Pass input to an Actor

Copy for LLM

You can pass input data directly to the call method to configure and run an Actor in a single step.

The following example shows how to pass input to the apify/instagram-hashtag-scraper Actor and wait for it to finish.

Async client

import asyncio
from datetime import timedelta

from apify_client import ApifyClientAsync

TOKEN = 'MY-APIFY-TOKEN'


async def main() -> None:
    # Client initialization with the API token
    apify_client = ApifyClientAsync(token=TOKEN)

    # Get the Actor client
    actor_client = apify_client.actor('apify/instagram-hashtag-scraper')

    input_data = {'hashtags': ['rainbow'], 'resultsLimit': 20}

    # Run the Actor and wait for it to finish up to 60 seconds.
    # Input is not persisted for next runs.
    run_result = await actor_client.call(
        run_input=input_data, timeout=timedelta(seconds=60)
    )


if __name__ == '__main__':
    asyncio.run(main())

Sync client

from datetime import timedelta

from apify_client import ApifyClient

TOKEN = 'MY-APIFY-TOKEN'


def main() -> None:
    # Client initialization with the API token
    apify_client = ApifyClient(token=TOKEN)

    # Get the Actor client
    actor_client = apify_client.actor('apify/instagram-hashtag-scraper')

    input_data = {'hashtags': ['rainbow'], 'resultsLimit': 20}

    # Run the Actor and wait for it to finish up to 60 seconds.
    # Input is not persisted for next runs.
    run_result = actor_client.call(run_input=input_data, timeout=timedelta(seconds=60))


if __name__ == '__main__':
    main()