Introducing Parallel Agents - Run multiple /agent queries simultaneously. Read more →
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2 Months Free — Annually
Firecrawl vs. Tavily
Firecrawl handles full web extraction - search, crawl, format.
Tavily is better suited to summary-first retrieval.
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Used by over 500,000 developers
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Trusted by 80,000+
companies of all sizes
companies of all sizes
Choose Firecrawl
Choose Firecrawl when you need one API to search, crawl, and extract. It converts complex pages to clean markdown or structured JSON for RAG, and it is one of the fastest web extraction APIs for production pipelines.
Choose Tavily
Choose Tavily when you need real-time web search with AI-ranked results or summary-first retrieval. Less suited for deep site-wide crawling or full-page extraction at scale.
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Why Firecrawl
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Half a million developers
love Firecrawl
Power your AI apps with clean web data from any website.
Search, crawl, and extract web data in one platform with /search, /map, /crawl, /scrape, and /agent
Learn more
Firecrawl vs. Tavily: Key Differences
| Feature | Firecrawl | Tavily |
|---|---|---|
| Output formats | Markdown, JSON, HTML, screenshots, links, summary, branding | Markdown, text, raw content with relevance scores |
| Search capabilities | Search API with optional scraping, result types (web, news, images), and category filters | Real-time multi-source search with ranking |
| Free tier | 500 credits | 1,000 credits/month |
| Entry pricing | $16/month (3,000 credits) | $30/month (4,000 credits) |
| Mid-tier pricing | $83/month (100,000 credits) | $0.008/credit PAYG (~$800 for 100k) |
| Best for | Search, site crawling, structured data extraction, RAG pipelines | AI search, research agents, multi-source retrieval |
Last updated: Jan 22, 2026 • See full matrix ↓
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Use cases and benchmarks
RAG pipelines
RAG & AI agents. Firecrawl can search, crawl, and scrape sources, then convert pages to clean markdown or structured JSON for RAG. It is built for reliable ingestion with preserved structure and links.
Dynamic content
JavaScript-heavy sites. Firecrawl uses pre-warmed headless Chromium to render SPAs and dynamic content, so you can extract complete pages even when content loads client-side.
Data extraction
Structured extraction. Firecrawl supports JSON Schema and natural language prompting for extraction, and can search then scrape results into structured data in one workflow. It also extracts content from PDFs on the web.
Scale & reliability
Scale and performance. Firecrawl offers plan-based concurrency limits and batch APIs for crawling, plus async jobs with webhooks for large-scale runs.
Firecrawl vs. Tavily: Full comparison matrix
Here's a complete feature overview of Firecrawl vs. Tavily.
| Feature | Firecrawl | Tavily | What this means |
|---|---|---|---|
Output formats | Markdown, JSON, HTML, screenshots, links, summary, branding | Markdown, text, raw content with metadata | Both support markdown output. Firecrawl offers more format options. |
When it matters Important for RAG pipelines and downstream processing. Trade-offs Firecrawl's broader formats give flexibility; Tavily's narrower formats are simpler but less adaptable. | |||
Search API | Built-in /search with optional scraping, web/news/images sources, category filters, plus /agent for hard-to-reach data | Search-first API with ranking and citations | Both support search workflows. Firecrawl keeps discovery, crawling, and extraction in one platform, and /agent finds data in hard-to-reach places for lead gen and dataset curation. |
When it matters Best when you want search and full-page extraction without stitching multiple tools together. Trade-offs Tavily stays search-first, so deeper crawling and extraction typically require additional tooling. | |||
Schema extraction | Natural language prompts + JSON Schema | Natural language prompts + optional schemas | Both support prompt-based and structured extraction. Firecrawl combines prompts, schema extraction, and an agent that can search for sources directly. |
When it matters Essential for building structured datasets and agent workflows. Trade-offs Schema-based extraction is more precise. Prompt-only flows can need extra validation. | |||
RAG optimization | Clean markdown with preserved structure | Relevance scoring + citations | Firecrawl prioritizes full-page content quality for ingestion. Tavily adds search ranking and citations for agent context. |
When it matters Best when building durable knowledge bases versus quick retrieval. Trade-offs Full content is more comprehensive but slower. Ranked results are faster but can be less complete. | |||
Concurrency control | Plan-based limits (2 to 100+ concurrent browsers) | Rate limits (100 RPM dev, 1,000 RPM prod) | Firecrawl gives plan-based browser concurrency for predictable throughput. Tavily uses request-per-minute limits with backend auto-scaling. |
When it matters Important for high-throughput scraping and search workloads. Trade-offs Plan-based concurrency offers predictable throughput. RPM limits are simpler but can cap burst capacity. | |||
Proxy support | Can configure own proxies, if required | Not documented | Firecrawl can route through your proxies for control and compliance; Tavily uses internal infrastructure. |
When it matters Essential for geo-restricted content or avoiding IP bans. Trade-offs Proxies add complexity and cost. Managed infrastructure is simpler and lets you focus on your business logic. | |||
Batch API | Yes (async jobs + webhooks) | No (request-response only) | Firecrawl can process thousands of URLs asynchronously with webhooks; Tavily requires request-response workflows. |
When it matters Essential for large-scale scraping (10k+ pages). Trade-offs Async workflows require webhook handling, but scale better for large jobs. | |||
Free tier | 500 credits | 1,000 credits/month | Both offer decent free plans to test and evaluate fit for your use case. |
