11 Best Web Scraping Proxies in 2026: Fast, Reliable & Scalable

What is a web scraping proxy

A web scraping proxy is a server that routes your scraper's requests through a different IP address, so automated data collection looks like normal user traffic to the target website. Without one, your real IP address gets flagged after a few hundred requests, and the data stops coming in.

Sites like Amazon, Google, LinkedIn, and Booking.com don't just count requests anymore. They analyze timing patterns, browser fingerprints, and the geographic spread of your traffic. Send 500 requests from a single IP, and you're not getting a warning; you're getting blocked. 

A quality web scraping proxy service distributes that traffic across thousands of IPs, each appearing to be a different real user.

The teams that depend on this the most: 

• E-commerce businesses tracking competitor pricing, 

• SEO agencies monitoring keyword rankings by location, 

• Market researchers pulling social data at scale,

• Data engineers building AI training pipelines from public web content.

The 11 best proxies for web scraping

These are the most widely used web scraping proxies in 2026, ranked by performance, reliability, and real-world scraping results:

CyberYozh 

CyberYozh earns the top spot because it was built with scraping in mind, not just as a proxy reseller. The platform runs on premium LTE/5G mobile, datacenter, and residential IPs, operates at 99.99% uptime, and includes native support for every major automation framework without requiring custom configuration.

That last part matters more than it sounds. Every hour spent wrestling with proxy setup is an hour not spent improving your scraper. CyberYozh's ready-to-use templates for Selenium, Puppeteer, Playwright, and Postman mean you can start collecting data the same day you sign up.

What's included:

• Premium LTE/5G mobile proxies, the highest-trust IP type for bypassing modern bot detection, since mobile carrier IPs are shared by millions of real users

• Residential proxy pool, real ISP-assigned IPs that match the behavioral fingerprint of genuine users

• Rotating and sticky session modes, rotate per request for bulk extraction, or hold a session for workflows that need login persistence

• City and country-level geo-targeting, collect localized pricing, regional SERP results, or geo-restricted content without separate infrastructure

• UDP, HTTP, HTTPS, and SOCKS5 support, compatible with every major scraping library

• Full API access, manage rotation, session parameters, and IP filtering programmatically

• Seamless integration with Selenium, Scrapy, Puppeteer, Playwright, Postman, and custom scripts.

• Flexible plans, pricing scales from solo developer to enterprise without minimum spend traps

• Best for: Independent developers, automation teams, and enterprises that need scraping infrastructure that actually holds up.

One thing that stands out compared to enterprise-heavy providers is that CyberYozh's pricing is transparent, budget-friendly, and accessible. You're not paying for a sales team and account management overhead. Plans start at $0.9/GB for residential proxies, delivering comparable quality to providers charging two to three times that.

Bright Data

The proxy network has 72M+ residential IPs, mobile IPs, data center IPs, ISP IPs, and a dedicated Web Unlocker product with built-in CAPTCHA solving and fingerprint management. The cost structure makes it hard to justify for anything below enterprise-scale operations.

• Granular geo-targeting down to ASN and carrier level

• Scraping browser with JavaScript rendering included

• Deep API and SDK documentation

• Pricing: Residential from ~$8.40/GB 

Oxylabs

102M+ IP pool, a managed Scraping API with built-in parsing, and good uptime. A reliable choice for teams that want a full managed scraping layer rather than raw proxy access. Oxylabs offers a premium pricing tier. Over-engineered for teams that need straightforward IP rotation rather than a managed platform.

• Residential, datacenter, ISP, and mobile proxy types

• Web Scraper API handles rendering and structured output

• AI-assisted web unblocker for adaptive anti-bot bypass

• Pricing: Residential proxy from ~$2.50/GB; scraping API from ~$49/month. 

Decodo 

Decodo offers 65M+ residential IPs, developer-friendly tooling, and a good onboarding experience. Good fit for mid-size teams that want reliable proxies without enterprise complexity. Smaller IP pool than Bright Data or Oxylabs; can affect success rates on the most aggressively protected targets at high volume.

• Site-specific scraping APIs for Google, Amazon, and others

• Real-time usage analytics dashboard

• 100MB free trial, no credit card required

• Pricing: Residential from ~$4/GB 

DataImpulse

A budget-friendly residential proxy option with a surprisingly large pool. Popular with independent developers and small data teams who don't need managed tooling. But there's no built-in scraping API, API blocks, CAPTCHA bypass, or JS rendering. Best for teams that already have a scraping stack and just need reliable IPs.

