A benchmark summary showing how fastCRW performed on the Firecrawl scrape-content dataset and how those results should be interpreted.
In our 1,000-URL benchmark based on the Firecrawl scrape-content dataset, fastCRW reached:
That is the benchmark cluster behind the main proof statements on the site.
The value of this page is not a single headline number. It is that the numbers come from a named dataset and are accompanied by interpretation rules instead of being thrown into marketing copy without context.
This page summarizes the internal benchmark report used to support fastCRW cloud and self-host evaluation. The point is not to claim universal dominance. The point is to show why fastCRW is a credible choice for:
| Metric | fastCRW | Firecrawl v2.5 |
|---|---|---|
| Coverage | 92.0% | 77.2% |
| Average latency | 833ms | 4,600ms |
| P50 latency | 446ms | n/a |
| Noise rejection | 88.5% | expressed differently in public data |
| Idle RAM framing | 6.6MB | 450MB to 500MB+ |
Read the latency and RAM rows as benchmark and deployment framing, not as a guarantee for every site or every infrastructure shape.
The benchmark supports three strong product claims:
Coverage alone is not enough. A crawler that succeeds more often but is dramatically slower or heavier can still be the wrong operational choice for some teams.
Likewise, latency alone is not enough. A fast system that fails on too many targets is not useful either.
That is why this page keeps coverage, latency, and runtime weight together. The point is to show the tradeoff cluster, not cherry-pick one flattering metric.
This benchmark does not prove that fastCRW wins every category against every crawler.
It also does not erase the fact that some competing products may still lead on:
That is why this page should be read together with the methodology page and the comparison pages under alternatives.
Use this benchmark as:
Do not use it as proof that you can skip testing your own target sites.