Monitor LinkedIn Competitor Engagement & Analysis with Bright Data & AI
Automates scraping of LinkedIn company profiles for latest 5 posts, analyzes engagement metrics like likes and comments using Bright Data and OpenAI, and stores data in Google Sheets.
This n8n workflow monitors competitor LinkedIn activity by scraping company profiles to extract the latest 5 posts without getting blocked, thanks to Bright Data's robust proxy and scraping capabilities. OpenAI then intelligently parses post content, engagement data (likes, comments, shares), and metadata to compute average engagement rates, identify high-performing content types, and generate insights on posting strategies.
Key benefits include significant time savings by eliminating manual monitoring, actionable competitive intelligence for refining your social media approach, and scalable tracking across multiple competitors. Data is automatically logged into Google Sheets for easy visualization, reporting, and historical trend analysis.
Ideal use cases: Social media managers analyzing competitor content performance; marketing teams benchmarking engagement patterns; brand strategists identifying successful messaging; competitive intelligence for B2B sales teams. Customize with your target company URLs, adjust post limits, and integrate with dashboards for real-time alerts on spikes in competitor activity.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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