Detailed Introduction
Google AI Mode Scraper (by Oxylabs) is a solution for scraping and parsing Google AI Mode responses at scale. It lets you submit prompts and receive structured outputs (HTML/Markdown/JSON) while Oxylabs handles proxies, IP rotation, anti-bot measures, and geo-targeting. The repository contains examples showing how to call the Web Scraper API with source: google_ai_mode and obtain parsed results, making it suitable for building datasets or automating AI-driven search analysis.
Main Features
- Parse Google AI Mode responses into JSON, Markdown, or HTML with citation and link metadata.
- Enterprise scraping capabilities: proxying, CAPTCHA handling, and geo-targeted queries.
- Language examples and quickstart snippets (Python) for fast integration and batch processing.
- Rich output fields (citations, links, response_text, parse_status_code) designed for downstream automation.
Use Cases
Use cases include monitoring AI search appearances for brand or SEO analysis, generating training datasets from real-world AI responses, localized content research, and automated content auditing. Teams that prefer not to manage scraping infrastructure can rely on Oxylabs’ hosted platform for reliability and scale.
Technical Features
Typical usage posts a payload to Oxylabs’ realtime queries endpoint with source: google_ai_mode, render: html and parse: true. The project provides code samples (Python) and output examples; the backend leverages headless rendering and Oxylabs’ proxy infrastructure to deliver stable, production-ready scraping.