Make.com LinkedIn Profile Data Processor (User-Provided Export Workflow)

Stop cleaning LinkedIn exports by hand. Start getting production‑ready JSON in minutes.

You download your LinkedIn data and immediately hit the wall: inconsistent HTML blobs, dates in five formats, fields that change names without warning. You lose hours untangling a ZIP file that should be simple. And every time, you wonder if you missed something that will break your pipeline later.

This workflow fixes that. The Make.com LinkedIn Profile Data Processor converts the official user‑initiated LinkedIn export into clean, normalized, schema‑validated JSON with a fully documented scenario file containing 200+ modules. No scraping, no hacks — just automated cleanup that replaces hours of manual parsing.

What's Included:
- Make.com scenario file with 200+ documented modules handling parsing, mapping, sanitation, and validation
- Field normalizer for dates, job titles, locations, skills, and company data
- HTML sanitizer that strips unsafe tags and prevents malformed HTML injection
- Schema enforcement layer that ensures consistent output for every profile
- PII control checks that alert and isolate sensitive fields before ingestion
- Example input and output JSON files showing the exact expected schema

Built from patterns used in production LinkedIn‑import pipelines for SaaS onboarding tools, CRM enrichment workflows, and HR‑tech applicant ingestion. This scenario reflects hundreds of real‑world profile imports, including the failure cases that cause the majority of data‑related support tickets.

Who This Is For:
- Developers integrating user‑uploaded LinkedIn profiles into onboarding or CRM pipelines
- No‑code/low‑code builders on Make.com who need consistent JSON for downstream automations
- Product teams who want to reduce profile‑import errors without writing a custom parser

Who This Is NOT For:
- Anyone looking for LinkedIn scraping, unauthorized data collection, or automated extraction
- Teams that already have an internal ETL engine dedicated to custom LinkedIn parsing

If this doesn't cut your LinkedIn‑cleanup time from hours to under 10 minutes, reach out for a full refund.

What's Included (10 files)

• security-notes-handling-personal-data.md
• modules-profile-export-sample-input.json
• make-scenario-linkedin-profile-data-processor.json
• TROUBLESHOOTING.md
• modules-validate-profile-schema.js
• SETUP-GUIDE.md
• modules-normalize-linkedin-dates.script.js
• modules-transform-profile-export.mapper.json
• modules-sanitize-linkedin-html.script.js
• modules-dedupe-experience-entries.script.js