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Scraping Website: How to Write a Script in Python

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Here's a python script that you can use as a model to scrape a website. Python script The below logic uses BeautifulSoup Package for web scraping. import requests from bs4 import BeautifulSoup url = 'https://www.example.com' response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') # Print the title of the webpage print(soup.title.text) # Print all the links in the webpage for link in soup.find_all('a'):     print(link.get('href')) In this script, we first import the Requests and Beautiful Soup libraries. We then define the URL we want to scrape and use the Requests library to send a GET request to that URL. We then pass the response text to Beautiful Soup to parse the HTML contents of the webpage. We then use Beautiful Soup to extract the title of the webpage and print it to the console. We also use a for loop to find all the links in the webpage and print their href attributes to the console. This is just a basic example, but

Python Subset: How to Get Subset of Dictionary

Here's a sample program to get the python subset. In this case, you'll find logic for dictionary subsets.


Subset from a Dictionary in Python


Dictionary python

To illustrate, I have taken a dictionary as below with keys and values.

my_first_dict = {

'HP': 100
'IBM': 200
'NTT': 300
'ABC': 400
'GDF': 500
}

I want to make a subset of values greater than 100 and less than 400. How can you achieve this? No worries, below, you will find the logic.


Logic to get subset out of a dictionary

I am using dictionary comprehension to achieve this.

Syntax:


sub_set = { key:value for key, value in my_first_dict.items() value >100 and value <400}


Result

Dictionary comprehension


References

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