Apify Automation skill
Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.
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SKILL.md:1The name should be 1 to 64 lowercase letters, digits or hyphens.
Apify Automation
Install the Apify Automation skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/ComposioHQ/awesome-claude-skills.git /tmp/awesome-claude-skills mkdir -p ~/.claude/skills cp -r /tmp/awesome-claude-skills/composio-skills/apify-automation ~/.claude/skills/apify-automation
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Apify Automation
Run Apify web scraping Actors and manage datasets directly from Claude Code. Execute crawlers synchronously or asynchronously, retrieve structured data, create reusable tasks, and inspect run logs without leaving your terminal.
Toolkit docs: composio.dev/toolkits/apify
Setup
- Add the Composio MCP server to your configuration:
https://rube.app/mcp- Connect your Apify account when prompted. The agent will provide an authentication link.
- Browse available Actors at apify.com/store. Each Actor has its own unique input schema -- always check the Actor's documentation before running.
Core Workflows
1. Run an Actor Synchronously and Get Results
Execute an Actor and immediately retrieve its dataset items in a single call. Best for quick scraping jobs.
Tool: APIFYRUNACTORSYNCGETDATASETITEMS
Key parameters:
- actorId (required) -- Actor ID in format username/actor-name (e.g., compass/crawler-google-places)
- input -- JSON input object matching the Actor's schema. Each Actor has unique field names -- check apify.com/store for the exact schema.
- limit -- max items to return
- offset -- skip items for pagination
- format -- json (default), csv, jsonl, html, xlsx, xml
- timeout -- run timeout in seconds
- waitForFinish -- max wait time (0-300 seconds)
- fields -- comma-separated list of fields to include
- omit -- comma-separated list of fields to exclude
Example prompt: "Run the Google Places scraper for 'restaurants in New York' and return the first 50 results"
2. Run an Actor Asynchronously
Trigger an Actor run without waiting for completion. Use for long-running scraping jobs.
Tool: APIFYRUNACTOR
Key parameters:
- actorId (required) -- Actor slug or ID
- body -- JSON input object for the Actor
- memory -- memory limit in MB (must be power of 2, minimum 128)
- timeout -- run timeout in seconds
- maxItems -- cap on returned items
- build -- specific build tag (e.g., latest, beta)
Follow up with APIFYGETDATASET_ITEMS to retrieve results using the run's datasetId.
Example prompt: "Start the web scraper Actor for example.com asynchronously with 1024MB memory"
3. Retrieve Dataset Items
Fetch data from a specific dataset with pagination, field selection, and filtering.
Tool: APIFYGETDATASET_ITEMS
Key parameters:
- datasetId (required) -- dataset identifier
- limit (default/max 1000) -- items per page
- offset (default 0) -- pagination offset
- format -- json (recommended), csv, xlsx
- fields -- include only specific fields
- omit -- exclude specific fields
- clean -- remove Apify-specific metadata
- desc -- reverse order (newest first)
Example prompt: "Get the first 500 items from dataset myDatasetId in JSON format"
4. Inspect Actor Details
View Actor metadata, input schema, and configuration before running it.
Tool: APIFYGETACTOR
Key parameters:
- actorId (required) -- Actor ID in format username/actor-name or hex ID
Example prompt: "Show me the details and input schema for the apify/web-scraper Actor"
5. Create Reusable Tasks
Configure reusable Actor tasks with preset inputs for recurring scraping jobs.
Tool: APIFYCREATETASK
Configure a task once, then trigger it repeatedly with consistent input parameters. Useful for scheduled or recurring data collection workflows.
Example prompt: "Create an Apify task for the Google Search scraper with default query 'AI startups' and US location"
6. Manage Runs and Datasets
List Actor runs, browse datasets, and inspect run details for monitoring and debugging.
Tools: APIFYGETLISTOFRUNS, APIFYDATASETSGET, APIFYDATASETGET, APIFYGETLOG
For listing runs:
- Filter by Actor and optionally by status
- Get datasetId from run details for data retrieval
For dataset management:
- APIFYDATASETSGET -- list all your datasets with pagination
- APIFYDATASETGET -- get metadata for a specific dataset
For debugging:
- APIFYGETLOG -- retrieve execution logs for a run or build
Example prompt: "List the last 10 runs for the web scraper Actor and show logs for the most recent one"
Known Pitfalls
- Actor input schemas vary wildly: Every Actor has its own unique input fields. Generic field names like queries or search_terms will be rejected. Always check the Actor's page on apify.com/store for exact field names (e.g., searchStringsArray for Google Maps, startUrls for web scrapers).
- URL format requirements: Always include the full protocol (https:// or http://) in URLs. Many Actors require URLs as objects with a url property: {"startUrls": [{"url": "https://example.com"}]}.
- Dataset pagination cap: APIFYGETDATASET_ITEMS has a max limit of 1000 per call. For large datasets, loop with offset to collect all items.
- Enum values are lowercase: Most Actors expect lowercase enum values (e.g., relevance not RELEVANCE, all not ALL).
- Sync timeout at 5 minutes: APIFYRUNACTORSYNCGETDATASETITEMS has a maximum waitForFinish of 300 seconds. For longer runs, use APIFYRUNACTOR (async) and poll with APIFYGETDATASET_ITEMS.
- Data volume costs: Large datasets can be expensive to fetch. Prefer moderate limits and incremental processing to avoid timeouts or memory pressure.
- JSON format recommended: While CSV/XLSX formats are available, JSON is the most reliable for automated processing. Avoid CSV/XLSX for downstream automation.
Quick Reference
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