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.
Firecrawlfree
🔥 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
| Firecrawl | RasaGPT | |
|---|---|---|
| Stars | 187.8k | 2.5k |
| Star velocity /mo | 14.1k | 0.47619047619047616 |
| Commits (90d) | 578 | 0 |
| Releases (6m) | 3 | 0 |
| Overall score | 0.8454678401194264 | 0.15359045579284894 |
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.