How-to guidesUpdated 5/13/2026

How to scrape LinkedIn company pages in 2026

LinkedIn company pages are the richest public source of firmographic data — industry tags, employee count ranges, founded years, headquarters, follower counts. Most B2B teams need this to score leads, plan ABM campaigns or build ICP-matched prospect lists.

Unlike profiles, small-medium company pages render fully without a cookie via JSON-LD. Big companies (Adobe, Apple, Microsoft) need a cookie because LinkedIn redirects them to the logged-in /posts/ view.

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What you get per company

Up to 15 structured fields with graceful fallbacks when LinkedIn rotates layouts.

Name + slug + canonical URL
Industry classification
Employee count range (e.g. "501-1,000")
Type (Public, Private, Partnership, Non-Profit)
Founded year
Headquarters (city, country)
Specialties (the tag list companies fill in)
Website URL (LinkedIn redirect-wrapper unwrapped)
Description (full About paragraph)
Logo URL + follower count

Two-stage fallback for big companies

For companies like Adobe the main URL redirects to /posts/ which has no structured info. Kavex detects this and automatically navigates to /company/<slug>/about/ where the dt/dd panel lives. Transparent to the customer.

Multi-language label matching

LinkedIn renders labels in the cookie-owner's locale: "Industry" in EN, "Bedrijfstak" in NL, "Branche" in DE, "Secteur" in FR, "Sector" in ES, "Settore" in IT. Kavex maps all six to canonical English field names so your CSVs are uniform.