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AI & LLM training-data collection

Building datasets for model training and RAG pipelines means scraping at web scale with compliance and ethically-sourced IPs front of mind. How to choose proxies and scraping APIs for AI data.

ai llm dataset web-scale compliance
what the task needs
Proxy type
Residential + scraping API
Sourcing
ethical / GDPR
Pool / scale
50M+ or managed API
Geo
global
Budget
$300+ / mo

Top-6 providers for this task

PROXYDECK editorial estimate based on tests over the past 6 months. We weighed success rate on this exact target, price, use-case tolerance, and compliance.

ⓘ Connect buttons may be affiliate links: your price does not change, and commission does not affect our scores. How we earn

#1
Bright Data EDITOR PICK
Industry standard for enterprise
9.4score
$5.04 / GBprice
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#2
Apify
B2B web-scraping and browser-automation platform with the Apify Store of ready-made actors
8.3score
$49 / moprice
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#3
Zyte
All-in-one AI-driven scraping API from the maintainers of Scrapy
8.5score
$0.08 / 1k reqprice
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#4
Crawlbase
Web-scraping API with a Smart AI Proxy and cloud storage, used by 70,000+ paying customers
7.9score
$29 / moprice
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#5
Massive
Ethically sourced residential network of 1
8.4score
$8 / GBprice
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#6
SerpApi
The most established search-results scraping API — 80+ search engines behind one endpoint, with a 99
8.5score
$25 / moprice
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EDITOR'S PICK
For AI data at scale, managed scraping APIs (Zyte, Apify, Crawlbase) remove the proxy-ops burden, while Massive and Bright Data give ethically-sourced residential when you run your own crawler. Take the API route first if your team is small.

How to set up — step by step

Baseline configuration to get started right after the proxy purchase.

1. Decide: managed API vs raw proxies

If the goal is a dataset and not a crawler platform, a managed scraping API gets you there faster — it handles rotation, headless rendering and anti-bot so your team writes parsers, not infra.

2. Source ethically

Model-training provenance is under scrutiny. Use opt-in, ethically-sourced residential and keep a record of source URLs and robots.txt status per document.

3. Dedupe before you store

Web-scale crawls are 30–50% duplicate content. Hash and dedupe at ingest — it cuts storage, training noise and bandwidth spend at once.

Frequently asked questions

Questions that come up for teams working on this task.
Q.01Residential proxies or a scraping API?
+
A scraping API if you want to ship fast without managing rotation and anti-bot; raw residential if you have an engineering team and need full control over the crawler.
Q.02What about compliance?
+
Prefer ethically-sourced, opt-in networks (Massive, Infatica) and respect robots.txt and copyright — training-data provenance increasingly matters.