A Reproducible Benchmark for Large-Scale Web Scraping
An original, reproducible benchmark comparing scraping platforms on performance and cost, written as a decision tool rather than a pitch.
Client: Zenrows
The brief
Zenrows needed a comparison piece for teams evaluating scraping infrastructure at scale: credible enough that an engineer would trust it, specific enough to act on.
The challenge
Comparisons in this space are usually vague or self-serving. The piece had to define a fair methodology, run it across several real targets, and report results honestly, including where the product was not the fastest option.
The approach
Ran a defined test of 200 requests across 7 target sites, compared the platforms on performance and cost, and documented the method so a reader could reproduce it.
The work
A published benchmark article on the Zenrows blog, with the methodology, raw comparisons, and a clear read on which tool fits which use case.
The outcome
Published as Zenrows' reference comparison for large-scale scraping, and ranks in search for "Apify vs Zenrows" and related evaluation queries.
What this demonstrates
Benchmark design, technical rigor, and product-led content that earns trust by being useful first.