Linkedin Company About Page Scraper avatar

Linkedin Company About Page Scraper

Pricing

from $5.00 / 1,000 results

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Linkedin Company About Page Scraper

Linkedin Company About Page Scraper

Scrapes LinkedIn company "About" pages for: company name, description, tagline, website URL, phone number, employee count, founding year, specialties, headquarters address, industries, and unique identifiers.

Pricing

from $5.00 / 1,000 results

Rating

5.0

(2)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Actor stats

0

Bookmarked

9

Total users

2

Monthly active users

7 hours ago

Last modified

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LinkedIn Company About Scraper

Explore our complete suite of LinkedIn scraping tools:

How it works

This actor is designed to extract comprehensive information from LinkedIn company "About" pages, capturing details such as company overview, industry, company size, headquarters location, specialties, website, and other key company information.

Features

This actor offers the following features:

  • Multiple Company Scraping: Capable of scraping data from multiple LinkedIn company About pages. Input can either be formatted as https://www.linkedin.com/company/{company-name}/about/ or you can directly copy and paste the company's LinkedIn URL.
  • Authentication Requirement: To enable more extensive scraping capabilities, users are required to log in using cookie-based authentication.
  • Customizable Configuration: Offers adjustable settings including max items to scrape, scroll delays, and proxy configuration to cater to a wide range of data extraction requirements.
  • Rate Limiting: Built-in delay mechanisms (minDelay and maxDelay) to avoid getting blocked by LinkedIn.

How to Use

  1. Set Up: Ensure you have an Apify account and access to the Apify platform.
  2. Install Cookie-Editor (there is option to Export cookies as JSON) or EditThisCookie chrome extension.
  3. Login to your Linkedin account
  4. While you are on Linkedin tab, Click on the extension and export the cookies. Cookies are used to authorize actor with Linkedin.com site. Install any (or all) of the following chrome extensions to copy cookies:
  5. Paste the cookies to this actor's Cookie input field. Note: The minimal cookies required are li_at and JSESSIONID. The script will not work without both of these cookies present! If you are only adding the necessary cookies, use the following format:
    [
    "li_at=AQEDAVlyxjIBq-akAAABlg7eWgUAAAGWzWwP51YAihE_vTW5ImH3kVVIsE2U1cZw7N4nscZzYDE-XZfYKCVgtPEI5hlH-c8f02mx-dmHLTq2kDrcwNBAdWw8ZaI3UdyvxFA9Xtq7iaKQaulazJV26FpC",
    "JSESSIONID='ajax:4947018518935300273'"
    ]
  6. Specify the LinkedIn company URL you want to scrape. Input your search URLs in the format https://www.linkedin.com/company/{company-name}/about/ or search results URLs. You can add multiple URLs for a broader search scope.
  7. (Optional) Configure proxy settings for enhanced reliability.
  8. Run the actor and obtain the extracted data in your preferred format.
  9. Data Collection: The scraper will output data in your chosen format, which can include JSON, HTML, CSV, Excel, or others as supported by Apify.

Input Data

Here's a simple example of how to set up a search for company About page details in LinkedIn:

{
"cookies": [
"li_at=AQEDAVlyxjIBq-akAAABlg7eWgUAAAGWzWwP51YAihE_vTW5ImH3kVVIsE2U1cZw7N4nscZzYDE-XZfYKCVgtPEI5hlH-c8f02mx-dmHLTq2kDrcwNBAdWw8ZaI3UdyvxFA9Xtq7iaKQaulazJV26FpC",
"JSESSIONID='ajax:4947018518935300273'"
],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
},
"startUrls": [
{
"url": "https://www.linkedin.com/search/results/groups/?keywords=ai&origin=SWITCH_SEARCH_VERTICAL&sid=%3B6O"
},
{
"url": "https://www.linkedin.com/company/aalbers-wico",
},
{
"url": "https://www.linkedin.com/company/aanhuis/about/"
}
],
"maxItems": 100,
"minDelay": 3,
"maxDelay": 15
}

Input Parameters

  • startUrls (required): Array of URLs to start scraping from. Can be company About pages or search results.
  • cookies (required): Array of LinkedIn cookies for authentication. Minimum required: li_at and JSESSIONID.
  • maxItems (optional): Maximum number of companies to scrape per crawl. Default: 100.
  • minDelay (optional): Minimum delay in seconds before scrolling. Default: 3.
  • maxDelay (optional): Maximum delay in seconds before scrolling. Default: 15.
  • proxy (optional): Proxy configuration for enhanced reliability and to avoid blocking.

