How to Scrape Web Data from Google using Python? Last Updated : 26 Mar, 2024 Comments Improve Suggest changes Like Article Like Report Prerequisites: Python Requests, Implementing Web Scraping in Python with BeautifulSoup Web scraping is a technique to fetch data from websites. While surfing on the web, many websites don’t allow the user to save data for personal use. One way is to manually copy-paste the data, which both tedious and time-consuming. Web Scraping is the automation of the data extraction process from websites. In this article, we will scrape the weather update from google's search result. Modules Required BeautifulSoup: This module is used for iterating, searching, and modifying the parse tree over the HTML or XML parser. To download it type the below command in the terminal.pip install beautifulsoup4 OR pip install bs4Requests: Requests library is one of the integral part of Python for making HTTP requests to a specified URL. To download it type the below command in the terminal.pip install requestsBelow is the implementation. Python3 import requests from bs4 import BeautifulSoup # Enter the City Name city = input("Enter the City Name: ") search = f"Weather in {city}" # URL url = f"https://www.google.com/search?q={search}" # Sending HTTP request req = requests.get(url) # Pulling HTTP data from internet sor = BeautifulSoup(req.text, "html.parser") # Finding temperature in Celsius temp = sor.find("div", class_='BNeawe').text print(f'Temperature in {city} is {temp}') Output : Comment More infoAdvertise with us Next Article How to Scrape Web Data from Google using Python? akash_kumar_singh Follow Improve Article Tags : Python Python Programs Python-requests Web-scraping Python web-scraping-exercises +1 More Practice Tags : python Similar Reads Python | Automate Google Search using Selenium Google search can be automated using Python script in just 2 minutes. 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