Unblocked residential proxies for web scraping. 30M+ rotating IPs, 195+ locations, ~200ms avg, unlimited connections. Beat IP bans and rate limits from £2.50/GB.
Track competitor pricing across e-commerce sites like Amazon, eBay, and Walmart. Monitor real-time price changes across different regions to adjust your own competitive strategy dynamically.
Anti-bot systems correlate your IP's reputation with your TLS handshake and HTTP/2 settings. Datacenter IPs are flagged before the first byte of HTML is served because they originate from known cloud infrastructure like AWS or DigitalOcean. Instead of hard blocks, sites throttle requests or serve 'junk' data when they detect too many hits from a single subnet. This leads to inconsistent data quality and silent failures in your extraction pipelines.
Assign a fresh residential IP for each request. This maximizes request volume without triggering rate limits on targets like Amazon or LinkedIn that track request frequency per IP. Access 195+ locations with country, state, and city targeting. Route your traffic through specific regions to bypass local content blocks and see accurate regional pricing.
Web scraping at scale is a constant battle between your extraction logic and the target site's anti-bot infrastructure. Most modern sites no longer rely on simple IP blacklists; they use sophisticated behavioral analysis and network fingerprinting. This is why datacenter proxies fail almost instantly on targets like Amazon, LinkedIn, or Google. Those sites know exactly which IP ranges belong to AWS, Google Cloud, and DigitalOcean. When they see a request coming from a server room, they don't even check if it's a bot—they just block it or serve a CAPTCHA. Residential proxies are the only reliable way to bypass this because they route your traffic through real home internet connections.
The core of a successful scraping operation is the IP pool. At ProxyLabs, we maintain a pool of over 30 million residential IPs across 195 countries. This diversity is critical because it prevents subnet-level flagging. If you use a small proxy provider with only a few thousand IPs, a target site can easily flag the entire range. With 30 million IPs, your footprint is so thin that it's impossible for a site to block you without also blocking a significant portion of their real users. This is what we mean by 'unblocked'—you're hiding in the noise of legitimate residential traffic.
Session management is where most scraping scripts break. For basic data extraction, you want a fresh IP for every request to maximize your throughput. This is 'rotating' mode. However, if you're scraping a site that requires a login or has a multi-step checkout process, you need 'sticky' sessions. A sticky session ensures that your IP remains the same for the duration of that specific task. If your IP changes in the middle of a session, the website will detect the inconsistency and likely log you out or flag the account as suspicious. ProxyLabs supports sticky sessions for up to 30 minutes, which is more than enough for even the most complex scraping workflows.
Geo-targeting is another layer of complexity that many developers overlook. E-commerce sites often show different prices or inventory based on the user's location. If you're scraping from a US datacenter, you'll never see the prices shown to a user in Berlin or Tokyo. Our gateway allows you to target specific countries, states, and cities with a simple username parameter. This ensures that the data you're collecting is accurate for the market you're analyzing. For SEO professionals, this is the only way to track keyword rankings from different metro areas accurately.
Latency is the enemy of efficiency. When you're scraping millions of pages, every 100ms counts. Residential proxies are naturally slower than datacenter proxies because the traffic has to travel through a home connection. However, we've optimized our routing to minimize this overhead, achieving average response times of around 200ms. This is significantly faster than many other residential providers who route traffic through multiple hops. Faster proxies mean your scraping jobs finish sooner, your infrastructure costs are lower, and your data is more up-to-date.
One of the biggest mistakes we see is improper header management. Even with a perfect residential IP, you'll get blocked if your User-Agent doesn't match your TLS fingerprint. Modern anti-bot systems like Cloudflare analyze the handshake between your script and their server. If you're using Python's requests library but sending a Chrome User-Agent, the mismatch is a dead giveaway. We always recommend using libraries like curl_cffi or tls_client that can mimic browser fingerprints, or better yet, using a headless browser like Playwright for high-security targets.
