Extract Tables With BeautifulSoup in Python

Below are the steps in which we will see how to extract tables with beautiful soup in Python:

Step 1: Import the Library and Define Target URL

Firstly, we need to import modules and then assign the URL.

Step 2: Create Object for Parsing

In this step, we are creating a BeautifulSoup Object for parsing and further executions of extracting the tables.

Step 3: Locating and Extracting Table Data

In this step, we are finding the table and its rows. 

Step 4: Extracting Text from Table Cell

Now create a loop to find all the td tags in the table and then print all the table data tags.

Complete Code

Below is the complete implementation of the above steps. In this code, we’re scraping a specific table (numpy-table class) from a w3wiki page about Python lists. After locating the table rows, we iterate through each row to extract and print the cell data.

Output:

Scraping is a very essential skill that everybody should learn, It helps us to scrap data from a website or a file that can be used in another beautiful manner by the programmer. In this article, we will learn how to extract tables with beautiful soup and XML from a file. Here, we will scrap data using the Beautiful Soup Python Module.

Perquisites:  

• Web scraping using Beautiful soup
• XML Parsing

Modules Required

• bs4: Beautiful Soup is a Python library for pulling data out of HTML and XML files.
• lxml: It is a Python library that allows us to handle XML and HTML files.
• requests: It allows you to send HTTP/1.1 requests extremely easily.

pip install bs4
pip install lxml
pip install request