Firecrawl

Scrape + crawl + extract Scraping & Crawling firecrawl.dev ↗

LLM-ready markdown that tops the benchmarks, plus schema-driven extraction, asynchronous crawling and an official MCP.

Where Firecrawl lands

Composite scores out of 10, from benchmark runs where every provider faces the identical task corpus. Rank is within that capability's field; the newest run backing this page is 2026-06-22. Full method: how we measure.

Scrape 9.81 /10

rank 1 of 10 · leads the field 2026-06-20

Anti-bot bypass: 100%
Markdown clean: 9.6 / 10
Latency p50: 962 ms
Cost: $0.0021 / success
Errors: 0%

Class-leading result; every anti-bot vendor cleared.

Screenshot 9.5 /10

rank 1 of 8 · leads the field 2026-06-21

Valid image: 1.00
Full-page: 1.00
Latency p50: 1.3 s
Cost: $0.001 / call
Errors: 0%

Highest rate of valid images.

Parse · PDF/doc 8.82 /10

rank 1 of 3 · leads the field 2026-06-22

Text accuracy: 0.91
Latency p50: 293 ms
Cost: $0.0011 / useful
Errors: 0%

Scanned-PDF OCR sets it apart.

Extract · AI/schema 8.81 /10

rank 2 of 4 2026-06-21

Field accuracy: 0.96
Latency p50: 1.8 s
Cost: $0.0052 / useful
Errors: 0%

On the precision test it hallucinated a null field.

Crawl 8.61 /10

rank 1 of 5 · leads the field 2026-06-22

Coverage: 0.92
Latency p50: 16.3 s
Cost: $0.024 / useful
Errors: 0%

Leads for clean, path-scoped enumeration.

Watch 8.33 /10

rank 1 of 1 · leads the field 2026-06-21

Class. accuracy: 1.00
Diff quality: 0.50
Latency p50: 3.0 s
Cost: $0.001 / call
Errors: 0%

Uniquely offers synchronous change detection.

Act · declarative 7.41 /10

rank 3 of 6 2026-06-22

Task success: 0.80
Latency p50: 4.8 s
Cost: $0.005 / call
Errors: 0%

Act · NL-agent 5.66 /10

rank 2 of 2 2026-06-22

Task success: 0.67
Latency p50: 70.2 s
Cost: $0.05 / call
Errors: 0%

The honest pitch

Strongest case

Pick it for the top-scoring scrape and markdown quality, with crawl, scrape, screenshot and extract on one surface.

Known trade-off

Skip it when hard targets meet a tight budget: stealth plus JSON output stacks to about 5–9 times the base credit.

About Firecrawl

Firecrawl converts websites into clean data for LLMs, with quality that leads its benchmark class. The whole pipeline sits behind one API — fetch a single page, crawl a full site, map out its URLs, or extract structured fields to match a schema — and results arrive as tidy markdown, navigation and clutter stripped by default. The AI developer community holds it in high regard, the code is open source and self-hostable, and when extracted-text quality decides how well a model performs, this is the option to beat.

Reaching it through NativePort

Identical paths, parameters and responses to Firecrawl's own documentation — the gateway holds the upstream credential and meters your balance at Firecrawl's real published usage price.

curl https://api.nativeport.ai/firecrawl/<native-path> \
  -H "Authorization: Bearer $NATIVEPORT_API_KEY"

Entry price ~$0.83 / 1k (credit/page) Provider MCP official Route /firecrawl

Get a key — $5 credit included Endpoint reference