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Apify API client for Python

Full documentation of the apify-client-python package version master, which simplifies access to the Apify API using Python

apify_client is the official library to access the Apify API from your Python applications. It provides useful features like automatic retries and convenience functions that improve the experience of using the Apify API.

Installation

Requires Python 3.7+

You can install the client from its PyPI listing. To do that, simply run pip install apify-client.

Quick Start

from apify_client import ApifyClient

apify_client = ApifyClient('MY-APIFY-TOKEN')

# Start an actor and waits for it to finish
actor_call = apify_client.actor('john-doe/my-cool-actor').call()

# Fetch results from the actor's default dataset
dataset_items = apify_client.dataset(actor_call['defaultDatasetId']).list_items().items

Features

Besides greatly simplifying the process of querying the Apify API, the client provides other useful features.

Automatic parsing and error handling

Based on the endpoint, the client automatically extracts the relevant data and returns it in the expected format. Date strings are automatically converted to datetime.datetime objects. For exceptions, we throw an ApifyApiError, which wraps the plain JSON errors returned by API and enriches them with other context for easier debugging.

Retries with exponential backoff

Network communication sometimes fails. The client will automatically retry requests that failed due to a network error, an internal error of the Apify API (HTTP 500+) or rate limit error (HTTP 429). By default, it will retry up to 8 times. First retry will be attempted after ~500ms, second after ~1000ms and so on. You can configure those parameters using the max_retries and min_delay_between_retries_millis options of the ApifyClient constructor.

Convenience functions and options

Some actions can't be performed by the API itself, such as indefinite waiting for an actor run to finish (because of network timeouts). The client provides convenient call() and wait_for_finish() functions that do that. Key-value store records can be retrieved as objects, buffers or streams via the respective options, dataset items can be fetched as individual objects or serialized data and we plan to add better stream support and async iterators.

Usage concepts

The ApifyClient interface follows a generic pattern that is applicable to all of its components. By calling individual methods of ApifyClient, specific clients which target individual API resources are created. There are two types of those clients. A client for management of a single resource and a client for a collection of resources.

from apify_client import ApifyClient
apify_client = ApifyClient('MY-APIFY-TOKEN')

# Collection clients do not require a parameter
actor_collection_client = apify_client.actors()
# Create an actor with the name: my-actor
my_actor = actor_collection_client.create(name='my-actor')
# List all of your actors
actor_list = actor_collection_client.list().items
# Collection clients do not require a parameter
dataset_collection_client = apify_client.datasets()
# Get (or create, if it doesn't exist) a dataset with the name of my-dataset
my_dataset = dataset_collection_client.get_or_create(name='my-dataset')
# Resource clients accept an ID of the resource
actor_client = apify_client.actor('john-doe/my-actor')
# Fetch the john-doe/my-actor object from the API
my_actor = actor_client.get()
# Start the run of john-doe/my-actor and return the Run object
my_actor_run = actor_client.start()
# Resource clients accept an ID of the resource
dataset_client = apify_client.dataset('john-doe/my-dataset')
# Append items to the end of john-doe/my-dataset
dataset_client.push_items([{ 'foo': 1 }, { 'bar': 2 }])

The ID of the resource can be either the id of the said resource, or a combination of your username/resource-name.

This is really all you need to remember, because all resource clients follow the pattern you see above.

Nested clients

Sometimes clients return other clients. That's to simplify working with nested collections, such as runs of a given actor.

actor_client = apify_client.actor('john-doe/my-actor')
runs_client = actor_client.runs()
# List the last 10 runs of the john-doe/hello-world actor
actor_runs = runs_client.list(limit=10, desc=True).items

# Select the last run of the john-doe/hello-world actor that finished with a SUCCEEDED status
last_succeeded_run_client = actor_client.last_run(status='SUCCEEDED')
# Fetch items from the run's dataset
dataset_items = last_succeeded_run_client.dataset().list_items().items

Pagination

Most methods named list or list_something return a ListPage object, containing properties items, total, offset, count and limit. There are some exceptions though, like list_keys or list_head which paginate differently. The results you're looking for are always stored under items and you can use the limit property to get only a subset of results. Other properties can be available depending on the method.

API Reference

All public classes, methods and their parameters can be inspected in this API reference.

ApifyClient

The Apify API client.

ApifyClient.__init__(token=None, *, api_url=None, max_retries=8, min_delay_between_retries_millis=500)

Initialize the Apify API Client.

  • Parameters

    • token (str, optional) – The Apify API token

    • api_url (str, optional) – The URL of the Apify API server to which to connect to. Defaults to https://api.apify.com

    • max_retries (int, optional) – How many times to retry a failed request at most

    • min_delay_between_retries_millis (int, optional) – How long will the client wait between retrying requests (increases exponentially from this value)

ApifyClient.actor(actor_id)

Retrieve the sub-client for manipulating a single actor.

  • Parameters

    • actor_id (str) – ID of the actor to be manipulated

  • Return type

    ActorClient

ApifyClient.actors()

Retrieve the sub-client for manipulating actors.

ApifyClient.build(build_id)

Retrieve the sub-client for manipulating a single actor build.

  • Parameters

    • build_id (str) – ID of the actor build to be manipulated

  • Return type

    BuildClient

ApifyClient.builds()

Retrieve the sub-client for querying multiple builds of a user.

ApifyClient.run(run_id)

Retrieve the sub-client for manipulating a single actor run.

  • Parameters

    • run_id (str) – ID of the actor run to be manipulated

  • Return type

    RunClient

ApifyClient.runs()

Retrieve the sub-client for querying multiple actor runs of a user.

ApifyClient.dataset(dataset_id)

Retrieve the sub-client for manipulating a single dataset.

  • Parameters

    • dataset_id (str) – ID of the dataset to be manipulated

  • Return type

    DatasetClient

ApifyClient.datasets()

Retrieve the sub-client for manipulating datasets.

ApifyClient.key_value_store(key_value_store_id)

Retrieve the sub-client for manipulating a single key-value store.

  • Parameters

    • key_value_store_id (str) – ID of the key-value store to be manipulated

  • Return type

    KeyValueStoreClient

ApifyClient.key_value_stores()

Retrieve the sub-client for manipulating key-value stores.

ApifyClient.request_queue(request_queue_id, *, client_key=None)

Retrieve the sub-client for manipulating a single request queue.

  • Parameters

    • request_queue_id (str) – ID of the request queue to be manipulated

    • client_key (str) – A unique identifier of the client accessing the request queue

  • Return type

    RequestQueueClient

ApifyClient.request_queues()

Retrieve the sub-client for manipulating request queues.

ApifyClient.webhook(webhook_id)

Retrieve the sub-client for manipulating a single webhook.

  • Parameters

    • webhook_id (str) – ID of the webhook to be manipulated

  • Return type

    WebhookClient

ApifyClient.webhooks()

Retrieve the sub-client for querying multiple webhooks of a user.

ApifyClient.webhook_dispatch(webhook_dispatch_id)

Retrieve the sub-client for accessing a single webhook dispatch.

  • Parameters

    • webhook_dispatch_id (str) – ID of the webhook dispatch to access

  • Return type

    WebhookDispatchClient

ApifyClient.webhook_dispatches()

Retrieve the sub-client for querying multiple webhook dispatches of a user.

ApifyClient.schedule(schedule_id)

Retrieve the sub-client for manipulating a single schedule.

