How Can You Scrape LinkedIn Comments? The Real Tool and Steps
Anyone who liked or commented on a competitor's post has already raised their hand. This walkthrough skips the theory and goes straight to the tool, the exact clicks, and the warm lead list waiting on the other side.
What Is Phantombuster Used For?
Phantombuster runs the browser actions you'd otherwise do by hand, over and over, and hands you back the results as a list.
About Scraping and Lead Gen
Public platforms like LinkedIn hold a large amount of intent signal in comments, posts, and profiles, but pulling that into a usable list takes a specific, careful approach. These guides cover practical scraping methods for lead generation, including where the line is on what is reasonable and sustainable to do.
Comments as an underused signal
People commenting on a post about a specific problem are telling you, in public, that the problem matters to them. That is a stronger signal than most cold lists you could buy.
Turning raw data into a usable list
Scraped data is only useful once it is cleaned and organized: names matched to profiles, duplicates removed, and irrelevant entries filtered out before outreach even starts.
Is scraping LinkedIn comments allowed?
Scraping public data carries platform risk and should be done carefully and at a reasonable pace. These guides focus on practical, lower risk approaches rather than aggressive automation.
What should I do with a list right after scraping it?
Clean it first: remove duplicates and irrelevant entries, then match names to context like their comment or post, which makes personalized outreach far easier.