Monitor LinkedIn competitor engagement & analysis with Bright Data & AI

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, n8n-nodes-mcp.mcpclienttool, n8n-nodes-base.code, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.

Original n8n.io source

1.1 Workflow description

Title: Monitor LinkedIn competitor engagement & analysis with Bright Data & AI
Workflow name: Monitor LinkedIn competitor engagement & analysis with Bright Data & AI

This workflow automatically monitors competitor social media engagement on LinkedIn to track their content performance and posting strategies. It saves you time by eliminating the need to manually check competitor social media accounts and provides detailed analytics on their engagement metrics.

Overview

This workflow automatically scrapes LinkedIn company profiles to extract the latest 5 posts and analyzes their engagement metrics including likes, comments, and content performance. It uses Bright Data to access LinkedIn without being blocked and AI to intelligently parse post data, calculating average engagement rates and storing detailed post information.

Tools Used

n8n: The automation platform that orchestrates the workflow
Bright Data: For scraping LinkedIn company profiles without being blocked
OpenAI: AI agent for intelligent post data extraction and analysis
Google Sheets: For storing engagement metrics and detailed post information

How to Install

Import the Workflow: Download the .json file and import it into your n8n instance
Configure Bright Data: Add your Bright Data credentials to the MCP Client node
Set Up OpenAI: Configure your OpenAI API credentials
Configure Google Sheets: Connect your Google Sheets account and set up your competitor tracking spreadsheets
Customize: Enter target LinkedIn company URLs and adjust engagement tracking parameters

Use Cases

Social Media Marketing: Analyze competitor content strategies and engagement patterns
Competitive Intelligence: Track competitor posting frequency and content performance
Content Strategy: Identify high-performing content types and messaging approaches
Brand Monitoring: Monitor competitor social media presence and audience engagement

Connect with Me

Website: https://www.nofluff.online
YouTube: https://www.youtube.com/@YaronBeen/videos
LinkedIn: https://www.linkedin.com/in/yaronbeen/
Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)

#n8n #automation #socialmedia #competitoranalysis #linkedin #brightdata #webscraping #socialmonitoring #engagementtracking #n8nworkflow #workflow #nocode #socialautomation #competitormonitoring #contentanalysis #socialmediamonitoring #linkedinanalytics #engagementmetrics #competitorresearch #socialintelligence #contentperformance #socialmediaanalytics #brandmonitoring #competitortracking #socialmediastrategy #contentmarketing #socialmediadata #engagementanalysis #competitiveanalysis #linkedinscraping

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - 🔘 Trigger: Manual Start

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - 🔗 Set LinkedIn Company URL

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - 🤖 Agent: Fetch LinkedIn Posts (via MCP Tool)

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 4 - 🌐 Bright Data MCP Client

Type / Role: n8n-nodes-mcp.mcpClientTool - mcpClientTool
Config choices: Version 1

Block 5 - 📈 Analyze Engagement Metrics

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - 📥 Save Averages to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 7 - 🧾 Format Post Content

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - 📥 Save Posts to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 11 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Auto-fixing Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserAutofixing - outputParserAutofixing
Config choices: Version 1

Block 18 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 19 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

3. Summary Table

Workflow	Monitor LinkedIn competitor engagement & analysis with Bright Data & AI
Complexity	advanced
Nodes	19
Categories	Market Research, AI Summarization
Author	Yaron Been
Published	13 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5949/5949.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Monitor LinkedIn competitor engagement & analysis with Bright Data & AI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Yaron Been

180 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent n8n-nodes-mcp.mcpclienttool n8n-nodes-base.code n8n-nodes-base.googlesheets n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

advanced

Published 13 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5949/5949.json

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Monitor LinkedIn competitor engagement & analysis with Bright Data & AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

Tools Used

How to Install

Use Cases

Connect with Me

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - 🔘 Trigger: Manual Start

Block 2 - 🔗 Set LinkedIn Company URL

Block 3 - 🤖 Agent: Fetch LinkedIn Posts (via MCP Tool)

Block 4 - 🌐 Bright Data MCP Client

Block 5 - 📈 Analyze Engagement Metrics

Block 6 - 📥 Save Averages to Google Sheets

Block 7 - 🧾 Format Post Content

Block 8 - 📥 Save Posts to Google Sheets

Block 9 - Sticky Note

Block 10 - OpenAI Chat Model

Block 11 - Sticky Note1

Block 12 - Sticky Note2

Block 13 - Sticky Note3

Block 14 - Sticky Note9

Block 15 - Sticky Note4

Block 16 - Sticky Note5

Block 17 - Auto-fixing Output Parser

Block 18 - OpenAI Chat Model1

Block 19 - Structured Output Parser

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions