Sat. Dec 2nd, 2023
Web Scraping using Selenium with Python

First we will start with what and why,before going into the blog I just show the random way to do it with a particular example or something because when it comes to scraping we should make sure it is done in a legal manner. In the previous Web scraping 101 we see how to scrap the web using beautiful soup now we gonna see with Selenium.

What is Web Scraping? 

Web scraping refers to the process of automatically collecting data from websites using software tools, also known as web scrapers or bots. Web scraping can be used to extract a wide range of data from websites, including text, images, videos, links, and more.

The process of web scraping involves sending requests to a website’s server to retrieve its HTML code, parsing the code to extract the relevant data, and then saving or processing the data as needed. Web scraping can be performed using a variety of programming languages and tools, but some of the most popular tools for web scraping are Python, Beautiful Soup, and Selenium ( in this case we did using selenium).

Web scraping has many applications, including data mining, market research, lead generation, and content aggregation.

However, it is important to note that web scraping may be illegal or unethical in some cases, particularly if it involves accessing private or sensitive data, violating website terms of service, or disrupting website functionality. Therefore, it is important to ensure that any web scraping activity is conducted ethically and in compliance with applicable laws and regulations.

Uses of Web Scraping ➖

  1. Market research: Web scraping can be used to collect data on competitors, pricing, customer behavior, and other market trends.
  2. Lead generation: Web scraping can be used to collect contact information for potential customers, such as email addresses or phone numbers.
  3. Content aggregation: Web scraping can be used to collect content from different websites or sources and combine it into a single location, such as a news aggregator or blog.
  4. Data mining: Web scraping can be used to collect large amounts of data from websites for analysis and insights, such as sentiment analysis or predictive modeling.
  5. Price monitoring: Web scraping can be used to monitor prices for products or services on different websites or marketplaces, allowing businesses to adjust their pricing strategies accordingly.
  6. Job postings: Web scraping can be used to collect job postings from different websites or job boards and aggregate them into a single location.
  7. Research: Web scraping can be used to collect data for research purposes, such as social science or public health research.
  8. Fraud detection: Web scraping can be used to monitor websites for fraudulent or malicious activity, such as phishing scams or spam.

It’s important to note that web scraping should be conducted ethically and in compliance with the website authority you are scraping the data from.


# import necessary modules
from selenium import webdriver

from import Options

import time

# set up the Chrome browser

chrome_options = Options()



driver = webdriver.Chrome(options=chrome_options)

# specify the Medium article URL to scrape

url = ""

# navigate to the article page


# wait for the page to load


# get the title of the article

title = driver.find_element_by_xpath("//h1").text

# print the title


# close the browser


IN the program above, we’re using Selenium to extract the title of a Medium article. We’re using the Chrome browser in headless mode to avoid opening a visible browser window. We’re also using the time module to wait for the page to load before extracting the title.

Finally, we’re using an XPath expression to find the h1 element on the page and extract its text. Note that you’ll need to install the selenium package and have the Chrome driver installed on your system for this program to work.


Web scraping using Selenium with Python is a powerful technique for automatically collecting data from websites. Selenium is a popular tool for web scraping because it allows you to automate interactions with a website, making it possible to scrape data from websites that require login or interaction with forms or buttons. 

By using Python and Selenium, you can write scripts to collect data quickly and efficiently, and then use that data for a variety of applications, from market research to content aggregation to fraud detection. However, it’s important to be aware of the ethical and legal implications of web scraping and to ensure that any scraping activity is conducted in compliance with applicable laws and regulations. With the right tools and approach, web scraping with Selenium and Python can be a valuable tool for businesses, researchers, and individuals seeking to collect and analyze data from the web.

By Hari Haran

I'm Aspiring data scientist who want to know about more AI. I'm very keen in learning many sources in AI.

Related Post

Leave a Reply

Your email address will not be published. Required fields are marked *