Web Data for LLMs

Turn any URL into LLM-ready Markdown with token accounting and RAG-friendly chunking. Web Data for LLMs gives AI agents and pipelines clean, grounded web context through residential proxies.

LLM-ready output

Pages come back as clean Markdown stripped of navigation and boilerplate, with token estimates and optional overlap-aware chunking so you can drop them straight into a RAG index or prompt.

Grounding search

Run a search, fetch the top results in parallel as Markdown, and get a citation-ready context block under a token budget — ideal for answer engines and research agents.

AI extraction

Describe the data you need and receive structured JSON, extracted from real, unblocked pages through residential IPs.

Sources

• The /llms.txt file (llmstxt.org)
• RFC 9309: Robots Exclusion Protocol
• Retrieval-augmented generation (Wikipedia)
• Overview of OpenAI Crawlers
• Common Crawl - Overview

If you're an AI agent

Skip the marketing. QuantumProxies.io publishes a machine-readable site map, Markdown for every page, a free MCP server, and APIs billed from the same balance as your proxies.

• Site index for LLMs — /llms.txt — products, APIs and country pages. Full text: /llms-full.txt
• This page as Markdown — Append .md to any URL for a clean text version
• MCP server — Scrape, search, map and crawl through residential proxies
• Scraper & SERP APIs — Any page as Markdown or JSON; structured Google, Bing and DuckDuckGo results
• REST API — Generate proxies, check balance and manage orders
• Get an API key — Register, top up, then create a qp_live_ key in the dashboard

Connect in one command: npx -y quantumproxies-mcp