Closed Saurabh254 closed 4 months ago
hi @Saurabh254 i would like to work on this issue my steps would be:
1.web scraping using libraries such as beautifulsoup,selenium 2.Understand the Website Structure to inspect the HTML of the comments section. 3.efficiency consideration: Add delays between requests to avoid overloading the website's server. Handle pagination 4.sentiment analysis: using libraries like TextBlob or NLTK.
@nikhil25803 you can assign me this task. :)
hi @Saurabh254 i would like to work on this issue my steps would be:
1.web scraping using libraries such as beautifulsoup,selenium 2.Understand the Website Structure to inspect the HTML of the comments section. 3.efficiency consideration: Add delays between requests to avoid overloading the website's server. Handle pagination 4.sentiment analysis: using libraries like TextBlob or NLTK.
we don't have to use selenium because not every system supports it. I rather be using regex to scrap the json.
Go ahead @Saurabh254
Note
All the best 👨💻
Describe the feature
As an GSSoC'24 contributer, I want to enhance my developing skills into this scrape-up. also I'll be working in this issue, point to be noted I'm the contributor of the python package pyquora (quora scrapper).
I'm working on this because pyquora lacks some features like fetch
get Answers by search query
.also I would like to make the scrap-up quora scrapper better.
the part I'll be covering will be
Add ScreenShots
will cover every details from the bellow image
will also cover the top answers
Record