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LinkedIn Company Profile Scraper for CSV Export logo

LinkedIn Company Profile Scraper for CSV Export

This LinkedIn company profile scraper exports company profile, about, people, and posts data into a structured CSV from an authorized browser session. Import the workflow into the UScraper local desktop app, set the target company URL, and collect reviewable rows without building a custom LinkedIn parser.

Output

CSV

Columns

28

Views

4 pages

Waits

Built in

Template

Free

At a glance

Scrape LinkedIn companies into a local CSV

The workflow starts on a LinkedIn company profile, checks whether LinkedIn has redirected the session to login or verification, and then follows the safe branch for the page state it sees. When the page is accessible, UScraper exports overview fields first, then navigates to the About, People, and Posts tabs for deeper profile data.

Use it for LinkedIn research, company list enrichment, partner scouting, competitor monitoring, and lightweight social proof checks. The template is best for analysts who already have approved LinkedIn access and need a repeatable CSV export rather than a cloud actor or API integration.

Company profile fields

Capture company name, industry, intro text, follower count, website, company size, headquarters, type, founded year, specialties, and location details when visible.

Visible employee signals

Collect loaded people-card names, intros, profile links, and avatar URLs for account mapping or manual review.

Recent post context

Export visible post authors, body text, post links, dates, media URLs, likes, comments, and follower counts from the company posts view.

Authwall diagnostics

If LinkedIn blocks the run, the CSV still records blocked_by_linkedin_authwall_or_security_verification with the page URL and guidance.

Who this is for

Use cases for LinkedIn company profile data

Revenue teams

Account research

Favorable to scraping

Build a quick company snapshot before outreach: profile intro, website, employee count, headquarters, and recent post themes.

Market researchers

Benchmarking

Favorable to scraping

Compare public LinkedIn stats, visible posts, and profile positioning across a small set of competitors or partners.

Agencies

Client discovery

Favorable to scraping

Export company profiles to CSV, then enrich or clean the file in spreadsheets before adding notes to a CRM.

For adjacent workflows, pair this page with the LinkedIn Jobs Scraper, LinkedIn Posts Scraper, and Social Media Scraping Tool. Browse the template library when you need search, marketplace, or directory extractors around the same account list.


How to use

Configure the LinkedIn company scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Sign in to LinkedIn

Open the local browser profile you are authorized to use and confirm the target company page loads normally before running the scraper.

3

Change the company URL

Replace the sample Nestle Professional URL in the Navigate blocks with the company profile, About, People, and Posts URLs you want to review.

4

Confirm the export path

Structured Export writes linkedin-company-scraper.csv with headers on the first export and append mode for the later tabs.

5

Run and inspect

UScraper navigates, waits, scrolls People and Posts twice, appends structured rows, and lets you open the CSV for spot checks.

Output preview

LinkedIn company CSV fields

The CSV uses one broad field set so company, people, posts, and diagnostic rows can live in the same file. Blank cells are expected when a row comes from a page that does not contain that data type.

page_urlscrape_statuscompany_nameindustryemployees_countemployee_nameposterpost_body
/company/acme/about/ok_about_pageAcme AnalyticsSoftware Development501-1,000 employees
/company/acme/people/ok_people_page_visible_loaded_recordsAcme Analytics742 employeesPriya Shah | Marco Lee
/company/acme/posts/ok_posts_page_visible_loaded_recordsAcme AnalyticsAcme AnalyticsProduct launch update and event details
linkedin-company-scraper.csv
CSV - UTF-8 - Append

Column

scrape_status

Shows ok_overview_page, ok_about_page, visible-loaded page states, or authwall diagnostics.

Column

company_name

Company title from the top card or fallback value.

Column

website

External company website when LinkedIn exposes it.

Column

employee_link

Visible profile links joined for the people page row.

Column

post_body

Visible post text collected from loaded company post cards.

Column

like_count

Reaction count parsed from visible post text when available.

Headers included on the first export; later tabs append rows into the same local file

Frequently asked questions

LinkedIn company pages can contain publicly visible business information, but automated access may still be restricted by LinkedIn's User Agreement, robots directives, privacy law, and local regulations. Use approved accounts, modest pacing, and legal review before commercial reuse.

Before you run

Practical limits and maintenance notes

Keep these LinkedIn constraints visible

Rate limits

Avoid aggressive account activity

Run small batches, keep waits in place, and pause when LinkedIn shows verification, unusual traffic, or empty page states.

Layout drift

Profile markup can change

Empty exports or missing post fields usually mean LinkedIn changed a page module, hid data from the session, or loaded fewer cards than expected.

Policy

Respect account and data-use rules

Do not bypass access controls, collect private data, or republish personal information without a lawful basis and an internal compliance review.

Download the template, install the desktop app from UScraper download, and use this workflow when you need to export LinkedIn company profiles to CSV for structured research.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]