Inside the guide, you will find:
• The five variables that move a success rate by tens of points.
• The four metrics that actually carry signal.
• A 10-step test protocol you can run against your own target mix in two weeks.
• And 15 checkable questions to ask suppliers.
ScraperAPI looked at published success rates across the web scraping space, and the numbers run anywhere from 40% to a flat 100%.
Surprising? Not really; most vendors can actually defend their claims because the gap comes down to the definitions they used.
Big Data London 2026 is almost here, and the ScraperAPI team will be at Olympia London on September 23-24.
If your team is dealing with broken scrapers, geo-specific monitoring challenges, or heavy engineering overhead just to keep web data fresh, come say hello!
We’ll also get into the hidden costs of a DIY stack, why it’s hard to duplicate a "utility-grade" foundation, and what high-performing teams build once they stop fixing scrapers, with some ideas you can actually steal for your own engineering and product teams.
What does it cost to counter modern detection methods such as JA4 fingerprinting and behavioral analysis at scale?
We will dig into this with Ian Williams and Bernadette Nabil from ScraperAPI on September 23 at 6 PM CET during our live session.
On September 23 at 6 PM CET, ScraperAPI is hosting a live session: "Buy Reliability, Build Intelligence."
Ian Williams, our head of engineering, and Bernadette N., our senior product manager, will run the webinar.
linkedin.com/events/7500494…
Eoin Walsh, Shaleena Khan, and Ariel Garcia Castillo will be at booth P121 both days to show you how ScraperAPI helps marketplace teams monitor fast-changing listings and scale high-volume workflows with less manual effort.
Fresher marketplace data, fewer scrapers to babysit, and a straight answer on what's actually breaking your pipeline: just a few reasons to stop by ScraperAPI's booth at Big Data London, 23-24 September.
Visit our booth to learn more!
Here is what they will cover:
• A real "Build vs. Buy" audit, including the hidden costs of a DIY stack.
• What high-performing teams build once they stop fixing scrapers.
• Why 99.9% uptime is now the baseline, not a differentiator, and much more.
When a target site changes its defenses, who finds out first: your monitoring or your customer?
On Sept 23 at 6 PM CET, Ian Williams, Head of Engineering, and Bernadette Nabil, Senior PM at ScraperAPI, will discuss the real cost of countering anti-bot defenses at scale.
Eoin Walsh, Shaleena Khan, and Ariel Garcia Castillo from our team will be on-site sharing how to:
• Build production-grade scraping infrastructure.
• Deliver accurate web data at scale.
• Monitor dynamic listings without engineering complexity.
Visit our booth!
The best product ideas don't always come from brainstorming sessions.
Sometimes they come from frustrated customers.
One-star reviews reveal recurring pain points and feature requests. Web scraping helps you find those patterns at scale.
Retailer websites change their layouts constantly.
A renamed class, a different HTML structure, or a new page layout.
If your output changes every time the source changes, every downstream integration becomes a potential breaking change.
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