Proxies for AI scraping. Feed the model clean data.
Language models are only as good as the data behind them, and that data lives on sites that block bulk collection. Residential IPs and a scraper API gather it at the scale training needs, without the blocks.
What fits
2 products fit, best first
Residential proxies
$0.44/GBThe broad tool: real home IPs that read as ordinary visitors, so a crawl gathering millions of pages does not trip the defences bulk collection usually does.
Explore residential proxies →
Scraper API
$3.00/1kWhen you would rather not run the crawler at all: send a URL, get clean structured data back, with the proxy, retries and unblocking handled for you.
Explore scraper api →
Training data is a volume problem, and volume is what gets blocked
Assembling a dataset means fetching pages by the million, and no site distinguishes a research crawl from an abusive one by intent. It counts requests per address, and a single IP pulling that volume is the first thing rate limits and bot defences are built to stop.
Spreading the crawl across a large residential pool is what makes the volume survivable. Each address carries a small share of the total and reads as a genuine visitor, so the crawl completes instead of collapsing into a wall of blocks and CAPTCHAs a few thousand requests in.
Clean input, or clean output
There are two honest ways to do this. Run your own crawler and route it through residential IPs, which gives you full control over what you fetch and how. Or hand the fetching off to the scraper API, which takes a URL and returns parsed data, absorbing the proxy rotation, retries and unblocking so your pipeline only ever sees clean results.
Neither is a dataset you buy off a shelf, and we do not pretend to sell one. What we provide is the collection layer, the IPs and the fetching, that turns the open web into the input your model actually trains on.
FAQ
AI scraping questions, answered
Can I use these proxies to collect training data for an LLM?
Yes. Residential proxies and the scraper API are the collection layer for exactly this: fetching public web pages at the scale a training corpus needs. What you scrape and how you use it is your call and your responsibility; the proxies are the transport.
Should I use residential proxies or the scraper API?
Use residential proxies when you run your own crawler and want control over the fetch. Use the scraper API when you would rather send a URL and get clean data back, with the blocking handled. Many pipelines use both: the API for hard targets, raw residential for everything else.
Will a datacenter proxy work for AI scraping?
For undefended sources, yes, and it is cheaper. But the sites worth scraping for quality data usually screen datacenter ranges on sight, so at any real scale residential is what keeps the crawl alive.
Do you sell AI datasets?
No. We sell the proxies and the scraper API that let you collect data yourself. We do not run a dataset marketplace or a model, and we will not imply we do.
Related: AI agents, Web scraping.