This workflow automates the process of fetching data from external URLs, processing it, and managing local files based on data from a Google Sheet. Triggered manually, it retrieves rows from a Google Sheet, extracts names and URLs, downloads the content from each URL, and then writes the downloaded data to local disk files. Additionally, the workflow can execute custom code for data manipulation, making it flexible for various data processing tasks.

The process begins with a manual trigger to start the workflow. It then queries a Google Sheet to get specific rows containing names and URLs. For each row, it extracts these details and passes the URL to a custom code node that formats or modifies the URL if needed. The URLs are then used in HTTP requests to fetch data from external sources. The retrieved data can be processed by a second code node, allowing custom data handling.

Once the data is fetched, the workflow writes each piece of data to a local file system, storing files with names derived from the sheet data. This automation simplifies workflows such as batch downloading resources, updating local datasets, or preparing data for further analysis. It is particularly useful for content management, bulk data updates, or synchronization between online sources and local storage, seamlessly integrating Google Sheets, HTTP requests, and file system operations.