AI systems need massive amounts of fresh data. While public datasets provide a foundation, the real competitive advantage comes from collecting current, domain-specific information directly from the web. But this creates a challenge: How do you extract data at the scale AI demands and maintain reliable access to your target sites?
In this article, I’ll explain the different proxy types, their strengths and weaknesses as they relate to scalable AI web scraping and the best proxy providers in this space.
Why do you need proxies for AI web scraping?
AI scraping operates at fundamentally different scales than traditional scraping. Instead of extracting specific data points from known sources, you’re feeding large language models (LLMs), building retrieval-augmented generation (RAG) systems or powering autonomous agents that require diverse, high-quality data from hundreds of sources simultaneously.
Proxies solve these problems by:
- Rotating your scraper’s IP address and rotating it to minimize detection
- Allowing you to target specific regions or devices
- Enabling you to scale up requests while reducing the likelihood of getting blocked
- Feeding clean, structured data into downstream AI pipelines
Types of proxy servers
Proxy servers act as intermediary connections that channel web traffic through alternative IP addresses, enabling web scrapers to manage interaction with access controls or anti-bot systems, adapt to usage limits and view geographically localized content. When it comes to AI data collection, proxies are crucial for maintaining reliable access when collecting large amounts of quality web data. There are four types of proxy by source, and each one comes with its own characteristics, trust signals and technical behaviors.
Here’s a breakdown of the most common proxy types you’ll encounter:
Residential Proxies
Residential proxies use IP addresses assigned to actual residential users by internet service providers (ISPs). These are authentic, consumer-grade devices like smartphones, laptops or routers. When you scrape through a residential proxy, you’re essentially simulating an everyday internet user. They route your requests through a peer-to-peer (P2P) network or ethically sourced residential pool. This gives your scraping traffic the look and feel of organic, human behavior.
Use cases:
- Scraping e-commerce platforms (like Amazon, Walmart, etc.)
- Gathering location-based content for LLM training
- Accessing data from news sites or review platforms that implement anti-bot measures
- Building diverse, human-like datasets for AI models
Datacenter Proxies
These proxies are hosted on cloud servers or data centers, not tied to a residential ISP or mobile network. They offer artificial IPs owned by hosting providers like Amazon Web Services (AWS), Hetzner Online GmbH (Hetzner) or OVHcloud (OVH). Requests are routed through high-performance servers located in global data centers. They’re usually static and allow for unlimited bandwidth or high throughput.
Use cases:
- High-speed scraping of public websites or forums
- SEO data collection from search engines
- Product and pricing data at scale
- Training LLMs on open directories or low-risk targets
ISP (Static Residential) Proxies
ISP proxies combine the trust of residential IPs with the stability of datacenter infrastructure. These IPs are issued by real ISPs but are hosted on static servers, making them fast and reliable. They behave like a residential IP to websites but don’t rotate. They maintain a consistent identity, which is crucial for session-based workflows.
Use cases:
- Maintaining continuous sessions for workflows that require consistent IP addresses (e.g., tracking changes in flight details or pricing, ongoing monitoring, or data validation)
- Accessing web portals with localized content
- Ensuring reliable connectivity for automated testing of website features across different regions
Mobile Proxies
Mobile proxies route traffic through real mobile devices connected to 3G, 4G or 5G cellular networks. These IPs are provided by telecom carriers like Verizon, Vodafone and MTN. Each request goes through a mobile device or a network tethered to mobile data. Websites typically treat mobile IPs with the highest trust, as they’re tied to individual consumers with dynamic IP assignment.