  • Parameters

    • schedule_id (str) – ID of the schedule to be manipulated

  • Return type

    ScheduleClient

ApifyClient.schedules()

Retrieve the sub-client for manipulating schedules.

ApifyClient.log(build_or_run_id)

Retrieve the sub-client for retrieving logs.

  • Parameters

    • build_or_run_id (str) – ID of the actor build or run for which to access the log

  • Return type

    LogClient

ApifyClient.task(task_id)

Retrieve the sub-client for manipulating a single task.

  • Parameters

    • task_id (str) – ID of the task to be manipulated

  • Return type

    TaskClient

ApifyClient.tasks()

Retrieve the sub-client for manipulating tasks.

ApifyClient.user(user_id=None)

Retrieve the sub-client for querying users.

  • Parameters

    • user_id (str, optional) – ID of user to be queried. If None, queries the user belonging to the token supplied to the client

  • Return type

    UserClient

ActorClient

Sub-client for manipulating a single actor.

ActorClient.get()

Retrieve the actor.

https://docs.apify.com/api/v2#/reference/actors/actor-object/get-actor

  • Returns

    The retrieved actor

  • Return type

    dict, optional

ActorClient.update(*, name=None, title=None, description=None, seo_title=None, seo_description=None, versions=None, restart_on_error=None, is_public=None, is_deprecated=None, is_anonymously_runnable=None, categories=None, default_run_build=None, default_run_memory_mbytes=None, default_run_timeout_secs=None, example_run_input_body=None, example_run_input_content_type=None)

Update the actor with the specified fields.

https://docs.apify.com/api/v2#/reference/actors/actor-object/update-actor

  • Parameters

    • name (str, optional) – The name of the actor

    • title (str, optional) – The title of the actor (human-readable)

    • description (str, optional) – The description for the actor

    • seo_title (str, optional) – The title of the actor optimized for search engines

    • seo_description (str, optional) – The description of the actor optimized for search engines

    • versions (list of dict, optional) – The list of actor versions

    • restart_on_error (bool, optional) – If true, the main actor run process will be restarted whenever it exits with a non-zero status code.

    • is_public (bool, optional) – Whether the actor is public.

    • is_deprecated (bool, optional) – Whether the actor is deprecated.

    • is_anonymously_runnable (bool, optional) – Whether the actor is anonymously runnable.

    • categories (list of str, optional) – The categories to which the actor belongs to.

    • default_run_build (str, optional) – Tag or number of the build that you want to run by default.

    • default_run_memory_mbytes (int, optional) – Default amount of memory allocated for the runs of this actor, in megabytes.

    • default_run_timeout_secs (int, optional) – Default timeout for the runs of this actor in seconds.

    • example_run_input_body (Any, optional) – Input to be prefilled as default input to new users of this actor.

    • example_run_input_content_type (str, optional) – The content type of the example run input.

  • Returns

    The updated actor

  • Return type

    dict

ActorClient.delete()

Delete the actor.

https://docs.apify.com/api/v2#/reference/actors/actor-object/delete-actor

  • Return type

    None

ActorClient.start(*, run_input=None, content_type=None, build=None, memory_mbytes=None, timeout_secs=None, wait_for_finish=None, webhooks=None)

Start the actor and immediately return the Run object.

https://docs.apify.com/api/v2#/reference/actors/run-collection/run-actor

  • Parameters

    • run_input (Any, optional) – The input to pass to the actor run.

    • content_type (str, optional) – The content type of the input.

    • build (str, optional) – Specifies the actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the default run configuration for the actor (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the default run configuration for the actor.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the default run configuration for the actor.

    • wait_for_finish (int, optional) – The maximum number of seconds the server waits for the run to finish. By default, it is 0, the maximum value is 300.

    • webhooks (list of dict, optional) – Optional ad-hoc webhooks (https://docs.apify.com/webhooks/ad-hoc-webhooks) associated with the actor run which can be used to receive a notification, e.g. when the actor finished or failed. If you already have a webhook set up for the actor or task, you do not have to add it again here. Each webhook is represented by a dictionary containing these items:

      • event_types: list of WebhookEventType values which trigger the webhook
      • request_url: URL to which to send the webhook HTTP request
      • payload_template (optional): Optional template for the request payload

  • Returns

    The run object

  • Return type

    dict

ActorClient.call(*, run_input=None, content_type=None, build=None, memory_mbytes=None, timeout_secs=None, webhooks=None, wait_secs=None)

Start the actor and wait for it to finish before returning the Run object.

It waits indefinitely, unless the wait_secs argument is provided.

https://docs.apify.com/api/v2#/reference/actors/run-collection/run-actor

  • Parameters

    • run_input (Any, optional) – The input to pass to the actor run.

    • content_type (str, optional) – The content type of the input.

    • build (str, optional) – Specifies the actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the default run configuration for the actor (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the default run configuration for the actor.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the default run configuration for the actor.

    • webhooks (list, optional) – Optional webhooks (https://docs.apify.com/webhooks) associated with the actor run, which can be used to receive a notification, e.g. when the actor finished or failed. If you already have a webhook set up for the actor, you do not have to add it again here.

    • wait_secs (int, optional) – The maximum number of seconds the server waits for the run to finish. If not provided, waits indefinitely.

  • Returns

    The run object

  • Return type

    dict

ActorClient.build(*, version_number, beta_packages=None, tag=None, use_cache=None, wait_for_finish=None)

Build the actor.

https://docs.apify.com/api/v2#/reference/actors/build-collection/build-actor

  • Parameters

    • version_number (str) – Actor version number to be built.

    • beta_packages (bool, optional) – If True, then the actor is built with beta versions of Apify NPM packages. By default, the build uses latest stable packages.

    • tag (str, optional) – Tag to be applied to the build on success. By default, the tag is taken from the actor version’s buildTag property.

    • use_cache (bool, optional) – If true, the actor’s Docker container will be rebuilt using layer cache (https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#leverage-build-cache). This is to enable quick rebuild during development. By default, the cache is not used.

    • wait_for_finish (int, optional) – The maximum number of seconds the server waits for the build to finish before returning. By default it is 0, the maximum value is 300.

  • Returns

    The build object

  • Return type

    dict

ActorClient.builds()

Retrieve a client for the builds of this actor.

ActorClient.runs()

Retrieve a client for the runs of this actor.

ActorClient.last_run(*, status=None)

Retrieve the client for the last run of this actor.

Last run is retrieved based on the start time of the runs.

  • Parameters

    • status (ActorJobStatus, optional) – Consider only runs with this status.

  • Returns

    The resource client for the last run of this actor.

  • Return type

    RunClient

ActorClient.versions()

Retrieve a client for the versions of this actor.

ActorClient.version(version_number)

Retrieve the client for the specified version of this actor.

  • Parameters

    • version_number (str) – The version number for which to retrieve the resource client.

  • Returns

    The resource client for the specified actor version.

  • Return type

    ActorVersionClient

ActorClient.webhooks()

Retrieve a client for webhooks associated with this actor.

ActorCollectionClient

Sub-client for manipulating actors.

ActorCollectionClient.list(*, my=None, limit=None, offset=None, desc=None)

List the actors the user has created or used.

https://docs.apify.com/api/v2#/reference/actors/actor-collection/get-list-of-actors

  • Parameters

    • my (bool, optional) – If True, will return only actors which the user has created themselves.