• 90M+ IPs across 195+ countries

• Pay-as-you-go, traffic never expires

• HTTP, HTTPS, SOCKS5 support

• Pricing: Residential from ~$1/GB, no subscription required 

IPRoyal

Straightforward proxy service with competitive residential pricing and an API. Works well for light-to-medium scraping projects that don't need advanced tooling. Basic feature set. No native scraping API, rendering, or CAPTCHA handling; requires more setup for complex targets.

• 32M+ IPs, Residential, mobile, datacenter, and ISP types

• Pay-as-you-go with no bandwidth expiry

• Pricing: Residential from ~$2.40/GB; datacenter from ~$1.39/IP 

SOAX

Compliance-first proxy network with verified residential IPs and strong geo-targeting precision. Worth considering for regulated industries or projects where IP sourcing ethics matter. Targeting filters (city-level, carrier-level) can apply usage multipliers that push effective costs above the advertised rate. Calculate carefully before committing at scale.

• 155M+ IPs including residential, ISP, and mobile

• High-precision targeting: country, city, ISP, carrier

• Pricing: Residential from ~$3.30/GB 

Rayobyte

Known for its US datacenter infrastructure, with residential and ISP proxies added more recently. Solid for pipelines where datacenter IPs are sufficient. Mobile proxy pricing is the highest in this comparison by a wide margin, not the right choice if mobile IPs are core to your workflow.

• Shared and dedicated IP options

• Strong technical support

• Pricing: Datacenter shared from ~$0.45/GB; residential from ~$3.50/GB 

Evomi

A newer provider with one of the lowest advertised residential rates on the market. Gets attention with the headline price, but the full-cost picture is more complicated. Targeting filters (city, ASN, carrier) carry multipliers up to 15x on Core plans. The effective rate once you add the targeting most scraping projects need is often far above the advertised base price.

• Residential, mobile, datacenter, ISP types

• Base residential from ~$0.49/GB

• Pricing: Core plan from ~$0.49/GB

Zyte

Built specifically for Python-based scraping stacks. Zyte's API wraps proxy management, rendering, and retry logic into a single call, making it genuinely useful for Scrapy-heavy teams.Built around the Python/Scrapy ecosystem. Teams using Node.js, Playwright-native stacks, or other frameworks get less out of the box.

• Smart proxy middleware for Scrapy

• Managed scraping service available

• Strong anti-ban and retry logic built in

• Pricing: Pay-as-you-go per API call 

ScraperAPI

One API call, one HTML response. ScraperAPI wraps proxy rotation, CAPTCHA solving, and JS rendering into the simplest possible interface. Good entry point for developers new to scraping. Abstracts away almost all proxy control. Teams that need fine-grained session management or IP selection logic will hit its limits quickly.

• Automatic IP rotation per request

• Headless Chrome rendering built in

• 1,000 free API calls for testing

• Pricing: From ~$49/month for 250,000 API credits 

Comparison table

Real-world web scraping use cases

• E-commerce price monitoring: Retailers pull competitor pricing across thousands of SKUs daily. Rotating residential proxies keep data flowing without triggering bot detection on platforms like Amazon or Shopify.

• SEO and SERP tracking: Google returns different results based on location and device. Geo-targeted proxies let SEO teams check what actually ranks in any city or country, not just their own.

• Social media data extraction: LinkedIn, Reddit, and X restrict automated access hard. Mobile proxies are the most effective here, carrier IP ranges trigger far fewer bot-detection flags than datacenter IPs.

• AI training data pipelines: Building LLMs and AI systems needs enormous volumes of structured web content. This requires a stable, high-throughput rotating proxy infrastructure with minimal interruptions during long collection runs.

• Market research and lead generation: Sales and marketing teams scrape public directories, job boards, and professional platforms to identify prospects and track industry signals.

Why proxy quality matters more than price in 2026

This is worth saying clearly because many people learn it the hard way.

Cheap proxies feel like a smart choice until you're debugging why your scraper is returning empty pages, hitting CAPTCHAs on the first request, or getting 403s before your session even starts. That's time your engineering team can't get back.

Bot detection in 2026 has moved well past IP reputation checks. Akamai's threat research documents how modern systems now analyze TLS fingerprints, timing patterns between requests, and the statistical distribution of traffic over time, all before a single page loads. 

A cheap datacenter IP in a flagged ASN doesn't need to send many requests to fail. It fails the fingerprint check on arrival. Residential and mobile proxies work because they use the same IP ranges as those used by real ISP customers and mobile users. 

Modern bot detection systems build their behavioral baselines from real-user traffic, and quality residential and mobile IPs match that baseline closely enough to pass. That's why CyberYozh's infrastructure is built specifically around mobile and residential IPs, not datacenter proxies repositioned as "scraping-friendly." 

If your pipeline needs to run reliably at scale in 2026, the infrastructure beneath it needs to match the actual threat environment.