# ScraperAPI publishes guide on interpreting web scraping success rate claims

> ScraperAPI released a guide explaining why published success rates vary from 40% to 100% and how to measure reliability for specific targets.

- Canonical: https://extractfeed.io/story/scraperapi-publishes-guide-on-interpreting-web-scraping-succ-86c7808/
- JSON: https://extractfeed.io/api/v1/stories/scraperapi-publishes-guide-on-interpreting-web-scraping-succ-86c7808.json
- Beat: Infrastructure & Proxies · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-17T23:37:54.177327+00:00 · Updated: 2026-09-17T23:37:54.177327+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- ScraperAPI: ScraperAPI released a guide explaining why published success rates vary from 40% to 100% and how to measure reliability for specific targets.

## Why it matters
Vendors often advertise high average success rates that may not reflect performance on a user's actual targets. This guide helps practitioners critically evaluate reliability claims and set realistic expectations, which is essential for choosing the right scraping infrastructure.

## Sources
- Primary source · ScraperAPI · 2026-09-15 — [Web scraping success rates: How to read reliability claims​](https://www.scraperapi.com/quick-start-guides/web-scraping-success-rates-how-to-read-reliability-claims/)

## Watch next
How do different vendors' success rates compare when tested on the same set of challenging targets?

Topics: ScraperAPI, success-rates, reliability, vendor-claims, measurement

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extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md