Use cases:
- Accessing mobile-specific versions of websites
- Minimizing advanced bot detection and CAPTCHAs
- Gathering user-agent-targeted content (iOS vs. Android)
- Scraping app marketplaces or mobile ad networks
Strengths, limitations and recommendations by proxy type
Each of the proxy types has its strengths and weaknesses as it relates to AI web scraping. Let’s go over the most important factors to consider when choosing a proxy for your use case:
| Proxy Type | Strengths | Limitations | Recommendations |
| Residential Proxies | Most human-like scraping behavior using IPs from real consumer devices. Excellent for localized content, JS-heavy websites and minimizing detection. High success rates when combined with fingerprinting and browser emulation | Can incur high cost due to bandwidth-based pricing Higher latency compared to datacenter proxies IP freshness may vary; some IPs may be reused depending on provider | Use for collecting data from platforms with advanced bot detection measures or for assembling AI training datasets that represent multiple regions and consumer contexts. Ideal for social media, ad verification, LLMs and dynamic e-commerce sites. Choose providers offering ethical sourcing, rotation control and city/Autonomous System Number (ASN) targeting. |
| Mobile Proxies | Use of real mobile networks (3G, 4G and 5G), which appear highly trustworthy to most websites Effective for mobile-only content and minimizing detection. Highest anonymity and often given more leeway by websites | Among the most expensive proxy options Lower throughput due to mobile network speed Smaller IP pool, especially in specific or niche geographies | Use only when scraping mobile-specific data such as app APIs or mobile SERPs. Best suited for SEO analysis, mobile ad verification and data locked behind mobile user interfaces. Combine with device fingerprinting and browser emulation for full simulation. |
| Datacenter Proxies | Extremely fast and cost-effective Best for high-volume scraping on unprotected or lightly protected websites Ideal for SERP scraping and basic pre-training data collection Often offers stable uptime with scalable pools | Easily detected and blocked by modern antibot services (e.g., Cloudflare, Akamai) Not suitable for complex JavaScript-rendered content May get entire IP ranges blacklisted | Best for high-speed crawls, bulk product catalog extraction or unprotected sites. Useful in the early stages of AI data gathering where accuracy and identity simulation aren’t critical. Combine with scraping logic that can handle block responses. |
| ISP (Static Residential) Proxies | Combines residential trust with datacenter speed Reliable for long sessions and repeated scraping activity Usually available with flat-rate monthly pricing Excellent for maintaining identity and consistent IP sessions | Smaller IP pool, often concentrated in US, UK and CA regions More expensive than datacenter proxies Some ASNs used by providers may get flagged across certain sites | Ideal for data collection that requires session consistency. Recommended for long-term projects needing repeat access to the same platforms without frequent IP change. |
Key features to consider when choosing a proxy for AI scraping
To determine the top proxy providers, let’s conduct a thorough evaluation based on these key factors:
- IP Rotation and Management: This is important for large-scale scraping, especially when dealing with stateless data like news pages, SERPs or public listings on rate-limited platforms. If this is your use case, look for proxy providers with features like per-request rotation, large and fresh IP pools, built-in rotation logic and customizable rules based on requests, time or response codes.
- Session Management: While IP rotation helps minimize detection, some scraping workflows require acting like a consistent user, navigating multi-step flows or handling cookies. If this is your use case, look for features like sticky sessions, cookie and storage support, header and user-agent control and IP pinning to maintain a stable identity throughout the session.
- Geographic Targeting: For AI models to be truly context-aware, they need data drawn from diverse regions, languages and environments. This is important in use cases like e-commerce, local SEO, regional search engines and building multilingual datasets. Look for proxy providers that offer country, region, city or even ZIP-level targeting, mobile carrier support for mobile proxies, ASN-level control to simulate different ISPs and the ability to switch locations easily through preset configurations.
- Integration and Dev Experience: If you want to build your own scraper, then your proxy providers should be able to easily integrate into your stack. This means looking for providers with developer-friendly API documentation and SDKs support for multiple programming languages, a dashboard or CLI for managing proxy pools and usage compatibility with popular scraping libraries.
- Scraping API and Automation Support: If you don’t want to build your scraper from scratch, then built-in scraping APIs or rendering engines like Web Unblockers or Headless Browsers are great options. For this, look for providers with features like native scraping or Web Data APIs. If they provide structured outputs in formats like JSON, HTML or Markdown, that’s a major plus.
