This tutorial shows how to scrape LinkedIn company pages to CSV with a supervised, no-code workflow. You will prepare approved company URLs, run the LinkedIn company profile scraper from an authorized browser session, validate authwall diagnostics, and inspect company, people, and posts rows before using the export.
Start with the LinkedIn Company Profile Scraper template. This explains the template structure and first-run CSV validation.
Before you start
Prerequisites for scraping LinkedIn company data
You need UScraper installed as a local desktop app, the free LinkedIn company profile scraper template, a writable export folder, and a short list of LinkedIn company URLs your team is allowed to process. Open each company page manually first. If the same browser session cannot view the profile, About, People, or Posts tabs, the automation should not be expected to recover that data.
The workflow is built for one company profile at a time. It fits account research, company enrichment, competitor monitoring, and prospecting QA where a human still reviews the output. Stop on login, authwall, verification, or unusual-traffic screens.
Technical access is not permission. Review the current LinkedIn User Agreement, LinkedIn robots directives, privacy obligations, account rules, and your own legal basis before collecting or reusing company, employee, or post data.
Workflow shape
How the LinkedIn company profile scraper works
The JSON export is the authoritative workflow definition. It opens the overview page, waits, checks for login or verification elements, and chooses one of two branches. If LinkedIn blocks the session, UScraper writes blocked_by_linkedin_authwall_or_security_verification. If the page is accessible, it exports overview, then visits About, People, and Posts.
Set window size -> Navigate overview -> Wait -> Authwall check
-> Diagnostic export when blocked
-> Overview export -> About export -> People scroll/export -> Posts scroll/export
People and Posts include two scroll passes because LinkedIn loads visible lists progressively. The template captures what your browser session sees rather than promising a full company database.
Fields exported to CSV
The workflow uses one broad CSV shape so overview, about, people, posts, and diagnostic rows can live in the same file. Blank cells are normal when a row comes from a tab without that field type.
linkedin-company-scraper.csvColumn
scrape_status
Shows ok_overview_page, ok_about_page, visible-loaded page states, or authwall diagnostics.
Column
company_name
Company title from the profile top card or fallback value.
Column
website
External company website when LinkedIn exposes it.
Column
employees_count
Visible employee count text from overview or people views.
Column
employee_link
Loaded profile links from visible people cards, joined in one cell.
Column
post_body
Visible company post text collected from loaded post cards.
| Column group | Example fields | Validation check |
|---|---|---|
| Company profile | company_name, industry, company_intro, follow_count | Compare against the profile top card. |
| About details | about_us, website, company_size, headquarters, specialties | Open the About tab and verify each visible field. |
| Location | if_primary_location, address, address_link | Confirm map or location links are visible in the session. |
| People | employee_name, employee_intro, employee_link, avatar_url | Expect only loaded visible people cards. |
| Posts | poster, post_body, post_link, posted_date, like_count, comment_count | Spot-check several posts after scroll. |
Runbook
How to scrape LinkedIn company pages to CSV
Prepare approved company URLs
Build a short list of LinkedIn company pages. Prepare the overview URL plus matching /about/, /people/, and /posts/ URLs.
Import the template
Open the LinkedIn Company Profile Scraper, download the JSON template, and import it into UScraper.
Sign in before running
Use the browser profile you are authorized to use. Load the company manually first so you can detect verification screens.
Replace the sample company
Update the Navigate blocks for overview, About, People, and Posts. Keep the authwall check and waits in place.
Run, export, and validate
Check filename, save folder, headers, and append mode. Run one company, then compare company details, employee snippets, and post text against the browser.
Validate the CSV before scaling
Start with scrape_status. A healthy pass includes overview, about, people, and posts status values. If you see the authwall status, treat the run as blocked. Then compare company name, website, employee count, one employee link, and one post body against the browser before loading a CRM.
Alternatives
UScraper vs Python scripts, APIs, and cloud tools
There are several ways to collect LinkedIn company data. The right one depends on control, compliance, and maintenance.
| Approach | Best for | Trade-off |
|---|---|---|
| UScraper local desktop app | Analysts who want no-code setup, browser visibility, and local CSV output | You still maintain selectors when LinkedIn changes layout. |
| LinkedIn APIs | Approved integrations with contractual access to supported organization data | Access, permissions, and available fields depend on LinkedIn programs. |
| Python with Selenium or Playwright | Developers who need custom parsing and repeatable test code | Requires browser automation code, session handling, selectors, and QA. |
| Cloud scraper tools | Managed jobs, scheduling, and higher-volume infrastructure | Data runs through a vendor environment and pricing may vary by usage. |
If you searched for linkedin company scraper python, Python may fit a versioned engineering pipeline. If you searched for linkedin company page scraper tools or linkedin company scraper alternative, UScraper is simpler because the workflow is visible on the canvas and the CSV stays local unless you move it.
For more no-code scraping guides, browse the UScraper blog or compare adjacent templates in the template library.
FAQ
LinkedIn company scraper FAQ
LinkedIn company pages may show public business information, but automated access can still be restricted by LinkedIn's User Agreement, robots directives, account rules, privacy law, and local regulations. Use approved accounts, do not bypass access controls, and get legal review before commercial reuse.
Next step
Download the LinkedIn company profile scraper
Download the JSON from LinkedIn Company Profile Scraper, import it into UScraper, and run one approved company page as a validation batch. Once the CSV matches the browser, date the export folder and repeat the same QA checks for each new company set.