Linkedin Sales Company Page Scraper

This workflow was specifically designed to automate the process of extracting and analyzing key information about companies from their pages on LinkedIn platform. LinkedIn provides high-quality company descriptions, contacts, and information that can be useful for sales and marketing.

How to use the workflow

1. Install the GoLess browser extension.
2. Select and open the The LinkedIn Sales Company Page Scraper at the marketplace.
3. In the pop up window, provide the ID of the Google table and sheet names. 3. 1 Provide the URLs of companies you need to the column "A", sheet 1 at the Google table. (Each link should be listed in a separate row in column A).
4. Click "Run."

Input data:

• URL of company

Data Scraped:

• Сompany name
• Subtitle
• Employee count
• Website
• Headquarters
• Specialties
• Overview
• Type

Questions and Answers:

1. How many results can the workflow give?

   • On one page, it can produce 1000 default results. If you change the number of rows in the Google table to the maximum. Workflow can produce up to 55,000 results.

2. What information does the LinkedIn Sales Company Page Scraper collect?

   • The LinkedIn Sales Company Page Scraper gathers data such as company names, descriptions, follower counts, industry sectors, and contact information available on the company's LinkedIn Sales page.

3. Can this tool handle multiple LinkedIn Sales Company Page URLs at once?

   • Yes, this scraper is designed to efficiently process multiple LinkedIn Sales Company Page URLs concurrently, allowing for batch extraction of data.

4. Are there any limitations or considerations when using this scraper?

   • While this scraper gathers publicly available data, it's essential to use it responsibly and in compliance with LinkedIn's terms of service and data usage policies. Respect user privacy and ensure adherence to all relevant regulations.

5. How frequently can I use this scraper?

   • The usage frequency may depend on the scraper's terms of use, but typically, it can be utilized based on reasonable usage limits to ensure equitable access for all users and avoid overloading the scraping mechanism.