- Compliance and Ethical Sourcing: If you’re building responsibly, look for proxy providers with datasets and IPs that are ethically sourced and that demonstrate adherence to GDPR, CCPA and SEC regulations.
Comparing top proxy providers for AI web scraping
Now that you understand the types of proxies and how to choose one, let’s go into more detail about each proxy provider.
Bright Data
Bright Data stands out as a full-stack web data platform built specifically to power modern AI applications. Rather than simply offering proxies, Bright Data provides ready-to-train, structured datasets and real-time access to the entire web, optimized for AI, LLMs and intelligent agents. It removes the usual friction of web scraping, like proxy setup, CAPTCHA solving and JavaScript rendering, allowing teams to focus on building better models with better data.
Their infrastructure supports the complete AI data lifecycle, from extracting fresh web content to feeding it directly into your training pipelines. With tools like real-time search, scalable crawlers and fully managed browser sessions, Bright Data simplifies how AI agents interact with the web. Bright Data enables fast, automated access, all at scale and without blocks, whether you need clean text, historical SERP data or rich media content like video and audio.
On the operations and governance front, Bright Data brings controls for scraping at scale. Their Proxy Manager app allows for IP rotation settings and routing behavior, while management APIs and granular observability give teams control and insight into proxy flows. Security features like RBAC, 2FA, SSO (Okta, Azure AD) and an error catalog for debugging make it enterprise-ready. Compliance governance and data collection transparency are also built in, making it a solid choice for AI teams working in regulated or privacy-sensitive environments.
Key Features of Bright Data
- Massive Proxy Pool: Access 150M+ ethically sourced residential IPs, 700K+ ISP proxies, 7M mobile IPs and 770K+ high-speed datacenter proxies for any scraping target or location
- Unlimited Bandwidth: For high-volume scraping needs, Bright Data’s ISP and datacenter proxies come with flat-rate, unlimited bandwidth. This means you can run large-scale extraction jobs without worrying about per-GB billing or throttling, ideal for LLM training and bulk SERP collection.
- Operational Security: Built-in controls to support safe, scalable scraping, ensuring your operations stay compliant, observable and resilient under load. Bright Data’s security features are designed to handle production-scale use, reducing risk without slowing down data workflows.
- AI-Ready Web Access: Seamlessly search, crawl and interact with websites using managed browsers, unblockable and scalable for inference and training
- Training Data at Scale: Get high-quality, curated datasets in video, image, audio and text formats, tailored to your model’s specific needs
- Search & Crawl Tools: Fetch real-time, geo-targeted search engine results or crawl full websites in Markdown, JSON, or HTML with a single API call
- Fully Managed Browsers: Purpose-built remote browsers designed for AI agents, ideal for navigation-heavy tasks
- Dedicated Pipelines: Deploy custom data pipelines with triggers and scheduling, enabling real-time ingestion into your AI stack
- Web Archive Access: Tap into a massive web archive of billions of historical pages, including SERPs, videos, images and multilingual content
- Bright Data Datasets: Access ready-to-use, large-scale public datasets from e-commerce, job boards, social media and more
- Code and No-Code Web Scraper: Use flexible APIs or a point-and-click interface to scrape the web at scale, no setup needed, fully customizable and built for both devs and non-devs
- Social Impact Friendly: Bright Data also invests in AI for Good, supporting research and innovation that drives positive change
- Compliance: Bright Data leads with a proactive legal and compliance framework. With opt-in residential IPs, strict KYC policies and automated misuse prevention. It’s built for organizations that need transparency, reliability and regulatory confidence.
- 24/7 Support + Enterprise SLAs: You also get expert support with dedicated account teams and priority handling. Enterprise customers get robust SLAs and uptime guarantees, backed by responsive engineering and compliance specialists.
Decodo (Formerly known as Smartproxy)
Decodo offers a mix of proxy and scraping tools built specifically for high-scale data collection. At the heart of their solution is a proxy infrastructure that supports flexibility, speed and privacy across the board.
