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Automating Company Data Enrichment for a Professional Community Platform

PF

The Problem

PF runs a curated community platform for professionals and maintains a database of over 40,000 companies to support their members. Keeping that data accurate and complete across their client CRM was a significant operational burden. Their team was manually researching and updating company profiles one by one, covering funding details, HQ location, social links, employee count, and investor relationships. They had a 3rd party data subscription with deep company intelligence already in place, but no connection between it and the client CRM. The two systems sat entirely separate, with a human in the middle.

The Solution

I designed and built two automated enrichment workflows in n8n that connect the 3rd party data subscription directly to the client CRM. The first workflow triggers automatically whenever a new company is added to the client CRM. It extracts the company domain, queries the 3rd party data subscription for a full profile, and writes the results back across multiple data fields including funding stage, total raised, investor relationships, HQ location, employee headcount, and social profiles. The second workflow handles bulk enrichment across the full 40,000 company database, processing records in rolling batches of 25. It self-triggers the next batch on completion and posts progress updates to the team via Microsoft Teams throughout the run. Both workflows include intelligent error handling, automatic retries on write failures, and a flag on each record to track enrichment status so nothing is processed twice.

The Outcome & Value Delivered

PF now has a continuously enriched company database updated without any manual effort. New companies added to the client CRM are enriched within seconds of being created. The team receives real-time Teams notifications on batch progress and completion, and the enrichment status flag gives them a clear view of data coverage across all 40,000 records at any point. What previously required hours of manual research each week now runs entirely in the background, keeping the client CRM accurate and current as the community grows.