Open-Source Tool Combines Anti-Detection Tricks for Bulk Google Image Scraping

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An open-source project called Universal Google Image Bulk Downloader Pro, developed by GitHub user hariompatel61, is designed to download large batches of images from Google without triggering anti-bot blocks. The tool uses an undetected Chrome browser instance and stores session cookies locally so that once a CAPTCHA is solved manually, future runs reuse the trusted session. Searches are executed in two tiers, first targeting reputable stock photo sites like Unsplash and Pexels, then falling back to general Google Images with configurable negative filters to improve result quality. All scraping behavior is defined through a config.json file, allowing multiple independent jobs with different search strategies to run in a single execution. Built-in randomized delays and a resume mechanism that skips already-downloaded files round out the architecture, making interrupted large-scale jobs easier to manage.

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