Introduction

The Apify client for Python is the official library to access the Apify REST API from your Python applications. It provides useful features like automatic retries and convenience functions that improve the experience of using the Apify API. All requests and responses (including errors) are encoded in JSON format with UTF-8 encoding. The client provides both synchronous and asynchronous interfaces.

Async client

from apify_client import ApifyClientAsync

# You can find your API token at https://console.apify.com/settings/integrations.
TOKEN = 'MY-APIFY-TOKEN'


async def main() -> None:
    apify_client = ApifyClientAsync(TOKEN)

    # Start an Actor and wait for it to finish.
    actor_client = apify_client.actor('john-doe/my-cool-actor')
    call_result = await actor_client.call()

    if call_result is None:
        print('Actor run failed.')
        return

    # Fetch results from the Actor run's default dataset.
    dataset_client = apify_client.dataset(call_result['defaultDatasetId'])
    list_items_result = await dataset_client.list_items()
    print(f'Dataset: {list_items_result}')

Sync client

from apify_client import ApifyClient

# You can find your API token at https://console.apify.com/settings/integrations.
TOKEN = 'MY-APIFY-TOKEN'


def main() -> None:
    apify_client = ApifyClient(TOKEN)

    # Start an Actor and wait for it to finish.
    actor_client = apify_client.actor('john-doe/my-cool-actor')
    call_result = actor_client.call()

    if call_result is None:
        print('Actor run failed.')
        return

    # Fetch results from the Actor run's default dataset.
    dataset_client = apify_client.dataset(call_result['defaultDatasetId'])
    list_items_result = dataset_client.list_items()
    print(f'Dataset: {list_items_result}')