Scraping A Website with Python and Selenium: A How-To Guide

web scraping is practiced by businesses that create their marketing and development strategies based on the vast amount of web data

In today’s world, every business is looking for ways to take advantage of new technologies and stay competitive. Data extraction also knows as data scraping or web scraping enables to access big data in an automated method.

The main applications of web scraping include price intelligence, lead generation, and market research. Mainly, web scraping is practiced by businesses that create their marketing and development strategies based on the vast amount of web data.

So, once we understand what is web-scraping and why it is useful, let’s see how we can navigate through multiple pages of a site and scrape numerous data by using Selenium in Python.

Before starting, go through the following instructions on the installations of required packages:

1) Python: We are going to use Python 3.0

2) Selenium package: To install Selenium package run the following command

pip install selenium

3) Chrome driver: Install the latest version of chrome driver from here. Note that for all this you need Google Chrome to be installed on your PC.

The first thing that we need to do before scraping is to understand the structure of the webpage. Our goal is to scrape Edmunds.com - a car forum. People post their reviews on different cars in the forum and make car buying decisions.

The topic that we are going to scrape will be entry-level luxury car brands. We’ll scrape user id and comments and export them into a CSV file for further analysis.

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