How to Extract Weather Data from Google in Python?

Last Updated : 11 Sep, 2024

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, and also we will see another method to fetch a schematic depiction of a location’s weather data for the next two days in Python without utilizing an API.

Method 1:

Module needed:

Requests: Requests allow you to send HTTP/1.1 requests extremely easily. This module also does not come built-in with Python. To install this type the below command in the terminal.

!pip install requests
!pip install beautifulsoup4

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.

Approach:

Import the module
Enter the city name with the URL

"https://www.google.com/search?q="+"weather"+{cityname}

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

Python

# importing the library import requests from bs4 import BeautifulSoup

Step 2: Create a URL with the entered city name in it and pass it to the get function.

Python

# enter city name city = "lucknow"  # create url url = "https://www.google.com/search?q="+"weather"+city  # requests instance html = requests.get(url).content  # getting raw data soup = BeautifulSoup(html, 'html.parser')

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 the 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

Python

# get the temperature temp = soup.find('div', attrs={'class': 'BNeawe iBp4i AP7Wnd'}).text  # this contains time and sky description str = soup.find('div', attrs={'class': 'BNeawe tAd8D AP7Wnd'}).text  # format the data data = str.split('\n') time = data[0] sky = data[1]

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.

Python

# list having all div tags having particular class name listdiv = soup.findAll('div', attrs={'class': 'BNeawe s3v9rd AP7Wnd'})  # particular list with required data strd = listdiv[5].text  # formatting the string pos = strd.find('Wind') other_data = strd[pos:]

Step 5: Printing all the data

Python

# printing all the data print("Temperature is", temp) print("Time: ", time) print("Sky Description: ", sky) print(other_data)

Python Code

Python

# Importing necessary libraries import requests from bs4 import BeautifulSoup  # Enter city name city = "lucknow"  # Creating URL and making requests instance url = "https://www.google.com/search?q=" + "weather" + city html = requests.get(url).content  # Getting raw data using BeautifulSoup soup = BeautifulSoup(html, 'html.parser')  # Extracting the temperature temp = soup.find('div', attrs={'class': 'BNeawe iBp4i AP7Wnd'}).text  # Extracting the time and sky description str_ = soup.find('div', attrs={'class': 'BNeawe tAd8D AP7Wnd'}).text data = str_.split('\n') time = data[0] sky = data[1]  # Getting all div tags with the specific class name listdiv = soup.findAll('div', attrs={'class': 'BNeawe s3v9rd AP7Wnd'})  # Extracting other required data strd = listdiv[5].text pos = strd.find('Wind') other_data = strd[pos:]  # Printing the extracted weather data print("Temperature is:", temp) print("Time:", time) print("Sky Description:", sky) print(other_data)

Output:

Method 2: Getting Weather Data Without Scraping

Module needed:

Requests: Requests allow you to send HTTP/1.1 requests extremely easily. The HTTP request returns a response object with all of the required response data. This module also does not come built-in with Python. To install this type the below command in the terminal.

pip install requests

Approach:

Import the requests module
Sending request to get the IP Location Information
Extracting the location in JSON format
Printing the location extracted
Passing the city name and retrieving the weather data of the city
Printing the output

Below is the implementation:

Python

# Importing the requests module import requests  # Sending request to get the IP location information res = requests.get('https://ipinfo.io/') data = res.json()  # Receiving the response in JSON format  # Extracting the location of the city from the response citydata = data['city'] print("Current Location:", citydata)  # Passing the city name to the URL to get weather data url = 'https://wttr.in/{}'.format(citydata) res = requests.get(url)  # Printing the schematic weather details of the city print(res.text)