The verdict
Even split — pick on price or use case. We'd pick Firecrawl for most teams that need y combinator-backed ai-friendly crawling platform with 115k+ github stars, mcp server, and free 500-page tier — purpose-built for rag, ai agents, and llm ingestion., but the right answer depends on your workload — read the full review of each below.
Firecrawl vs Scrapfly — frequently asked
Which is cheaper, Firecrawl or Scrapfly?
On the entry tier, Firecrawl is the lower-cost option per gigabyte. Firecrawl starts at $0.00/GB and Scrapfly starts at $30.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, Firecrawl or Scrapfly?
Scrapfly has the larger advertised residential pool. Firecrawl reports 500 free pages across 50+ countries; Scrapfly reports Real residential + datacenter + mobile pool, ASP engine with stealth Chromium across 195+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, Firecrawl or Scrapfly?
Firecrawl edges ahead on overall success rate against our nightly Cloudflare/Amazon/Google SERP test rig. That said, the right choice depends on your target site mix — Firecrawl is typically picked for ["Scraping API" workloads, while Scrapfly is often chosen for Scraping API use cases.
Which has better support and SLA, Firecrawl or Scrapfly?
Scrapfly carries the higher trust score in our directory based on documented compliance, support responsiveness, and customer-base feedback. Both offer 24/7 channels at upper plans; only Firecrawl gates dedicated account managers and Scrapfly gates them on enterprise tiers.
Should I pick Firecrawl or Scrapfly in 2026?
Pick Firecrawl when Y Combinator-backed AI-friendly crawling platform with 115K+ GitHub stars, MCP server, and free 500-page tier . Pick Scrapfly when Observability-first scraping API with per-request cost telemetry, pay-on-success anti-bot bypass, and unified . Most teams that consider both end up with either based on price or specific use-case fit.