This workflow is designed to automate the screening and enrichment of real estate leads. By calling a bulk data API, the system can retrieve property information based on custom criteria and use skip tracing technology to complete the owner's contact information. The generated client data will be exported as an Excel file and synchronized with the CRM system, while a report email will be sent to notify relevant personnel. This process supports both manual and scheduled automatic execution, significantly enhancing the efficiency and accuracy of lead generation, thereby assisting real estate investment and marketing teams in achieving more effective customer management.

This workflow integrates web scraping, intelligent search, and language processing technologies to achieve automated web data search, extraction, and summarization functions. Users can quickly obtain key information and utilize Webhook for result push notifications, significantly enhancing information retrieval efficiency. It is suitable for market research, content monitoring, and data-driven decision-making, providing analysts, product managers, and developers with an efficient solution that facilitates the convenience and quality of information processing.

This workflow is designed to automatically retrieve complete information about specified tasks from Monday.com, including all data related to main tasks, sub-tasks, and associated tasks. Through multi-level data scraping and integration, it ultimately outputs a well-structured JSON format data, facilitating subsequent processing and analysis. It effectively addresses the cumbersome and error-prone issues of manual data collection, enhancing the efficiency and accuracy of data retrieval, and is suitable for scenarios such as project management, report generation, and data integration.

This workflow is manually triggered to call the CocktailDB's random cocktail API to obtain data in JSON format, which is then automatically converted to XML format for easier processing and integration by downstream systems. It effectively addresses the issue of mismatched data formats returned by the API and the requirements of downstream systems, simplifying the data format conversion process and avoiding errors caused by manual operations. It is suitable for developers and data integration personnel to quickly implement automatic data format conversion in various scenarios.

This workflow automates the real-time acquisition and dissemination of the International Space Station's location. It retrieves the latest longitude, latitude, and timestamp every minute through a public API and publishes the data to a specified topic via the MQTT protocol. This process addresses the issue of low traditional data update frequency, enhancing the timeliness of the space station's location data. It is suitable for space enthusiasts, educational institutions, developers, and IoT operators, facilitating real-time monitoring and application integration.

Github Day Trend is an automated workflow that fetches and summarizes trending open-source projects from GitHub every day, enabling you to efficiently stay updated with the latest technology trends.