Unlimited traffic proxy to collect LLM training data
Overcoming LLM training data collection challenges
Massive data demand
Bypass IP blocks and CAPTCHAs
Dedicated unlimited traffic proxy
Unlimited scalability
Unlock the advantages of unlimited traffic proxy
Top IP quality
Ethically sourced infrastructure with top IPs to effortlessly overcome IP bans and complex CAPTCHA challenges to ensure uninterrupted access to any website.
Enhanced data collection and LLM training
Collect a large amount of public data with unlimited traffic for LLM model training and analysis, and obtain comprehensive and accurate data sets at a lower cost.
Any custom solution
LunaProxy's unlimited traffic proxy is designed for multi-modal training data collection such as YouTube/Github/audio, etc., and will not cause IP timeout. You can customize any of our solutions to meet specific requirements.
Meet the full-modal LLM training data collection
YouTube proxy IP
Customized exclusive proxy pool, supports 100Gbps+ bandwidth, unlimited traffic proxy to unlock YT restrictions.
Unlimited text data download
Fixed billing only by time, unlimited traffic usage, unlimited crawling of website data.
Image and audio proxy IP
Simulate real user actions to evade anti-crawling limits and quickly download multimodal data for LLM training.
Explore our compatibility with all LLM workflows
Seamless integration of unlimited traffic proxy
Explore Unlimited Proxy Pricing
Frequently asked questions
Yes. Our unlimited traffic proxies have unlimited traffic usage, unlimited IP usage, unlimited concurrency, and are an unlimited traffic proxy IP solution specifically for LLM training data collection.
Through our global dynamic IP pool rotation, we support targeted collection in different countries and regions, and automatically capture multi-language and multi-modal data. At the same time, we support mixed crawling of text, images, videos, and audio.
Data crawling (also known as web crawling) is the process of extracting data from a website. The collected data is cleaned and formatted and can be used for a variety of purposes. The most popular use cases include LLM model training, market research, content aggregation, sentiment analysis, and data mining.
