Linkedin Posts Reactions Scraper avatar
Linkedin Posts Reactions Scraper
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Linkedin Posts Reactions Scraper

Linkedin Posts Reactions Scraper

saswave/linkedin-posts-interactions-parser
Try for free

3 days trial then $25.00/month - No credit card required now

Scrape reactions or likes from linkedin post. Allows you to extract all interactions from a post (comment, like, mentions). Input can be a /posts url. You can also provide a /company or /in url and it will parse multiple posts from the source (organic posts and promoted ads)

CR

Risky actor

Closed

communicative_radish opened this issue
3 months ago

This actor is very risky it clearly tells linkedin that we are scraping and i hve two of accounts got warnings because of this. Can u do something about this issue? I dont think this is safe to use.

saswave avatar

SASWAVE (saswave)

3 months ago

The actor is very slow, there is no concurrency (everything is done one by one) but obviously when you think of human behavior , no one would try to see all commenters, all likers on multiple posts in a short time frame

It's not an official linkedin api, everything not official contains risks, depends on your usage

If your are worried maybe try to only feed post url as input, but i didn't have warnings yet (even lusha users have had problems recently , so maybe linkedin is stepping up it's anti automation policies)

You could also try to use proxies.

Even a human doing by hand what this automation tool does, would get warnings at some point (not a normal behavior of typical linkedin user)

Open to feedbacks

CR

communicative_radish

3 months ago

Still its almost not safe or technically not useable. It continously throw errors because it says cookies expired and they expired because actor ran and linkedin blocked the account or sent warning.

saswave avatar

SASWAVE (saswave)

3 months ago

I'm using it daily and never got "banned" or got "warnings"

What is your usage / use case ?

Developer
Maintained by Community
Actor metrics
  • 14 monthly users
  • 4 stars
  • 33.9% runs succeeded
  • 0.14 hours response time
  • Created in Oct 2023
  • Modified 29 days ago