Linkedin User Reactions Scraper: Extract reactions for LinkedIn profiles and users including post content, reactions, stats, article, media attachments and more.
Extract public Reactions made by Linkedin User. Get structured data including articles and posts
Provide a LinkedIn profile username to get their recent reaction and activity. The username is the last part of a LinkedIn profile URL (e.g., 'satyanadella' from linkedin.com/in/satyanadella).
Each run returns up to 100 reactions per page.
For accessing older posts:
page_number = 1
and get first 100 resultspagination_token
from run output of page 1pagination_token
and page_number = 2
to get next 100 resultspagination_token
from second run output1{ 2 }, 3 "reactions": [ 4 { 5 "action": "...", 6 "text": "...", 7 "author": { 8 "firstName": "...", 9 "lastName": "..", 10 "headline": "...", 11 "profile_url": "...":, 12 "profile_picture": "..." 13 }, 14 "post_stats": { 15 "totalReactionCount": 1177, 16 "like": 884, 17 "appreciation": 3, 18 "empathy": 103, 19 "interest": 22, 20 "praise": 165, 21 "comments": 54, 22 "reposts": 61 23 }, 24 "timestamps": { 25 "relative": "5d" 26 }, 27 ], 28 "metadata": { 29 "pagination_token": "dXJuOmxpOmFj..." 30 } 31}
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!