Go to example tasks![LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅](https://images.apifyusercontent.com/RUuotDATmvqteMSRPbd5zxDTmNlmg_jde3OTcCgwfsA/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc0NDU2R3bm1LTUoxUTJzVG4tYWN0b3ItRklEV1pwRkVjaUJhaFNzMlQtZEl4YU9xME5kTy1jek5tY3kxd2NtbDJZWFJsTDNKaGQzQnBlR1ZzWDJsdFlXZGxjeTkzWldKemFYUmxYMk52Ym5SbGJuUXZiSEl2.webp)
Research a Sales Prospect's LinkedIn Engagement
Before you send a cold email, see what your prospect has actually been engaging with on LinkedIn. This task pulls every comment they wrote and every post they reacted to over the last three months, along with the original post and who published it. Use it to open with something they genuinely care about instead of a guess from their job title.
LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅unseenuser/linkedin-user-comments-reactions
Action
Comment
Source Profile
Post Author
+14 fieldsTextNumberBooleanListObject
Input
LinkedIn Profiles(required):https://www.linkedin.com/in/justinwelsh
What To Collect:both
Time Period:3months
Output fields
Action
Comment
Source Profile
Post Author
Post Text
Post URL
Reactions
Comments
Posted
Page
Comment URL
Engaged Date
Engaged Age
Post Date
Post Author Title
Post Author Profile
Post URN
Reposts
Sign up on Apify01
Create your Apify account to access the LinkedIn User Comments & Reactions Scraper [NO COOKIES] ✅.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