    • limit (int, optional) – How many actors to list

    • offset (int, optional) – What actor to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the actors in descending order based on their creation date

  • Returns

    The list of available actors matching the specified filters.

  • Return type

    ListPage

ActorCollectionClient.create(*, name, title=None, description=None, seo_title=None, seo_description=None, versions=None, restart_on_error=None, is_public=None, is_deprecated=None, is_anonymously_runnable=None, categories=None, default_run_build=None, default_run_memory_mbytes=None, default_run_timeout_secs=None, example_run_input_body=None, example_run_input_content_type=None)

Create a new actor.

https://docs.apify.com/api/v2#/reference/actors/actor-collection/create-actor

  • Parameters

    • name (str) – The name of the actor

    • title (str, optional) – The title of the actor (human-readable)

    • description (str, optional) – The description for the actor

    • seo_title (str, optional) – The title of the actor optimized for search engines

    • seo_description (str, optional) – The description of the actor optimized for search engines

    • versions (list of dict, optional) – The list of actor versions

    • restart_on_error (bool, optional) – If true, the main actor run process will be restarted whenever it exits with a non-zero status code.

    • is_public (bool, optional) – Whether the actor is public.

    • is_deprecated (bool, optional) – Whether the actor is deprecated.

    • is_anonymously_runnable (bool, optional) – Whether the actor is anonymously runnable.

    • categories (list of str, optional) – The categories to which the actor belongs to.

    • default_run_build (str, optional) – Tag or number of the build that you want to run by default.

    • default_run_memory_mbytes (int, optional) – Default amount of memory allocated for the runs of this actor, in megabytes.

    • default_run_timeout_secs (int, optional) – Default timeout for the runs of this actor in seconds.

    • example_run_input_body (Any, optional) – Input to be prefilled as default input to new users of this actor.

    • example_run_input_content_type (str, optional) – The content type of the example run input.

  • Returns

    The created actor.

  • Return type

    dict

ActorVersionClient

Sub-client for manipulating a single actor version.

ActorVersionClient.get()

Return information about the actor version.

https://docs.apify.com/api/v2#/reference/actors/version-object/get-version

  • Returns

    The retrieved actor version data

  • Return type

    dict, optional

ActorVersionClient.update(*, build_tag=None, env_vars=None, apply_env_vars_to_build=None, source_type=None, source_files=None, git_repo_url=None, tarball_url=None, github_gist_url=None)

Update the actor version with specified fields.

https://docs.apify.com/api/v2#/reference/actors/version-object/update-version

  • Parameters

    • build_tag (str, optional) – Tag that is automatically set to the latest successful build of the current version.

    • env_vars (list of dict, optional) – Environment variables that will be available to the actor run process, and optionally also to the build process. See the API docs for their exact structure.

    • apply_env_vars_to_build (bool, optional) – Whether the environment variables specified for the actor run will also be set to the actor build process.

    • source_type (ActorSourceType, optional) – What source type is the actor version using.

    • source_files (list of dict, optional) – Source code comprised of multiple files, each an item of the array. Required when source_type is ActorSourceType.SOURCE_FILES. See the API docs for the exact structure.

    • git_repo_url (str, optional) – The URL of a Git repository from which the source code will be cloned. Required when source_type is ActorSourceType.GIT_REPO.

    • tarball_url (str, optional) – The URL of a tarball or a zip archive from which the source code will be downloaded. Required when source_type is ActorSourceType.TARBALL.

    • github_gist_url (str, optional) – The URL of a GitHub Gist from which the source will be downloaded. Required when source_type is ActorSourceType.GITHUB_GIST.

  • Returns

    The updated actor version

  • Return type

    dict

ActorVersionClient.delete()

Delete the actor version.

https://docs.apify.com/api/v2#/reference/actors/version-object/delete-version

  • Return type

    None

ActorVersionCollectionClient

Sub-client for manipulating actor versions.

ActorVersionCollectionClient.list()

List the available actor versions.

https://docs.apify.com/api/v2#/reference/actors/version-collection/get-list-of-versions

  • Returns

    The list of available actor versions.

  • Return type

    ListPage

ActorVersionCollectionClient.create(*, version_number, build_tag=None, env_vars=None, apply_env_vars_to_build=None, source_type, source_files=None, git_repo_url=None, tarball_url=None, github_gist_url=None)

Create a new actor version.

https://docs.apify.com/api/v2#/reference/actors/version-collection/create-version

  • Parameters

    • version_number (str) – Major and minor version of the actor (e.g. 1.0)

    • build_tag (str, optional) – Tag that is automatically set to the latest successful build of the current version.

    • env_vars (list of dict, optional) – Environment variables that will be available to the actor run process, and optionally also to the build process. See the API docs for their exact structure.

    • apply_env_vars_to_build (bool, optional) – Whether the environment variables specified for the actor run will also be set to the actor build process.

    • source_type (ActorSourceType) – What source type is the actor version using.

    • source_files (list of dict, optional) – Source code comprised of multiple files, each an item of the array. Required when source_type is ActorSourceType.SOURCE_FILES. See the API docs for the exact structure.

    • git_repo_url (str, optional) – The URL of a Git repository from which the source code will be cloned. Required when source_type is ActorSourceType.GIT_REPO.

    • tarball_url (str, optional) – The URL of a tarball or a zip archive from which the source code will be downloaded. Required when source_type is ActorSourceType.TARBALL.

    • github_gist_url (str, optional) – The URL of a GitHub Gist from which the source will be downloaded. Required when source_type is ActorSourceType.GITHUB_GIST.

  • Returns

    The created actor version

  • Return type

    dict

RunClient

Sub-client for manipulating a single actor run.

RunClient.get()

Return information about the actor run.

https://docs.apify.com/api/v2#/reference/actor-runs/run-object/get-run

  • Returns

    The retrieved actor run data

  • Return type

    dict

RunClient.abort(*, gracefully=None)

Abort the actor run which is starting or currently running and return its details.

https://docs.apify.com/api/v2#/reference/actor-runs/abort-run/abort-run

  • Parameters

    • gracefully (bool, optional) – If True, the actor run will abort gracefully. It will send aborting and persistStates events into the run and force-stop the run after 30 seconds. It is helpful in cases where you plan to resurrect the run later.

  • Returns

    The data of the aborted actor run

  • Return type

    dict

RunClient.wait_for_finish(*, wait_secs=None)

Wait synchronously until the run finishes or the server times out.

  • Parameters

    • wait_secs (int, optional) – how long does the client wait for run to finish. None for indefinite.

  • Returns

    The actor run data. If the status on the object is not one of the terminal statuses

    (SUCEEDED, FAILED, TIMED_OUT, ABORTED), then the run has not yet finished.

  • Return type

    dict, optional

RunClient.metamorph(*, target_actor_id, target_actor_build=None, run_input=None, content_type=None)

Transform an actor run into a run of another actor with a new input.

https://docs.apify.com/api/v2#/reference/actor-runs/metamorph-run/metamorph-run

  • Parameters

    • target_actor_id (str) – ID of the target actor that the run should be transformed into

    • target_actor_build (str, optional) – The build of the target actor. It can be either a build tag or build number. By default, the run uses the build specified in the default run configuration for the target actor (typically the latest build).

