### Key Features and Highlights

This workflow automatically extracts text content from newly uploaded PDF files and images in a specified Google Drive folder. It uses AI models from Google Vertex AI (Gemini) and Openrouter for intelligent analysis, ultimately converting the structured data into CSV format and uploading it back to Google Drive. It supports multiple file formats, enhances text recognition accuracy, and fully automates data processing, making it suitable for fields such as finance and operations, significantly improving work efficiency and data accuracy.

This workflow automatically captures structured data information from Amazon's best-selling electronics list. It combines web crawling and advanced AI extraction technology to transform complex web content into clear product information. Users receive the organized data in real-time via Webhook, making it suitable for scenarios such as e-commerce market analysis and product operation decision-making. It effectively reduces manual intervention, enhances data processing efficiency, and supports precise decision-making and content innovation.

This workflow automatically collects swimming, cycling, and running data by monitoring sports activities on Strava in real-time. It utilizes a powerful AI model for in-depth analysis, generating personalized training feedback and improvement suggestions. The analysis results are output in a structured HTML format and sent through multiple channels such as email or WhatsApp, ensuring that users receive timely and scientific fitness guidance. This intelligent training assistance solves the cumbersome process of manual data import, enhancing athletes' training efficiency and performance.

This workflow utilizes AI intelligent agents and the official YouTube API to automatically mine trending videos in specific fields from the past two days. Through multiple rounds of intelligent searches and data analysis, it extracts key metrics such as view counts, likes, and comments, providing insights into content tags and thematic patterns to help creators grasp popular directions. It addresses the challenge creators face in quickly capturing real-time trending content, enhancing the efficiency and accuracy of topic selection, and providing data-driven references for content creation.

This workflow automatically retrieves the latest time records through the Toggl trigger, enabling real-time monitoring and collection of work time data, significantly enhancing the automation and efficiency of time management. It addresses the cumbersome and error-prone issues of manually tracking work hours, making it suitable for freelancers, project managers, and team leaders. It helps them gain real-time insights into time investment, optimize time allocation and resource scheduling, and improve data accuracy and management efficiency.

This workflow automatically collects and analyzes usage data of creators and their works, generating detailed ranking reports to help users understand the most popular workflows and active contributors within the community. Utilizing AI for intelligent processing, it outputs structured Markdown reports to simplify data comprehension, promote knowledge sharing and community collaboration. It is suitable for community managers, workflow developers, and novice users, enhancing engagement and optimizing strategies.

This workflow is manually triggered to automatically retrieve website traffic data from Google Analytics, including session counts and visitor countries, and stores the organized information in Airtable. It addresses the issues of traditional data dispersion and management difficulties, achieving automated data collection and centralized storage, thereby improving the efficiency and accuracy of data processing. It is suitable for website operators, data analysts, and marketing teams.

This workflow enables the automatic synchronization of product data from the Shopify e-commerce platform to Google Sheets. It retrieves product information in bulk through the GraphQL interface, including titles, tags, descriptions, and prices, and automatically organizes and writes this data into a specified Google Sheets document. It supports incremental synchronization to avoid duplicate data retrieval and updates daily on a schedule, significantly enhancing data management efficiency. This helps the e-commerce team manage inventory and pricing more conveniently, reduces labor costs, and improves decision-making capabilities.