Scrapeless powers AI agents, automation workflows, and data extraction with browser-tool infrastructure.
This is the 5th launch from Scrapeless. View more
Scrapeless - LLM Chat Scraper
Hey everyone — we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the web UI, this might help:
- Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode
- Captures front-end (web UI) responses — unaffected by logged-in context/state
- Web search support included so you get full citation data when the model references sources
Free Options
Launch Team
Scrapeless
👋 Hey Everyone! I’m the founder of Scrapeless.
We built LLM Chat Scraper because teams kept asking a simple question:
“What answers are users actually seeing in ChatGPT, Gemini, or Perplexity?”
Official APIs don’t show the real UI outputs, and manual testing doesn’t scale.
So we built a scraper that captures exact front-end responses, including search citations, with no login and no context bleed.
What it supports:
• ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode & Grok
• Real UI answers, not API approximations
• Source citations when models reference the web
• Fair billing: we only charge for successful captures
We’re actively iterating and would love to hear how you’d use it —
feedback (good or brutal 😄) is very welcome.