How to extract weather data from google in python

to extract weather data from google using python, we can utilize a web scraping library such as beautifulsoup along with requests library to send http requests. google provides weather information in a structured format, which we can scrape from the search results page.

here's a step-by-step tutorial on how to extract weather data from google in python:

### step 1: install necessary libraries
make sure you have the following libraries installed. you can install them using pip:

### step 2: write python code to extract weather data
here is a sample code that demonstrates how to extract weather data from google using python:

in this code snippet:
- we define a function `get_weather(city)` that takes a city name as input and constructs a google search url for weather information.
- we send an http get request to the constructed url and check if the response is successful (status code 200).
- we parse the html content of the response using beautifulsoup and extract the weather information from the specific div class where google displays weather data.
- finally, we return the extracted weather data or an error message.

### step 3: test the code
you can test the code by providing a city name as input to the `get_weather` function. for example, calling `get_weather("new york")` will fetch the weather data for new york city.

### conclusion
this tutorial demonstrates how to extract weather data from google in python using web scraping techniques. keep in mind that web scraping may violate the terms of service of some websites, so always check the website's policies before scraping data.

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