A Reproducible Benchmark for Large-Scale Web Scraping
A reproducible benchmark comparing scraping platforms across performance, success rate, and cost.
Client: Zenrows
The brief
Zenrows needed a comparison for engineering teams evaluating scraping infrastructure at scale. The article had to give readers enough methodology and data to assess the result themselves.
The challenge
The piece needed a fair test methodology, several protected targets, and transparent reporting across performance and cost.
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 benchmark article on the Zenrows blog with the methodology, test results, cost analysis, and guidance for choosing between the platforms.
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, reproducible testing, cost analysis, and product content grounded in measured results.