Web Scraping JavaScript Generated Pages with Python

This project was created just for educational proposes.

The code shows how to do web scraping dynamic content pages generated from Javascript using Python and Selenium.

We use as data the NBA site to extract stats information from players and generate a json file with some top 10 rankings.
Important: Educational Purposes Only

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them

• Python 3.x
• Geckodriver
• Firefox (you can use another browser)
• Some Python libraries following

Installing

A step by step series of examples that tell you how to get a development env running

Install the following Python libraries:

• requests2 - Requests is the only Non-GMO HTTP library for Python, safe for human consumption;
• pandas - A great Python Data Analysis Library;
• lxml - Library for processing XML and HTML;
• beautfulsoup4 - Library for pulling data out of HTML and XML files;
• selenium - An API to write functional/acceptance tests using Selenium WebDriver.

With:

pip install -r requirements.txt

Geckodriver

You can find install instructions in the official repository.

Running the code

python webscraping.py

Contributing

Feel free to submitting pull requests to us.

Authors

• Gabriel Froes - Initial work - Twitter
• Vanessa Weber - Initial work - Twitter

License

This project is licensed under the GNU General Public License.

Acknowledgments

• First steps in Python language
• Create simple and useful things
• Build content for Código Fonte TV, our Youtube Channel.