Best Proxy Providers for Large-Scale Web Scraping in 2026

When you're pulling data from the web at scale, you quickly learn that the internet doesn't always roll out the welcome mat. Sites throw up geo-blocks, IP bans, and CAPTCHAs like bouncers at an exclusive club. For businesses and researchers in 2026, large-scale scraping isn't just a nice-to-have—it's mission-critical. The difference between success and failure often comes down to one thing: choosing the right proxy provider.

Why Proxies Matter for Large-Scale Scraping

Here's the reality: scrape at scale without proxies, and you'll hit walls fast. Websites see repeated requests from the same IP and assume you're up to no good. They'll block you, throttle your connection, or serve you endless CAPTCHA puzzles.

Quality proxies let you rotate through different IP addresses, appear to be browsing from anywhere in the world, and slip past even sophisticated anti-bot systems. They're not just protection—they're your ticket to accessing the data you need without getting your infrastructure blacklisted.

If you're scaling up your data collection operations, 👉 reliable proxy infrastructure becomes non-negotiable for maintaining consistent access. Let's look at what's available.

Bright Data: The Enterprise Heavyweight

Bright Data built its reputation as the one-stop shop for enterprise scraping needs. Their network spans residential, mobile, datacenter, and ISP proxies—all ethically sourced with serious compliance oversight.

What sets them apart is the Proxy Manager, an advanced dashboard that handles IP rotation, session control, and granular targeting without breaking a sweat. When you're dealing with challenging websites that actively fight scrapers, these tools matter.

Best for: Enterprise teams running compliance-driven, high-volume scraping across global sources.

What you get:

• Over 150 million IPs spread across 195+ countries for genuine global reach

• Built-in CAPTCHA solving and intelligent rotation to bypass anti-bot systems

• Legal oversight and compliance frameworks for ethical data collection

• 24/7 expert support with dedicated onboarding for enterprise clients

Pricing: Free trial available, then pay-as-you-go or monthly subscriptions with custom enterprise pricing.

The catch: The advanced toolset can feel overwhelming if you're just getting started with scraping.

Oxylabs: AI-Powered Automation

Oxylabs brings AI into the proxy game with OxyCopilot, which automates scraping and parsing requests intelligently. Their platform combines residential, datacenter, and mobile proxies with sophisticated API tools, making large-scale operations more efficient.

The 177 million proxy network spans 195 countries, and their integration with frameworks like Puppeteer means you can plug into existing workflows without rebuilding from scratch.

Best for: Companies and researchers managing both small and large scraping projects with AI and machine learning requirements.

What you get:

• Complete data collection platform with automated proxy rotation

• AI-driven scraping through OxyCopilot

• Broad language support and framework compatibility

• One-stop solution for collection and parsing

Pricing: Free trial up to 2,000 results, then plans from $49/month (Micro) to $249/month (Advanced).

The catch: Built for professional users, which means the price point and complexity may be overkill for individual projects.

Infatica: The Balanced Middle Ground

Infatica delivers a steady, scalable proxy infrastructure without the enterprise complexity. With millions of residential, datacenter, and mobile IPs available, their platform focuses on intuitive geo-targeting at the country, city, and ASN levels.

The dashboard keeps things simple while still offering the rotating IP options you need to avoid blocks. For teams running ad verification, market research, or mid-scale scraping operations, 👉 Infatica provides reliable access without overwhelming configuration.

Best for: Mid-sized agencies and researchers focused on ad verification, basic crawling, and targeted web data sourcing.

What you get:

• 10 million+ diverse IPs with flexible targeting options

• IP rotation to maintain scraping continuity and avoid detection

• GDPR-compliant platform with transparent privacy practices

• User-friendly dashboard that doesn't require a PhD to operate

Pricing: Starts at $96/month for residential proxies, with tiered plans and a free trial available.

The catch: Smaller proxy pool compared to enterprise providers, with less sophisticated anti-bot protection for heavy-duty scraping.

NetNut: Speed and Stability

NetNut's claim to fame is direct-to-ISP connectivity, which translates to faster, more stable connections. They're built for continuous, long-running scraping operations where speed and uptime matter more than fancy features.

With 1 million+ residential and ISP IPs, NetNut focuses on low-latency connections through direct ISP aggregation. This approach reduces failure rates and keeps your scrapers running smoothly for real-time data monitoring.

Best for: Businesses needing fast, always-on proxies for real-time data monitoring and content aggregation.

What you get:

• Direct ISP connectivity for improved speed and reduced failures

• Strong privacy through ISP-level network control

• Straightforward API and management interface for quick deployment

• Enterprise-grade reliability for continuous operations

Pricing: Starts around $350/month with volume-based plans and custom enterprise pricing.

The catch: Smaller network size and fewer advanced anti-bot features compared to larger providers.

Which Provider Should You Choose?

The answer depends on what you're building. For enterprise teams that need global coverage, bulletproof compliance, and advanced anti-bot capabilities, Bright Data remains the industry standard. Their toolset handles the complexity of large-scale scraping without compromise.

Oxylabs makes sense when AI integration is central to your workflow. If you're building machine learning models that depend on continuous data collection, their automation tools save significant development time.

For mid-sized operations that need reliability without enterprise complexity or pricing, exploring options that balance features with accessibility makes practical sense. The key is matching your provider's strengths to your actual scraping requirements—not paying for capabilities you'll never use or choosing budget options that can't handle your scale when it matters.

Large-scale scraping in 2026 demands infrastructure that won't let you down when you're racing deadlines or monitoring time-sensitive data. Choose based on your real needs: global reach, compliance requirements, anti-bot sophistication, and the level of support your team actually requires to keep scrapers running smoothly.