How to Extract Weather Data from Google in Python?
In this article, we will see how to extract weather data from google. Google does not have its own weather API, it fetches data from weather.com and shows it when you search on Google. So, we will scrape the data from Google.
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Requests: Requests allows you to send HTTP/1.1 requests extremely easily. This module also does not comes built-in with Python. To install this type the below command in the terminal.
pip install requests
bs4: Beautiful Soup is a library that makes it easy to scrape information from web pages. Whether it be an HTML or XML page, that can later be used for iterating, searching, and modifying the data within it.
- Import the module
- Enter the city name with the URL
- Make requests instance and pass the URL
- Get the raw data.
- Extract the required data from the soup.
- Finally, print the required data.
Step-wise implementation of code:
Step 1: Import the requests and bs4 library
Step 2: Create a URL with the entered city name in it and pass it to the get function.
Step 3: Soup will return a heap of data with HTML tags. So, a chunk of data has been shown below from which we will get all the necessary data with the help of find function and passing the tag name and class name.
<div class=”kvKEAb”><div><div><div class=”BNeawe iBp4i AP7Wnd”><div><div class=”BNeawe
iBp4i AP7Wnd”>13°C</div></div></div></div></div><div><div><div class=”BNeawe tAd8D AP7Wnd”>
<div><div class=”BNeawe tAd8D AP7Wnd”>Saturday 11:10 am
Step 4: Here list1 contains all the div tags with a particular class name and index 5 of this list has all other required data.
Step 5: Printing all the data
Below is the full implementation: