The verdict
Even split — pick on price or use case. We'd pick AlterLab for most teams that need pay-as-you-go web scraping api that turns urls into llm-ready markdown, structured json and clean text with ai-driven extraction., but the right answer depends on your workload — read the full review of each below.
AlterLab vs Scraper API — frequently asked
Which is cheaper, AlterLab or Scraper API?
On the entry tier, AlterLab is the lower-cost option per gigabyte. AlterLab starts at $10.00/GB and Scraper API starts at $49.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, AlterLab or Scraper API?
Scraper API has the larger advertised residential pool. AlterLab reports 195+ proxy countries (pool size not disclosed) across 195+ countries; Scraper API reports 100M+ requests across 100+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, AlterLab or Scraper API?
Scraper API edges ahead on overall success rate against our nightly Cloudflare/Amazon/Google SERP test rig. That said, the right choice depends on your target site mix — AlterLab is typically picked for Managed proxies across tiers; residential proxy access; Bring-Your-Own-Proxy workloads, while Scraper API is often chosen for [] use cases.
Which has better support and SLA, AlterLab or Scraper API?
Scraper API carries the higher trust score in our directory based on documented compliance, support responsiveness, and customer-base feedback. Both offer 24/7 channels at upper plans; only AlterLab gates dedicated account managers and Scraper API gates them on enterprise tiers.
Should I pick AlterLab or Scraper API in 2026?
Pick AlterLab when Pay-as-you-go web scraping API that turns URLs into LLM-ready markdown, structured JSON and clean text with AI. Pick Scraper API when ScraperAPI is a web scraping API that auto-handles proxies, CAPTCHAs, and headless browsers, with JS rendering. Most teams that consider both end up with either based on price or specific use-case fit.