Find, Scrape & Analyze Twitter Posts by Name with Bright Data & Gemini

This n8n workflow automates the collection and analysis of Twitter (X) posts for any public profile using just a full name and date range input via a public form. It performs a Google search to locate the profile, scrapes full post data including metrics like views, likes, reposts, hashtags, and mentions using Bright Data's Web Unlocker and dataset API, then leverages Google Gemini AI to extract structured data, detect interests, analyze tone, themes, sentiments, and generate a personalized summary.

Key benefits include time-saving automation of manual social media research, scalable analysis for teams, and actionable insights like activity trends and popularity metrics. It handles edge cases like profile detection failures with fallback messages, ensuring reliable operation.

Ideal use cases: Competitor analysis, influencer vetting, lead qualification via social activity, market research on thought leaders, or HR background checks. Outputs raw structured data and AI summaries to Google Sheets for collaboration and further processing, making it perfect for enterprise marketing, sales, and analytics teams.