Bandwidth planning is essential for managing your costs. Web scraping can be data-intensive, especially if you're scraping images or video. We recommend setting up your scrapers to only download the HTML and blocking unnecessary assets like CSS and JS whenever possible. At £2.50 per GB, ProxyLabs is one of the most cost-effective premium providers on the market, but inefficient scraping can still lead to high bills. Using our rotating sessions with a well-configured retry logic ensures you don't waste bandwidth on failed requests or blocks.
Failure recovery is a mandatory part of any production scraper. Even with the best proxies, you will occasionally hit a dead end. Maybe the residential peer went offline mid-request, or the site is undergoing maintenance. Your code must be able to handle these exceptions gracefully. We recommend a 'retry-on-failure' pattern where you catch 403, 429, and 502 errors and re-attempt the request with a fresh rotating IP. This ensures that your pipeline continues to move forward even when individual requests fail.
When should you NOT use ProxyLabs? If you're scraping a small, public site that has no anti-bot protection and doesn't rate-limit, residential proxies are overkill. You'd be better off with cheaper datacenter proxies or even a simple server-side script. Our service is designed for 'hard' targets where success is otherwise impossible. If you find yourself hitting a wall with other providers, or if you're tired of managing complex proxy rotation logic yourself, that's when you switch to ProxyLabs.
Cost estimation for scraping is straightforward with our pay-as-you-go model. A typical page scrape (HTML only) is about 100KB to 500KB. This means you can scrape between 2,000 and 10,000 pages per GB. At £2.50 per GB, your cost per 1,000 pages is roughly £0.25 to £1.25. Compared to the value of the data you're extracting—whether it's for price optimization, lead generation, or market analysis—the ROI is usually enormous. There are no monthly commitments, so you can scale your usage up or down as your project requirements change.
Most of our competitors use shared pools where multiple customers might be hitting the same target site from the same IPs simultaneously. This leads to 'IP poisoning,' where one user's aggressive behavior gets the IP banned for everyone else. At ProxyLabs, we use sophisticated load balancing and private pool isolation to ensure that your requests are as clean as possible. While no pool is 100% private in the residential space, we go further than anyone else to ensure you're not sharing 'burned' IPs with other high-volume scrapers.
Integration is designed to be a five-minute process. You don't need to install any proprietary SDKs or complex software. Our single gateway at gate.proxylabs.app:8080 acts as an intelligent router. You send your request there with your credentials, and our backend takes care of selecting the best IP, handling the geo-targeting, and maintaining the session if requested. This simplicity allows you to focus on your data extraction logic instead of the underlying network infrastructure.
The specific failure modes this setup has to survive in production.
Anti-bot systems correlate your IP's reputation with your TLS handshake and HTTP/2 settings. Datacenter IPs are flagged before the first byte of HTML is served because they originate from known cloud infrastructure like AWS or DigitalOcean.
Instead of hard blocks, sites throttle requests or serve 'junk' data when they detect too many hits from a single subnet. This leads to inconsistent data quality and silent failures in your extraction pipelines.
Modern CAPTCHAs trigger based on browser behavior, hardware concurrency, and IP location mismatch. When your network layer doesn't match your browser profile, you're hit with endless verification loops.
Pricing and inventory data often vary by region to prevent cross-border competition. Without precise geo-targeting, you scrape data that no real local customer sees, leading to incorrect business decisions.
The parts that matter when this workflow is under pressure.
Assign a fresh residential IP for each request. This maximizes request volume without triggering rate limits on targets like Amazon or LinkedIn that track request frequency per IP.
Access 195+ locations with country, state, and city targeting. Route your traffic through specific regions to bypass local content blocks and see accurate regional pricing.
Real ISP addresses appear as regular home users. This bypasses the first layer of detection used by Cloudflare and Akamai that automatically rejects datacenter traffic.
No limits on concurrent connections. Scale your scraping infrastructure from a single script to a massive cluster without worrying about gateway bottlenecks.
Full support for HTTP, HTTPS, and SOCKS5. This ensures compatibility with any scraping framework, from Python's requests to industrial-grade Scrapy or Playwright setups.
