Company Data: 4 Plays to Enrich Firmographics at Scale

4 plays to enrich firmographics in 2026: official registries, LinkedIn, scrapers + the API shortcut.

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Finding company-level data (founding year, headquarters, industry, employee count, websites, social profiles) at scale is the boring-but-critical step before every outbound, every ABM list, every territory plan.

This cluster covers the 4 plays that work in 2026 : official registries, LinkedIn, scraping, and the API workflows that combine all three.

Why company data still matters

Most CRMs auto-enrich firmographics. Most are wrong on 30-60% of records. The 30% gap is where ICP fit goes from "match" to "false match" - and where outbound burns budget.

The data points that matter most

  • Industry / NAICS / NAF - wrong industry = wrong outreach angle
  • Headquarters country - drives compliance (GDPR, CCPA), localization, time zones
  • Founding year - proxy for stage, helps qualify "growth-stage" filters
  • Employee count - proxy for revenue, budget, decision-maker count
  • Website + social profiles - entry points for personalization + intent signals

Browse the guides

Pick the guide that matches the data point you need. Each one breaks down free + paid methods + the Derrick API shortcut when applicable.

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