oxylabs/chatgpt-scraper

What it solves

This project provides a way to programmatically collect responses and metadata from ChatGPT. It eliminates the need for developers to manage complex infrastructure like proxies, IP rotation, and CAPTCHAs, which are typically required to scrape AI chatbot interfaces.

How it works

The tool is an API-based scraper that sends prompts to ChatGPT and returns the results in structured formats. Users make a POST request to the Oxylabs Web Scraper API with a prompt and their credentials. The API handles the browser emulation, geo-targeting, and parsing of the response into JSON or Markdown, including details like the specific LLM model used, citations, search queries, and any shopping products or ads appearing in the response.

Who it’s for

• Developers building AI training datasets by collecting real-world conversational data.
• SEO and Marketing teams monitoring brand presence and competitor keywords within AI-generated responses.
• Data analysts analyzing AI response patterns and patterns of citations.

Highlights

• Structured Data Output: Returns parsed JSON or Markdown, including citations, search queries, and inline links.
• Infrastructure Management: Automatically handles proxy management, IP rotation, and bot detection systems.
• Geo-Targeting: Allows users to route requests from specific countries to retrieve localized responses.
• Custom Browser Instructions: Supports headless browser emulation to mimic real user behavior.