LinkedIn Engagement Benchmark n8n Workflow: Bright Data + OpenAI + Slack

Benchmark your LinkedIn engagement every week—then get an AI recommendation in Slack

This LinkedIn Engagement Benchmark n8n workflow automates weekly scraping of recent LinkedIn company posts with Bright Data, compares your engagement performance against competitor benchmarks by post format, records results in Google Sheets, and sends a concise digest to Slack—including an OpenAI-generated recommendation grounded in peer examples.

What this workflow does

• Runs weekly (Mondays) or on-demand, pulling your LinkedIn company page URL, competitor URLs, crawl limits, and the target Google Sheets URL.
• Triggers a Bright Data dataset crawl to discover the latest posts for all listed company pages in one request, then polls until the snapshot is ready.
• Downloads and normalizes posts by the crawled company page to handle repost attribution, deriving post format and engagement rate based on reactions and comments per follower.
• Aggregates original (non-repost) posts per company to calculate medians and cadence metrics, including median engagement rate overall and by format.
• Benchmarks your company against competitor medians (overall and per format) and sends those results to OpenAI to generate a short, recommendation-style output based on peer examples.
• Appends one metrics row per company to Google Sheets and posts a formatted Slack digest, including pages that returned no posts.

Use cases

• Weekly SaaS marketing ops to track LinkedIn company-page engagement health vs. competitors.
• Competitive intelligence for content strategy—identify whether your engagement lags overall or specific formats.
• Automation engineers deploying a measurable LinkedIn benchmarking pipeline with reporting.

Technical details

• Bright Data crawl via HTTP Header Auth using Authorization: Bearer <YOUR_API_KEY>
• Processing and control flow nodes include: if, set, code, wait, slack, split out
• OpenAI used to generate the recommendation from competitor benchmark results
• Outputs: Google Sheets row logging + Slack summary digest