Linkedin Company Lookalike & Suggestions Scraper avatar

Linkedin Company Lookalike & Suggestions Scraper

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Linkedin Company Lookalike & Suggestions Scraper

Linkedin Company Lookalike & Suggestions Scraper

saswave/linkedin-company-parser-with-companies-suggestions
Try for free

3 days trial then $25.00/month - No credit card required now

Extract company lookalike and suggestions from linkedin based on the same sector / industry. Get data about name, website, phonenumber, location, description, hashtag, employee range, linkedin employee, linkedin company job url, followers, crunchbase funding data

Extract company lookalike and suggestions from linkedin based on the same sector / industry

Allows you to extract informations from a company linkedin pages. The bonus point being, you also get informations parsed from suggested similar companies from linkedin.

For exemple, searching for financial-times Linkedin company page, you would also get results from suggestions like : the-wall-street-journal, bloomberg-news and more (usually it's 10 suggestions)

Env variable

your apify token needs to be added in the environment variables as APIFY_TOKEN

Inputs

  • cookies: a list of cookies exported to your clipboard with the chrome extension "EditThisCookie" from your session on https://www.linkedin.com/feed/

  • companies: A list of companies

Outputs

returns a list of company with their related informations (followers, employees, address, industries, country, crunchbase funding data etc....)

How to extract header from your browser

  • install EditThisCookie chrome extension
  • login to your account and go to your linkedin feed page
  • Use the extension and click "export"
  • Paste the cookies in the input "cookies" from the actor

The apify documentation has a tutorial on how to do it with screenshots, https://docs.apify.com/tutorials/log-in-by-transferring-cookies#export-your-cookies go to the export your cookies section

Developer
Maintained by Community
Actor metrics
  • 3 monthly users
  • 3 stars
  • 100.0% runs succeeded
  • Created in Oct 2023
  • Modified 6 days ago