Residential Proxies for Web Scraping

Web scraping is the backbone of modern data-driven businesses. Whether you are building price comparison engines, training machine learning models, or monitoring competitors, you need reliable access to publicly available web data. But websites have become increasingly sophisticated at detecting and blocking automated access — and that is where residential proxies become essential.

The Problem with Datacenter Proxies

Datacenter proxies are hosted in cloud environments. Their IP ranges are well-known and cataloged by anti-bot services like Cloudflare, Akamai, and PerimeterX. When a website detects traffic from a datacenter IP, it often responds with CAPTCHAs, rate limits, or outright blocks. For large-scale scraping operations, this means wasted bandwidth, incomplete data, and constant maintenance of proxy rotation logic.

Why Residential Proxies Work

Residential proxies route your requests through IP addresses assigned by Internet Service Providers to real homes and mobile devices. To a target website, your traffic looks identical to a regular consumer browsing the web. Anti-bot systems have a much harder time distinguishing your scraper from a legitimate user, which means higher success rates, fewer CAPTCHAs, and more complete data collection.

ProxyShare takes this a step further with automatic rotation. Every request you send exits through a different residential IP address. This eliminates the pattern-based detection that catches even residential IPs when they make too many sequential requests. You get the stealth of residential IPs combined with the distribution of a massive proxy pool.

Common Web Scraping Challenges We Solve

Quick Integration Example

ProxyShare works as a standard HTTP proxy. Here is how to integrate it with Python requests, one of the most popular scraping tools:

import requests
proxies = {
"http": "http://user:pass@p.proxyshare.io:8080",
"https": "http://user:pass@p.proxyshare.io:8080"
}
# Each request automatically gets a new IP
for url in urls_to_scrape:
response = requests.get(url, proxies=proxies, timeout=30)
process(response.text)

No complex rotation logic. No session management. No IP pool maintenance. Just point your scraper at our gateway and every request exits through a fresh residential IP.

Pricing That Makes Sense for Scraping

Unlike competitors who charge $8-15 per GB, ProxyShare offers residential proxy bandwidth starting at $1.50/GB with our launch promotion. For scraping workloads that consume hundreds of gigabytes per month, this difference translates to thousands of dollars in savings. And your bandwidth never expires — buy what you need now and use it on your schedule.

Ready to start scraping?

Get rotating residential proxies starting at $5.

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