--- title: "firecrawl vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-vs-labring-fastgpt" tools: ["firecrawl-firecrawl", "labring-fastgpt"] --- # firecrawl vs FastGPT *GraphCanon updated Aug 16, 2026* ## Verdict Pick firecrawl if fireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents; pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable. [firecrawl](https://firecrawl.dev) reports 168k GitHub stars, 9.4k forks, and 508 open issues, last pushed Aug 15, 2026. [FastGPT](https://fastgpt.io) has 29k stars, 7.3k forks, and 165 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [firecrawl's repository](https://github.com/firecrawl/firecrawl) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [firecrawl](/tools/firecrawl-firecrawl.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | The API to search, scrape, and interact with the web at scale. 🔥 | A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems | | Stars | 167,794 | 29,366 | | Forks | 9,398 | 7,264 | | Open issues | 508 | 165 | | Language | TypeScript | TypeScript | | Adopt for | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. | Other | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [firecrawl](/tools/firecrawl-firecrawl.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Open issues (now) | 508 | 165 | | Stars delta | +16k (30d) | +360 (30d) | | Open issues delta | +106 (30d) | +7 (30d) | | Full report | [trust report](/tools/firecrawl-firecrawl/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: firecrawl - **Hosting:** self hosted - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. - **License detail:** AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable ## Choose when ### Choose firecrawl if… - License: firecrawl is AGPL-3.0, FastGPT is Other. - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to firecrawl: ai-agents, crawler, scraping, search. - When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### Choose FastGPT if… - License: FastGPT is Other, firecrawl is AGPL-3.0. - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers LLM Frameworks. - You prioritize ease of setup and configuration for advanced AI applications. ## When NOT to use firecrawl - For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. - If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ## When NOT to use FastGPT - If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. - When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. - Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ## Common questions ### What is the difference between firecrawl and FastGPT? firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose firecrawl over FastGPT? Choose firecrawl over FastGPT when License: firecrawl is AGPL-3.0, FastGPT is Other; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to firecrawl: ai-agents, crawler, scraping, search; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### When should I choose FastGPT over firecrawl? Choose FastGPT over firecrawl when License: FastGPT is Other, firecrawl is AGPL-3.0; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications. ### When should I avoid firecrawl? For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ### When should I avoid FastGPT? If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models. ### Is firecrawl or FastGPT more popular on GitHub? firecrawl has more GitHub stars (167,794 vs 29,366). Stars measure visibility, not whether either tool fits your constraints. ### Are firecrawl and FastGPT open source? Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, FastGPT: Other). ### Where can I find alternatives to firecrawl or FastGPT? GraphCanon lists graph-backed alternatives at [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([firecrawl markdown twin](/tools/firecrawl-firecrawl/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, firecrawl or FastGPT? firecrawl: Very active. FastGPT: 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 and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl trust report](/tools/firecrawl-firecrawl/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl`](/api/graphcanon/graph?tool=firecrawl-firecrawl) - 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/_