Find, scrape & analyze Twitter posts by name with Bright Data & Gemini

This n8n workflow template automates the process of collecting and analyzing Twitter (X) posts for any public profile, then generates a clean, AI-powered summary including key metrics, interests, and activity trends. 🚀 What It Does - Accepts a user's full name and date range through a public form. - Automatically finds the person’s X (formerly Twitter) profile using a Google search. - Uses Bright Data to retrieve full post data from the X.com profile. - Extracts key post metrics like views, likes, reposts, hashtags, and mentions. - Uses Google Gemini (PaLM) to generate a personalized summary: tone, themes, popularity, and sentiments. - Stores both raw data and the AI summary into a connected Google Sheet for further review or team collaboration. 🛠️ Step-by-Step Setup 1. Deploy the public form to collect full name and date range. 2. Build a Google search query using the name to find their X profile. 3. Scrape the search results via Bright Data (Web Unlocker zone). 4. Parse the page content using the HTML node. 5. Use Gemini AI to extract the correct X profile URL. 6. Pull full post data via Bright Data dataset snapshot API. 7. Transform post data into clean structured fields: dateposted, description, hashtags, likes, views, quotedpost.dateposted, quotedpost.description, replies, reposts, quotes, and taggedusers.profilename. 8. Analyze all posts using Google Gemini for interest detection and persona generation. 9. Save results to a Google Sheet: structured post data + AI-written summary. 10. Show success or fallback messages depending on profile detection or scraping status. 🧠 How It Works: Workflow Overview - Trigger: When user submits form - Search & Match: Google search → HTML parse → Gemini filters matching X profile - Data Gathering: Bright Data → Poll for snapshot completion → Fetch post data - Transformation: Extract and restructure key fields via Code node - AI Summary: Use Gemini to analyze tone, interests, and trends - Export: Save results to Google Sheet - Fallback: Display custom error message if no X profile found 📨 Final Output - A record in your Google Sheet with: - Clean post-level data - Profile-level engagement summary - An AI-written overview including tone, common topics, and post popularity 🔐 Credentials Used - Bright Data account (for search & post scraping) - Google Gemini (PaLM) or Gemini Flash via - OpenAI/Google Vertex API - Google Sheets (OAuth2) account (for result storage) ⚠️Community Node Dependency This workflow uses a custom community node: n8n-nodes-brightdata Install it via UI (Settings → Community Nodes → Install).