sahilsingh0808/linkedin-comments-scraper

Script to scrape comments (including name, designation, email(if present) and comment) from a LinkedIn post from the URL of the post.

LinkedIn Comments Scraper

Brief Overview

If you have used LinkedIn, you must have encountered many posts regarding helpful resources, and they would ask email address,to which replies in comments are usually like

Interested!
<email-address>

I don't like this thing, like you can already share link in the post itself 😠. Nevertheless, I thought to automate this work of collecting all emails.
All the comments, with columns of

• Name of the person commented
• Designation of the person
• Email address (if present in comment)
• Comment (UTF-8 encoded)

are stored in a 'comments_data.csv' file.

Requirements

• python (recommended : 3.7.3)
• selenium
• web-driver

Install the dependencies in Windows using command:

pip install -r requirements.txt

For Mac/Linux, use:

pip3 install -r requirements.txt

Usage

• In Config.py, enter the required url of LinkedIn Post in post_url variable:

post_url = ''

If you forget to enter here, it will be asked during run-time of script itself.

• You can also change csv file name (in which scraped data will be stored) in Config.py .
• Run the script for Windows:

python PostComments.py

For Linux/Linux, use:

python3 PostComments.py

Login email and password for your LinkedIn account will be asked and process would start.

Scope of Improvement

• Main problem is that for scraping all comments, they need to be loaded first. This involves: find the "Load more comments" button, clicks, sleeps for 5 seconds and continues this until all comments are loaded. Usually the sleep strategy of 5 seconds works well, but may fail on slow internet connection and needs to be increased. There are certain commands in Selenium to avoid this but I was unsuccessful.

If you can do it or have any suggestions, contribute!:smile: