Scrapeless - LLM Chat Scraper – Captures real front-end LLM responses with source citations

Summary: Scrapeless LLM Chat Scraper collects large-scale question-and-answer data by capturing actual responses from LLM web interfaces, including ChatGPT, Gemini, and Perplexity. It extracts front-end outputs unaffected by user login or context and includes web search citations when models reference sources.

What it does

It scrapes exact answers displayed in LLM web UIs across multiple platforms without requiring login or user context, providing real user-facing data and citation details when available.

Who it's for

Teams needing accurate, scalable data on LLM outputs as seen by users in web interfaces for analysis or development purposes.

Why it matters

It solves the gap where official APIs do not reflect actual UI responses, enabling reliable capture of real user-visible LLM answers and source references.