Enrich LinkedIn Profiles in Google Sheets with Periodix n8n

Enrich LinkedIn profiles at scale—directly into Google Sheets using Periodix in n8n

Want instant, structured LinkedIn profile data without manual copy-paste? This n8n workflow takes LinkedIn URLs from your Google Sheets Input tab, fetches the full profiles via Periodix Actions, and appends normalized results into your Enriched tab—ready for lead research, hiring, and CRM-style analysis.

What this workflow does

• Start an enrichment run manually to begin processing.
• Read LinkedIn profile URLs from the Input tab and existing results from the Enriched tab.
• Build a deduplicated queue by skipping profiles already enriched and removing duplicates from the input list.
• Process in batches and fetch each LinkedIn profile using Periodix Actions with profile-view notifications disabled.
• Normalize profile data into flat columns, including name, headline, location, About, work history with dates, education, skills, languages, certifications, open profile, premium, followers, connections, and enrichment status.
• Append one row per profile to the Enriched tab until the queue is fully processed.

Use cases

• Recruiting pipelines: enrich candidates from a LinkedIn URL list into a spreadsheet for quick screening.
• Sales and prospecting: build structured datasets of LinkedIn profiles for outreach lists.
• Research ops: track skills, languages, and experience history for teams or markets—without leaving Google Sheets.

Technical details

• Works with n8n (Cloud or self-hosted) using the verified Periodix Actions node (configured with your connected LinkedIn profile in the Get Profile node).
• Google Sheets integration via OAuth2 across multiple Google Sheets nodes (Input + Enriched tab handling).
• Uses nodes including: Manual Trigger, Split in Batches, Code, and Periodix Actions.

Best for n8n users and SaaS operators who want structured LinkedIn enrichment in Google Sheets—reported as 1,000 profiles for $10/month (about 18x less than Clay and roughly half of Apify, per the provided overview).