AI data collection

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.

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

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

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

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

• Test endpoints in Postman and production scripts in Python