oxylabs/google-ai-mode-scraper

What it solves

This project provides a way to programmatically extract responses from Google AI Mode at scale. It removes the technical hurdles of web scraping, such as managing proxies, rotating IPs, and handling CAPTCHAs, which typically block automated requests to Google.

How it works

Users send a POST request containing a prompt (up to 400 characters) and authentication credentials to the Oxylabs Web Scraper API. The API handles the headless browser simulation and request management, then returns the AI's response, citations, and referenced links in a structured JSON or Markdown format.

Who it’s for

• SEO and GEO professionals looking to monitor brand visibility and optimize content for AI-driven search results.
• AI researchers and developers needing to build high-quality training datasets from real-world AI responses.
• Data analysts performing large-scale data extraction from AI search interfaces.

Highlights

• Managed Infrastructure: Handles IP rotation, proxies, and CAPTCHA solving automatically.
• Structured Data: Returns parsed results including the full response text, citations, and external links.
• Geo-Targeting: Allows users to specify a country to get localized AI responses.
• Multiple Output Formats: Supports both JSON and Markdown for easier integration with other AI tools.