Import CSV from URL to Google Sheet

This workflow automatically scrapes the information of the top 13 trending code repositories from GitHub's trending page for today, including data such as author, name, description, programming language, and links, generating a structured list in real-time. By automating the process, it addresses the cumbersome task of manually organizing data, improving the speed and accuracy of information retrieval. This helps developers, product managers, and content creators quickly grasp the latest dynamics of open-source projects, supporting industry technology trend tracking and data analysis.

This workflow automatically retrieves official company information from the SIREN business database by calling the API of the National Institute of Statistics and Economic Studies of France. It intelligently enriches and updates company data in Agile CRM. It ensures the accuracy of the company's registered address and unique identification code (SIREN), addressing issues of incomplete and outdated company data, significantly enhancing data quality and work efficiency. This makes it particularly suitable for sales and customer management teams that need to maintain accurate customer profiles.

This workflow is designed to automatically sync payment data from the Stripe platform to HubSpot contact records, ensuring that the cumulative spending amount of customers is updated in real-time. Through scheduled triggers and API calls, the workflow efficiently retrieves and processes customer and payment information, avoiding duplicate queries and improving data accuracy. This process not only saves time on manual operations but also provides the sales and customer service teams with a more comprehensive view of customer value, facilitating precise marketing and customer management.

This workflow can dynamically generate line charts based on user-inputted JSON data and automatically upload the charts to Google Drive, achieving automation in data visualization. Users can customize the labels and data of the charts, supporting various chart types and style configurations. It simplifies the cumbersome steps of traditional manual chart creation and uploading, enhancing work efficiency and making it suitable for various applications such as corporate sales data and market analysis.

This workflow automates the retrieval of sports event data and match results, and updates them in real-time to an Airtable spreadsheet. Users can set up scheduled triggers to automatically pull event information and scores for specified sports from TheOddsAPI, ensuring the timeliness and completeness of the data. It effectively addresses the cumbersome and inefficient issues of manual data collection, making it suitable for sports betting data management, event information updates, and related business analysis, thereby enhancing the data management efficiency of the operations team.

This workflow demonstrates how to associate and retrieve data items through code nodes, with the main function being the extraction of customer data from earlier steps. By simplifying the process and retaining only key information, the workflow ultimately utilizes the `itemMatching` function to restore the customer's email address. This process is suitable for complex automation scenarios, helping users accurately match and restore historical data, thereby enhancing the efficiency and accuracy of data processing. It is designed for automation developers and designers involved in data processing and customer management.

This workflow automates the retrieval of search analytics data from Google Search Console, covering key metrics such as keyword queries, page performance, and click-through rates. After the data is structured, it is automatically synchronized to Google Sheets for real-time updates and aggregation, significantly reducing the complexity of manual organization. This makes it easier for non-technical personnel to view and share the data, helping SEO specialists and digital marketing teams efficiently monitor website search performance and support decision-making.

This workflow integrates multiple real-time API interfaces from CoinMarketCap to build a smart cryptocurrency analysis assistant. Users can obtain information such as coin prices, market rankings, metadata, and currency conversions through natural language queries. Coupled with the advanced GPT-4o Mini model, it can understand context and generate accurate responses, significantly enhancing query efficiency and user experience, making it suitable for various scenarios including investors, analysts, and developers.