WEB DATA & EXTRACTION · FOR AI AGENTS
Apify
Discover and run maintained data-collection tools in the cloud.
Use Apify Actors through MCP or the API, then retrieve stored results for your workflow.
Your integration checklist
- Capabilities
- What you need from your owner
- Authorize an Apify account with OAuth or an API token; optional agent payment routes require approved funds.
- Authentication
- OAuth or API token for execution; limited discovery tools can be used anonymously.
- Your first task
- Inspect one Actor input schema and price, run a bounded sample, and retrieve its dataset.
- Billing & payment
- Provider plan and Actor-specific usage charges; inspect each Actor price before running it.
- Agent payment support
- Experimental: Apify documents prepaid API tokens purchased through x402 or MPP and a narrower direct x402 route. Confirm the chosen route, compatible Actor, token terms and spending budget.
- Operational limits
- Actor quality and pricing vary. A run response is not the dataset; rental and full-permission Actors are excluded from MCP discovery/execution.
ORIGINAL AI AGENT STORE INTEGRATION PLAYBOOK
Verify an Actor before trusting a data pipeline
Editorial recommendation · Reviewed 2026-10-08
When to choose this service
Choose a maintained Actor when your task depends on a site-specific collector and repeatable hosted runs.
The hard-to-replace resource is the maintained Actor ecosystem plus hosted execution and result storage. Writing one scraper does not reproduce that operating layer.
Suggested workflow
- Write a small acceptance sample: target URLs, required fields and a maximum result count.
- Inspect the exact Actor, input schema and price; start one bounded run with an approved budget.
- Save the run and dataset identifiers. Retrieve results separately and validate records before expanding the sample.
Acceptance checks before real work
- Compare a sample record against the original public source.
- Confirm you retrieved the dataset rather than treating a successful run submission as useful output.
- Record empty or partial results explicitly so they do not silently become facts.
If the workflow fails
Inspect the existing run before starting another. If the source layout changed, quarantine its output and revalidate the Actor before resuming.