    • run_input (Any, optional) – The input to pass to the new run.

    • content_type (str, optional) – The content type of the input.

  • Returns

    The actor run data.

  • Return type

    dict

RunClient.resurrect()

Resurrect a finished actor run.

Only finished runs, i.e. runs with status FINISHED, FAILED, ABORTED and TIMED-OUT can be resurrected. Run status will be updated to RUNNING and its container will be restarted with the same default storages.

https://docs.apify.com/api/v2#/reference/actor-runs/resurrect-run/resurrect-run

  • Returns

    The actor run data.

  • Return type

    dict

RunClient.dataset()

Get the client for the default dataset of the actor run.

https://docs.apify.com/api/v2#/reference/actors/last-run-object-and-its-storages

  • Returns

    A client allowing access to the default dataset of this actor run.

  • Return type

    DatasetClient

RunClient.key_value_store()

Get the client for the default key-value store of the actor run.

https://docs.apify.com/api/v2#/reference/actors/last-run-object-and-its-storages

  • Returns

    A client allowing access to the default key-value store of this actor run.

  • Return type

    KeyValueStoreClient

RunClient.request_queue()

Get the client for the default request queue of the actor run.

https://docs.apify.com/api/v2#/reference/actors/last-run-object-and-its-storages

  • Returns

    A client allowing access to the default request_queue of this actor run.

  • Return type

    RequestQueueClient

RunClient.log()

Get the client for the log of the actor run.

https://docs.apify.com/api/v2#/reference/actors/last-run-object-and-its-storages

  • Returns

    A client allowing access to the log of this actor run.

  • Return type

    LogClient

RunCollectionClient

Sub-client for listing actor runs.

RunCollectionClient.list(*, limit=None, offset=None, desc=None, status=None)

List all actor runs (either of a single actor, or all user’s actors, depending on where this client was initialized from).

https://docs.apify.com/api/v2#/reference/actors/run-collection/get-list-of-runs https://docs.apify.com/api/v2#/reference/actor-runs/run-collection/get-user-runs-list

  • Parameters

    • limit (int, optional) – How many runs to retrieve

    • offset (int, optional) – What run to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the runs in descending order based on their start date

    • status (ActorJobStatus, optional) – Retrieve only runs with the provided status

  • Returns

    The retrieved actor runs

  • Return type

    ListPage

BuildClient

Sub-client for manipulating a single actor build.

BuildClient.get()

Return information about the actor build.

https://docs.apify.com/api/v2#/reference/actor-builds/build-object/get-build

  • Returns

    The retrieved actor build data

  • Return type

    dict, optional

BuildClient.abort()

Abort the actor build which is starting or currently running and return its details.

https://docs.apify.com/api/v2#/reference/actor-builds/abort-build/abort-build

  • Returns

    The data of the aborted actor build

  • Return type

    dict

BuildClient.wait_for_finish(*, wait_secs=None)

Wait synchronously until the build finishes or the server times out.

  • Parameters

    • wait_secs (int, optional) – how long does the client wait for build to finish. None for indefinite.

  • Returns

    The actor build data. If the status on the object is not one of the terminal statuses

    (SUCEEDED, FAILED, TIMED_OUT, ABORTED), then the build has not yet finished.

  • Return type

    dict, optional

BuildCollectionClient

Sub-client for listing actor builds.

BuildCollectionClient.list(*, limit=None, offset=None, desc=None)

List all actor builds (either of a single actor, or all user’s actors, depending on where this client was initialized from).

https://docs.apify.com/api/v2#/reference/actors/build-collection/get-list-of-builds https://docs.apify.com/api/v2#/reference/actor-builds/build-collection/get-user-builds-list

  • Parameters

    • limit (int, optional) – How many builds to retrieve

    • offset (int, optional) – What build to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the builds in descending order based on their start date

  • Returns

    The retrieved actor builds

  • Return type

    ListPage

DatasetClient

Sub-client for manipulating a single dataset.

DatasetClient.get()

Retrieve the dataset.

https://docs.apify.com/api/v2#/reference/datasets/dataset/get-dataset

  • Returns

    The retrieved dataset, or None, if it does not exist

  • Return type

    dict, optional

DatasetClient.update(*, name=None)

Update the dataset with specified fields.

https://docs.apify.com/api/v2#/reference/datasets/dataset/update-dataset

  • Parameters

    • name (str, optional) – The new name for the dataset

  • Returns

    The updated dataset

  • Return type

    dict

DatasetClient.delete()

Delete the dataset.

https://docs.apify.com/api/v2#/reference/datasets/dataset/delete-dataset

  • Return type

    None

DatasetClient.list_items(*, offset=None, limit=None, clean=None, desc=None, fields=None, omit=None, unwind=None, skip_empty=None, skip_hidden=None)

List the items of the dataset.

https://docs.apify.com/api/v2#/reference/datasets/item-collection/get-items

  • Parameters

    • offset (int, optional) – Number of items that should be skipped at the start. The default value is 0

    • limit (int, optional) – Maximum number of items to return. By default there is no limit.

    • desc (bool, optional) – By default, results are returned in the same order as they were stored. To reverse the order, set this parameter to True.

    • clean (bool, optional) – If True, returns only non-empty items and skips hidden fields (i.e. fields starting with the # character). The clean parameter is just a shortcut for skip_hidden=True and skip_empty=True parameters. Note that since some objects might be skipped from the output, that the result might contain less items than the limit value.

    • fields (list of str, optional) – A list of fields which should be picked from the items, only these fields will remain in the resulting record objects. Note that the fields in the outputted items are sorted the same way as they are specified in the fields parameter. You can use this feature to effectively fix the output format.

    • omit (list of str, optional) – A list of fields which should be omitted from the items.

    • unwind (str, optional) – Name of a field which should be unwound. If the field is an array then every element of the array will become a separate record and merged with parent object. If the unwound field is an object then it is merged with the parent object. If the unwound field is missing or its value is neither an array nor an object and therefore cannot be merged with a parent object, then the item gets preserved as it is. Note that the unwound items ignore the desc parameter.

    • skip_empty (bool, optional) – If True, then empty items are skipped from the output. Note that if used, the results might contain less items than the limit value.

    • skip_hidden (bool, optional) – If True, then hidden fields are skipped from the output, i.e. fields starting with the # character.

  • Returns

    A page of the list of dataset items according to the specified filters.

  • Return type

    ListPage

DatasetClient.iterate_items(*, offset=0, limit=None, clean=None, desc=None, fields=None, omit=None, unwind=None, skip_empty=None, skip_hidden=None)

Iterate over the items in the dataset.

https://docs.apify.com/api/v2#/reference/datasets/item-collection/get-items

  • Parameters

    • offset (int, optional) – Number of items that should be skipped at the start. The default value is 0

    • limit (int, optional) – Maximum number of items to return. By default there is no limit.

    • desc (bool, optional) – By default, results are returned in the same order as they were stored. To reverse the order, set this parameter to True.

    • clean (bool, optional) – If True, returns only non-empty items and skips hidden fields (i.e. fields starting with the # character). The clean parameter is just a shortcut for skip_hidden=True and skip_empty=True parameters. Note that since some objects might be skipped from the output, that the result might contain less items than the limit value.

    • fields (list of str, optional) – A list of fields which should be picked from the items, only these fields will remain in the resulting record objects. Note that the fields in the outputted items are sorted the same way as they are specified in the fields parameter. You can use this feature to effectively fix the output format.

