TEMPLATES

This workflow is triggered at regular intervals and automatically retrieves real-time location data of the International Space Station every minute, including latitude, longitude, and timestamps. It features an intelligent deduplication function to ensure that the output trajectory points are the most recent and unique, preventing duplicate records and thereby enhancing the accuracy and timeliness of the data. It is suitable for aerospace research institutions, educational projects, and aerospace enthusiasts, enabling efficient monitoring and analysis of the dynamics of the International Space Station.

This workflow is designed to automatically monitor competitors' pricing information. It begins by retrieving pricing page links from Google Sheets and uses intelligent extraction tools to analyze prices and features. By comparing with historical data, it identifies price changes in real time and feeds the updated information back into Google Sheets. Additionally, it notifies the team via Slack to ensure timely awareness of market dynamics. This process effectively reduces manual checking time, improves data flow efficiency, and helps businesses quickly adjust strategies to enhance market competitiveness.

The main function of this workflow is to automate the comparison of two datasets, allowing for the identification of common items, differences, and unique items. It supports multiple output options, facilitating subsequent data processing and in-depth analysis. With a streamlined design, users can quickly generate datasets and perform comparisons, enhancing the efficiency and accuracy of data verification. It is suitable for scenarios such as data analysis, quality checks, and cross-department collaboration. This is an efficient tool that helps users easily master data comparison techniques.

This workflow enables the batch reading, deduplication, filtering, and date sorting of multiple CSV files, and automatically imports the processed data into Google Sheets. It supports the identification and integration of the latest subscriber data, significantly improving data processing efficiency and addressing the time-consuming and error-prone issues of traditional manual processing. It is suitable for fields such as marketing, data analysis, and content operations, helping teams stay updated on user subscription status in real-time, and supporting informed decision-making and strategy formulation.

This workflow regularly retrieves website keyword ranking data from the SERPBear platform, automatically parses it, and generates a summary of keyword performance. The data is then sent to an AI model for in-depth analysis, and the results are finally saved to a Baserow database. The purpose is to help website operators and SEO practitioners efficiently monitor changes in keyword rankings, identify well-performing and under-optimized keywords, thereby enhancing the scientific accuracy of SEO decision-making and reducing the workload of manual analysis.

This workflow automates the processing of transaction receipt images received by a LINE chatbot. By uploading the images to Google Drive and using OCR technology to recognize the information within them, the system can accurately extract transaction details and automatically record the data in Google Sheets. This process significantly enhances the efficiency and accuracy of manual data entry, addressing the challenge of structuring image information for storage. It is suitable for scenarios where efficient management of transaction receipts is needed, such as in finance departments, individuals, and small businesses.

This workflow automatically converts webpage content from HTML format to structured Markdown and extracts all links from the webpage. Users can batch process multiple URLs, and the system will automatically manage API request rate limits to ensure efficient and stable data scraping. The workflow is flexible, supporting the reading of URLs from a user database and outputting the processing results to a specified data storage system, making it suitable for scenarios such as content analysis, market research, and website link management.

This workflow utilizes advanced AI language models and web data scraping technologies to automate the research and structuring of corporate information. Users can process lists of companies in bulk, accurately obtaining various key information such as company domain names, LinkedIn links, and market types. The results are automatically updated to Google Sheets for easier management and analysis. This system significantly enhances data collection efficiency, addressing issues of incomplete information and outdated updates commonly found in traditional manual research. It is suitable for scenarios such as market research, sales lead generation, and investment due diligence.