Pricing

Pay per event

LinkedIn Company Profiles Scraper

Extract detailed company data from LinkedIn profiles including name, industry, size, employee count, headquarters, website, funding info, and 25+ fields. Supports batch processing with residential proxy rotation for reliable scraping of public company pages.

Pricing

Pay per event

Rating

0.0

(0)

Developer

ParseForge

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Categories

Lead generation

Marketing

Other

You can access the LinkedIn Company Profiles Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "companyUrls": [
10        "https://www.linkedin.com/company/apple/",
11        "https://www.linkedin.com/company/google/",
12        "https://www.linkedin.com/company/microsoft/",
13        "https://www.linkedin.com/company/amazon/",
14        "https://www.linkedin.com/company/meta/",
15        "https://www.linkedin.com/company/netflix/",
16        "https://www.linkedin.com/company/tesla/",
17        "https://www.linkedin.com/company/spacex/",
18        "https://www.linkedin.com/company/nvidia/",
19        "https://www.linkedin.com/company/ibm/",
20        "https://www.linkedin.com/company/oracle/",
21        "https://www.linkedin.com/company/salesforce/",
22        "https://www.linkedin.com/company/adobe/",
23        "https://www.linkedin.com/company/intel/",
24        "https://www.linkedin.com/company/cisco/",
25        "https://www.linkedin.com/company/deloitte/",
26        "https://www.linkedin.com/company/accenture/",
27        "https://www.linkedin.com/company/pwc/",
28        "https://www.linkedin.com/company/kpmg/",
29        "https://www.linkedin.com/company/ey/",
30        "https://www.linkedin.com/company/goldmansachs/",
31        "https://www.linkedin.com/company/jpmorgan/",
32        "https://www.linkedin.com/company/morganstanley/",
33        "https://www.linkedin.com/company/wellsfargo/",
34        "https://www.linkedin.com/company/citi/",
35        "https://www.linkedin.com/company/barclays/",
36        "https://www.linkedin.com/company/ubs/",
37        "https://www.linkedin.com/company/hsbc/",
38        "https://www.linkedin.com/company/santander/",
39        "https://www.linkedin.com/company/americanexpress/",
40        "https://www.linkedin.com/company/visa/",
41        "https://www.linkedin.com/company/mastercard/",
42        "https://www.linkedin.com/company/paypal/",
43        "https://www.linkedin.com/company/stripe/",
44        "https://www.linkedin.com/company/square/",
45        "https://www.linkedin.com/company/the-coca-cola-company/",
46        "https://www.linkedin.com/company/pepsico/",
47        "https://www.linkedin.com/company/mcdonalds/",
48        "https://www.linkedin.com/company/starbuckscorporation/",
49        "https://www.linkedin.com/company/nike/",
50        "https://www.linkedin.com/company/adidas/",
51        "https://www.linkedin.com/company/pumagroup/",
52        "https://www.linkedin.com/company/under-armour/",
53        "https://www.linkedin.com/company/inditex/",
54        "https://www.linkedin.com/company/h&m/",
55        "https://www.linkedin.com/company/ikea/",
56        "https://www.linkedin.com/company/toyota/",
57        "https://www.linkedin.com/company/honda/",
58        "https://www.linkedin.com/company/ford/",
59        "https://www.linkedin.com/company/generalmotors/",
60    ],
61    "maxItems": 10,
62    "proxyConfiguration": {
63        "useApifyProxy": True,
64        "apifyProxyGroups": ["RESIDENTIAL"],
65    },
66}
67
68# Run the Actor and wait for it to finish
69run = client.actor("parseforge/linkedin-company-profiles-scraper").call(run_input=run_input)
70
71# Fetch and print Actor results from the run's dataset (if there are any)
72print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
73for item in client.dataset(run["defaultDatasetId"]).iterate_items():
74    print(item)
75
76# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Company Profiles Scraper - Extract Data API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Company Profiles Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

LinkedIn Company Profiles Scraper API in JavaScript

LinkedIn Company Profiles Scraper API through CLI

LinkedIn Company Profiles Scraper OpenAPI definition

LinkedIn Company Profiles Scraper API

LinkedIn Company Scraper

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Scrape LinkedIn company pages without login. Extract company name, industry, headquarters, size, founded year, type, specialties, website, description, follower count, employee count, recent posts, and logo. Google search fallback for company discovery by name or industry.

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1.0

Linkedin Company Profile Scraper

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LinkedIn Company Profile Scraper extracts public data from LinkedIn company pages. It collects company name, description, industry, employee count, headquarters, website, followers, and other profile details. Ideal for B2B research, lead generation, and market intelligence.

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LinkedIn Company Scraper extracts detailed data from LinkedIn company pages, including overview, industry, size, headquarters, specialties, website, founded year, posts, and employee insights. Ideal for market research, lead generationand automating structured company data collection.

SimpleAPI

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logical_scrapers/linkedin-company-scraper-deep

A powerful scraper that extracts comprehensive company data from LinkedIn company pages. Gives you authenticated access through cookies to retrieve detailed business information including name, description, industry, size, headquarters, phone, website, logo, employee count, follower count and more.

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Scrape LinkedIn company pages without login, cookies, or authentication. Extract company info, size, industry, specialties, locations, and more from public company profiles.

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Extract company data from LinkedIn company pages — name, website, industry, size, employee count, follower count, headquarters, founded year, specialties, and logo. No login or proxy needed. Pure HTTP, 256 MB, $0.003/company.