    • omit (list of str, optional) – A list of fields which should be omitted from the items.

    • unwind (str, optional) – Name of a field which should be unwound. If the field is an array then every element of the array will become a separate record and merged with parent object. If the unwound field is an object then it is merged with the parent object. If the unwound field is missing or its value is neither an array nor an object and therefore cannot be merged with a parent object, then the item gets preserved as it is. Note that the unwound items ignore the desc parameter.

    • skip_empty (bool, optional) – If True, then empty items are skipped from the output. Note that if used, the results might contain less items than the limit value.

    • skip_hidden (bool, optional) – If True, then hidden fields are skipped from the output, i.e. fields starting with the # character.

  • Yields

    dict – An item from the dataset

  • Return type

    Generator

DatasetClient.download_items(*, item_format='json', offset=None, limit=None, desc=None, clean=None, bom=None, delimiter=None, fields=None, omit=None, unwind=None, skip_empty=None, skip_header_row=None, skip_hidden=None, xml_root=None, xml_row=None)

Download the items in the dataset as raw bytes.

https://docs.apify.com/api/v2#/reference/datasets/item-collection/get-items

  • Parameters

    • item_format (str) – Format of the results, possible values are: json, jsonl, csv, html, xlsx, xml and rss. The default value is json.

    • offset (int, optional) – Number of items that should be skipped at the start. The default value is 0

    • limit (int, optional) – Maximum number of items to return. By default there is no limit.

    • desc (bool, optional) – By default, results are returned in the same order as they were stored. To reverse the order, set this parameter to True.

    • clean (bool, optional) – If True, returns only non-empty items and skips hidden fields (i.e. fields starting with the # character). The clean parameter is just a shortcut for skip_hidden=True and skip_empty=True parameters. Note that since some objects might be skipped from the output, that the result might contain less items than the limit value.

    • bom (bool, optional) – All text responses are encoded in UTF-8 encoding. By default, csv files are prefixed with the UTF-8 Byte Order Mark (BOM), while json, jsonl, xml, html and rss files are not. If you want to override this default behavior, specify bom=True query parameter to include the BOM or bom=False to skip it.

    • delimiter (str, optional) – A delimiter character for CSV files. The default delimiter is a simple comma (,).

    • fields (list of str, optional) – A list of fields which should be picked from the items, only these fields will remain in the resulting record objects. Note that the fields in the outputted items are sorted the same way as they are specified in the fields parameter. You can use this feature to effectively fix the output format.

    • omit (list of str, optional) – A list of fields which should be omitted from the items.

    • unwind (str, optional) – Name of a field which should be unwound. If the field is an array then every element of the array will become a separate record and merged with parent object. If the unwound field is an object then it is merged with the parent object. If the unwound field is missing or its value is neither an array nor an object and therefore cannot be merged with a parent object, then the item gets preserved as it is. Note that the unwound items ignore the desc parameter.

    • skip_empty (bool, optional) – If True, then empty items are skipped from the output. Note that if used, the results might contain less items than the limit value.

    • skip_header_row (bool, optional) – If True, then header row in the csv format is skipped.

    • skip_hidden (bool, optional) – If True, then hidden fields are skipped from the output, i.e. fields starting with the # character.

    • xml_root (str, optional) – Overrides default root element name of xml output. By default the root element is items.

    • xml_row (str, optional) – Overrides default element name that wraps each page or page function result object in xml output. By default the element name is item.

  • Returns

    The dataset items as raw bytes

  • Return type

    bytes

DatasetClient.stream_items(*, item_format='json', offset=None, limit=None, desc=None, clean=None, bom=None, delimiter=None, fields=None, omit=None, unwind=None, skip_empty=None, skip_header_row=None, skip_hidden=None, xml_root=None, xml_row=None)

Retrieve the items in the dataset as a file-like object.

https://docs.apify.com/api/v2#/reference/datasets/item-collection/get-items

  • Parameters

    • item_format (str) – Format of the results, possible values are: json, jsonl, csv, html, xlsx, xml and rss. The default value is json.

    • offset (int, optional) – Number of items that should be skipped at the start. The default value is 0

    • limit (int, optional) – Maximum number of items to return. By default there is no limit.

    • desc (bool, optional) – By default, results are returned in the same order as they were stored. To reverse the order, set this parameter to True.

    • clean (bool, optional) – If True, returns only non-empty items and skips hidden fields (i.e. fields starting with the # character). The clean parameter is just a shortcut for skip_hidden=True and skip_empty=True parameters. Note that since some objects might be skipped from the output, that the result might contain less items than the limit value.

    • bom (bool, optional) – All text responses are encoded in UTF-8 encoding. By default, csv files are prefixed with the UTF-8 Byte Order Mark (BOM), while json, jsonl, xml, html and rss files are not. If you want to override this default behavior, specify bom=True query parameter to include the BOM or bom=False to skip it.

    • delimiter (str, optional) – A delimiter character for CSV files. The default delimiter is a simple comma (,).

    • fields (list of str, optional) – A list of fields which should be picked from the items, only these fields will remain in the resulting record objects. Note that the fields in the outputted items are sorted the same way as they are specified in the fields parameter. You can use this feature to effectively fix the output format.

    • omit (list of str, optional) – A list of fields which should be omitted from the items.

    • unwind (str, optional) – Name of a field which should be unwound. If the field is an array then every element of the array will become a separate record and merged with parent object. If the unwound field is an object then it is merged with the parent object. If the unwound field is missing or its value is neither an array nor an object and therefore cannot be merged with a parent object, then the item gets preserved as it is. Note that the unwound items ignore the desc parameter.

    • skip_empty (bool, optional) – If True, then empty items are skipped from the output. Note that if used, the results might contain less items than the limit value.

    • skip_header_row (bool, optional) – If True, then header row in the csv format is skipped.

    • skip_hidden (bool, optional) – If True, then hidden fields are skipped from the output, i.e. fields starting with the # character.

    • xml_root (str, optional) – Overrides default root element name of xml output. By default the root element is items.

    • xml_row (str, optional) – Overrides default element name that wraps each page or page function result object in xml output. By default the element name is item.

  • Returns

    The dataset items as a file-like object

  • Return type

    io.IOBase

DatasetClient.push_items(items)

Push items to the dataset.

https://docs.apify.com/api/v2#/reference/datasets/item-collection/put-items

  • Parameters

    • items (Union[str, int, float, bool, None, Dict[str, Any], List[Any]]) – The items which to push in the dataset. Either a stringified JSON, a dictionary, or a list of strings or dictionaries.

  • Return type

    None

DatasetCollectionClient

Sub-client for manipulating datasets.

DatasetCollectionClient.list(*, unnamed=None, limit=None, offset=None, desc=None)

List the available datasets.

https://docs.apify.com/api/v2#/reference/datasets/dataset-collection/get-list-of-datasets

  • Parameters

    • unnamed (bool, optional) – Whether to include unnamed datasets in the list

    • limit (int, optional) – How many datasets to retrieve

    • offset (int, optional) – What dataset to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the datasets in descending order based on their modification date

  • Returns

    The list of available datasets matching the specified filters.

