Automate Competitor Social Media Monitoring and Analysis
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Streamline competitor social media engagement tracking. This workflow automatically scrapes LinkedIn posts, analyzes engagement metrics like likes and comments, and stores detailed post data for comprehensive competitive insights.
About This Workflow
Gain a competitive edge by staying on top of your rivals' social media performance. This n8n workflow automates the process of monitoring competitor engagement on LinkedIn. It starts with a manual trigger, then sets a target LinkedIn company URL. Using an AI agent powered by MCP tools, it scrapes the latest posts and their engagement data. The workflow then calculates key metrics like total likes, comments, and averages. Finally, it meticulously saves both the aggregated engagement metrics and individual post details into separate Google Sheets for easy analysis and reporting. This provides a powerful, automated solution for understanding competitor content strategy and audience reception.
Key Features
- Automated LinkedIn Post Scraping: Efficiently gather the latest posts from competitor LinkedIn pages.
- Engagement Metrics Analysis: Automatically calculate total and average likes and comments for competitor posts.
- Data Archiving: Seamlessly save both aggregated metrics and individual post data to Google Sheets.
- Customizable Competitor Target: Easily set the LinkedIn company URL to monitor any competitor.
- AI-Powered Data Extraction: Leverages AI agents for intelligent and accurate data retrieval.
How To Use
- Manual Trigger: Initiate the workflow by clicking the 'Execute Workflow' button.
- Set LinkedIn Company URL: In the 'Set LinkedIn Company URL' node, update the
URLparameter with the desired competitor's LinkedIn company page URL. - Configure MCP Client Tool: Ensure your Bright Data MCP Client credentials are set up. The
toolParametersin the 'Bright Data MCP Client' node are automatically configured by the AI agent to use the LinkedIn company profile tool. - Review Agent Prompt: The 'Agent: Fetch LinkedIn Posts' node is pre-configured to scrape the latest 5 posts from the provided URL.
- Analyze Engagement Metrics: The 'Analyze Engagement Metrics' node processes the scraped post data to calculate total and average likes and comments.
- Save Averages to Google Sheets: Configure the 'Save Averages to Google Sheets' node with your Google Sheets credentials, document ID, and sheet name to save the aggregated engagement data.
- Format Post Content: The 'Format Post Content' node prepares the individual post data for saving.
- Save Posts to Google Sheets: Configure the 'Save Posts to Google Sheets' node with your Google Sheets credentials, document ID, and sheet name to save the details of each scraped post.
Apps Used
Workflow JSON
{
"id": "12ed2d5b-e47c-402d-9e66-bf49a02f1d5e",
"name": "Automate Competitor Social Media Monitoring and Analysis",
"nodes": 18,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 12ed2d5b-e47c...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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