Pricing

from $2.00 / 1,000 results

LinkedIn Company Enrichment - Firmographics & Company Data

Turn a LinkedIn company URL, slug, company name, or website domain into a structured firmographic record: industry, size band, employees on LinkedIn, followers, HQ address, all offices, founded year, company type, specialties, website and logo. Pure HTTP, no login required.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

Thirdwatch

Actor stats

Bookmarked

Total users

Monthly active users

5 hours ago

Last modified

Categories

Business

Lead generation

You can access the LinkedIn Company Enrichment - Firmographics & Company Data 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 = { "companies": [
9        "https://www.linkedin.com/company/hashicorp/",
10        "stripe.com",
11        "Datadog",
12    ] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("thirdwatch/linkedin-company-enrichment-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

LinkedIn Company Enrichment - Firmographics & Company Data API in Python

The Apify API client for Python is the official library that allows you to use LinkedIn Company Enrichment - Firmographics & Company Data 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 Enrichment - Firmographics & Company Data API in JavaScript

LinkedIn Company Enrichment - Firmographics & Company Data API through CLI

LinkedIn Company Enrichment - Firmographics & Company Data OpenAPI definition

LinkedIn Company Enrichment - Firmographics & Company Data API

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119

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nabeelbaghoor/company-data-search-api

Search a global company dataset by industry, employee count, location, founding year and tags, and export structured firmographic records - website, size, industry, location, LinkedIn and social profiles. Pay per result. Bring your own API key.

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LinkedIn Company Scraper with Firmographics & Funding Data

scraperforge/linkedin-company-scraper-actor

🏢 LinkedIn Company Scraper with Firmographics & Funding Data extracts rich company data from LinkedIn profiles — website, industry, size, HQ, locations, founding year, specialties, followers & description. Export to CSV/JSON & API.

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LinkedIn Company Scraper: Size & Industry, No Cookies

themineworks/linkedin-company-details

Scrape public LinkedIn company pages with no login or cookies. Get name, industry, size, HQ, founded, website, followers, specialties. $10/1k. MCP ready.

The Mine Works

LinkedIn Company Scraper

sourabhbgp/linkedin-company-scraper

Bulk LinkedIn company scraper for B2B lead enrichment and CRM hydration. Returns 30 fields per company: employees, all office locations, followers, recent posts with reactions, similar companies, funding rounds, named investors, and live open-job count. No login, no cookies. $1 per 1,000 results.

Sourabh Kumar

Company Detail Scraper for LinkedIn (No Cookies) 🏢

scraper-engine/company-detail-scraper-for-linkedin-no-cookies

🏢 Company Detail Scraper for LinkedIn (No Cookies) extracts key company data from LinkedIn About pages—website, industry, size, HQ, followers & description—without cookies. 🚀 Boost B2B research, lead gen, sales & recruiting with cleaner workflows.