  • Return type

    ListPage

DatasetCollectionClient.get_or_create(*, name=None)

Retrieve a named dataset, or create a new one when it doesn’t exist.

https://docs.apify.com/api/v2#/reference/datasets/dataset-collection/create-dataset

  • Parameters

    • name (str, optional) – The name of the dataset to retrieve or create.

  • Returns

    The retrieved or newly-created dataset.

  • Return type

    dict

KeyValueStoreClient

Sub-client for manipulating a single key-value store.

KeyValueStoreClient.get()

Retrieve the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/store-object/get-store

  • Returns

    The retrieved key-value store, or None if it does not exist

  • Return type

    dict, optional

KeyValueStoreClient.update(*, name=None)

Update the key-value store with specified fields.

https://docs.apify.com/api/v2#/reference/key-value-stores/store-object/update-store

  • Parameters

    • name (str, optional) – The new name for key-value store

  • Returns

    The updated key-value store

  • Return type

    dict

KeyValueStoreClient.delete()

Delete the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/store-object/delete-store

  • Return type

    None

KeyValueStoreClient.list_keys(*, limit=None, exclusive_start_key=None)

List the keys in the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/key-collection/get-list-of-keys

  • Parameters

    • limit (int, optional) – Number of keys to be returned. Maximum value is 1000

    • exclusive_start_key (str, optional) – All keys up to this one (including) are skipped from the result

  • Returns

    The list of keys in the key-value store matching the given arguments

  • Return type

    dict

KeyValueStoreClient.get_record(key, *, as_bytes=False, as_file=False)

Retrieve the given record from the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/record/get-record

  • Parameters

    • key (str) – Key of the record to retrieve

    • as_bytes (bool, optional) – Whether to retrieve the record as unparsed bytes, default False

    • as_file (bool, optional) – Whether to retrieve the record as a file-like object, default False

  • Returns

    The requested record, or None, if the record does not exist

  • Return type

    dict, optional

KeyValueStoreClient.set_record(key, value, content_type=None)

Set a value to the given record in the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/record/put-record

  • Parameters

    • key (str) – The key of the record to save the value to

    • value (Any) – The value to save into the record

    • content_type (str, optional) – The content type of the saved value

  • Return type

    None

KeyValueStoreClient.delete_record(key)

Delete the specified record from the key-value store.

https://docs.apify.com/api/v2#/reference/key-value-stores/record/delete-record

  • Parameters

    • key (str) – The key of the record which to delete

  • Return type

    None

KeyValueStoreCollectionClient

Sub-client for manipulating key-value stores.

KeyValueStoreCollectionClient.list(*, unnamed=None, limit=None, offset=None, desc=None)

List the available key-value stores.

https://docs.apify.com/api/v2#/reference/key-value-stores/store-collection/get-list-of-key-value-stores

  • Parameters

    • unnamed (bool, optional) – Whether to include unnamed key-value stores in the list

    • limit (int, optional) – How many key-value stores to retrieve

    • offset (int, optional) – What key-value store to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the key-value stores in descending order based on their modification date

  • Returns

    The list of available key-value stores matching the specified filters.

  • Return type

    ListPage

KeyValueStoreCollectionClient.get_or_create(*, name=None)

Retrieve a named key-value store, or create a new one when it doesn’t exist.

https://docs.apify.com/api/v2#/reference/key-value-stores/store-collection/create-key-value-store

  • Parameters

    • name (str, optional) – The name of the key-value store to retrieve or create.

  • Returns

    The retrieved or newly-created key-value store.

  • Return type

    dict

RequestQueueClient

Sub-client for manipulating a single request queue.

RequestQueueClient.get()

Retrieve the request queue.

https://docs.apify.com/api/v2#/reference/request-queues/queue/get-request-queue

  • Returns

    The retrieved request queue, or None, if it does not exist

  • Return type

    dict, optional

RequestQueueClient.update(*, name=None)

Update the request queue with specified fields.

https://docs.apify.com/api/v2#/reference/request-queues/queue/update-request-queue

  • Parameters

    • name (str, optional) – The new name for the request queue

  • Returns

    The updated request queue

  • Return type

    dict

RequestQueueClient.delete()

Delete the request queue.

https://docs.apify.com/api/v2#/reference/request-queues/queue/delete-request-queue

  • Return type

    None

RequestQueueClient.list_head(*, limit=None)

Retrieve a given number of requests from the beginning of the queue.

https://docs.apify.com/api/v2#/reference/request-queues/queue-head/get-head

  • Parameters

    • limit (int, optional) – How many requests to retrieve

  • Returns

    The desired number of requests from the beginning of the queue.

  • Return type

    dict

RequestQueueClient.add_request(request, *, forefront=None)

Add a request to the queue.

https://docs.apify.com/api/v2#/reference/request-queues/request-collection/add-request

  • Parameters

    • request (dict) – The request to add to the queue

    • forefront (bool, optional) – Whether to add the request to the head or the end of the queue

  • Returns

    The added request.

  • Return type

    dict

RequestQueueClient.get_request(request_id)

Retrieve a request from the queue.

https://docs.apify.com/api/v2#/reference/request-queues/request/get-request

  • Parameters

    • request_id (str) – ID of the request to retrieve

  • Returns

    The retrieved request, or None, if it did not exist.

  • Return type

    dict, optional

RequestQueueClient.update_request(request, *, forefront=None)

Update a request in the queue.

https://docs.apify.com/api/v2#/reference/request-queues/request/update-request

  • Parameters

    • request (dict) – The updated request

    • forefront (bool, optional) – Whether to put the updated request in the beginning or the end of the queue

  • Returns

    The updated request

  • Return type

    dict

RequestQueueClient.delete_request(request_id)

Delete a request from the queue.

https://docs.apify.com/api/v2#/reference/request-queues/request/delete-request

  • Parameters

    • request_id (str) – ID of the request to delete.

  • Return type

    None

RequestQueueCollectionClient

Sub-client for manipulating request queues.

RequestQueueCollectionClient.list(*, unnamed=None, limit=None, offset=None, desc=None)

List the available request queues.

https://docs.apify.com/api/v2#/reference/request-queues/queue-collection/get-list-of-request-queues

  • Parameters

    • unnamed (bool, optional) – Whether to include unnamed request queues in the list

    • limit (int, optional) – How many request queues to retrieve

    • offset (int, optional) – What request queue to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort therequest queues in descending order based on their modification date

  • Returns

    The list of available request queues matching the specified filters.

  • Return type

    ListPage

RequestQueueCollectionClient.get_or_create(*, name=None)

Retrieve a named request queue, or create a new one when it doesn’t exist.

https://docs.apify.com/api/v2#/reference/request-queues/queue-collection/create-request-queue

  • Parameters

    • name (str, optional) – The name of the request queue to retrieve or create.

  • Returns

    The retrieved or newly-created request queue.

  • Return type

    dict

LogClient

Sub-client for manipulating logs.

LogClient.get()

Retrieve the log as text.

https://docs.apify.com/api/v2#/reference/logs/log/get-log

  • Returns

    The retrieved log, or None, if it does not exist.

  • Return type

    str, optional

LogClient.stream()

Retrieve the log as a file-like object.

https://docs.apify.com/api/v2#/reference/logs/log/get-log

  • Returns

    The retrieved log as a file-like object, or None, if it does not exist.

  • Return type

    io.IOBase, optional

WebhookClient

Sub-client for manipulating a single webhook.

WebhookClient.get()

Retrieve the webhook.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-object/get-webhook

  • Returns

    The retrieved webhook, or None if it does not exist

  • Return type

    dict, optional

WebhookClient.update(*, event_types=None, request_url=None, payload_template=None, actor_id=None, actor_task_id=None, actor_run_id=None, ignore_ssl_errors=None, do_not_retry=None, is_ad_hoc=None)

Update the webhook.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-object/update-webhook

  • Parameters

    • event_types (list of WebhookEventType, optional) – List of event types that should trigger the webhook. At least one is required.

    • request_url (str, optional) – URL that will be invoked once the webhook is triggered.

    • payload_template (str, optional) – Specification of the payload that will be sent to request_url

    • actor_id (str, optional) – Id of the actor whose runs should trigger the webhook.

    • actor_task_id (str, optional) – Id of the actor task whose runs should trigger the webhook.

    • actor_run_id (str, optional) – Id of the actor run which should trigger the webhook.

    • ignore_ssl_errors (bool, optional) – Whether the webhook should ignore SSL errors returned by request_url

    • do_not_retry (bool, optional) – Whether the webhook should retry sending the payload to request_url upon failure.

    • is_ad_hoc (bool, optional) – Set to True if you want the webhook to be triggered only the first time the condition is fulfilled. Only applicable when actor_run_id is filled.

  • Returns

    The updated webhook

  • Return type

    dict

WebhookClient.delete()

Delete the webhook.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-object/delete-webhook

  • Return type

    None

WebhookClient.test()

Test a webhook.

Creates a webhook dispatch with a dummy payload.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-test/test-webhook

  • Returns

    The webhook dispatch created by the test

  • Return type

    dict, optional

WebhookClient.dispatches()

Get dispatches of the webhook.

https://docs.apify.com/api/v2#/reference/webhooks/dispatches-collection/get-collection

WebhookCollectionClient

Sub-client for manipulating webhooks.

WebhookCollectionClient.list(*, limit=None, offset=None, desc=None)

List the available webhooks.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-collection/get-list-of-webhooks

  • Parameters

    • limit (int, optional) – How many webhooks to retrieve

    • offset (int, optional) – What webhook to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the webhooks in descending order based on their date of creation

  • Returns

    The list of available webhooks matching the specified filters.

  • Return type

    ListPage

WebhookCollectionClient.create(*, event_types, request_url, payload_template=None, actor_id=None, actor_task_id=None, actor_run_id=None, ignore_ssl_errors=None, do_not_retry=None, idempotency_key=None, is_ad_hoc=None)

Create a new webhook.

You have to specify exactly one out of actor_id, actor_task_id or actor_run_id.

https://docs.apify.com/api/v2#/reference/webhooks/webhook-collection/create-webhook

  • Parameters

    • event_types (list of WebhookEventType) – List of event types that should trigger the webhook. At least one is required.

    • request_url (str) – URL that will be invoked once the webhook is triggered.

    • payload_template (str, optional) – Specification of the payload that will be sent to request_url

    • actor_id (str, optional) – Id of the actor whose runs should trigger the webhook.

    • actor_task_id (str, optional) – Id of the actor task whose runs should trigger the webhook.

    • actor_run_id (str, optional) – Id of the actor run which should trigger the webhook.

    • ignore_ssl_errors (bool, optional) – Whether the webhook should ignore SSL errors returned by request_url

    • do_not_retry (bool, optional) – Whether the webhook should retry sending the payload to request_url upon failure.

    • idempotency_key (str, optional) – A unique identifier of a webhook. You can use it to ensure that you won’t create the same webhook multiple times.

    • is_ad_hoc (bool, optional) – Set to True if you want the webhook to be triggered only the first time the condition is fulfilled. Only applicable when actor_run_id is filled.

  • Returns

    The created webhook

  • Return type

    dict

WebhookDispatchClient

Sub-client for querying information about a webhook dispatch.

WebhookDispatchClient.get()

Retrieve the webhook dispatch.

https://docs.apify.com/api/v2#/reference/webhook-dispatches/webhook-dispatch-object/get-webhook-dispatch

  • Returns

    The retrieved webhook dispatch, or None if it does not exist

  • Return type

    dict, optional

WebhookDispatchCollectionClient

Sub-client for listing webhook dispatches.

WebhookDispatchCollectionClient.list(*, limit=None, offset=None, desc=None)

List all webhook dispatches of a user.

https://docs.apify.com/api/v2#/reference/webhook-dispatches/webhook-dispatches-collection/get-list-of-webhook-dispatches

  • Parameters

    • limit (int, optional) – How many webhook dispatches to retrieve

    • offset (int, optional) – What webhook dispatch to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the webhook dispatches in descending order based on the date of their creation

  • Returns

    The retrieved webhook dispatches of a user

  • Return type

    ListPage

TaskClient

Sub-client for manipulating a single task.

TaskClient.get()

Retrieve the task.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-object/get-task

  • Returns

    The retrieved task

  • Return type

    dict, optional

TaskClient.update(*, name=None, task_input=None, build=None, memory_mbytes=None, timeout_secs=None)

Update the task with specified fields.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-object/update-task

  • Parameters

    • name (str, optional) – Name of the task

    • build (str, optional) – Actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the task settings (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the task settings.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the task settings.

    • task_input (dict, optional) – Task input dictionary

  • Returns

    The updated task

  • Return type

    dict

TaskClient.delete()

Delete the task.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-object/delete-task

  • Return type

    None

TaskClient.start(*, task_input=None, build=None, memory_mbytes=None, timeout_secs=None, wait_for_finish=None, webhooks=None)

Start the task and immediately return the Run object.

https://docs.apify.com/api/v2#/reference/actor-tasks/run-collection/run-task

  • Parameters

    • task_input (dict, optional) – Task input dictionary

    • build (str, optional) – Specifies the actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the task settings (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the task settings.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the task settings.

    • wait_for_finish (int, optional) – The maximum number of seconds the server waits for the run to finish. By default, it is 0, the maximum value is 300.

    • webhooks (list of dict, optional) – Optional ad-hoc webhooks (https://docs.apify.com/webhooks/ad-hoc-webhooks) associated with the actor run which can be used to receive a notification, e.g. when the actor finished or failed. If you already have a webhook set up for the actor or task, you do not have to add it again here. Each webhook is represented by a dictionary containing these items:

      • event_types: list of WebhookEventType values which trigger the webhook
      • request_url: URL to which to send the webhook HTTP request
      • payload_template (optional): Optional template for the request payload

  • Returns

    The run object

  • Return type

    dict

TaskClient.call(*, task_input=None, build=None, memory_mbytes=None, timeout_secs=None, webhooks=None, wait_secs=None)

Start a task and wait for it to finish before returning the Run object.

It waits indefinitely, unless the wait_secs argument is provided.

https://docs.apify.com/api/v2#/reference/actor-tasks/run-collection/run-task

  • Parameters

    • task_input (dict, optional) – Task input dictionary

    • build (str, optional) – Specifies the actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the task settings (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the task settings.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the task settings.

    • webhooks (list, optional) – Specifies optional webhooks associated with the actor run, which can be used to receive a notification e.g. when the actor finished or failed. Note: if you already have a webhook set up for the actor or task, you do not have to add it again here.

    • wait_secs (int, optional) – The maximum number of seconds the server waits for the task run to finish. If not provided, waits indefinitely.