Average response times under 200ms across our global network. Collect data faster without compromising reliability or increasing your script's execution time.
Assign a fresh residential IP for each request. This maximizes request volume without triggering rate limits on targets like Amazon or LinkedIn that track request frequency per IP.
Access 195+ locations with country, state, and city targeting. Route your traffic through specific regions to bypass local content blocks and see accurate regional pricing.
Real ISP addresses appear as regular home users. This bypasses the first layer of detection used by Cloudflare and Akamai that automatically rejects datacenter traffic.
No limits on concurrent connections. Scale your scraping infrastructure from a single script to a massive cluster without worrying about gateway bottlenecks.
Full support for HTTP, HTTPS, and SOCKS5. This ensures compatibility with any scraping framework, from Python's requests to industrial-grade Scrapy or Playwright setups.
Average response times under 200ms across our global network. Collect data faster without compromising reliability or increasing your script's execution time.
Start with a minimal working configuration, then tune session behavior for the target workflow.
import requests
proxies = {
"http": "http://your-username:[email protected]:8080",
"https": "http://your-username:[email protected]:8080",
}
response = requests.get("https://example.com", proxies=proxies)
print(response.text)Replace your-username and password with your ProxyLabs credentials
The best proxies for web scraping are rotating residential proxies because they offer the highest trust score with anti-bot systems. While datacenter proxies are cheaper, they are easily identified by ASNs belonging to hosting providers. Residential proxies use IPs from real internet service providers (ISPs), making your automated traffic indistinguishable from legitimate home users. For large-scale operations, a pool of at least 30M+ IPs is necessary to ensure you don't exhaust the pool or hit the same IP twice in a short window.
Rotating proxies assign a new IP address for each request automatically. This is critical because most modern websites implement rate limiting, where they block any IP that makes too many requests within a minute. By rotating through millions of IPs, you can distribute 10,000 requests across 10,000 different addresses, ensuring no single IP ever hits a rate limit. This allows you to scrape at industrial speeds without the target site ever detecting a pattern that would trigger a block or a CAPTCHA.
Yes, geo-targeting is essential for scraping region-locked content or local pricing data. ProxyLabs allows you to target 195+ countries by simply appending the country code to your proxy username (e.g., username-country-us). For even more precision, we support state and city-level targeting. This is particularly useful for SEO monitoring and e-commerce scraping where prices, inventory, and search results vary significantly between locations like New York and London.
ProxyLabs is protocol-agnostic and works with any language that supports standard HTTP or SOCKS5 proxies. We have users successfully scraping with Python (using requests, Scrapy, or BeautifulSoup), Node.js (with axios or Got), Go, Ruby, and Java. Because we use a single gateway address (gate.proxylabs.app:8080), you don't need to manage complex rotation logic in your code. You simply point your library to our gateway, and our backend handles the IP rotation and geo-routing automatically.
We offer a flat, transparent pricing model of £2.50 per GB for our residential proxies. Unlike competitors who hide costs behind monthly subscriptions or complex 'credit' systems, you only pay for the data you actually transfer. This is ideal for scraping because your costs scale exactly with your data needs. For high-volume users moving multiple terabytes a month, we offer volume discounts up to 40%. There are no hidden fees for concurrent connections or the number of IPs you use from the pool.
Absolutely. Headless browsers like Playwright, Puppeteer, and Selenium are often required to scrape JavaScript-heavy sites that won't render with simple HTTP clients. ProxyLabs proxies integrate perfectly with these tools at the browser or context level. When combined with our residential IPs, you can bypass complex anti-bot systems like DataDome or Akamai that analyze both the network layer and the browser fingerprint. Our 30-minute sticky sessions are particularly useful here for maintaining a consistent session while a headless browser navigates through multiple pages.
If you already know the blocker — bans, queues, login churn, or geo mismatch — start there and size bandwidth around the actual workflow.
START_NOW→£2.50/GB • No subscription • Private IP pools