Scrapeless - LLM Chat Scraper

The Large Language Model (LLM) Chat Scraper series provides a robust method for acquiring extensive Q&A data directly from common conversational platforms. This tool captures responses precisely as they appear in the web user interface, ensuring data integrity irrespective of user login status or personalized context. This approach is critical for obtaining unbiased and representative datasets. The scraper supports a wide array of popular conversational services, including ChatGPT, Perplexity, Copilot, Gemini, and Google's conversational offering. A key feature is its ability to include web search data, providing comprehensive citation details when the conversational response incorporates external sources. This ensures a complete data picture, ideal for applications requiring source verification. Designed for researchers, data scientists, and developers, this scraper facilitates the collection of large-scale interaction data for analysis, model evaluation, and dataset generation. It's an essential resource for those building or refining conversational systems, ensuring their datasets reflect real-world user experiences and output formats.