Five cases from independent scraping and QA work. In most, the client was already paying a vendor for this data. None of these gaps were visible until someone ran it independently.
On a nationwide provider directory, we returned 79K more providers than the previous vendor on the same URL list. The client had no way to know. Across similar state-based directories, we consistently return over 5% more in-state providers.
Read the case study → Accuracy & completeness Alternative data providerAcross 30 sources, the previous vendor delivered records without the entity identifier needed to match them to other datasets. The vendor said it couldn't be pulled. It was there the whole time, hidden in the page behind the visible view.
Read the case study → Revenue unlock Travel & hospitality data companyThree high-value travel sources were on the company's target list, quoted elsewhere at over $10,000 per run. We re-engineered the approach and the bypass and brought it to $1,500, making all three viable to package and sell.
Read the case study → Cost efficiency Real estate data companyThe vendor's volume discount looked 40% cheaper per row. But they billed for 6.7× more rows than the data held, making their total roughly 4× ours. We deduplicate and scope to what's relevant: about 75% lower for the same data.
Read the case study → Quality assurance E-commerce resellerAn e-commerce reseller had tens of thousands of live listings a month, many on Amazon pages they didn't control. We scraped every listing, flagged image and size mismatches with AI, and sent the edge cases to human review. Listing errors fell from 5% to 2%.
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