Likers Export for LinkedIn™️(Email)
Overview
Automatically extract all the LinkedIn users with email 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. v2.0.0 Update - Add enrich email with Email finder API, please contact us to add more providers. - Most email finders need company name, please choose the extract user's company info option. 🔥 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. LINKEDIN TOOL FAMILY you can access our other LinkedIn tools by clicking the tools menu. such as Sales Navigator Scraper, Apollo Export, LinkedIn Search Export and etc. 🔒 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.
Details
- Version2.0.2
- UpdatedNovember 13, 2024
- Size730KiB
- Languages54 languages
- DeveloperWebsite
Email
moiycommgoufvfvllmouv790@gmail.com - Non-traderThis 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
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