Residential IP proxies for large-scale web document collection for AI training
Rotating residential IP proxies for AI training data collection help distribute requests widely, ensuring stable collection of public web documents across multiple countries and languages. IPKite's rotating residential proxies are cost-effective for large-scale collections with lower prices per GB for bigger bundles.
Why proxies are needed for AI data collection
Training language and search models requires millions to tens of millions of web documents. Sending this many requests from one or two IPs significantly slows down collection. Distributing requests across many residential IPs ensures even distribution and maintains consistent speed for large-scale collection.
If you need data in multiple languages, region is important. Selecting a country allows you to naturally access pages and content in the local language.
IPKite rotating residential proxies have no concurrent connection limits. Scale your scraping servers/workers linearly - all workers share the same connection details.
IPKite proxies for AI data collection
For large document collection, we recommend rotating residential proxies. Each request uses a new IP with no concurrent connection limits, allowing you to scale collectors while reusing the same credentials. Text-only collection minimizes per-page traffic for cost efficiency with bulk usage.
For high-volume requests on regular websites, combine with datacenter proxies. Unlimited traffic handles large file collections efficiently.
In scraping systems, you can check your balance and purchase history using the developer API. Regularly monitor your balance and top up in advance to ensure large-scale scraping doesn’t get interrupted.
- Rotating residential proxies: Collecting web documents in multiple countries/languages
- Datacenter Proxy: Bulk requests for general sites, large files
- Developer API: Check balance and purchase history from collection systems
Recommended settings for AI data collection proxies
Set separate concurrent request limits per site to distribute traffic evenly. Text-only mode lets you collect more documents per GB.
| Item | Recommended value | Reason |
|---|---|---|
| IP method | Rotating | Distribute high request volumes evenly |
| Country | Countries with the Required Language | Gather Local Language Documents |
| Content to Receive | HTML text only | Reduce traffic per page |
| Simultaneous requests | Per-site rate control | Avoid concentrating requests on a single site |
| Bundle | 10GB~10,000GB | Lowest price tier per GB |
Example settings for AI data collection
Python async example fetching multiple documents simultaneously. Each request gets a new IP while using same credentials.
import asyncio, aiohttp
PROXY = "http://USERNAME-cc-es:PASSWORD@gw.ipkite.com:7000"
async def fetch(session, url):
async with session.get(url, proxy=PROXY, timeout=aiohttp.ClientTimeout(total=30)) as r:
return url, r.status, len(await r.text())
async def main(urls):
async with aiohttp.ClientSession() as session:
for result in await asyncio.gather(*(fetch(session, u) for u in urls)):
print(result)
asyncio.run(main(["https://example.es/a", "https://example.es/b"]))Example costs for AI data collection
A text-heavy page is about 50KB of HTML. Collecting 10,000,000 documents needs about 500GB, which costs $1,650.00 at the 10GB+ bundle price ($3.30 per GB). At 20,000,000 pages it is about 1,000GB at $3.30 per GB, $3,300.00. From 200,000,000 pages (about 10,000GB) the $1.10 per GB price applies, for $11,000.00. Purchased GB never expire, so you can keep using them for collection that runs over several months.
| Document Count | Required Traffic | Purchase Example | Cost |
|---|---|---|---|
| 2,000,000 pages | Approx. 100GB | 100GB | $330.00 |
| 10,000,000 pages | Approx. 500GB | 500GB | $1,650.00 |
| 20,000,000 pages | Approx. 1,000GB | 1,000GB | $3,300.00 |
AI data collection configurations by scale
The appropriate setup varies based on the scale of your scraping. Start with small batches to test your pipeline, and as you scale up, move to larger batches to reduce the cost per GB.
| Scale | Recommended configuration | Price per GB |
|---|---|---|
| Test collection | Residential 10GB | $3.30 |
| Medium Scale | Residential 100GB | $3.30 |
| Large-scale | Residential 500GB | $3.30 |
| Massive scale | Residential 10,000GB+ | $1.10 |
| Large files mainly | Datacenter proxy IP bundles | Unlimited traffic |
Purchase proxies for AI data collection
To purchase proxies for AI data collection, calculate the required GB by multiplying the number of documents by the average size per page. Larger bundles offer lower prices per GB and no expiration, allowing continuous collection over months with a single purchase.
The purchase process involves topping up balance, selecting products and quantities, and receiving connection details. Connection details appear immediately on the member screen post-purchase.
- Pipeline test: 10GB
- Regular collection: 100GB
- Large-scale collection: 1,000GB
Best practices for AI data collection
Responsible collection practices become more crucial at larger scales.
- Respect robots.txt: Only collect pages that allow scraping and disclose the crawler name
- Check Terms and Copyright: Review the site's terms of use and data usage conditions
- Filter personal data: Remove PII from collected documents for training use
- Balanced Speed: Set intervals between requests to allow target sites to respond comfortably
- Reduce Duplicates: Avoid requesting already received addresses to save traffic