113 extractors · 1,383 fields documented
Data out of the web, field by field.
113 production extractors that turn real sites into structured records. Every one publishes its output schema — each field with a type, a description and a real example — so you can read exactly what comes back before you run anything.
The register
Ranked by runs. Each entry shows the fields it actually returns.
What it covers
12 categories, every extractor tagged for fast discovery.
- 75Developer toolsAPIs, datasets and development infrastructure.
- 57BusinessCompetitor intel, market research and registries.
- 26AutomationHeadless workflows, pipelines and API replacements.
- 17AIModels, training data and RAG inputs.
- 14SEO toolsSitemaps, structured data, broken links and technical SEO.
- 8Lead generationContact, registry and prospect data for sales pipelines.
- 8E-commerceProduct catalogues, prices and merchant intelligence.
- 8IntegrationsMove a dataset into a tool you already use.
- 6MarketingAd libraries, campaign data and brand monitoring.
- 6NewsNews aggregation, RSS and content monitoring.
- 4JobsJob boards across geographies and verticals.
- 2MCP serversModel Context Protocol endpoints for LLM clients.
Three steps, no setup
Every extractor is hosted. There is nothing to install and no server to keep alive.
- 1
Read the schema
Open an extractor and check the fields it returns, the types, and an example of each. That page is the contract.
- 2
Run it on Apify
Give it a URL, a keyword or an ID. Most inputs have sensible defaults. You are billed per result returned, not per attempt.
- 3
Take the data
Export JSON, CSV or Excel, or pull the dataset through the Apify API into your own pipeline.