SUMMARY: This project aims to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module.

Dr. Jason Brownlee’s Machine Learning Mastery hosts its tutorial lessons at https://machinelearningmastery.com/blog. The purpose of this exercise is to practice web scraping by gathering the blog entries from Machine Learning Mastery’s web pages. This iteration of the script automatically traverses the web pages to capture all articles and store the captured information in a CSV output file for sorting and filtering.

Starting URL: https://machinelearningmastery.com/blog

The source code and HTML output can be found here on GitHub.

SUMMARY: This project aims to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module.

INTRODUCTION: Haodoo is a website that houses classic Chinese literature for its readers’ enjoyment. Haodoo in Chinese can be translated to “Good Reads” in English. It collects hard-to-find Chinese text/books and makes them available for online reading. The Haodoo collection includes over 3,500 titles of text and audiobooks.

In the previous Take1 iteration, we scraped the website and obtained all the book titles and their assigned categories. In this Take2 iteration, we will use the information collected from Take1 and obtain the links for each book and file format.

Starting URL: https://haodoo.org

The source code and HTML output can be found here on GitHub.

SUMMARY: This project aims to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module.

INTRODUCTION: Haodoo is a website that houses classic Chinese literature for its readers’ enjoyment. Haodoo in Chinese can be translated to “Good Reads” in English. It collects hard-to-find Chinese text/books and makes them available for online reading. The Haodoo collection includes over 3,500 titles of text and audiobooks.

In this Take1 iteration, we will scrape the website and obtain all the book titles and their assigned categories.

Starting URL: https://haodoo.org

The source code and HTML output can be found here on GitHub.

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module.

INTRODUCTION: The Conference on Neural Information Processing Systems (NeurIPS) covers a wide range of topics in neural information processing systems and research for the biological, technological, mathematical, and theoretical applications. Neural information processing is a field that benefits from a combined view of biological, physical, mathematical, and computational sciences. This web scraping script will automatically traverse through the entire web page and collect all links to the PDF and PPTX documents.

Starting URL: https://proceedings.neurips.cc/paper/2020

The source code and HTML output can be found here on GitHub.

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping python code leverages the BeautifulSoup module.

INTRODUCTION: The SAS Global Forum covers the full range of topics in using SAS products and developing SAS solutions. This web scraping script will automatically traverse through the entire web page and collect all links to the PDF and PPTX documents. The script will also download the documents as part of the scraping process. The Python script ran in the Google Colaboratory environment and can be adapted to run in any Python environment without the Colab-specific configuration.

Starting URLs: https://www.sas.com/en_us/events/sas-global-forum/program/proceedings.html

The source code and HTML output can be found here on GitHub.