$ apt-get install python-bs4 (for Python 2) $ apt-get install python3-bs4 (for Python 3) Beautiful Soup 4 is published through PyPi, so if you can’t install it with the system packager, you can install it with easyinstall or pip. The package name is beautifulsoup4, and the same package works on Python 2 and Python 3. 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: We can convert it to JSON with.
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Screen-scraping library
Project description
Beautiful Soup is a library that makes it easy to scrape informationfrom web pages. It sits atop an HTML or XML parser, providing Pythonicidioms for iterating, searching, and modifying the parse tree.
To go beyond the basics, comprehensive documentation is available.
Since 2012, Beautiful Soup has been developed as a Python 2 librarywhich is automatically converted to Python 3 code as necessary. Thismakes it impossible to take advantage of some features of Python3.
For this reason, I plan to discontinue Beautiful Soup's Python 2support at some point after December 31, 2020: one year after thesunset date for Python 2 itself. Beyond that point, new Beautiful Soupdevelopment will exclusively target Python 3. Of course, olderreleases of Beautiful Soup, which support both versions, will continueto be available.
If you use Beautiful Soup as part of your professional work, please consider aTidelift subscription.This will support many of the free software projects your organizationdepends on, not just Beautiful Soup.
If you use Beautiful Soup for personal projects, the best way to saythank you is to readTool Safety, a zine Iwrote about what Beautiful Soup has taught me about softwaredevelopment.
The bs4/doc/ directory contains full documentation in Sphinxformat. Run make html
in that directory to create HTMLdocumentation.
Beautiful Soup supports unit test discovery from the project root directory:
If you checked out the source tree, you should see a script in thehome directory called test-all-versions. This script will run the unittests under Python 2, then create a temporary Python 3 conversion ofthe source and run the unit tests again under Python 3.
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Web Scraping Free
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APIs are not always available. Sometimes you have to scrape data from a webpage yourself. Luckily the modules Pandas and Beautifulsoup can help!
Related Course:Complete Python Programming Course & Exercises
Web scraping
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:
Bs4 Scrape Website
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:
Pretty print pandas dataframe
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: