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Linkedin Company Profile Scraper

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Linkedin Company Profile Scraper

Linkedin Company Profile Scraper

sanjeta/linkedin-company-profile-scraper
Try Actor

$10.00/month

The LinkedIn Company Profile Scraper is a powerful and efficient tool designed to extract valuable information from LinkedIn company profiles with ease. Whether you're a market researcher, sales professional, or just curious about a company's background.

You can access the Linkedin Company Profile Scraper programmatically from your own Python 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.

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    "urls": [
10        "https://www.linkedin.com/company/apifytech",
11        "https://www.linkedin.com/company/linkedin",
12    ],
13    "proxy": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("sanjeta/linkedin-company-profile-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Linkedin Company Profile Scraper API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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Actor Metrics

  • 22 monthly users

  • 17 stars

  • >99% runs succeeded

  • 15 hours response time

  • Created in Sep 2023

  • Modified 2 months ago