LinkedIn Company Scraper (Public Company Pages)

What is LinkedIn Company Scraper?

LinkedIn Company Scraper reads public LinkedIn company pages by URL or slug and returns one clean row per company: name, industry, company size, headquarters, founded year, website, specialties, follower count, logo, office locations, similar companies and the company description. It runs without a LinkedIn login and reads only the public company page (the guest view). It does not read people profiles, employee lists or email addresses.

What data does LinkedIn Company Scraper extract?

Field	Type	Source on the public page
name	string	Company title
industry	string	"Industry" in the overview list
companySize	string	"Company size", e.g. 10,001+ employees
employeeCount	number	Employee count in the page's JSON-LD block
headquarters	string	"Headquarters"
founded	number	"Founded" (null when LinkedIn does not show it)
websiteUrl	string	"Website" (LinkedIn redirect unwrapped)
followers	number	Follower count under the title
specialties	array	"Specialties", split into a list
locations	array	Office locations list
similarCompanies	array	"Similar pages" (name and URL)
description	string	About text
tagline	string	Headline under the name, only when it differs from the industry
logoUrl	string	Company logo
companyType	string	"Type", e.g. Public Company
slug, url, linkedinUrl	string	Company identity
source, scrapedAt	string	Source tag and UTC scrape time

Fields the page does not show for a company come back as null or []. They are never guessed.

Not verified: the public page does not show a separate slogan, so tagline is usually null. employeeCount is the number LinkedIn publishes in its page data and is not checked against other sources.

How to use LinkedIn Company Scraper

1. Open the actor in Apify Console and paste company URLs or slugs into Companies, for example https://www.linkedin.com/company/microsoft or microsoft.
2. Separate several companies with new lines or ;. Up to 100 companies per run.
3. Leave Proxy mode on auto. The run uses direct requests and switches to the Residential proxy only if LinkedIn blocks them.
4. Start the run and download the dataset as JSON, CSV or Excel.
5. Set a max total charge if you want a cap. The run stops before it exceeds the cap.

Example input

{
    "companies": ["https://www.linkedin.com/company/microsoft", "openai", "vercel"],
    "proxyMode": "auto"
}

Example output

One row from a real cloud run (2026-10-23, Apify datacenter, direct, no proxy):

{
    "slug": "microsoft",
    "name": "Microsoft",
    "industry": "Software Development",
    "companySize": "10,001+ employees",
    "employeeCount": 231136,
    "headquarters": "Redmond, Washington",
    "founded": null,
    "websiteUrl": "https://news.microsoft.com/",
    "followers": 29348862,
    "specialties": ["Business Software", "Developer Tools", "Home & Educational Software"],
    "companyType": "Public Company",
    "similarCompanies": [{ "name": "Google", "url": "https://www.linkedin.com/company/google" }]
}

Cloud run check: 14 companies in one run (Google, Microsoft, Apple, Amazon, Meta, OpenAI, Vercel, Stripe, Shopify, Spotify, Netflix, NVIDIA, Cloudflare, GitHub) returned 14 rows and status SUCCEEDED. Field fill in that run: industry, companySize, employeeCount, followers, logoUrl 14/14; headquarters 13/14 (Amazon had none on the page); founded 9/14; websiteUrl 13/14; tagline 0/14.

Input parameters

Parameter	Type	Default	Description
companies	array	["microsoft"]	Company URLs or slugs. Other input is skipped and reported in the log.
proxyMode	string	auto	auto, never (direct only) or always (Residential from the start).

Pricing

Pay per result (pay-per-event). You pay for each company row written to the dataset, plus a small one-time start fee per run.

• Price: $0.0035 per company on the Free tier, with volume tiers down to $0.0021 (Gold to Diamond).
• Start fee: $0.00005 per run.
• Public leader for comparison: harvestapi/linkedin-company charges $0.004 per company (checked on the Apify public API, 2026-10-23).
• Measured cost: one 14-company run used $0.001 of platform usage (CLI default 4 GB memory). That is about $0.00007 per company, so the margin is far above 70%. Cost with the 512 MB default was not measured.

LinkedIn Company Scraper vs. alternatives

This actor needs no LinkedIn login and reads only the public company page. Its price is below the public leader (see Pricing). Other tools were not benchmarked, so no comparison of their results or reliability is made here. Risk: LinkedIn can change the page layout; the run then reports the page as unrecognised instead of guessing.

Using LinkedIn Company Scraper with AI agents / MCP

The actor is pay-per-event, so AI agents can call it through the Apify MCP server. Pass companies as a list of URLs or slugs and read the dataset rows. Each row has a stable slug for joins.

FAQ

Does it need a LinkedIn login or cookies? No. It reads the public company page the same way a logged-out visitor does.

Does it return people, employees or emails? No. Only company pages are read. Employee names and profile links are not returned.

Why is tagline empty? The public page shows the industry under the name, not a separate slogan. The field is filled only when the page shows a headline that differs from the industry.

What happens when LinkedIn blocks a request? The run waits and retries. In auto mode it then switches to the Residential proxy. A company that still cannot be read is reported in the run log and skipped.

Can it run on a schedule? Yes. Use Apify Schedules with the same input.

Which errors can I see? A company that does not exist is logged as "page not found" and skipped. An input that is not a company URL or slug is logged and skipped. A run with no readable company fails with a message that says why.

Related Actors

Other actors in this series (Yan PC / WebDataTools): LinkedIn Jobs Scraper, Trendyol Scraper.

Support

Use the Issues tab in the actor page on Apify Console. Include the run ID and the input you used.