πŸ“Š Analyze competitor LinkedIn posts with Bright Data + Google Gemini to Google Sheets

⚑ 956 views Β· πŸ“Š Market Research & Insights

πŸ’‘ Pro Tip β€” If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search β€” you just pass a URL and get structured data back.

View All Scrapers

Description

markdownThis workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This workflow automatically analyzes competitor LinkedIn posts to extract strategic insights and engagement patterns. It saves you time by eliminating manual competitive analysis and provides actionable marketing intelligence from your competitors’ social media activity.

Overview

This workflow automatically scrapes LinkedIn post data including engagement metrics, comments, and content details, then uses AI to analyze the post’s intent, effectiveness, and key marketing takeaways. It transforms raw LinkedIn data into structured competitive intelligence stored in Google Sheets.

Tools Used

How to Install

  1. Import the Workflow: Download the .json file and import it into your n8n instance
  2. Configure Bright Data: Add your Bright Data credentials to the scraping node
  3. Set Up Google Gemini: Configure your Google Gemini API credentials
  4. Configure Google Sheets: Connect your Google Sheets account and copy the template spreadsheet
  5. Customize: Simply paste any LinkedIn post URL and run the workflow

Use Cases

Connect with Me

#n8n #automation #linkedinanalytics #competitiveintelligence #brightdata #webscraping #marketinga

πŸ”— Nodes Used

Google Sheets, AI Agent, Auto-fixing Output Parser, Structured Output Parser, Google Gemini Chat Model

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup