This script concurrently scrapes data from a website https://books.toscrape.com/ and saves it to a CSV file. The website should list books and include the following information for each book: title, price, availability, and rating.
Install the required packages: concurrent.futures, csv, and requests.
pip install concurrent.futures
pip install csv
pip install requests
Set the URL_template variable to the URL of the website you want to scrape. The website should use a similar pagination format as the example given (i.e. https://books.toscrape.com/catalogue/page-{}.html). Run the script. It will scrape the website and save the data in a CSV file called books.csv.
The scrape_page function takes in a page number and returns a list of dictionaries containing information about the books on that page. The script then uses a ThreadPoolExecutor to create a thread pool and submit tasks to scrape each page concurrently. As the tasks complete, their results are written to the CSV file using a DictWriter object.
Python 3 - The programming language used Beautiful Soup - The library used for parsing HTML and XML concurrent.futures - The library used for concurrent execution of function calls csv - The library used for reading and writing CSV files requests - The library used for sending HTTP requests
Mohsin Mehmood