Output Structure

The output data typically includes:

[
{
"entityUrn": "urn:li:fsd_company:1678137",
"url": "https://www.linkedin.com/company/1678137/about/",
"name": "aalbers|wico",
"universalName": "aalbers-wico",
"description": "aalbers|wico is een gerenommeerd familiebedrijf, opgericht in 1966. Op onze locaties in Renswoude beschikken we over ruim 15.000 m2 aan vloeroppervlakte, een gevarieerd en geavanceerd machinepark, een eigen R&D-afdeling en een eigen testcentrum. Onze organisatie biedt werk aan meer dan 100 deskundige vakmensen binnen twee zelfstandig opererende divisies: defence & security en metaal & techniek.",
"tagline": "Maatwerk in metaalbewerking. Samen voor onze klant",
"phoneNumber": "0318 - 571 411",
"phoneExtension": null,
"websiteUrl": "http://www.aalberswico.nl",
"callToAction": {
"displayText": "Contact opnemen",
"type": "VIEW_CONTACT_INFO",
"url": "http://www.aalberswico.nl",
"visible": true
},
"employeeCount": 50,
"employeeCountRange": {
"start": 51,
"end": 200,
"$recipeTypes": [
"com.linkedin.2e66b46b846d3942f0cac8834cc6cb29"
],
"$type": "com.linkedin.common.IntegerRange"
},
"foundedOn": {
"month": null,
"year": 1966,
"day": null,
"$recipeTypes": [
"com.linkedin.789e123c8539cf8fcb54fb29c4287d16"
],
"$type": "com.linkedin.common.Date"
},
"specialities": [
"Bouwkundige beveiliging",
"Structural security",
"Metaalbewerking; Metaalproducten; Metalen constructies; Complete machines",
"Metalwork; Metal products; Metal constructions; Complete machines"
],
"headquarter": {
"description": "Renswoude The Netherlands",
"address": {
"country": "NL",
"geographicArea": null,
"city": "Renswoude",
"postalCode": null,
"line2": null,
"$recipeTypes": [
"com.linkedin.7a71636b23bb6b03997b4d045d0bf1d3"
],
"line1": "Molenstraat 18",
"$type": "com.linkedin.common.Address"
},
"headquarter": true
},
"industries": []
}
...
]

Output Fields Explanation

  • entityUrn: LinkedIn's unique identifier for the company entity
  • url: Direct URL to the company's About page on LinkedIn
  • name: Official company name as displayed on LinkedIn
  • universalName: URL-friendly version of the company name used in LinkedIn URLs
  • description: Full company description/overview text from the About section
  • tagline: Company's tagline or slogan
  • phoneNumber: Company's contact phone number
  • phoneExtension: Phone extension if available (can be null)
  • websiteUrl: Company's official website URL
  • callToAction: Object containing call-to-action button information
    • displayText: Text displayed on the CTA button
    • type: Type of action (e.g., VIEW_CONTACT_INFO)
    • url: URL the CTA button links to
    • visible: Whether the CTA is visible to users
  • employeeCount: Approximate number of employees
  • employeeCountRange: Object with employee count range
    • start: Lower bound of employee count range
    • end: Upper bound of employee count range
  • foundedOn: Object containing company founding date
    • year: Year the company was founded
    • month: Month founded (can be null if not specified)
    • day: Day founded (can be null if not specified)
  • specialities: Array of company specialties and focus areas
  • headquarter: Object containing headquarters information
    • description: Text description of headquarters location
    • address: Detailed address object
      • country: Country code (e.g., "NL" for Netherlands)
      • city: City name
      • line1: Primary address line (street and number)
      • line2: Secondary address line (can be null)
      • postalCode: Postal/ZIP code (can be null)
      • geographicArea: State/province/region (can be null)
    • headquarter: Boolean indicating if this is the headquarters location
  • industries: Array of industries the company operates in

Support

Additional Services

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/linkedin-company-about-scraper).

Purpose: Extract company profile data from LinkedIn company About pages (linkedin.com/company/{name}/about/) using your own LinkedIn session cookies — one dataset row per company.

Minimal input:

{
"startUrls": [{ "url": "https://www.linkedin.com/company/aalbers-wico/about/" }],
"cookies": [
"li_at=YOUR_LI_AT_COOKIE",
"JSESSIONID=\"ajax:YOUR_JSESSIONID\""
],
"maxItems": 20,
"proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output: one dataset row per company — entityUrn, url, name, universalName, description, tagline, phoneNumber, phoneExtension, websiteUrl, callToAction {displayText, type, url, visible}, employeeCount, employeeCountRange {start, end}, foundedOn {year, month, day}, specialities, headquarter {description, address {country, city, line1, line2, postalCode, geographicArea}, headquarter}, industries.

Behaviors an agent should know:

  • Requires valid LinkedIn cookies — both li_at and JSESSIONID must be present, or the run returns no data. Use fresh cookies each run.
  • startUrls accept company URLs (…/company/{name}/ or …/company/{name}/about/) and LinkedIn search-results URLs.
  • Set maxItems to cap; default is 100 companies per run.
  • minDelay / maxDelay (seconds) throttle scrolling to reduce block risk.
  • Residential proxy (useApifyProxy + RESIDENTIAL) is recommended for stable access.
  • Billing: Pay-per-event billing — see the Pricing tab on the actor page.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or its parent, Microsoft Corporation. All trademarks mentioned are the property of their respective owners.

The scraper reads company About pages using LinkedIn session cookies that you supply from your own account; it accesses only pages your logged-in account can already view and does not bypass authentication, defeat access controls, or reach private or restricted data. You are responsible for ensuring your use complies with LinkedIn's User Agreement and Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of your own organization.

SEO Keywords

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