Exa vs Firecrawl
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
Exa
Web search API built for AI agents, with structured outputs and token-efficient highlights.Firecrawl
Web scraping and crawling API that returns LLM-ready markdown, JSON, or structured data from any URL.Pricing
Exa
FreemiumΒ· Free Tier: Free Β· Search: $7/1k requests Β· Agent: $0.012β$1.00/run Β· Contents: $1/1k pages per content type Β· Deep Search: $12β15/1k requestsFirecrawl
FreemiumΒ· Free Plan: $0 Β· Hobby: $16 Β· Standard: $83 Β· Growth: $333 Β· Scale: $599/monthlyLowest paid tier
Exa
$0.012β$1.00/run Β· Agent
captured 2026-08-08
Firecrawl
$16 Β· Hobby
captured 2026-08-10
Free trial
Exa
YesFirecrawl
YesAPI
Exa
YesFirecrawl
YesPlatforms
Exa
api
Firecrawl
apicli
Open source
Exa
Not listedFirecrawl
Yes Β· AGPL-3.0GitHub stars
Exa
βFirecrawl
186,626
checked 2026-09-29
Last GitHub push
Exa
βFirecrawl
2026-09-29First commit
Exa
βFirecrawl
2024-04Model used
Exa
Proprietary neural + keyword searchFirecrawl
Claude, Cursor, Windsurf, OpenAI, GeminiBest for
Exa
Pick Exa if you are wiring web retrieval into an AI agent and want a single API that returns clean, schema-shaped, token-efficient results.Firecrawl
Pick Firecrawl if you are building a RAG pipeline or AI agent and want one API call to turn any URL into clean, token-efficient markdown.Not for
Exa
Skip it if you need a self-hosted or open-source search stack, or your retrieval is purely over internal documents.Firecrawl
Skip it if you only need to scrape a handful of static pages and a quick fetch+cheerio script would do, or if you have hard data-egress constraints.Editorial score
Exa
8.0 / 10Firecrawl
8.0 / 10Use cases
Exa
agent-web-searchrag-retrievalcompany-researchpeople-searchcode-searchdeep-research
Firecrawl
web-scrapingrag-ingestionagent-browsingsite-crawlingpdf-parsing
Pros
Exa
- Purpose-built for LLM/agent use, not retrofitted consumer search
- Highlights mode dramatically cuts tokens sent to the model
- Structured JSON outputs against custom schemas
- Vertical indexes for companies, people, and code
- SOC 2 Type II with zero-retention enterprise option
Firecrawl
- Returns clean LLM-ready markdown/JSON without custom scraper code
- Handles JS rendering, anti-bot, and PDFs out of the box
- Open source with SDKs in six languages plus an MCP server
- Generous 1,000-credit free tier and predictable per-page pricing
Cons
Exa
- Proprietary, closed source
- Pricing not transparent on homepage beyond the free playground
- Coverage and freshness depend on Exa's crawl, not yours
Firecrawl
- Credit model gets expensive on million-URL crawls vs DIY scrapers
- Self-hosting is non-trivial compared with the managed API
- Browser interact actions burn credits quickly on long sessions
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick Exa if
- β Purpose-built for LLM/agent use, not retrofitted consumer search
- β Highlights mode dramatically cuts tokens sent to the model
- β Structured JSON outputs against custom schemas
- β Vertical indexes for companies, people, and code
Pick Firecrawl if
- β Returns clean LLM-ready markdown/JSON without custom scraper code
- β Handles JS rendering, anti-bot, and PDFs out of the box
- β Open source with SDKs in six languages plus an MCP server
- β Generous 1,000-credit free tier and predictable per-page pricing