Scrapeless Weekly Changelog: July 13–19, 2026 Updates
Web Data Collection Specialist
TL;DR:
- The official Amazon Scraper repository is now public under the Scrapeless GitHub organization.
- The official Google Search Scraper repository is now public with examples for web, image, local, video, shopping, and news results.
- Gemini response handling was refined to reduce content truncation.
- Google AI Mode shopping-data handling was improved for more complete structured output.
Here’s what shipped at Scrapeless during the week of July 13–19, 2026: two new public scraper repositories and targeted output improvements for Gemini and Google AI Mode.
🌟 Top Updates
Amazon Scraper Repository Is Now Public
Scrapeless has added a dedicated Amazon Scraper repository to the official GitHub organization. The repository gives developers a single public location for the Amazon scraper project and its supporting materials.
Google Search Scraper Repository Is Now Public
The new Google Search Scraper repository provides a practical entry point for collecting structured Google Search data through the Scrapeless Scraping API.
The repository covers six search surfaces:
- Web results
- Google Images
- Google Local
- Google Videos
- Google Shopping
- Google News
It also includes request examples in Python, Node.js, Go, Java, and PHP, making it easier to connect the scraper to an existing application stack.
Developers can control search language, country, location, pagination, and vertical-specific filters through the request input. The result is structured search data that can feed SEO monitoring, market research, local intelligence, and automated data pipelines.
⬆️ Service Improvements
Better Handling of Gemini Response Length
We refined Gemini content handling to reduce cases where response text could be truncated. Workflows that collect longer answers should now receive more complete content for downstream analysis, comparison, and storage.
Improved Shopping Data From Google AI Mode
We improved the handling of shopping data returned by Google AI Mode. The update focuses on capturing and structuring commerce-related information more consistently when it appears in AI Mode responses.
This is useful for teams working on product discovery, brand monitoring, retail research, and AI-search visibility.
👀 What This Means for Developers
This week’s updates make two common data surfaces easier to discover and integrate from GitHub while improving the completeness of AI-generated response data.
The public repositories provide reusable starting points for Amazon and Google Search projects. The Gemini and Google AI Mode improvements reduce cleanup work in pipelines that depend on complete answer text and shopping data.
Explore the Scrapeless Scraping API, review pricing, or read the previous Weekly Changelog.
At Scrapeless, we only access publicly available data while strictly complying with applicable laws, regulations, and website privacy policies. The content in this blog is for demonstration purposes only and does not involve any illegal or infringing activities. We make no guarantees and disclaim all liability for the use of information from this blog or third-party links. Before engaging in any scraping activities, consult your legal advisor and review the target website's terms of service or obtain the necessary permissions.