When it matters Important for testing and low-volume use cases. Trade-offs Free credits are great for prototyping; compare limits and pricing once you scale. | |||
Entry pricing | $16/month (3,000 credits) | $30/month (4,000 credits) | Firecrawl's entry plan is cheaper. Both offer similar credit volumes at this tier. |
When it matters Important for early-stage projects and startups. Trade-offs Lower entry cost helps early pilots; evaluate features needed beyond price. | |||
High-volume pricing | $83/month (100k credits) | $0.008/credit PAYG (~$800 for 100k) | Firecrawl offers fixed monthly plans that are 10× cheaper at 100k volume, and gets even cheaper on Enterprise. Tavily's PAYG suits variable usage. |
When it matters Critical for production deployments and high-volume scraping. Trade-offs Monthly plans require usage estimation. PAYG offers flexibility but can be costly at scale. | |||
SDKs & integrations | Python, Node.js, Rust, Go + LangChain, LlamaIndex, Lovable, n8n, Zapier, Make, MCP | Python (async) + LangChain, LlamaIndex, n8n,Zapier, Make,MCP | Both support major LLM frameworks. Firecrawl has more language SDKs for broader integration. |
When it matters Important for integration into existing tech stacks. Trade-offs More SDKs reduce custom wrapper work. Fewer SDKs can mean more glue code. | |||
Documentation quality | Comprehensive (guides + API ref) | Basic (API ref only) | Firecrawl has more examples and tutorials; Tavily is leaner. |
When it matters Important for onboarding and troubleshooting. Trade-offs Fewer examples and tutorials can mean more time debugging and figuring out workflows. | |||
Community & support | Discord, GitHub, email | Discord, Email | Both Firecrawl and Tavily have active communities and support channels. |
When it matters Important if you need fast answers or peer help. Trade-offs Community support varies in quality; email is slower but official. | |||
Click any row to see when it matters and trade-offs
Firecrawl vs. Tavily: Benchmarks
Real-world performance comparison of Firecrawl vs. Tavily.
| Metric | Firecrawl | Tavily |
|---|---|---|
| Coverage (Success Rate) | 77.2% | 67.8% |
| Quality (F1 Score) | 0.638 | 0.494 |
| P50 Latency (ms) | 1012 | 1638 |
| P95 Latency (ms) | 3387 | 7339 |
| $/scrape | $0.0063 | $0.0080 |
Checked 1,000 URLs for content recall and whether each tool retrieved at least 10% of the expected content gap, using the Firecrawl scrape-content-dataset-v1 dataset.
Last updated: Jan 13, 2026
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Community
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People love
building with Firecrawl
Discover why developers choose Firecrawl every day.
Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."
Upload a CSV of emails and..."
Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."
Upload a CSV of emails and..."
Fast-moving orgs are building with Firecrawl
Zapier
How Zapier uses Firecrawl to Empower Chatbots
Discover how Zapier uses Firecrawl to empower customers with custom knowledge in their chatbots.
Retell
Retell's AI phone agents get LLM-ready content from Firecrawl
How Retell keeps AI phone agents answering from live, LLM-ready content using Firecrawl's web scraping API.
Stack AI
How Stack AI Uses Firecrawl to Power AI Agents
Discover how Stack AI leverages Firecrawl to seamlessly feed agentic AI workflows with high-quality web data.
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FAQs
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FAQ
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Frequently
asked questions
Everything you need to know about this comparison.
General
Firecrawl provides /search and /agent for discovery plus extraction, which is great when you want to search and then crawl or scrape full pages. Tavily focuses on search ranking and citations. Use Firecrawl when you need deeper extraction or site crawling. Use Tavily for search-first workflows.
Based on the benchmark tests, Firecrawl achieved 77.2% coverage versus Tavily at 67.8%. That means Firecrawl succeeded on more URLs in the same test set.
Technical
Yes. Firecrawl can return summaries and multiple extraction formats, including markdown, screenshots, links, HTML, JSON, and branding. Tavily can be a strong fit for summary-first use cases, while Firecrawl goes deeper with full-page extraction.
Firecrawl /agent can search for sources and extract structured data in one flow. It helps with discovery for lead generation, competitive research, and dataset curation, then returns content you can use for downstream workflows.
Integration
Depends on your use case. Firecrawl is better for building knowledge bases from specific sites (docs, wikis). Tavily excels at retrieving fresh context from multiple sources for agent queries. Use Firecrawl for depth, Tavily for breadth.
Firecrawl: 500 free credits, then $16/month for 3,000 credits. Tavily: 1,000 free credits/month, then $30/month for 4,000 credits or $0.008/credit PAYG. At scale (100k), Firecrawl costs $83/month vs Tavily's $800 PAYG. Firecrawl is cheaper for high-volume scraping.
Advanced
Yes. You can combine them, but Firecrawl's /agent endpoint does a phenomenal job navigating, searching, and gathering web data at scale.
Both have solid API docs. Firecrawl offers more tutorials and an active Discord community. Tavily provides API reference and playground for testing. Both integrate with LangChain and LlamaIndex with official adapters.
Why Firecrawl?
The world's most comprehensive web data API. Our custom browser stack and semantic index deliver superior data quality across any website, handling more content types and edge cases than any competitor.
JavaScript rendering, dynamic content, and robust request handling built-in.
Process millions of pages with automatic rate limiting, caching, and distributed infrastructure.
Optimized scraping engine with parallel processing and smart caching for instant results.
Comprehensive docs, SDKs for all major languages, and dedicated support to help you succeed.
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Pricing
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