ScraperAPI
General scraping behind a single GET, with proxy rotation and automatic retries handled.
Where ScraperAPI lands
Composite scores out of 10, from benchmark runs where every provider faces the identical task corpus. Rank is within that capability's field; the newest run backing this page is 2026-06-22. Full method: how we measure.
- Valid image
- 0.88
- Full-page
- 1.00
- Latency p50
- 27.4 s
- Cost
- $0.0049 / call
- Errors
- 12%
- Accuracy
- 0.73
- Field fill
- 0.78
- Latency p50
- 2.3 s
- Cost
- $0.0067 / useful
- Errors
- 0%
- Anti-bot bypass
- 62%
- Markdown clean
- 4.4 / 10
- Latency p50
- 2.4 s
- Cost
- $0.01 / success
- Errors
- 38%
The honest pitch
The right call when the simplest unblocking request wins and MCP-native discovery isn't on your list.
The catch: credit multipliers make costs hard to see upfront, and there's no first-party MCP.
About ScraperAPI
ScraperAPI reduces scraping to one request: give it a URL, and rotating proxies, browser rendering, CAPTCHA handling and automatic retries all happen behind the scenes, with the page coming back — or structured data, already auto-parsed — and no infrastructure on your side. Scale and reliability are the design goals, backed by a large proxy pool covering dozens of countries, geotargeting included. Teams that would rather think about the data than the machinery of staying unblocked will find it among the most straightforward options going.
Reaching it through NativePort
Identical paths, parameters and responses to ScraperAPI's own documentation — the gateway holds the upstream credential and meters your balance at ScraperAPI's real published usage price.
curl https://api.nativeport.ai/scraperapi/<native-path> \ -H "Authorization: Bearer $NATIVEPORT_API_KEY"