LLM Chat Scraper — live for ChatGPT, Perplexity, Copilot, Gemini & Google AI Mode
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
We only bill for successful captures; failed/error requests are not charged
DM or comment if you want free credits to try it out
Use cases: dataset creation, model evaluation, R&D on hallucination/source tracing, trend & sentiment monitoring, prompt engineering corpora.
Happy to answer questions or share sample outputs. Leave a comment or DM for trial credits.
Replies
Nice work on this. I appreciate the emphasis on capturing what users actually see, not just theroretical outputs. That makes the data far more valuable for evaluation and hallucination analysis. Would love to explore some sample outputs.
Scrapeless
@chandrshekhar_rawen Thank you for your support!
The results we capture are the same as what you would see when querying through a real browser in a logged-out state. We support web search, and all outputs are based on actual rendered content rather than theoretical responses.
If you’re interested, you’re very welcome to register and try it out — we provide free credits for testing