Ensure stable & accurate data flow
Collecting web data at scale can be unpredictable – IP blocks, geo-restrictions, rate limiting, and other access restrictions often disrupt the flow.
Collect Web Data for AI & LLMs at Scale
High-quality web data is the backbone of AI & LLMs, but collecting such data at scale is challenging. We remove this burden by simplifying the acquisition of publicly available data.
Extract organic search results in milliseconds
Collect public video & audio data on a large scale
Get extensive, geo-targeted data from any website
Empower your AI agents with human-like browsing
At Scale. At Speed. For AI.
We unlock web data at scale so you can focus on what matters most – training your AI for accuracy and relevance.
Enable AI agents to interact with the web
AI agents must execute complex, multi-step web tasks without interruption, but modern web security and anti-bot systems often get in the way.
Fuel models with real-time data
Extracting real-time web and search data fast and on a large scale is complex, resource-intensive, and a difficult-to-maintain process.
Enhance quality through video data
AI models improve with video data, but gathering it at scale is challenging due to huge file sizes, bandwidth and speed constraints, and dynamic content.
Web intelligence solutions for AI development
From proxies and headless browsers to all-in-one scraping solutions and datasets, Oxylabs provides the full-scale infrastructure needed for seamless data collection.
Datacenter Proxies
Fast and cost-effective for large-scale scraping on simple websites.
99.9% success rate
Unlimited bandwidth with fair usage policy
Semi-dedicated or fully dedicated IPs
Residential Proxies
Geo-precise scraping from sites with strict anti-bot controls.
175M+ residential IPs
195+ countries
0.41s response time
ISP Proxies
Stable, unlimited-duration sessions with predictable performance.
Premium ASN providers
Unlimited bandwidth with fair usage policy
Semi-dedicated or fully dedicated IPs
High-Bandwidth Proxies
Ultra-high download capacity for uninterrupted, large-scale video data collection.
200+ Gbps download capacity
Dedicated bandwidth setups
Persistent connections
Tell us your data challenges. We’ll find the solution.
Advanced headless browser for human-like web actions
An anti-bot Headless Browser (Beta) for AI agents, automation, and advanced scraping.
Let AI agents click through multi-page content, fill forms, extract structured data from dynamic websites, and more
Integrate easily with popular libraries, browsers, and MCP clients
Leave the maintenance for us and focus on your goals
Model Context Protocol (MCP) integration with Web Scraper API
MCP integration with Web Scraper API delivers structured, AI-ready web data with proper context, metadata, and well-formatted instructions, making it easy for LLMs to use effectively.
Get real-time search, web & video data
Web Intelligence Index
Enterprise-grade search index – no blocks, no latency, just clean and fresh public data.
Get 24/7 AI-ready cached data in milliseconds
Trigger live scraping for low-confidence results
Access fully compliant, certified, and secure infrastructure
Fast Search API
The fastest in the market, dedicated solution to get search results at scale.
Collect search results in sub-second
Guaranteed zero data retention
High-volume querying with high-throughput support
Web Scraper API
An all-in-one, powerful, large-scale web data gathering solution.
Gather real-time web data at speed
Avoid CAPTCHAs and IP blocks
Get information delivered in raw HTML, structured JSON, Markdown, or XHR outputs
Video Data API
Advanced scraper for high-volume video data extraction with native cloud/OSS support.
Download video and audio data at speed
Get channel data and video transcripts and subtitles
Enrich results with metadata
What do our clients say?
"We've been using Oxylabs proxies for almost four years now, and honestly, they’ve been rock solid the whole time. The service has been smooth, fast, and incredibly reliable — failures were so rare they were basically a non-issue. [...]"
Oleksii V.
Director of Engineering
Ready-to-use datasets, tailored to your needs
Custom Datasets
From any website to a dataset built for you. Reach out to our sales team, discuss your needs, and we’ll deliver a solution crafted to your project.
Video Datasets
Creator-approved, scalable, and ethical video datasets for enhancing AI output. Get a ready-to-use collection of video IDs, metadata, transcripts, and video/audio data.
Certified data centers and upstream providers
All of our products are insured
All of our products are covered by Technology Errors & Omissions (Technology E&O) and Cyber Insurance.
Scale up your business with Oxylabs
Frequently asked questions
What is training data in AI?
AI training data is the material used to train machine learning models. It's the foundation of any AI model. After studying such data, an AI model can recognize patterns and make predictions.
The quality and quantity of AI training data directly impact the model's performance and accuracy. Properly curated and labeled AI training data helps build reliable systems.
Where to get training data for AI?
AI training requires large volumes of data, disqualifying the traditional hands-on data acquisition methods. Here are the four ways you can source AI training data for machine learning:
Scraping web data with automated means from public websites.
Acquiring AI training datasets from third-party providers.
Generating synthetic training data using graphics engines.
Partnering with businesses willing to share their proprietary data.
See this article about the main public data sources for LLM training to learn more on this topic as well as take a look into what is LLM. You can also use already pre-trained LLMs, such as GPT-4.5 and similar, allowing you to save time and resources. See this CrewAI and Web Scraper API integration to see how you can easily build your own AI agents, and check out our tutorial on how to scrape Google AI Mode.
How much training data does AI need?
The actual data volumes for machine learning are highly dependent on the specific use case. The best approach is to start with existing benchmarks and gradually scale up as necessary.
Generally, you can try to predict your AI training data needs.
Small models (simple tasks): 100s to 1,000s of examples:
Spam filters
Website guidance (recommendations)
Voice assistants
Medium models (moderately complex tasks): 10,000s to 100,000s of examples:
Natural language processing (chatbots)
Facial recognition for smartphones
Translators
Large models (highly complex tasks): millions of examples:
Generative AI
Autonomous driving
Robotics
What format is AI training data?
With Oxylabs solutions, you get collected data in either structured JSON or raw HTML format. For datasets, we provide AI training data in the format of your choice.
To learn how this data is used to teach AI models, see our guide on how to train AI models or how to build an AI scraper with DeepSeek and Crawl4AI.
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