--- title: "firecrawl-mcp-server vs langextract" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-mcp-server-vs-google-langextract" tools: ["firecrawl-firecrawl-mcp-server", "google-langextract"] --- # firecrawl-mcp-server vs langextract *GraphCanon updated Sep 20, 2026* ## Verdict Pick firecrawl-mcp-server if firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License; pick langextract if langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization. [firecrawl-mcp-server](https://firecrawl.dev) reports 7.5k GitHub stars, 891 forks, and 140 open issues, last pushed Sep 20, 2026. [langextract](https://pypi.org/project/langextract/) has 39k stars, 2.7k forks, and 125 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [firecrawl-mcp-server's repository](https://github.com/firecrawl/firecrawl-mcp-server) and [langextract's repository](https://github.com/google/langextract). | | [firecrawl-mcp-server](/tools/firecrawl-firecrawl-mcp-server.md) | [langextract](/tools/google-langextract.md) | | --- | --- | --- | | Tagline | Adding web scraping and search capabilities to LLM clients like Cursor and Claude | Python library for extracting structured information from unstructured text using LLMs | | Stars | 7,489 | 38,614 | | Forks | 891 | 2,704 | | Open issues | 140 | 125 | | Language | TypeScript | Python | | Adopt for | Firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License. | Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization. | | Persona | - | - | | Runtime | - | - | | License | MIT | Langextract is available under the Apache-2.0 license, allowing for broad use in both commercial and non-commercial projects with the requirement to include the license text and copyright notice. | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [firecrawl-mcp-server](/tools/firecrawl-firecrawl-mcp-server.md) | [langextract](/tools/google-langextract.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 140 | 125 | | Stars delta | +442 (30d) | +214 (30d) | | Open issues delta | -18 (30d) | +3 (30d) | | Full report | [trust report](/tools/firecrawl-firecrawl-mcp-server/trust.md) | [trust report](/tools/google-langextract/trust.md) | ## Decision facts: firecrawl-mcp-server - **Adopt for:** Firecrawl MCP Server is designed to integrate powerful web scraping and content extraction functionalities for LLM clients such as Cursor and Claude under the MIT License. ## Decision facts: langextract - **Pricing:** freemium - The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model. - **Requirements:** Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation. - **Adopt for:** Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization. - **License detail:** Langextract is available under the Apache-2.0 license, allowing for broad use in both commercial and non-commercial projects with the requirement to include the license text and copyright notice. ## Choose when ### Choose firecrawl-mcp-server if… - firecrawl-mcp-server is primarily TypeScript; langextract is Python. - License: firecrawl-mcp-server is MIT, langextract is Apache-2.0. - Tags unique to firecrawl-mcp-server: batch-processing, content-extraction, data-collection, javascript-rendering. - When you need JavaScript-based rendering capabilities for more accurate content extraction from the web ### Choose langextract if… - langextract is primarily Python; firecrawl-mcp-server is TypeScript. - License: langextract is Apache-2.0, firecrawl-mcp-server is MIT. - Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model.. - Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation.. - Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash. - When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities. ## When NOT to use firecrawl-mcp-server - If your project requires a server-side solution in languages other than JavaScript, as Firecrawl MCP Server is written in JavaScript only - When you are not looking to integrate or extend functionalities for Cursor and Claude LLM clients ## When NOT to use langextract - If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality. - When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services. - If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases. ## Common questions ### What is the difference between firecrawl-mcp-server and langextract? firecrawl-mcp-server: Adding web scraping and search capabilities to LLM clients like Cursor and Claude. langextract: Python library for extracting structured information from unstructured text using LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose firecrawl-mcp-server over langextract? Choose firecrawl-mcp-server over langextract when firecrawl-mcp-server is primarily TypeScript; langextract is Python; License: firecrawl-mcp-server is MIT, langextract is Apache-2.0; Tags unique to firecrawl-mcp-server: batch-processing, content-extraction, data-collection, javascript-rendering; When you need JavaScript-based rendering capabilities for more accurate content extraction from the web. ### When should I choose langextract over firecrawl-mcp-server? Choose langextract over firecrawl-mcp-server when langextract is primarily Python; firecrawl-mcp-server is TypeScript; License: langextract is Apache-2.0, firecrawl-mcp-server is MIT; Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model.; Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation.; Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash; When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities. ### When should I avoid firecrawl-mcp-server? If your project requires a server-side solution in languages other than JavaScript, as Firecrawl MCP Server is written in JavaScript only When you are not looking to integrate or extend functionalities for Cursor and Claude LLM clients ### When should I avoid langextract? If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality. When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services. If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases. ### Is firecrawl-mcp-server or langextract more popular on GitHub? langextract has more GitHub stars (38,614 vs 7,489). Stars measure visibility, not whether either tool fits your constraints. ### Are firecrawl-mcp-server and langextract open source? Yes - both are open-source projects on GitHub (firecrawl-mcp-server: MIT, langextract: Apache-2.0). ### Where can I find alternatives to firecrawl-mcp-server or langextract? GraphCanon lists graph-backed alternatives at [firecrawl-mcp-server alternatives](/tools/firecrawl-firecrawl-mcp-server/alternatives) and [langextract alternatives](/tools/google-langextract/alternatives) ([firecrawl-mcp-server markdown twin](/tools/firecrawl-firecrawl-mcp-server/alternatives.md), [langextract markdown twin](/tools/google-langextract/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/firecrawl-firecrawl-mcp-server-vs-google-langextract.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, firecrawl-mcp-server or langextract? firecrawl-mcp-server: Very active. langextract: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for firecrawl-mcp-server and langextract? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl-mcp-server trust report](/tools/firecrawl-firecrawl-mcp-server/trust); [langextract trust report](/tools/google-langextract/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl-mcp-server`](/api/graphcanon/graph?tool=firecrawl-firecrawl-mcp-server) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_