LinkedIn Company Scraper: profiles, recent posts, office locations (no login)

Reads LinkedIn's public company pages, the version anyone sees without an account. No LinkedIn account, no cookies, no login.

Price: pay per result, at the rate shown in the pricing panel of this page, plus a very small per-run start fee. You are charged only for the results delivered.

What you get per company

One row with:

• Name, tagline, full description, website, LinkedIn URL, logo
• Industry, company size band, employees on LinkedIn (number), followers (number)
• Headquarters, structured address (street, city, region, postal code, country), organization type, founded year (when listed), specialties
• Every office location shown on the page (with a flag for the primary one)
• Similar companies (name + LinkedIn URL) for lead discovery
• The recent posts shown on the page (date, text, likes, link). Turn off with includePosts: false.

Inputs

• companies: LinkedIn company URLs or bare slugs (https://www.linkedin.com/company/stripe, https://uk.linkedin.com/company/revolut, stripe). Duplicates are collapsed.
• expandSimilar: also scrape each company's "similar pages", breadth first, until maxCompanies rows. Each discovered row has discoveredFrom set to the company that led to it.
• maxCompanies: 1 to 1000 (default 100).
• includePosts, proxyConfiguration (default: Apify datacenter proxy).

Output notes

• Public page data only. No employee lists and no people are collected. Email addresses and phone numbers that appear in the company's free text (description, tagline, specialties, post text) are replaced with [email redacted] / [phone redacted]; a company's own office phone inside a location address is kept.
• If LinkedIn answers with a redirect to another company URL, the actor follows it once. Unresolvable redirects are recorded in FAILURES as redirect_unresolved and do not make the run incomplete.
• Companies that do not exist (HTTP 404), inputs that are not company URLs, and pages LinkedIn refuses to serve are written to the FAILURES record in the key-value store and are not charged.
• The recent posts are only the handful LinkedIn shows on the public page (about 2 to 10), not a post archive.
• The number of locations varies from none to dozens (in the captured test set: Anthropic 0, Revolut 1, Stripe 14, Microsoft 45). Fields LinkedIn does not show for a company are null (or []).

Run summary and limits

The RUN_SUMMARY record has complete, terminationReason (finished, max_results, charge_limit, time_budget, blocked, request_failed) and rowsPushed. A very large run may stop early before the run timeout; the summary then says time_budget and what was written is kept.

Requests are sequential with a 2 second pause (about 10 companies a minute at the recommended 512 MB memory; a run of 100 companies takes roughly 10 minutes). If LinkedIn answers with a block (HTTP 999, 429, 403 or a sign-in wall) the actor records it, does not retry and does not try to get around it. If more than 20% of requests are blocked (checked every 10 requests) the run stops with a clear message and keeps the rows already written.

Example row (trimmed)

{
  "name": "Stripe", "slug": "stripe", "linkedinUrl": "https://www.linkedin.com/company/stripe",
  "tagline": "Help increase the GDP of the internet.", "website": "https://stripe.com",
  "industry": "Technology, Information and Internet", "companySize": "5,001-10,000 employees",
  "employeesOnLinkedIn": 16694, "followers": 1772717, "headquarters": "South San Francisco, California",
  "foundedYear": 2010, "locations": [{"isPrimary": true, "address": "354 Oyster Point Blvd, South San Francisco, California 94080, US"}],
  "similarCompanies": [{"name": "Atlassian", "url": "https://au.linkedin.com/company/atlassian"}],
  "recentPosts": [{"datePublished": "2026-10-15T16:14:02.796Z", "likes": 18}],
  "discoveredFrom": null
}

(Counts such as followers change daily; the example is from a captured page.)

Good for

linkedin company scraper, linkedin company data, linkedin company profile, company enrichment, b2b leads, firmographics, linkedin company posts, competitor research, company employee count.

Use of the data is your responsibility; check LinkedIn's terms and the laws that apply to you.