Automated Twitter Profile Data Collection and Storage

This workflow facilitates automated scraping of Twitter profile data and storing it into a Google Sheet for analysis or record-keeping. The process begins with a user input form where the user enters a Twitter profile URL and a date range. It then triggers a data scraping request to Bright Data’s API, which scans the specified Twitter profile within the given dates. The workflow monitors the progress of the scraping task at one-minute intervals, checking if the data is ready. Once the scraping is complete, it fetches the collected data, including details like likes, replies, followers, and media links, and saves this information into a structured Google Sheet. This automation is useful for social media analysts, marketers, or researchers who want to gather and organize Twitter data efficiently without manual effort.