LinkedIn-Scrapper

• Young professionals and graduates are often in the need of a job. As a result, they look out for opportunities in LinkedIn. However there are too many posts one has to go through to finally discover a job posting
• We saw this as an opportunity to deploy web scraping and machine learning skills to somehow boil down posts users have to go through
• This project will scroll for few minutes and prepare a data file which can be surfed using find in page for potential hiring post.

Approach

• Create a custom dataset using web scraper and get our LinkedIn feed
• Deploy NLP techniques of tokenization, stop-words and lemmitization for our Naive Bayes model

Evaluation Metric

Results

Detailed Report for Multinomial NB

How to use:

1. first install latest version of python
2. open the cmd in the folder containing repo and run "pip install -r requirements.txt"
3. add your linkedin login details in log.py
4. run the test.py file.

Tech-Stacks

• Selenium
• Python