Decodo stands out for how it integrates into AI workflows. From ready-made scraping templates to advanced configurations like JavaScript rendering and custom headers, teams can tailor their setup for anything from sentiment analysis to multi-language data aggregation. The platform supports multiple output formats like JSON, HTML and CSV, making it easy to plug into ML pipelines and start training without extra prep time.
Key Features of Decodo
- Residential Proxies: 115M+ IPs across 195+ countries, offering reliable access with HTTPS and SOCKS5 support
- Mobile Proxies: 10M+ IPs with support for 3G, 4G and 5G, great for mobile scraping and app-related use cases
- Datacenter Proxies: 500K+ shared and dedicated IPs for fast and stable connections with global coverage
- Static Residential (ISP) Proxies: Available in major regions like the US, UK, CA, JP, NL and more
- Customizability: Full control over headers, rendering, browser fingerprints and geotargeting for complex scraping tasks
- Output Formats: Collect structured and unstructured data in JSON, HTML, CSV or table formats
- Real-Time: Access up-to-date, diverse data from a wide range of sources to reduce model bias and improve accuracy
- Integrations: Works with major programming languages, scrapers and tools; detailed integration guides back setup
- 24/7 Support: Live chat support, helpful docs and quick-start templates make onboarding and scaling simple
Oxylabs
Oxylabs is a proxy and data access provider that delivers tools that simplify how AI models gather and process real-world information. Their proxies, scraper APIs and AI-native tools help developers, researchers and companies extract data at scale, while minimizing friction or IP blocks.
The newly introduced OxyCopilot, an AI-powered scraping assistant, lets users generate extraction logic with natural language, removing the need for manual code. Their Web Unblocker solution is valuable for AI teams, using AI to automatically manage antibot systems so you can collect data from even the most complex websites with ease.
Key Features of Oxylabs
- Residential Proxies: Large global pool, ideal for avoiding detection and scraping dynamic content
- ISP Proxies: Static residential IPs with the speed and stability of datacenter proxies for long sessions and consistency
- Datacenter and Dedicated Datacenter Proxies: Cost-effective options for large-scale scraping tasks, with high-speed connections
- Mobile Proxies: Mobile IPs that simulate mobile device traffic, for mobile-specific data collection or app-related scraping
- Web Unblocker: AI-driven proxy tool that minimizes CAPTCHAs, blocks and detection by antibot systems
- Web Scraper API: Extract structured data from websites in JSON or HTML formats, compatible with AI pipelines
- OxyCopilot (New): Natural language scraping assistant; start scraping by typing English prompts, no code needed
- AI Platform Integration: Integration into AI workflows with multi-language SDKs, code examples and scalable automation tools
SOAX
SOAX is a modern proxy and data extraction platform. It minimizes the usual blockers like CAPTCHAs, blocks and accessing localized content. Whether you’re training LLMs, feeding AI agents or monitoring ecommerce platforms, SOAX offers the infrastructure and automation tools to turn raw web pages into structured, usable data.
Key Features of SOAX
- Residential Proxies: Over 155 million IPs across multiple regions
- Mobile Proxies: Unlock mobile-only content with real 3G and 4G mobile IPs
- ISP Proxies: Static residential IPs sourced from ISPs in the US
- Datacenter Proxies: Low-cost, high-speed proxies designed for large scale data collection
- Web Data API: Automatically handles proxy rotation, headers, cookies and JavaScript rendering
- Global Coverage: Access proxies in 195+ countries, with options for country, region, city and ISP-level targeting
- Unlimited Connections: Every plan includes unlimited proxy sessions, with support for HTTPS, SOCKS5, UDP and QUIC protocols
- Use Case Ready: Built-in support for e-commerce scraping, SEO monitoring, price tracking, consumer research, cybersecurity and LLM data training
Rayobyte
Rayobyte is a US-based proxy and web scraping provider built for high-scale, high-impact use cases. With over 40M+ residential IPs and the largest US proxy footprint, Rayobyte makes it possible to gather vast amounts of public web data quickly, reliably and responsibly.
