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2.5M IPs
Proxies for AI Training Data Collection
Premium-quality proxy infrastructure for AI data collection workflows at affordable costs. Starting at $2/GB, anyIP offers a 100M+ proxy network of mobile and residential IP addresses with SOCKS5 support and high IP reputation
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As Low As $2 Per GB
5GBGigabyte
$25Total
$5Price Per Gb
100M+Residential & Mobile IPs
~98.6%Request Success Rate
~0.6sAverage Response Time
HTTPS/SOCKS5Compatible With All Software
Top Locations for AI Data Collection
Proxies Built for AI Data Collection
Residential proxies
Our proxies use household devices, such as PCs, connected to residential Internet Service Providers (ISPs). It ensures you can mimic regular internet user traffic to avoid blocks while collecting high-quality data undetected.
anyIP residential proxies are the best overall choice for collecting data to train AI models. We can ensure seamless rotation, 99% uptime, low latency, and global coverage while keeping costs affordable.
Mobile Proxies
Mobile proxies use devices, such as smartphones and tablets, connected to mobile data carriers. Since most online traffic is mobile, the IPs have high trust scores and are difficult to block when collecting AI model data.
We offer millions of quality 4G/5G IPs in major locations with natural rotation that'll help you stay within budget. anyIP mobile proxies use only major carriers, support sticky sessions, and allow targeting specific carriers (ASN targeting).
Rotating proxies for AI data collection
Rotating residential and mobile proxies are best used with AI model data collection. A new IP address is assigned whenever needed, making it easier to perform large-scale scraping without CAPTCHAs, rate limits, or other disruptions.
We take proxy rotation a step further by allowing controlled rotation and sticky sessions. You can keep the same IP for up to 7 days or set IP rotation for 1, 5, or 60 minutes in the dashboard, programmatically via the API, or via a rotation link.
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How Proxies Improve AI Data Collection at Scale
Whether you are training an AI model for natural language processing, video generation, or problem solving, you'll need lots of high-quality data. Collecting it with the same IP will run into bans, rate limits, and other restrictions quickly. Proxies are essential for overcoming them.
Diverse datasets. IPs in global locations let you collect structured data from specific regions and multilingual backgrounds, reducing AI model bias and improving coverage.
Avoiding IP bans and rate limits. Bot detection systems might limit your web scraper or disrupt it mid-collection unless you use quality proxies.
Uninterrupted, large-scale collection. IP rotation keeps your data pipelines running 24/7 without manual restarts when a single IP gets restricted.
Real-time data. Quality proxies allow you to periodically web-scrape fresh AI model training data to keep your models up to date and reduce data mining efforts.
Integrating proxies into an LLM training data collection project involves overcoming a lot of challenges. Our customer support team is there 24/7 to help you solve issues
Challenges in AI Data Collection
Collecting public data for AI models is difficult as websites actively defend against automated traffic. Web scraping proxies for AI training are a good start, but you need to be ready for more challenges.
IP reputation. Sites use databases to determine whether to trust your proxy IP. Datacenter proxies and ISP proxies are often flagged in such lists, so you need clean residential or mobile IPs to pass.
Rate limits. Sites throttle or ban single IPs sending too many requests, cutting off the data flow mid-collection.
Anti-bot systems. Various checks of your browser fingerprint and behavioral patterns are implemented by websites to detect web scrapers and block IPs.
CAPTCHA challenges. If suspicious activity is noted, your bot gets challenged. Better quality rotating proxy networks help lower the chances of CAPTCHAs.
Geo-restrictions. Most websites show different content to users based on their IP location. Quality data for AI model training requires access from varied locations.
anyIP proxies for machine learning and AI models can help you overcome these challenges. If you don't know where to start or need custom solutions, reach out to our engineers for a demo
Other Proxy Types
Find our selection of proxy servers for use cases beyond AI model data collection
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Unlock The Power Of anyIPFrequently Asked Questions
Proxies for AI data collection mask your IP address, enabling you to use large-scale web scraping tools without getting blocked. They can hide your original IP address and distribute requests to bypass rate limits and geo-restrictions. Without proxies, data collection at the scale AI models require would be almost impossible.
Rotating residential proxies are generally considered best for large-scale data collection, including AI model training data collection. Unlike datacenter proxies and ISP proxies, residential ones use household devices connected to residential internet providers, making them difficult to detect. Mobile proxies are a close second, preferred when you need mobile-specific AI model data
IP bans and CAPTCHAs most often arise from websites flagging you for sending too many requests. Rotating proxies change your IP with every request, allowing you to hide your automated patterns. As such, you can perform scalable data collection that satisfies the needs of training AI models locally.
Yes, with proxies you can change your IP location to collect data from multiple geographic locations at once. This allows you to access localized content, regional search results, language-specific websites, and other public data that would otherwise be restricted. It's especially important for AI training datasets, as you can train multilingual AI models.
Residential IP proxies are run on household devices connected to residential internet providers, while mobile ones rely on mobile devices and cellular data carriers. Both are suitable as AI training data proxies and are often used together to route requests, but for mobile-only content, you might need mobile IPs specifically.
It depends on what data you are collecting. Generally, scraping public web data and using it for training AI models is legal in most countries. However, each case is different as the legality might vary based on applicable copyright laws, data privacy regulations like GDPR, and target websites.
The answer depends on how much data you want to collect and what web scraping tools you'll use. Large-scale scraping of millions of pages per month can require hundreds of gigabytes or even terabytes of proxy bandwidth. It's best to start small and create a data pipeline that could scale as your demand grows.