
Power your AI data pipelines with the largest residential proxy network. Collect diverse, multilingual training data from 195+ countries without IP bans or rate limits. Trusted by AI teams for ethical, large-scale web data collection.
Training a competitive large language model requires billions of web pages collected from thousands of diverse sources. Companies like OpenAI, Anthropic, Google, and Meta rely on massive web crawls to build their training datasets. Without proxy infrastructure, data collection at this scale is impossible. Websites block automated requests, geographic restrictions limit content access, and anti-bot systems ban IPs within minutes. Proxy networks like SpyderProxy solve these challenges by routing requests through millions of real residential IP addresses, making each request appear as a genuine user visit.
Access the largest residential proxy pool for AI training data collection. Real ISP-assigned IPs across 195+ countries ensure your crawlers look like genuine users, not bots.
Unlimited concurrent sessions, auto-rotation, and sticky sessions up to 8 hours. Collect millions of pages daily without interruption or IP bans.
Train better AI models with geographically diverse data. Target any of 195+ countries with city-level precision to capture regional content, languages, and cultural context.

We built our dashboard for real people, not just tech geeks. See traffic, track usage, whitelist IPs – all in a few clicks. Need to make changes? No problem, it’s all in one place.
Whether you’re new to the proxy world or a seasoned user, there’s a knowledge library to set you up for success. Get started with our quick start guide, browse developer-friendly documentation, or drop us a line – we’re available 24/7 through LiveChat.

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AI companies use proxy networks to collect diverse web data for training large language models. Proxies rotate IP addresses across millions of residential IPs, making data collection requests appear as normal user traffic. This prevents IP bans and rate limiting while enabling collection of billions of web pages needed for models like GPT-4, Claude, and Llama.
Budget Residential proxies ($1.75/GB) are best for high-volume collection from general websites. Premium Residential ($2.75/GB) is ideal for protected targets with advanced anti-bot systems. Datacenter proxies ($3.55/month) work well for public APIs and open datasets. Most AI companies use a mix of all three.
IPRoyal offers 50M+ residential IPs starting at $7/GB. GeoNode provides 2M+ IPs from $4/GB. SpyderProxy offers 130M+ IPs starting at $1.75/GB (budget) or $2.75/GB (premium) with unlimited concurrent sessions. SpyderProxy provides a larger IP pool at significantly lower cost per GB, making it more cost-effective for the high-volume data collection AI training requires.
Collecting publicly available web data using proxies is generally legal under fair use doctrines and has been upheld in cases like hiQ Labs v. LinkedIn. However, you should respect robots.txt directives, terms of service, and avoid collecting personal or copyrighted data. SpyderProxy supports ethical AI development with a no-logs policy and ethically-sourced IP network.
Training data collection for a competitive LLM typically requires 1-50 TB of web data. At SpyderProxy budget rates ($1.75/GB), collecting 10 TB costs approximately $17,500. Volume discounts reduce costs further for enterprise AI teams.
Yes. SpyderProxy integrates with any crawling framework including Scrapy, Puppeteer, Playwright, wget, and custom Python scripts via HTTP(S) and SOCKS5 protocols. You can build a private web crawl that supplements or replaces Common Crawl data with fresher, more targeted content.