APIs are not always available. Sometimes you have to scrape data from a webpage yourself. Luckily the modules Pandas and Beautifulsoup can help!
While web-based data collection can be a challenging task via a manual approach, a lot of automated solutions have cropped up courtesy open-source contributions from software developers. The technical term for this is web scraping or web extraction. With the use of automated solutions for scraping the web, data scientists can. Implementing Web Scraping in Python with BeautifulSoup? Python Server Side Programming Programming. BeautifulSoup is a class in the bs4 module of python. Basic purpose of building beautifulsoup is to parse HTML or XML documents. Prints all the links from a website with specific element (for example: python) mentioned in the link.
Related Course:Complete Python Programming Course & Exercises
Web Scraping “Web scraping (web harvesting or web data extraction) is a computer software technique of extracting information from websites.” HTML parsing is easy in Python, especially with help of the BeautifulSoup library. In this post we will scrape a website (our own) to extract all URL’s. Create a Beautiful Soup Object and define the parser. Implement your logic. Disclaimer: This article considers that you have gone through the basic concepts of web scraping. The sole purpose of this article is to list and demonstrate examples of web scraping. The examples mentioned have been created only for educational purposes.
Pandas has a neat concept known as a DataFrame. A DataFrame can hold data and be easily manipulated. We can combine Pandas with Beautifulsoup to quickly get data from a webpage.
If you find a table on the web like this: F4c war thunder.
We can convert it to JSON with:
And in a browser get the beautiful json output:
Converting to lists
Rows can be converted to Python lists.
We can convert it to a dataframe using just a few lines:
Beautiful Soup Web Scraping Examples
Pretty print pandas dataframe
Web Scraping Using Python Beautifulsoup
You can convert it to an ascii table with the module tabulate.
This code will instantly convert the table on the web to an ascii table:
This will show in the terminal as: