AI data collection
Use CyberYozh proxies for a variety of workflows and use cases related to AI agent training and data collection. Access local services without restrictions, use the open-source Yozh Scraper to get data from there, and train AI agents using clean IPs for predictable results.
Why do you need proxies for AI agent management and AI data
AI agent training and AI data collection require a clean, predictable connection you can control and direct. If the agent has to train on specific local data, you need the IP of the country or city where that data is located; otherwise, you may get broken data.
Without a clean, geo-targeted IP, AI agents can:
behave uncontrollably and unpredictably
produce unpredictable results
face CAPTCHAs and local restrictions
get broken sessions or broken data
fail to log in or authenticate
That’s where CyberYozh proxy infrastructure helps.
CyberYozh includes:
mobile proxies for secure authentication and social data collection
residential proxies for fast geo-targeted access and automation
virtual numbers for authentication and virtual cards for payments
quality checks for all instruments before you deploy them
Yozh Scraper to collect data and train agents without issues
CyberYozh API to automate all its processes.
To obtain clean data for your agents, you must appear to be a regular user from a regular country, while respecting the website’s robots.txt to avoid issues. If the data is stored in a local service and database, accessing it via a clean local IP helps you avoid data distortion and restrictions. Moreover, AI agents must be directed via predictable connection endpoints to control their behavior.
Collect AI data with proxy infrastructure easily
Training jobs stop when one IP is blocked. Send each crawl through rotating, residential, mobile, or datacenter proxies. Start collecting public AI data now.
Access 195+ countries for local AI data
A model trained in one country learns the wrong prices, language, and search results. Collect local pages from almost every country. Get local data today.
Launch multiple agentic workflows at once
One shared IP cannot run many AI agents together. Give each workflow its own address. Hit 99.95% success and launch more agents now.
Deploy Yozh Scraper and integrate with other tools
Copying pages by hand cannot fill training or RAG pipelines. Run Yozh Scraper and connect Playwright, Python, and the API. Deploy AI data collection pipelines.
Ensure high IP quality and use virtual numbers
Bad IPs and failed SMS block account collection. Check IP, number, and card quality, then verify with a virtual number. Start with clean assets.
Use antidetect browsers for secure agent training
Shared browser traces expose training agents. Combine proxies with antidetect browsers and cloud phones for network fingerprint isolation. Train each agent apart.
Efficiency
Use cases
Text dataset collection. Articles, news, blogs, forums, and reviews.
Data collection for NLP models. Natural dialogues, comments, localized content, and user responses.
Image and media datasets. Scraping photos, videos, product cards, object images, UI elements, and more.
Training recommendation systems. Collecting data on products, user interactions, demand dynamics, and ratings.
Datasets for computer vision models. Images of objects, locations, documents, packaging, menus, and product categories.
User behavior analytics. Collecting anonymized behavior patterns, clicks, views, and interests.
Geodata and mapping datasets. Collecting locations, POIs, infrastructure, routes, and schedules.
Multilingual datasets. Using IPs from different countries to collect data in the corresponding languages.
Choose the right location for your proxy
Access mobile and residential proxies across key markets worldwide. Select the country that matches your target region, check available options, and start with the proxy type that fits your task.
Use CyberYozh proxy infrastructure to facilitate AI data collection
Collect public web data for AI agents, RAG pipelines, MCP servers, and agent research with CyberYozh proxy infrastructure. Route collection jobs through location-aware IPs, keep sessions stable, and feed Playwright, Scrapy, and browser agents without concentrating traffic on one network identity.
Explore AI data proxies of CyberYozh, see how they work, and when you have to deploy them.
Rotating proxies for agent control, data collection, and training
Rotating residential proxies spread high-volume public-web collection across a 100M+ IP pool so crawlers stay under rate limits. They are the default for basic AI data collection and AI scraping APIs.
Refresh RAG sources on public docs, catalogs, and help centers
Schedule recrawls without pinning one IP to a single knowledge base
Keep web scraping jobs inside published rate limits
Assemble AI training data and LLM data collection
Rotate per request across 195+ countries for multilingual public text
Collect reviews, listings, and competitor pages for model features
Control agent loops that retry after 429 or CAPTCHA responses
Keep a short sticky window only when pagination needs continuity
Control CyberYozh’s rotating proxies right from your dashboard, with full session control, traffic management, and IP quality filtering
Mobile proxies for social data collection and agent authentication
Mobile proxies use real LTE/5G carrier IPs, so trust-sensitive platforms treat collection traffic as closer to smartphone users. Deploy them for agent authentication, social data collection, and payment-gated public checks.
Authenticate AI agents and scraper accounts where carrier reputation matters
Pass SMS and anti-fraud checks before a dataset build starts
Isolate each agent on a dedicated mobile channel
Collect public social, forum, and lead-intent text for conversational models
Pull localized feeds that differ on mobile layouts
Pair exits with antidetect browsers and cloud phones
Complete local preview or payment steps that reject datacenter range
Learn more about mobile proxies for AI and get them now if you need them.
Residential proxies for long-term AI agent presence
Residential proxies give stable ISP-backed IPs for multi-step and logged-in collection. Use mobile for authentications, rotating residential for bulk crawls, and static residential for long-term agent presence, localized data collection, and SERP data.
Keep Browser Use agents on one geo through multi-step public research
Preserve cookies, language, and city context across page actions
Recrawl the same sources for RAG freshness without swapping identity mid-session
Monitor public storefronts, lead lists, and local search results
Match city- or ZIP-level SERPs to the market the model must evaluate
Assign one residential IP per long-running evaluation job
Learn when you need residential proxies for AI and get them now if needed.
Datacenter proxies for testing and monitoring
Datacenter proxies are fast and inexpensive for open APIs, public datasets, and staging. Use them to test agents and monitor lightly protected sources, not trust-sensitive logins.
Test routing for agents
Smoke-test scrapers before moving the same job onto residential or mobile exits
Run AI price monitoring against open catalogs and APIs
Pull GitHub, package registries, and public documentation at high QPS
Load-test web automation pipelines in staging without burning residential traffic
CyberYozh infrastructure for AI agents
Learn how CyberYozh instruments direct, control, and quality-check AI agent workflows for OpenAI, Claude, Gemini, Perplexity, Midjourney, DeepSeek, and similar stacks.
Virtual number for AI agent authentications on platforms
A virtual number completes SMS verification so collection accounts and agents can access public, login-gated sources without personal SIMs.
Verify scraper and research accounts in the same geo as the proxy
Keep one number per agent identity during dataset builds
Virtual card for payments in local currencies
A virtual card pays for regional SaaS, data tools, and preview flows in local currency without mixing personal banking into pipelines.
Isolate spend per agent or collection project
Complete paid tool or public-data checkouts required by a workflow
Yozh Scraper to collect AI data and automate agents
Yozh Scraper is an open-source, Docker-based scraper that routes Playwright jobs through CyberYozh proxies and returns HTML, fields, or screenshots for RAG and training.
Run preset crawls and MCP jobs on rotating, mobile, or datacenter exits
Checker tools to ensure high quality of everything above
CyberYozh checkers score IPs, numbers, and cards before a run so flagged assets never enter a production collection job.
Pre-filter exits with Fraud Score before a corpus crawl
Validate SMS and card assets used in agent authentication
Automation infrastructure from CyberYozh
Use the automation API to provision, rotate, and renew proxies inside collection pipelines.
Drive Playwright, Selenium, and Puppeteer agents with per-context exits
Visit CyberYozh's API documentation to learn how to work with its API calls for AI agents.