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Apify

Access Apify tools for web scraping, data extraction, and automation.

Actions11

Actor Task → Run Task and Get Dataset

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Overview

This node runs a specified Apify Actor Task and retrieves the resulting dataset. It is useful for automating web scraping, data extraction, or any task configured in Apify that produces a dataset. For example, you can trigger a web scraping task and immediately get the scraped data for further processing in your workflow.

Use Case Examples

  1. Run a web scraping Actor Task by specifying its ID or URL, optionally customize the input JSON body, set memory and timeout limits, and retrieve the output dataset for analysis or storage.
  2. Trigger an automation task on Apify and fetch the results dataset to use in subsequent workflow steps.

Properties

Name Meaning
Actor Task The ID or tilde-separated username and task name of the Apify Actor Task to run. It can be selected from a list, provided as a URL, or entered as an ID string.
Use Custom Body Whether to use a custom JSON input body for the task run.
Input (JSON) Custom JSON input to send to the Actor Task if 'Use Custom Body' is enabled.
Timeout Optional timeout for the task run in seconds. If not set, the task's default timeout is used.
Memory Memory limit for the task run in megabytes. Options range from 128 MB to 32 GB, defaulting to 1024 MB.
Build Specifies the Actor build to run, either by build tag or build number. Defaults to the build specified in the task settings, typically 'latest'.
Authentication Choose the authentication method to use for the Apify API: either API Key or OAuth2.

Output

JSON

  • runId - The unique identifier of the task run.
  • dataset - The dataset object containing the results produced by the task run.

Dependencies

  • Apify API key or OAuth2 credentials for authentication

Troubleshooting

  • Ensure the Actor Task ID or URL is valid and accessible with the provided credentials.
  • If using a custom input body, verify the JSON format is correct to avoid errors.
  • Timeout errors may occur if the task takes longer than the specified timeout; increase the timeout or check the task's performance.
  • Memory limit errors can happen if the task requires more memory than allocated; increase the memory setting accordingly.

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