Benchmark LinkedIn post engagement with Bright Data, OpenAI, Google Sheets and Slack

by Daniel Shashko ✓ · 17 views · created 2026-09-08 · Market Research, AI Summarization

What this workflow does

This AI workflow has 19 nodes and runs on a schedule (every week at 09:00) (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Google Sheets and Slack.

How it runs

Trigger: On a schedule (every week at 09:00) (plus 1 other trigger).

1. Settings (Edit Fields (Set)): sets 6 fields: your_company_url, competitor_urls, max_pages…
2. Build The Company List (Code): runs custom JavaScript code
3. Ask Bright Data For The Posts (HTTP Request): calls an HTTP API (POST)
4. Wait: waits 15 seconds
5. Ask If It Is Done (HTTP Request): calls an HTTP API (GET)
6. Ready Or Try Again (Code): runs custom JavaScript code
7. Crawl Finished? (If): checks a condition and branches into true / false
8. Download The Posts (HTTP Request): calls an HTTP API (GET)
9. Read The Posts (Code): runs custom JavaScript code
10. Score Each Company (Code): runs custom JavaScript code

…plus 6 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelGoogle SheetsSlack

Before you upgrade to n8n 3.0

Nodes used (12)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Manual Triggern8n-nodes-base.manualTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Coden8n-nodes-base.code
• HTTP Requestn8n-nodes-base.httpRequest
• Waitn8n-nodes-base.wait
• Ifn8n-nodes-base.if
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Split Outn8n-nodes-base.splitOut
• Google Sheetsn8n-nodes-base.googleSheets
• Slackn8n-nodes-base.slack

From the author

Quick overview This workflow runs weekly to scrape recent LinkedIn company posts with Bright Data, benchmark your engagement rate against competitor pages by format, and use OpenAI to generate a short recommendation. It logs per-company metrics to Google…

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