Firecrawl vs Google Opal
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 | Google Opal |
|---|---|---|
| Our score | 84 | 78 |
| 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. | Public/preview positioning with pricing not clearly separated as a standalone commercial plan. |
| 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 | Ops and business teams prototyping AI workflows quickly, Builders who want something lighter than full code, Teams exploring shareable AI task flows |
| Platforms | api | web |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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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
- Pricing
- Public/preview positioning with pricing not clearly separated as a standalone commercial plan.
- Free plan
- Yes
- Best for
- Ops and business teams prototyping AI workflows quickly, Builders who want something lighter than full code, Teams exploring shareable AI task flows
- Platforms
- 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
78Choose Google Opal if:
- You are Ops and business teams prototyping AI workflows quickly
- You are Builders who want something lighter than full code
- You are Teams exploring shareable AI task flows
- You want to start free
FAQ
- What is the difference between Firecrawl and Google Opal?
- 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. Google Opal is google's no-code or low-code ai workflow builder for chaining prompts, models, and tools into shareable mini-app style flows.
- Which is cheaper, Firecrawl or Google Opal?
- 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.. Google Opal: Public/preview positioning with pricing not clearly separated as a standalone commercial plan.. Firecrawl has a free plan. Google Opal 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 Google Opal best for?
- Google Opal is best for Ops and business teams prototyping AI workflows quickly, Builders who want something lighter than full code, Teams exploring shareable AI task flows.