Proxies for AI Training Data Collection per GB
AI teams collect large amounts of public text, prices, reviews and images to train and evaluate models. Proxies keep those crawls running at volume and in many languages, and per GB pricing keeps the cost tied to the data you actually collect.
Why AI data pipelines use proxies
Training and evaluation sets need breadth: many sites, many countries, many languages. Crawling at that scale from a few servers triggers rate limits quickly. A rotating proxy pool spreads the load, and country targeting lets you collect local language content from the region where it is published.
Volume pricing for large crawls
Large crawls benefit most from the volume step: any single purchase of 1 TB or more is billed at the lower rate per GB, and unused traffic never expires. Buy one large block and draw it down over the life of the project.
- Datacenter for open sources and public datasets
- Residential for sites that filter cloud traffic
- Country targeting for local language collections
Collect responsibly
Collect public data only, respect each site's terms and robots rules where they apply, keep request rates reasonable and never collect personal data you are not allowed to process. Our acceptable use rules apply to every account.
Set it up in four steps
- Estimate the volume in GB from a sample crawl
- Buy one block at the volume price
- Split jobs by country with country codes
- Track usage in the console and top up when needed
Questions about AI training data
Which proxy type is best for AI data?
Datacenter traffic for open sources because it is the cheapest per GB, residential traffic for sites that block servers.
Can I collect content in many languages?
Yes. Add a country code to the username to collect from local IPs in that country.