Fastcrawl vs Bright Data
Bright Data runs one of the largest proxy networks on the web and prices itsWeb Scraper API per successfully-delivered record — no monthly minimum, pay for what gets returned. It is a genuinely powerful data-collection platform, but the cost model is a per-record + proxy-bandwidth build-your-own stack that is hardest to forecast. Fastcrawl is aflat 1 credit per call API for AI agents. This is a trade-off between a big data platform and predictable, agent-first output.
Side by side
| Feature | fastcrawl | Bright Data |
|---|---|---|
| Free tier | 2,000 credits / mo, no card — 2× Firecrawl | 5,000 records / mo, no credit card |
| Paid entry | $5 / mo (Go), 5,000 credits | Pay-as-you-go, $1.5 / 1K records — no monthly minimum |
| Pricing model | Flat 1 credit per call | Per successfully-delivered record (failed deliveries not charged) |
| Browser-rendered cost | Included, 1 credit | Billed per record; full browser rendering is a separate (costlier) product |
| Price predictability | One flat rate, every endpoint | Proxy bandwidth + per-record — hardest to forecast |
| Concurrency | None on Go plan | Unlimited concurrency (per-request billing) |
| MCP server | 12 tools | No first-class MCP for the scraper API |
| Monitors | Included (schedule + diff + webhook) | Batch & scheduled collection is an enterprise feature |
| PDF parse | Included | Not a dedicated endpoint |
| Contract | No commitment, cancel anytime | Committed plans (Scale $499/mo) for lower per-record rates |
When you'd pick Bright Data
You need massive proxy infrastructure (72M+ residential IPs), geo-targeting at scale, enterprise SLAs, or a data set delivered as structured JSON/CSV. Bright Data is a data platform, not a markdown-in/markdown-out API.
When you'd pick Fastcrawl
You want one call that turns any URL into clean, LLM-ready markdown, at a flat 1 credit per call. No proxy plumbing, no surprise per-record cost, no difficulty tiers — a single $5/mo plan that includes browser rendering, an MCP server, and built-in monitors.
Bottom line
Compare the same thing in another way — or just try it.
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