The verdict
Even split — pick on price or use case. We'd pick Proxy-Seller for most teams that need multi-product proxy marketplace — ipv4, ipv6, isp, residential and 4g/5g mobile under one cart, crypto-friendly, 13 languages., but the right answer depends on your workload — read the full review of each below.
Proxy-Seller vs Scrapeless — frequently asked
Which is cheaper, Proxy-Seller or Scrapeless?
On the entry tier, Scrapeless is the lower-cost option per gigabyte. Proxy-Seller starts at $1.77/GB and Scrapeless starts at $0.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, Proxy-Seller or Scrapeless?
Scrapeless has the larger advertised residential pool. Proxy-Seller reports 20M+ residential + 1M+ ISP/DC/IPv6 across 220+ countries across 220+ countries; Scrapeless reports 90M+ residential IPs across 195+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, Proxy-Seller or Scrapeless?
Scrapeless 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 — Proxy-Seller is typically picked for ["ipv4" workloads, while Scrapeless is often chosen for ["Scraping API" use cases.
Which has better support and SLA, Proxy-Seller or Scrapeless?
Proxy-Seller 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 Proxy-Seller gates dedicated account managers and Scrapeless gates them on enterprise tiers.
Should I pick Proxy-Seller or Scrapeless in 2026?
Pick Proxy-Seller when Multi-product proxy marketplace — IPv4, IPv6, ISP, residential and 4G/5G mobile under one cart, crypto-friendl. Pick Scrapeless when AI-focused web scraping platform with a Scraping Browser, Universal Scraping API, Deep SerpApi, Crawl, built-i. Most teams that consider both end up with either based on price or specific use-case fit.