AI Training Data Proxies

Gather public text, images and video for model training from residential exits in each language market, on sessions you control.

  • 100M+active residential IPs
  • 195+countries and regions
  • 3protocols: HTTP, HTTPS, SOCKS5

Common platforms and tools

  • Python
  • HTTPX
  • Scrapy
  • Playwright
  • Trafilatura
  • Hugging Face
  • Apache Spark
  • Ray
  • Airflow
  • Parquet
  • WARC
  • JSONL

Where training-data pipelines get stuck

Exits become the bottleneck at scale

Corpora run to tens of millions of pages. A few cloud-server IPs can't carry that, 429s pile up and incremental refreshes keep slipping.

The data ends up in one language

Multilingual models need original text from local sites. Visit from one place and many sites serve only their international or English edition.

Media downloads inflate the bill

A multimodal batch can mean terabytes of downloads, and per-GB billing makes that hard to budget.

Multi-step pages lose their exit midway

Paged comments and filtered lists take several requests to read through; if the exit changes halfway, the pages stop lining up.

AI data collection on NexIP: clean exits, sessions you control

A 100M+ residential proxy pool

Exits come from real home broadband in 195+ countries and regions, so crawl load spreads across the whole pool instead of a few servers.

Exits matched to each language market

Pull English text through US or UK exits, Japanese through Japan and German through Germany; in the US you can go down to 36 states and 112 cities.

Rotating residential proxy or sticky session

Unrelated pages take a fresh exit on every request; paged comments and filtered lists hold one IP with a sticky session until they are read through.

Unlimited concurrency for crawl clusters

Dynamic residential plans don't cap concurrent connections, so add workers freely and set the pace by what each target site can handle.

Text per GB, media by bandwidth

Text suits the Traffic plan (From $0.8/GB), whose packs don't expire; terabyte-scale image, audio and video downloads suit Bandwidth plans with 100Mbps–1Gbps dedicated and no traffic cap under fair use.

Plugs into the crawler you already run

HTTP, HTTPS and SOCKS5 with username-and-password or IP-allowlist auth, so Scrapy, HTTPX, Playwright or an in-house crawler needs only its proxy setting changed.

How to collect data for AI through NexIP

After purchase you get a connection address and port to put in place of the placeholders. Confirm the exit with cURL, fetch text concurrently with HTTPX, and hand whole-site crawls to Scrapy.

Protocols
HTTP · HTTPS · SOCKS5
Auth
Username and password · IP allowlist
Concurrency
Unlimited concurrency on dynamic residential
Targeting
Country · city · ASN (subject to availability)

GATEWAY, PORT, USER and PASS are placeholders: swap in the connection details you get after purchase. IP-allowlist auth needs no USER or PASS.

cURL: confirm the exit before a run

-x sets the proxy and -I fetches headers only, enough to confirm the connection and auth work. socks5h:// uses SOCKS5 with hostnames resolved by the proxy; with IP-allowlist auth, drop USER:PASS@.

# Check connectivity and auth, headers only
curl -I -x http://USER:PASS@GATEWAY:PORT https://example.com/

# SOCKS5, hostnames resolved by the proxy
curl -I -x socks5h://USER:PASS@GATEWAY:PORT https://example.com/

Python HTTPX: fetch text concurrently

AsyncClient takes the proxy argument (HTTPX 0.26+); the Semaphore caps requests in flight, so tune it to what the target site can take. Name your crawler and a contact in the User-Agent so site owners can identify it.

import asyncio

import httpx

PROXY = "http://USER:PASS@GATEWAY:PORT"
UA = "ExampleCorpusBot/1.0 (+https://example.com/bot)"
URLS = ["https://example.com/a", "https://example.com/b"]


async def fetch(client, sem, url):
    async with sem:
        r = await client.get(url, timeout=30)
        return url, r.status_code, len(r.text)


async def main():
    sem = asyncio.Semaphore(8)
    client = httpx.AsyncClient(proxy=PROXY, headers={"User-Agent": UA})
    async with client:
        jobs = [fetch(client, sem, u) for u in URLS]
        for row in await asyncio.gather(*jobs):
            print(row)


asyncio.run(main())

Scrapy: crawl a whole site for text

Follows in-site links and collects body text, with proxy set in each request's meta. ROBOTSTXT_OBEY stays on, AutoThrottle sets the pace and DEPTH_LIMIT bounds the crawl; async def start() needs Scrapy 2.13+.

import scrapy

PROXY = "http://USER:PASS@GATEWAY:PORT"


class CorpusSpider(scrapy.Spider):
    name = "corpus"
    allowed_domains = ["example.com"]
    custom_settings = {
        "ROBOTSTXT_OBEY": True,
        "AUTOTHROTTLE_ENABLED": True,
        "DEPTH_LIMIT": 3,
    }

    async def start(self):
        url = "https://example.com/"
        yield scrapy.Request(url, meta={"proxy": PROXY})

    def parse(self, response):
        text = " ".join(response.css("p::text").getall())
        yield {"url": response.url, "text": text}
        for href in response.css("a::attr(href)").getall():
            yield response.follow(href, meta={"proxy": PROXY})

Which IP plan fits each data type?

Text and multilingual corpora run on a residential proxy pool billed per GB; steady media downloads move to bandwidth; data feeds that register your source IP take a static IP.

Recommended

Dynamic residential · Traffic

Multilingual text and incremental refreshes

Billed per GB with unlimited concurrency and country targeting for each language; packs don't expire, which suits corpus work that moves in batches.

From $0.8/GB

Learn more · Dynamic residential · Traffic

Dynamic residential · Bandwidth

Images, audio and video at volume

30-day terms with 100Mbps–1Gbps dedicated and no traffic cap under fair use, so terabyte downloads cost a fixed amount. Sources in the US, UK, Germany, France, Japan and South Korea need Flagship.

100Mbps / $980/30 days

Learn more · Dynamic residential · Bandwidth

Datacenter IP

Licensed feeds and mirror downloads

When a licensed data source asks you to register a source IP, give it a dedicated datacenter IP: the address stays fixed for the lease and large files cost less to pull.

$3/IP/month

Learn more · Datacenter IP

Static residential · Short-term

Spot checks before cleaning

When someone needs to review a sample of source pages before ingestion, use short-term IPs: dedicated for 1–24 hours, sold in IP packs that don't expire.

From $0.17/IP

Learn more · Static residential · Short-term

AI training data collection FAQ

Common sources are public web pages, open datasets, licensed data and synthetic data. Proxies serve the public-web part: your crawler's requests leave from residential networks in the matching language market, which spreads load and returns the local edition of each page. Licensed data and anything behind a login go through official APIs or data partnerships.

Text pages are small, so the per-GB Traffic plan (From $0.8/GB) usually covers them, and its packs don't expire. For large volumes of images, audio, video or PDFs, a Bandwidth plan (100Mbps / $980/30 days, Basic) keeps costs predictable. Run a sample batch on a small pack first and decide from the real volume.

Follow robots.txt and the site's terms, since many sites state separately whether crawling for AI training is allowed. Name your crawler and a contact in the User-Agent, keep the rate moderate, and strip personal data before ingestion. A proxy only decides where requests come from; it doesn't change what a site permits, so ask a lawyer about your specific project.

News, forum and encyclopedia pages written for ordinary readers fit residential IPs, which return the version local readers get. Open data APIs, mirrors and large file downloads suit a dedicated datacenter IP, with high throughput at a lower price.

Use them for content that takes several requests to read: paged comments, filtered lists and pages you reach after choosing a language. A sticky session keeps that run of requests on one exit, while unrelated pages still rotate on every request.

Dynamic residential plans don't cap concurrency, so the limit is usually the target site. Set a per-domain cap and interval, back off as Retry-After says when you see a 429, and run a small trial before scaling the cluster once the data looks right.

Yes. It speaks HTTP, HTTPS and SOCKS5 with username-and-password or IP-allowlist auth; give every worker the same connection address and port, and NexIP handles exit rotation, so there's no IP list to maintain.

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