Pricing

Pay per usage

LangExtract - Structured Data Extractor

Extract structured data from unstructured text using Google's LangExtract library & LLMs. Get entities, relationships & attributes in clean JSON with source grounding. Supports Gemini, OpenAI, Anthropic, Groq & custom endpoints. Perfect for parsing resumes, contracts, reports & documents.

Pricing

Pay per usage

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Developer

Vivian Ferreira

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Monthly active users

25 days ago

Last modified

Configure MCP server with LangExtract AI Data Extractor - Entity Extraction with LLMs

Get a ready-to-use configuration for your MCP client with the LangExtract AI Data Extractor - Entity Extraction with LLMs Actor preconfigured at mcp.apify.com?tools=vivianferreira/langextract-structured-data-extractor .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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