Twitter Profile Scraper: Bright Data API to Google Sheets

This n8n workflow provides a powerful automation for extracting Twitter profile data, including tweets, engagement metrics, and user information, via Bright Data's Twitter dataset. Users input Twitter profile URLs and custom date ranges through an intuitive form trigger. The workflow then sends API requests to Bright Data to initiate scraping jobs, monitors progress with real-time status checks and automatic retries, and finally exports all collected data into an organized Google Sheets spreadsheet.

Key benefits include time-saving automation for social media monitoring, eliminating manual data collection, and ensuring reliable results with professional scraping infrastructure. It captures detailed metrics like tweet counts, likes, retweets, and profile stats, making it ideal for competitor analysis, brand tracking, and content strategy development.

Use cases span marketing teams analyzing influencer performance, researchers studying social trends, businesses monitoring competitors, and agencies generating client reports. With customizable fields and error handling, it scales for single profiles or bulk operations, delivering actionable insights directly to your spreadsheet for further analysis or visualization.