Key Features of Rayobyte
- Residential Proxies: 36M+ real residential IPs, for scraping dynamic or localized content
- Rotating ISP Proxies: Proxies that blend residential legitimacy with datacenter speed
- Static ISP Proxies: These IPs offer long sessions with higher success rates
- Datacenter Proxies (Rotating and Static): Ideal for bulk scraping and high-speed tasks, with budget-friendly pricing and a wide pool of IPs
- Mobile Proxies: Mobile device IPs, useful for app testing, mobile-focused scraping and access to mobile-only content
- AI Training Support: Build text, image, audio and video datasets for LLMs using Rayobyte’s APIs and proxy tools
Webshare
Webshare is a performance-focused proxy provider built for scale, reliability and versatility. Webshare’s proxy infrastructure is designed to deliver fast, consistent access to public web data across the globe. With over 80 million residential IPs and 500K+ datacenter and ISP proxies, Webshare makes it easy to access the data you need.
Key Features of Webshare
- Rotating Residential Proxies: 80M+ residential IPs from 195 countries
- Static Residential Proxies: Stable IPs from actual ISPs like Comcast and AT&T
- Datacenter Proxies: 400K+ fast and affordable IPs with 99.97% uptime, for high-throughput scraping
- Global Coverage: Millions of IPs in major markets including the US, France, Germany, the UK, China, Canada and Japan
- Developer Friendly: Easy integration with APIs, clear documentation and a dashboard that supports real-time performance tracking
- Free Trial: Start with 10 free proxies and build a custom plan based on your needs
- Reliable Support: Strategic customer support helps troubleshoot complex scraping scenarios
How Proxies Fit into AI Scraping Workflows
After choosing your preferred proxy type and provider, the next step is to integrate it into your scraping setup to ensure smooth data scraping. Here’s how it typically works behind the scenes in a scraping pipeline.
- Your scraper routes each request through a proxy server.
- This is your first line of defense. Instead of sending requests directly from your machine or scraper, the traffic is routed through a proxy, which acts as a middle layer between you and the target site.
- The proxy rotates your scraper’s IP and handles periodic retries.
- Proxies help maintain reliable data access by assigning different IP addresses to your requests. Good proxy providers offer rotation mechanisms, either per request or per session, to prevent getting flagged or blocked. This keeps your access stable and consistent over time.
- The target website sees traffic as coming from a normal, legitimate user.
- Because the proxy uses IPs that simulate real users, like residential, ISP or mobile IPs, the target site doesn’t suspect unwanted or malicious traffic. With the right headers, user agents and session settings, your scraper appears like a human visitor.
- Your scraper extracts the data and sends it down to your AI or data processing pipelines.
- Once the page loads, your scraper captures the data (text, HTML, JSON, etc.) and moves it into your downstream pipeline, whether it’s for model training, inference, analytics or storage. The cleaner the proxy layer, the more reliable your data output.
- The proxy provider manages the IP pool, rotation logic and uptime.
- You don’t need to manually manage thousands of IPs or worry about connection drops. A solid proxy provider handles all the backend heavy lifting, scaling the pool, refreshing dead IPs, maintaining geolocation rules and keeping success rates high, so your scraping engine stays efficient and low-maintenance.
Choosing your proxy strategy
When scaling AI systems or data-intensive applications, choosing the right proxy provider is about how well the service aligns with your specific use case.
Monitor performance continuously and adjust your strategy based on detection rates, success rates and cost metrics because the most effective proxy strategy evolves with your AI data requirements and target site behaviors. Invest in providers that offer comprehensive APIs, detailed monitoring and responsive support. AI scraping infrastructure requires reliable partners who understand the unique challenges of machine-scale data collection.
Your proxy strategy should align with your AI model development timeline and budget constraints while maintaining the data quality and reliability your AI systems require for optimal performance.