Find, scrape & analyze Twitter posts by name with Bright Data & Gemini
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
Community nodes
These come from third-party npm packages. In n8n 3.0 unverified community packages are off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
n8n-nodes-brightdata(Snapshot Content, Snapshot Request, Snapshot Progress, BrightData)
Nodes used (12)
- HTML
n8n-nodes-base.html - n8n Form Trigger
n8n-nodes-base.formTrigger - Edit Fields (Set)
n8n-nodes-base.set - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - n8n Form
n8n-nodes-base.form - If
n8n-nodes-base.if - Google Sheets
n8n-nodes-base.googleSheets - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Bright Data
n8n-nodes-brightdata.brightData - Code
n8n-nodes-base.code - Wait
n8n-nodes-base.wait
What it does
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).