This repository provides a Python-based solution to scrape detailed public company information from LinkedIn using the Crawlbase Crawling API.

It includes:

• A scraper that sends asynchronous requests to LinkedIn company page URLs.
• A retrieval script that fetches the structured company data using the request ID (RID).

📖 Read the full tutorial: How to Scrape LinkedIn

• crawlbase – for accessing Crawling and Storage APIs
• json – for handling structured output
• Python 3.6+

Install the required package:

pip install crawlbase

File: linkedin_company_scraper.py

• Sends an asynchronous scraping request to a LinkedIn company page.
• Returns a rid (request ID) to be used for retrieving the full response.

1. Replace YOUR_API_TOKEN with your Crawlbase token.
2. Set the LinkedIn company page URL.

python linkedin_company_scraper.py

{
	"rid": "f270321bbebe203b43cebedd"
}

File: linkedin_company_retrieve.py

• Retrieves and prints the stored company page data using the rid.

1. Replace YOUR_API_TOKEN and RID in the script.

python linkedin_company_retrieve.py

{
  {
  "title": "Amazon",
  "headline": "Software Development",
  "cover_image": "https://media.licdn.com/dms/...",
  "company_image": "https://media.licdn.com/dms/...",
  "url": "https://www.linkedin.com/company/amazon",
  ...
}

• Support for scraping multiple company pages
• Export company data to CSV/JSON
• Add CLI options for input/output
• Implement retry and error-handling logic

• Research competitors and market trends
• Monitor public-facing company updates
• Build datasets for lead generation and analytics