Firecrawl vs RasaGPT

Side-by-side comparison of two AI agent tools

Short answer

  • RasaGPT has had no commit in 41 months; Firecrawl is actively maintained (578 commits in the last 90 days).
  • Firecrawl is growing faster: +14,055 GitHub stars in the last 30 days vs +0 for RasaGPT.
  • Pick Firecrawl for: the Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data. Pick RasaGPT for: headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection.

From GitHub data refreshed daily.

🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

RasaGPTopen-source

Headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection

Metrics

FirecrawlRasaGPT
Stars187.8k2.5k
Star velocity /mo14.1k0.47619047619047616
Commits (90d)5780
Releases (6m)30
Overall score0.84546784011942640.15359045579284894

Pros

  • +Industry-leading reliability with >80% success rate on complex websites including JavaScript-heavy and dynamic content
  • +AI-optimized output formats with clean markdown and structured data specifically designed for LLM consumption
  • +Comprehensive feature set including media parsing, interactive actions, batch processing, and authentication support
  • +开箱即用的完整解决方案,解决了 Rasa 与 LLM 集成的所有技术痛点,包括库冲突、元数据传递等问题
  • +提供完整的技术栈集成,包括 FastAPI 后端、文档上传训练管道、Docker 支持和多平台部署能力
  • +实现了自定义 pgvector 集成和多租户架构,比使用 Langchain 原生方案更加灵活可控

Cons

  • -Repository is still in development and not fully ready for self-hosted deployment
  • -API-based service likely requires subscription pricing for production use
  • -As a relatively new tool, long-term stability and support ecosystem may be uncertain
  • -作者明确表示这不是生产级代码,存在 prompt injection 和多种安全漏洞风险
  • -作为概念验证项目,缺乏企业级的安全性、稳定性和性能优化
  • -学习成本较高,需要同时掌握 Rasa、Langchain 和 FastAPI 等多个框架

Use Cases

  • •Building AI agents that need real-time web context and competitor intelligence
  • •Creating training datasets for LLMs by scraping and cleaning large volumes of web content
  • •Automating content monitoring and change detection for business intelligence applications
  • •企业内部知识库问答系统,需要结合传统规则对话和 LLM 生成能力的客服场景
  • •多渠道聊天机器人部署,特别是需要同时支持 Telegram、Slack 等平台的应用
  • •需要文档索引和检索功能的智能助手,如技术文档查询、产品说明书问答等场景

FAQ

Which is more popular, Firecrawl or RasaGPT?
Firecrawl has more GitHub stars (187,756 vs 2,464).
Which is more actively developed, Firecrawl or RasaGPT?
Firecrawl had more commits in the last 90 days (578 vs 0).
Should I use Firecrawl or RasaGPT?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.
Firecrawl vs RasaGPT (2026): GitHub Stats, Features & Which to Choose