Likers Export for LinkedIn™️
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Likers Export for LinkedIn™️

1.0(

1 rating

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ExtensionWorkflow & Planning146 users
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Overview

Automatically extract all the LinkedIn users who liked a LinkedIn post.

Extract the users who have liked a LinkedIn post, with the user's company, school and more details. Automatically extract thanks to scraping all the LinkedIn users who liked a list of posts or articles. 🔥 FEATURES ✓ Extract up to 3000 likers from a post ✓ Extract user company, school, location and more profile ✓ Filter by Reaction Type ✓ Support User posts and Group feeds ✓ Save and download the liker list in CSV/EXCEL/JSON format. ✓ Continue free update EXPORT COLUMNS #Profile Link, #First Name, #Last Name, #Full Name, #Subtitle, #Picture URL, #Reaction Type, #Degree, #Company Name, #Company Title, #School Name, #Degree Name, #Field Of Study, #Industry Name, #Summary, #Location Name, #Country Name, #Address, #Prefer Country Code, #Prefer Language Code, #Birth Date, #Is Student 👋 FAQ If you have any questions, please keep in touch via help@niomaker.com. 🔒 DATA PRIVACY All data is processed in your local computer, never passing through our web server, and no one knows what you save. 💡 DISCLAIMER Likers Export is not endorsed by or affiliated with the LinkedIn Corporation, registered in the U.S. and other countries. LinkedIn is a trademark of the LinkedIn Corporation.

1 out of 51 rating

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Review's profile picture

Igor KudrykApr 22, 2024

Only allows 10 rows for free

Details

  • Version
    1.2.1
  • Updated
    December 13, 2023
  • Offered by
    MIO
  • Size
    692KiB
  • Languages
    English
  • Developer
    Email
    moiycommgoufvfvllmouv790@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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