AI & LLM Data

Proxies for AI, web data for training at scale

Feed your models clean, large-scale web data. Rotating residential, datacenter, mobile and IPv6 proxies across a 100M+ IP pool, built for AI training pipelines, LLM scraping, and autonomous agents that do not get blocked. No enterprise minimums, no sales calls.

100M+ IPs   New IP per request   Sticky sessions for agents

100M+IP Pool
195+Countries
1 / requestIP Rotation
HTTPS / SOCKS5Protocols
Training-data collection AI agent support Global geo coverage Instant API access No enterprise minimums
Why our proxies for AI

Built for AI data pipelines

The web is the largest training corpus there is. Collect it at scale without getting blocked, rate-limited, or geo-fenced.

Data at scale

Pull millions of pages for training sets and embeddings. A fresh IP per request keeps large crawls from tripping rate limits.

Get past anti-bot

Residential and mobile IPs look like real users, so protected sources that block datacenter traffic stay open to your crawlers.

Localized data

Target by country and city to gather region-specific language, pricing and content for multilingual and geo-aware models.

Agent-ready sessions

Sticky sessions hold one IP across a multi-step agent task, while rotating IPs isolate parallel jobs. Both in one plan.

Every proxy type

Residential, datacenter, mobile and IPv6 from a single 100M+ pool. Match the proxy to the source without switching vendors.

Drop-in API

One gateway endpoint over HTTPS and SOCKS5 plugs into your existing crawler, pipeline, or rotating proxy API in minutes.

Collect training data for AI and LLMs

Large language models and machine learning systems are only as good as the data behind them. Building a quality corpus means crawling huge numbers of pages across many sites, and most sources throttle or block repeated requests from a single IP. Routing your collection through a 100M+ pool with a new IP per request lets you gather training data at the volume modern models need, without the blocks that stall a single-IP crawler.

Web scraping for AI, without the blocks

Whether you are assembling a fine-tuning set, refreshing a retrieval-augmented generation (RAG) index, or scraping real-time content for a search feature, the bottleneck is almost always access, not parsing. Our rotating proxies spread your requests across residential, datacenter, mobile and IPv6 IPs so protected and rate-limited sources stay reachable at scale. Pick datacenter for high-volume public data, residential or mobile for sources that block bots.

Proxies for AI agents

Autonomous agents browse, log in, and complete multi-step tasks, and they need IP behavior that matches. Use sticky sessions to keep the same IP across a single agent workflow so context and logins hold, and rotating IPs to isolate independent agents running in parallel. This rotating-plus-sticky split, in one plan, is what makes a proxy network practical for agentic and MCP-driven workflows rather than just bulk scraping.

Proxies for machine learning datasets

Beyond text, teams collect images, prices, reviews, listings and structured data to build and benchmark models. The same gateway handles it: target the right country, choose the proxy type that fits the source, and let rotation keep large jobs running. From indie builders to ML teams priced out of enterprise contracts, you get the scale without a $500 minimum or a sales call.

Pick the right type

Which proxy type for which AI job

All four types come in one plan, so you can match the proxy to the data source.

AI jobBest proxy typeWhy
High-volume public dataDatacenterFastest and most cost-efficient for sources that do not hard-block bots.
Protected / bot-blocking sitesResidentialReal home IPs pass anti-bot checks that reject datacenter traffic.
Highest-trust sources & appsMobileCarrier IPs are the hardest to detect, ideal for the toughest targets.
Bulk, cost-sensitive crawlingIPv6Massive address space at the lowest cost for high-volume jobs.
Multi-step AI agentsStickyOne stable IP per agent workflow keeps logins and context intact.
FAQ

Proxies for AI FAQ

Why do I need proxies to collect AI training data?
Building a training set means crawling large numbers of pages, and most sites rate-limit or block repeated requests from one IP. Routing through a 100M+ pool with a new IP per request lets you collect data at the volume models need without getting blocked.
Which proxy type is best for AI and LLM scraping?
Use datacenter for high-volume public data, residential or mobile for sources that block bots, and IPv6 for bulk, cost-sensitive jobs. All four come in one plan so you can match the proxy to the source. See our rotating proxies.
Can I use these proxies for AI agents?
Yes. Use sticky sessions to hold one IP across a multi-step agent task so logins and context persist, and rotating IPs to isolate parallel agents. Both are included, which makes the network practical for agentic and MCP-driven workflows.
How do I connect this to my crawler or pipeline?
Point your tool at one gateway endpoint over HTTPS or SOCKS5 with your credentials. It works with cURL, Python, Scrapy, Playwright and more. See the rotating proxy API for setup.
Do you have enterprise minimums for AI workloads?
No. Plans start at $24.95/mo with no enterprise contracts or minimums, so indie builders and ML teams can scale data collection without a sales call. See pricing.
Is web scraping for AI training legal?
Collecting publicly available data is widely practiced, but you are responsible for complying with each site's terms, robots directives, copyright, and applicable law. Use proxies responsibly and within the rules of the sources you access.
How much data does training an LLM actually require?
Frontier models train on hundreds of billions to trillions of tokens, while a focused fine-tune for a niche domain needs far less. Either way the bottleneck is collecting it without being blocked, which a 100M+ pool with a fresh IP per request solves. See our rotating proxies.
Can I collect multilingual or region-specific data for AI?
Yes. Country and city targeting across 195+ countries lets you gather localized and multilingual text as a real user in each market, so your dataset is not skewed to one region. Residential IPs reach sources that block server ranges.
Can proxies keep AI training data fresh over time?
Yes. Because the gateway handles rotation, you can re-crawl the same sources on a schedule to refresh datasets without one IP being rate-limited, which keeps a model's knowledge current rather than frozen at one snapshot.

Feed your models the whole web

Collect AI and LLM training data at scale with rotating and sticky proxies from a 100M+ pool. Residential, datacenter, mobile and IPv6, from $24.95/mo.

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