Trusted by 1M+ developers around the world
Built for grounding, not just scraping
Three ways Tavily simplifies how your agents find and use web-sourced evidence.
Start from a question, not a URL list
Firecrawl is strong at scraping known URLs. Tavily starts earlier in the pipeline: it searches, selects, and ranks sources for relevance—then returns the useful content.
- Better when you don’t already have a URL list
- Higher hit-rate for research-style queries
- Less manual tuning of seed sites and crawl scopes
Results you can inspect, cache, and test
When debugging grounding, teams need the retrieved text and the source URLs—not just a blob of scraped output. Tavily returns content-first results designed for reuse.
- Inspect what the agent actually used
- Cache evidence artifacts for repeated runs
- Compare retrieval quality across prompts & models
Reduce engineering overhead
With Firecrawl, teams stitch together discovery → scraping → parsing → cleanup → chunking → dedupe → ranking. Tavily is one retrieval layer for all of it.
- One shared retrieval layer across many agents
- Consistent controls instead of per-agent pipelines
- Fewer components to operate and QA
/side-by-side
Feature comparison
See exactly how the two platforms differ across the capabilities that matter most.
| TavilyWeb grounding for agents | FirecrawlScraping & crawling toolkit | |||
|---|---|---|---|---|
| Best for | Web grounding for agents, RAG/retrieval pipelines, multi-agent platforms | Scraping/crawling known URLs & domains; extracting content/fields | ||
| Core strength | Finding + reranking the best sources for a query, returning clean content + sources | Scraping content from pages you specify | ||
| Starting point | You have a question — Tavily discovers and selects sources | You have URLs/domains — Firecrawl turns them into text/structured data | ||
| Typical output | Reranked sources with useful excerpts, extracted text + citations | Markdown / JSON / screenshot from scraped pages; optional schema-based extraction | ||
| Standardizing across agents | Built for one retrieval standard across many workflows | Often ends up as a toolkit each team integrates differently | ||
| Source discovery | Search + select + rank | Requires known URLs | ||
| Relevance reranking | Built-in | DIY or third-party | ||
| Structured extraction | Clean excerpts + sources | Schema-based extraction | ||
| Open source | — | AGPL + hosted cloud |
/a different category
Scraping is not the same as grounding
Scraping and Grounding solve different problems in the agent pipeline. Here’s how to think about the difference.
Scraping answers
“What does this page contain?”
You provide URLs. The tool returns raw page content as markdown, JSON, or structured data. Great when you already know where to look.
Grounding answers
“Which pages contain the best evidence for this question?”
You provide a question. Tavily discovers the best sources, extracts the relevant parts, and returns ranked excerpts your agents can trust.
/enterprise ready
Enterprise-grade security, built in
Everything your security & procurement team needs to say yes.
Data handling
Retention controls with a zero-data-retention (ZDR) option. Your data never trains our models.
Risk controls
Prompt-injection defenses, malicious content handling, and PII controls built into the retrieval layer.
Procurement ready
DPA, NDA, SLA, and full security packet available. We speak your procurement team’s language.