LinkedIn Company Scraper

Convert known LinkedIn company handles or URLs into structured public company dossiers.

I built LinkedIn Company Scraper for the research step after a company list already exists. Instead of mixing discovery and enrichment, it focuses on collecting the public facts needed to compare organizations consistently.

What belongs in a company dossier

The useful record goes beyond a name and logo: industry, employee range, headquarters, specialties, website, description, locations, funding information when visible, related organizations, and recent updates can all contribute context.

Handles in, comparable rows out

Use a company handle or a full /company/ URL. Batch related organizations together and cap early test runs with maxItems.

Batch company lookup

Enter one or more LinkedIn company handles or /company/ URLs and fetch the full public company page for each.

Field	Type	Required	Description
company_handle	array	Yes	LinkedIn company handles or /company/ URLs to fetch company details for.
maxItems	integer	No	Maximum number of companies to fetch. Set to 0 for no item limit.

Example lookup list

{
  "company_handle": [
    "microsoft"
  ],
  "maxItems": 20
}

Inspect coverage before building a score

Identity

Field	Type	Description
company_handle	string	LinkedIn company handle used to fetch this record.
name	string	Company name.
industry	string	Industry shown on the company page.
tagline	mixed	Company tagline, when set.
description	string	Company description/about text.
website	string	Company website URL.
logo	string	Company or job poster logo URL.

Company facts

Field	Type	Description
company_size	string	Employee count range shown on the company page.
headquarters	string	Headquarters location.
type	string	Company type, e.g. Public Company.
founded	mixed	Year founded, when shown.
phone	mixed	Company phone number, when shown.
specialties	string	Comma-separated specialties listed on the company page.
address	object	Company headquarters address.

Network

Field	Type	Description
followers	number	Follower count.
employee_count	number	LinkedIn employee count for the company.
similar_pages	array	Similar companies shown on the company page.
affiliated_pages	array	Affiliated company or showcase pages.

Content

Field	Type	Description
updates	array	Recent company page updates with reaction and comment counts.
activity	array	Recent posts and articles shown on the profile or company page.
jsonld	object	Structured schema.org data embedded in the page.

Short company preview

{
  "company_handle": "microsoft",
  "name": "Microsoft",
  "industry": "Software Development",
  "headquarters": "Redmond, Washington",
  "followers": 28611916,
  "website": "https://news.microsoft.com/"
}

Not every company publishes every section. I recommend preserving missing values as missing and scoring only fields with enough coverage across the comparison set.

Cost of a bounded company batch

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Start with a low maxItems value before enabling enrichment for large runs.

Public company data and compliance

This Actor extracts publicly available LinkedIn profile information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, LinkedIn terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer.

Run this Actor from code

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("thenetaji/linkedin-company-scraper").call(run_input={
    "company_handle": [
        "microsoft"
    ],
    "maxItems": 20
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("thenetaji/linkedin-company-scraper").call({
  "company_handle": [
    "microsoft"
  ],
  "maxItems": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Connect company research to hiring and content

• LinkedIn Jobs Scraper — Search LinkedIn jobs by keyword and location with date, experience, job-type, and workplace filters, paginate through results, and optionally enrich each job with the full posting.
• LinkedIn Profile Scraper — Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.
• LinkedIn Post Scraper — Fetch full public LinkedIn post details — text, author, reactions, comments, and media — for one or more post, activity, or article URLs.

Direct maintainer feedback

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.