This is a webscraper for a specific website (Economic Times). It is tuned to extract the headlines of that website. With some little adjustments the webscraper is able to extract any part of the website.


Install the following:

  1. Selenium: Please follow the link https://selenium-python.readthedocs.io/installation.html and install the selenium.
  2. Chromedriver: Check your Chrome browser’s version (Menu -> Help -> About Google Chrome) and download the relevant Chromedriver from https://sites.google.com/chromium.org/driver/home
  3. TQDM: https://pypi.org/project/tqdm/
  4. BeautifulSoup4: https://pypi.org/project/beautifulsoup4/

Using the webscraper

It is important to take care of the sequence of executing these files. Please follow the sequence below:

  1. ET_Archive_Links.py: Use this website as it is the source of everything that we’ll do later. This scripy gives us the initial links in the Archive page of the website.
  2. ET_All_Links_Inside_Archive.py: This is the script that takes the output (csv file) of the previous script. It produces a new file which contain URLs of all the archived news on the website since 2002.
  3. ET_Content.py: Finally, this is the script that scrapes the headlines along with the dates. ( If you want to scrap any other part of the website then this is the script that you have to edit )


I used the scraper on another news website named “Businessline”. It’s dataset is available on Kaggle(https://www.kaggle.com/rsiyanwal/20182019-businessline-headlines).


View Github