Enrichment template

Clean and enrich LinkedIn URLs before sales scoring.

A LinkedIn URL list may come from a CSV, comment, search, or CRM. This template avoids duplicates and preserves source context.

Expected normalization

Enrichment pipeline

Before scoring, know whether the URL is valid, unique, attached to the right account, and still useful.

Cleaning
raw_url, canonical_url, linkedin_type, source.
Separate profile, company, post, and search URLs.
Enrichment
name, title, company, confidence, missing_fields.
Flag uncertain fields instead of inventing them.
Activation
dedupe_key, score, score_reason, next_action.
Push to CRM only after deduplication.

Verified facts

What the tool should clarify before being used.

Use case

Useful before sending URLs to an API, n8n workflow, or sales team.

Expected output

Raw URL, canonical URL, LinkedIn type, and original source.

Method proof

Separate profile, company, post, and search URLs.

Verification method

How to turn the template into an actionable step.

  1. 01 Cleaning Separate profile, company, post, and search URLs.
  2. 02 Enrichment Flag uncertain fields instead of inventing them.
  3. 03 Activation Push to CRM only after deduplication.

How it works

A URL is not yet an actionable record

Normalize, enrich, and deduplicate before handing it to a salesperson or AI agent.

How it works

Preserve the original source

The same profile has different value depending on whether it came from a visit, comment, search, or job post.