Stripe Recent Checkout Sessions Data Filtering and Custom Fields Extraction

This workflow automates the scraping of company information from Glassdoor and utilizes advanced language models to generate intelligent summaries, providing concise company profile reports. It integrates functions such as data scraping, status polling, and text processing, enabling efficient and accurate extraction and summarization of web information. This addresses the cumbersome issues of traditional manual collection and analysis processes, making it suitable for fields such as human resources, recruitment, and market research. It enhances information processing efficiency and helps users make more informed decisions.

This workflow aims to automate the acquisition of visitor data from the Matomo web analytics tool, focusing on user behavior for those who have visited more than three times. Through advanced AI models, in-depth analysis is conducted to generate SEO optimization recommendations, and the results are systematically stored in a Baserow database. This process not only enhances the efficiency of data analysis but also provides professional insights and optimization strategies for website operations teams, SEO experts, and small businesses, helping to accurately identify areas for website improvement and enhance traffic quality and conversion effectiveness.

This workflow automatically retrieves all order data by calling Squarespace's Commerce API and accurately synchronizes it to Google Sheets. Users can set filtering criteria such as query time range and order status to achieve personalized data synchronization, supporting both manual triggers and scheduled tasks for real-time order information updates. This process simplifies the order data export procedure, prevents data omissions, and enhances the data management efficiency of the e-commerce operations team, facilitating subsequent analysis and decision-making.

This workflow automates the collection and reporting of Google Analytics data, covering dimensions such as website page engagement, search performance, and country visit data. By comparing this week's data with last week's, users can quickly gain insights into traffic changes and user behavior trends, enhancing the efficiency of data-driven decision-making. The final report is sent in a formatted HTML email, making it concise and intuitive, easy to share and archive, and suitable for users such as marketing teams, data analysts, and corporate management.

This workflow can automatically retrieve data from Phantombuster and organize key information such as names, emails, and companies before storing it in an Airtable database. Users only need to manually trigger the execution, which simplifies the data extraction and storage process, enhancing the automation and efficiency of data management. It addresses the cumbersome nature of traditional manual data organization and uploading, improving data accuracy and making it suitable for various scenarios such as market research and recruitment, helping teams efficiently manage external data.

This workflow can automatically read company and contact information from Microsoft Excel and compare and synchronize it with the Salesforce CRM system, ensuring data consistency and accuracy. It features automatic deduplication and the ability to distinguish between new and existing customers, allowing for bulk creation or updating of accounts and contacts. This greatly enhances the efficiency of customer data management and reduces errors caused by manual operations, making it suitable for the sales and marketing teams' customer data import and maintenance.

This workflow automatically captures and processes corporate email by listening to appointment events from Calendly. It utilizes Clearbit to enrich customer and company information and synchronizes this data in real-time with HubSpot CRM. It effectively addresses the tediousness of manual data entry, enhances the quality of sales leads, and ensures the completeness and timeliness of customer information. Suitable for sales and marketing teams, it helps automate the entry of customer data, optimizes customer relationship management, supports precise marketing and decision-making, and improves the efficiency of the business.

This workflow can automatically monitor TRC20 USDT wallets, calling the TronScan API every 15 minutes to retrieve the latest transaction records. It filters out transfers that occurred within the last 15 minutes and formats the transaction details for display. This simplifies the cumbersome process of traditional manual queries, providing real-time transaction information to help users stay informed about fund movements and avoid missing important transactions. This automation tool is suitable for digital asset investors, blockchain developers, and corporate finance teams, enhancing monitoring efficiency and accuracy.