2d (edited) • General discussion
Track and Identify all Potential Customers on LinkedIn Daily using n8n automation & Google Gemini in 8 Steps
Marketers and small business owners rely heavily on LinkedIn to find potential customers and initiate conversations. There are hundreds of activities recorded from all the connections that a person has and some of them could be valuable signals leading to sales opportunities.
However, it is not possible to keep a track of all the updates from connections on LinkedIn 24x7. That's why we've created this automation workflow using n8n and Google Gemini which helps you execute this task 24x7, automatically so that you don't miss any sales opportunities within your network.
Here's the step-by-step guide:
Step 1 - Daily trigger
- Node: Schedule Trigger, run once at end-of-day.
- Input: list of LinkedIn connection IDs (store as credential/variable).
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Step 2 - Fetch connection activity
- Node: HTTP Request to LinkedIn API / provider.
- Pull each connection’s recent updates for the day: posts, comments, likes, shared articles, job changes using LinkedIn's official APIs / SerpApi / ScrapingDog's LinkedIn Scraper API.
- Use SplitInBatches to iterate safely and respect rate limits.
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Step 3 - Normalize activity items
- Node: Set / Function.
- Produce structured records: connection_name, profile_url, item_type (post/comment/like), text_snippet, post_url, timestamp, engagement_count.
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Step 4 - Summarize daily activity (Gemini)
- Node: HTTP Request → Google Gemini.
- Prompt: ask Gemini to turn a connection’s activity items into a 1–2 line summary (what they posted, tone, any request/need hinted).
- Save Gemini summary per connection.
Short example prompt to paste into Gemini:
"Summarize these LinkedIn activity items for [name]. Output one short sentence describing what they’re up to today and whether they appear to be seeking vendors, hiring, or sharing product feedback."
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Step 5 - Enrich & match to your offering (optional)
- Node: HTTP Request to Cura8.ai by navan.ai, Clearbit or Apollo.
- Get company industry, size, recent news.
- Combine company facts with the activity summary for context.
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Step 6 - Prioritize likely prospects (Gemini)
- Node: Gemini classification.
- Prompt: ask Gemini to score likelihood (0–100) that this connection is a potential customer today, using activity + company fit + your offering description. Ask for short reasons and a priority label (high/med/low).
- Keep only high-priority items for message drafting.
Short example prompt:
"Given this activity summary and company facts, score 0–100 how likely [name] is an immediate sales prospect for [one-line-offering]. Return JSON: {score, priority:high|medium|low, reason}."
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Step 7 - Draft short, empathetic messages for high-priority connections (Gemini)
- Node: Gemini.
- For each high-priority connection, generate a 2–4 line LinkedIn message: congratulate/acknowledge their post, mention a specific line from their post, and suggest a short exploratory chat (no hard pitch). Keep tone consultative.
Short example message prompt:
"Write a 2-line LinkedIn note to [first_name] referencing this sentence: '[quote snippet]'. Congratulate/acknowledge, briefly connect to how [one-line-offering] might help, and close with a soft ask to chat. Output: {message_text}."
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Step 8 — Save & review (manual outreach only)
- Node: Google Sheets Append Row.
- Columns: name, profile_url, activity_summary, company, enrichment_notes, priority, score, message_text, date_added, human_review_flag.
- Mark borderline scores for manual review.
*End of workflow*
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Please share your feedback and questions in the comments.
To customize and use this automation solution for your business, please dm me.
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Track and Identify all Potential Customers on LinkedIn Daily using n8n automation & Google Gemini in 8 Steps
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