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LinkedIn ICP Scoring n8n Workflow: Periodix + Google Sheets

LinkedIn ICP Scoring n8n Workflow: Periodix + Google Sheets

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LinkedIn ICP Scoring n8n Workflow: Periodix + Google Sheets

LinkedIn ICP Scoring n8n Workflow: Periodix + Google Sheets

Regular price £41.99
Regular price £41.99 Sale price
SAVE Sold out

Turn LinkedIn company URLs into an ICP shortlist—fast—with AI scoring

This LinkedIn ICP Scoring n8n workflow (Periodix + Google Sheets) lets you paste LinkedIn company URLs into Google Sheets and automatically pull full company profiles, then generate an AI ICP fit score (1–10) with a clear one-sentence reason—so you can research and qualify prospects far more cost-effectively.

What this workflow does

  • Loads your ICP criteria from a config step, including your score threshold.
  • Reads LinkedIn company URLs from the Input tab and skips companies already present in the Researched tab.
  • For each company, uses Periodix Actions to fetch the full LinkedIn company profile.
  • Flattens key fields into clean Google Sheets columns, including:
    • industry, specialties, headcount and range
    • 6/12/24-month headcount growth
    • average employee tenure
    • HQ and all offices, founding year
    • followers, website, tagline, and description
  • AI scores each company 1 to 10 against your ICP and adds a one-sentence explanation.
  • Appends results to the Researched tab with icp_score, icp_reason, and icp_fit (yes/no).

Use cases

  • Build a target account list by scoring inbound or exported LinkedIn accounts against your ICP.
  • Qualify SaaS prospects before outreach by enriching companies with headcount growth, tenure, and office/HQ context.
  • Run batch prospect research: drop URLs into Sheets and let the workflow populate a ready-to-review shortlist.

Technical details

  • Periodix Actions via actions.periodix.net (verified Periodix Actions node; supports n8n Cloud and self-hosted).
  • Google Sheets integration via OAuth2 (Sheet ID used in three Google Sheets nodes).
  • AI provider credential supported in the ICP Fit node (Claude by default; OpenAI or Gemini also work).
  • Uses n8n nodes: set, code, sticky note, http request, manual trigger, and Google Sheets.

Perfect for n8n users and automation engineers who want a reliable LinkedIn-to-ICP scoring workflow that’s ready to run with Periodix and Google Sheets.

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