Scraping through Multiple pages

Step 1: Importing Libraries

In the first step, we import the necessary libraries: BeautifulSoup, requests, and pandas.

Step 2: Creating DataFrame Structure

Here, we define the column names for our DataFrame and create an empty DataFrame.

Step 3: Scraping Data from the Website

We make an HTTP GET request to the URL, parse the HTML content using BeautifulSoup, and find all the <div> elements with the class 'p-4', which represent items on the webpage.

Step 4: Iterating Through Items

We loop through each item found on the webpage, extract the title and price of the item, and append them to our DataFrame.

Step 5: Extracting Pagination Links

We find the pagination section on the webpage and extract the page links.

Step 6: Scraping Data from Multiple Pages

We loop through each URL in the pagination links, form a new URL, send an HTTP GET request, and extract title and price data from each page.

Step 7: Exporting Data to CSV

Finally, we export the DataFrame to a CSV file named 'products.csv'.

Output:

The CSV file will look like this :

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