Firecrawl vs Mastra
A side-by-side comparison to help you choose the right tool.
84
Firecrawl scores higher overall (84/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Firecrawl | Mastra |
|---|---|---|
| Our score | 84 | 80 |
| Pricing | Free tier with 500 credits/month. Hobby at $16/month (3,000 credits). Standard at $83/month (100,000 credits). Growth at $333/month (500,000 credits). Enterprise custom. | Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure. |
| Free plan | Yes | Yes |
| Best for | developers building AI agents that need web data, RAG pipeline builders who need clean web content, data teams extracting structured information at scale, automation engineers building web monitoring tools, startups prototyping AI products that consume web data | TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one |
| Platforms | api | api, web |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Get started | Visit site |
- Pricing
- Free tier with 500 credits/month. Hobby at $16/month (3,000 credits). Standard at $83/month (100,000 credits). Growth at $333/month (500,000 credits). Enterprise custom.
- Free plan
- Yes
- Best for
- developers building AI agents that need web data, RAG pipeline builders who need clean web content, data teams extracting structured information at scale, automation engineers building web monitoring tools, startups prototyping AI products that consume web data
- Platforms
- api
- API
- Yes
- Languages
- en
Mastra
80
- Pricing
- Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure.
- Free plan
- Yes
- Best for
- TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one
- Platforms
- api, web
- API
- Yes
- Languages
- en
84Choose Firecrawl if:
- You are developers building AI agents that need web data
- You are RAG pipeline builders who need clean web content
- You are data teams extracting structured information at scale
- You want to start free
80Choose Mastra if:
- You are TypeScript and Node.js developers who want a structured, production-ready agent framework
- You are Teams building internal AI copilots or customer-facing assistants with full code control
- You are Startups embedding AI capabilities into products that need evals and tracing from day one
- You want to start free
FAQ
- What is the difference between Firecrawl and Mastra?
- Firecrawl is a developer-first web scraping and crawling api that converts any webpage into clean, llm-ready markdown or structured data. built specifically for feeding web content into ai agents, rag pipelines, and data extraction workflows. Mastra is open-source typescript framework for building production-ready ai agents and multi-step workflows, with a local studio ui, typed zod schemas, built-in evals, and support for suspend/resume human-in-the-loop flows.
- Which is cheaper, Firecrawl or Mastra?
- Firecrawl: Free tier with 500 credits/month. Hobby at $16/month (3,000 credits). Standard at $83/month (100,000 credits). Growth at $333/month (500,000 credits). Enterprise custom.. Mastra: Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure.. Firecrawl has a free plan. Mastra has a free plan.
- Who is Firecrawl best for?
- Firecrawl is best for developers building AI agents that need web data, RAG pipeline builders who need clean web content, data teams extracting structured information at scale, automation engineers building web monitoring tools, startups prototyping AI products that consume web data.
- Who is Mastra best for?
- Mastra is best for TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one.