Buyer questions and objections in LinkedIn comments

Created by

ReapX

Actor

LinkedIn Comment Scraper

Read comment language beside author identity to find repeated questions, objections and demand signals around a post.

Try for free

LinkedIn Comment Scraperreapx/linkedin-comment-scraper

Author

Username

URL

Text

Input

Which sources?:https://www.reddit.com/r/python/+2

How many results?:3

Output fields

Author

Username

URL

Text

How it works

Sign up on Apify or log in

The LinkedIn Comment Scraper Actor is ready to run with the inputs already set for "Buyer questions and objections in LinkedIn comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Buyer questions and objections in LinkedIn comments" task

The LinkedIn Comment Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which sources? and how many results?, to match your specific use case.

Receive the "Buyer questions and objections in LinkedIn comments" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as author, username, URL, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Buyer questions and objections in LinkedIn comments" task via API.