  • Returns

    The run object

  • Return type

    dict

TaskClient.get_input()

Retrieve the default input for this task.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-input-object/get-task-input

  • Returns

    Retrieved task input

  • Return type

    dict, optional

TaskClient.update_input(*, task_input)

Update the default input for this task.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-input-object/update-task-input

  • Return type

    Dict

  • Returns

    dict, Retrieved task input

TaskClient.runs()

Retrieve a client for the runs of this task.

TaskClient.last_run(*, status=None)

Retrieve the client for the last run of this task.

Last run is retrieved based on the start time of the runs.

  • Parameters

    • status (ActorJobStatus, optional) – Consider only runs with this status.

  • Returns

    The resource client for the last run of this task.

  • Return type

    RunClient

TaskClient.webhooks()

Retrieve a client for webhooks associated with this task.

TaskCollectionClient

Sub-client for manipulating tasks.

TaskCollectionClient.list(*, limit=None, offset=None, desc=None)

List the available tasks.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-collection/get-list-of-tasks

  • Parameters

    • limit (int, optional) – How many tasks to list

    • offset (int, optional) – What task to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the tasks in descending order based on their creation date

  • Returns

    The list of available tasks matching the specified filters.

  • Return type

    ListPage

TaskCollectionClient.create(*, actor_id, name, build=None, timeout_secs=None, memory_mbytes=None, task_input=None)

Create a new task.

https://docs.apify.com/api/v2#/reference/actor-tasks/task-collection/create-task

  • Parameters

    • actor_id (str) – Id of the actor that should be run

    • name (str) – Name of the task

    • build (str, optional) – Actor build to run. It can be either a build tag or build number. By default, the run uses the build specified in the task settings (typically latest).

    • memory_mbytes (int, optional) – Memory limit for the run, in megabytes. By default, the run uses a memory limit specified in the task settings.

    • timeout_secs (int, optional) – Optional timeout for the run, in seconds. By default, the run uses timeout specified in the task settings.

    • task_input (dict, optional) – Task input object.

  • Returns

    The created task.

  • Return type

    dict

ScheduleClient

Sub-client for manipulating a single schedule.

ScheduleClient.get()

Return information about the schedule.

https://docs.apify.com/api/v2#/reference/schedules/schedule-object/get-schedule

  • Returns

    The retrieved schedule

  • Return type

    dict, optional

ScheduleClient.update(*, cron_expression=None, is_enabled=None, is_exclusive=None, name=None, actions=None, description=None, timezone=None)

Update the schedule with specified fields.

https://docs.apify.com/api/v2#/reference/schedules/schedule-object/update-schedule

  • Parameters

    • cron_expression (str, optional) – The cron expression used by this schedule

    • is_enabled (bool, optional) – True if the schedule should be enabled

    • is_exclusive (bool, optional) – When set to true, don’t start actor or actor task if it’s still running from the previous schedule.

    • name (str, optional) – The name of the schedule to create.

    • actions (list of dict, optional) – Actors or tasks that should be run on this schedule. See the API documentation for exact structure.

    • description (str, optional) – Description of this schedule

    • timezone (str, optional) – Timezone in which your cron expression runs (TZ database name from https://en.wikipedia.org/wiki/List_of_tz_database_time_zones)

  • Returns

    The updated schedule

  • Return type

    dict

ScheduleClient.delete()

Delete the schedule.

https://docs.apify.com/api/v2#/reference/schedules/schedule-object/delete-schedule

  • Return type

    None

ScheduleClient.get_log()

Return log for the given schedule.

https://docs.apify.com/api/v2#/reference/schedules/schedule-log/get-schedule-log

  • Returns

    Retrieved log of the given schedule

  • Return type

    list, optional

ScheduleCollectionClient

Sub-client for manipulating schedules.

ScheduleCollectionClient.list(*, limit=None, offset=None, desc=None)

List the available schedules.

https://docs.apify.com/api/v2#/reference/schedules/schedules-collection/get-list-of-schedules

  • Parameters

    • limit (int, optional) – How many schedules to retrieve

    • offset (int, optional) – What schedules to include as first when retrieving the list

    • desc (bool, optional) – Whether to sort the schedules in descending order based on their modification date

  • Returns

    The list of available schedules matching the specified filters.

  • Return type

    ListPage

ScheduleCollectionClient.create(*, cron_expression, is_enabled, is_exclusive, name=None, actions=[], description=None, timezone=None)

Create a new schedule.

https://docs.apify.com/api/v2#/reference/schedules/schedules-collection/create-schedule

  • Parameters

    • cron_expression (str) – The cron expression used by this schedule

    • is_enabled (bool) – True if the schedule should be enabled

    • is_exclusive (bool) – When set to true, don’t start actor or actor task if it’s still running from the previous schedule.

    • name (Optional[str]) – The name of the schedule to create.

    • actions (List[Dict]) – Actors or tasks that should be run on this schedule. See the API documentation for exact structure.

    • description (Optional[str]) – Description of this schedule

    • timezone (Optional[str]) – Timezone in which your cron expression runs (TZ database name from https://en.wikipedia.org/wiki/List_of_tz_database_time_zones)

  • Returns

    The created schedule.

  • Return type

    dict

UserClient

Sub-client for querying user data.

UserClient.get()

Return information about user account.

You receive all or only public info based on your token permissions.

https://docs.apify.com/api/v2#/reference/users

  • Returns

    The retrieved user data, or None if the user does not exist.

  • Return type

    dict, optional

ListPage

A single page of items returned from a list() method.

Instance attributes

Name Type Description
items list List of returned objects on this page
offset int The limit on the number of returned objects offset specified in the API call
limit int The offset of the first object specified in the API call
count int Count of the returned objects on this page
total int Total number of objects matching the API call criteria
desc bool Whether the listing is descending or not

ActorJobStatus

Available statuses for actor jobs (runs or builds).

ActorJobStatus.READY

Actor job initialized but not started yet

ActorJobStatus.RUNNING

Actor job in progress

ActorJobStatus.SUCCEEDED

Actor job finished successfully

ActorJobStatus.FAILED

Actor job or build failed

ActorJobStatus.TIMING_OUT

Actor job currently timing out

ActorJobStatus.TIMED_OUT

Actor job timed out

ActorJobStatus.ABORTING

Actor job currently being aborted by user

ActorJobStatus.ABORTED

Actor job aborted by user

ActorSourceType

Available source types for actors.

ActorSourceType.SOURCE_FILES

Actor source code is comprised of multiple files

ActorSourceType.GIT_REPO

Actor source code is cloned from a Git repository

ActorSourceType.TARBALL

Actor source code is downloaded using a tarball or Zip file

ActorSourceType.GITHUB_GIST

Actor source code is taken from a GitHub Gist

WebhookEventType

Events that can trigger a webhook.

WebhookEventType.ACTOR_RUN_CREATED

The actor run was created

WebhookEventType.ACTOR_RUN_SUCCEEDED

The actor run has succeeded

WebhookEventType.ACTOR_RUN_FAILED

The actor run has failed

WebhookEventType.ACTOR_RUN_TIMED_OUT

The actor run has timed out

WebhookEventType.ACTOR_RUN_ABORTED

The actor run was aborted

WebhookEventType.ACTOR_RUN_RESURRECTED

The actor run was resurrected