LinkedIn Company Scraper: Details, Employees & Posts

Scrape LinkedIn company pages with no login, no cookies and no LinkedIn account. Give it company URLs, websites or names and get one clean row per company plus its latest posts:

• Company details: name, tagline, description, industry, company size, employee count on LinkedIn, followers, headquarters, full address, website, founded year, company type, specialties, logo
• Every office location listed on the page
• Similar companies LinkedIn shows next to it (name, industry, location, link): a ready list of competitors and lookalikes
• Latest posts: date, text, media type, reactions, comments, hashtags, links, and whether it is a repost
• Posting activity per company: posts per week, days since the last post, average reactions and comments, best post
• Find companies three ways: LinkedIn URL, website (stripe.com), or name (Stripe)

What does this LinkedIn company scraper do?

Stripe · Technology, Information and Internet · 5,001-10,000 employees
 16,622 employees on LinkedIn · 1,755,009 followers · founded 2010
 HQ 354 Oyster Point Blvd, South San Francisco · 14 offices
 Latest post 1 day ago · 5.7 posts a week · 359 reactions on average

1. Paste companies: LinkedIn company URLs, websites or names, as many as you like.
2. The scraper opens each public LinkedIn company page, the same page anyone sees without logging in.
3. You get one row per company and, in a second table, one row per recent post.

flowchart LR
    A[LinkedIn URL] --> D[Public company page]
    B[Website<br/>stripe.com] -->|LinkedIn link on the site,<br/>or guessed and checked| D
    C[Name<br/>Stripe] -->|guessed and checked| D
    D --> E[Companies<br/>details, size, followers,<br/>HQ, offices, similar]
    D --> F[Posts<br/>text, date, reactions,<br/>comments]

Who is it for?

• Sales and lead generation teams: enrich a list of accounts with industry, size, employee count, HQ and website before outreach
• Recruiters and staffing agencies: size up target employers and see who is growing
• Marketers and social media managers: benchmark competitors' LinkedIn followers, posting frequency and engagement
• Investors and analysts: track company size and activity across a portfolio or a market
• CRM and data teams: keep company records fresh with a scheduled run

What data do you get?

Companies (default dataset, one row per company)

Field	What it tells you
companyName, tagline, description, logoUrl	Who they are
industry, companySize, employeesOnLinkedIn	How big: LinkedIn's size band and the number of people who list the company
followers	LinkedIn followers
headquarters, address, locations	HQ city, full HQ address (street, city, region, postal code, country) and every office listed
website, founded, organizationType, specialties	Website, year founded, public or private, what they do
similarCompanies	Name, industry, location and link of each company LinkedIn lists as similar
affiliatedPages	Showcase and subsidiary pages
postsOnPage, repostsOnPage, latestPostAt, daysSinceLastPost, postsPerWeek	How active the page is
avgReactions, avgComments, topPostUrl, topPostReactions	How well their posts land
input, matchedBy, matchConfidence, linkedinUrl, slug	What you typed and how the page was found

Posts (second dataset, one row per post)

Field	What it tells you
companyName, companyLinkedinUrl	Whose post
postedAt, url, postId	When, and the link to the post
text, mediaType, hashtags, links	What it says: text, image, video, article or document
reactions, comments	Engagement
isRepost, originalAuthor, originalAuthorUrl	Reposts of other organizations and who wrote them

Example: 7 October 2026

183 companies in 5 minutes 46 seconds: 181 found, 1,560 posts.

Company	Followers	Employees on LinkedIn	Industry
Netflix	12,156,238	19,040	Entertainment Providers
Goldman Sachs	6,156,543	67,001	Financial Services
Canva	2,853,687	20,413	Software Development
Toyota Motor Corporation	2,389,106	40,743	Motor Vehicle Manufacturing
Stripe	1,755,165	16,622	Technology, Information and Internet
Vercel	265,633	1,027	Software Development

Across the 181 companies: followers, industry and size on every row, website on 179, HQ address on 176, a recent post on 172, founded year on 106.

Pricing

$0.003 per company and $0.001 per post.

• 100 companies, details only: $0.30
• 100 companies with their latest posts (about 8 each): about $1.15
• The run above (181 companies, 1,560 posts): $2.10

Turn off Latest posts to pay for company rows only. Companies that are not found cost nothing.

How companies are found

You give	What happens
LinkedIn URL (linkedin.com/company/stripe, any country subdomain)	Read directly. The most reliable input
Website (stripe.com)	The LinkedIn link on the site is followed. Many sites add that link with JavaScript, so if none is found the LinkedIn page is guessed from the domain and kept only if its own website field points back to your domain
Name (Stripe)	Tried the way LinkedIn names pages (stripe, stripe-inc, stripehq...) and kept only if the page name fits: "Toyota" finds "Toyota Motor Corporation", but "Uber" does not take the page of "Uber Agency"

matchedBy tells you which way each company was found. A name match on a small page whose website does not carry the name is marked matchConfidence: low: look-alike pages exist on obvious names. Anything not found is listed in RUN_SUMMARY with the reason.

Good to know

• Latest posts only: LinkedIn shows logged-out visitors the most recent posts of a company, usually 5 to 10. This is a tool for monitoring recent activity, not a full post archive. Schedule it weekly to build your own history.
• No people: employee names and profiles are never collected, and posts written by individual people are never saved, even when the company reposted them.
• Page language: some pages are shown in their owner's language (for example "seguidores" instead of "followers"). Numbers are read correctly either way; text fields such as company type stay as LinkedIn shows them.
• Speed: about 2 seconds per company with posts. If LinkedIn asks the run to slow down, it waits a few seconds and tries again (14 retries in the 183-company run above).
• Duplicates in your list are read once.
• Data comes from LinkedIn's public company pages. Not affiliated with LinkedIn.

Input

Field	Meaning
Companies	LinkedIn URLs, websites or names, one per line
Latest posts	On by default; saves recent posts to the Posts dataset
Include reposts	On by default; posts the company reposted from other organizations
Posts from the last	Any time, 24 hours, 7, 14, 30 or 90 days

Integrations

Export to JSON, CSV, Excel or Google Sheets, or connect through the Apify API, webhooks, Make, Zapier and n8n. Schedule it weekly over your account list to keep CRM records fresh, or daily over competitors with "Posts from the last 24 hours" for a feed of their new posts.