Data Science and Machine Learning Series: Advanced Data Acquisition using Python Scrapy, Selenium, and MySQL

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 2h 10m | 649 MB

Apply Python Scrapy to an advanced data acquisition project in this third course in the Data Science and Machine Learning Series. Follow along with machine learning expert Advait Jayant through a combination of lecture and hands-on to practice applying this powerful web crawling framework built in Python.

The following three topics will be covered in this Data Science and Machine Learning course:

• Scraping an Online Bookstore Part 1. Build a web crawler using Scrapy to acquire text from an online bookstore in this first topic in the Data Science and Machine Learning Series. Scrapy is an open source web crawling framework written in Python for extracting the data you need from websites. It is built on top of Twisted, an asynchronous networking framework.
• Scraping an Online Bookstore Part 2. Continue scraping data from the online bookstore using Scrapy in this second topic in the Data Science and Machine Learning Series. Leverage the Selenium tool for writing automated tests for web applications. Use the web crawler to export the data to json, csv, and other file formats.
• Scraping an Online Bookstore Part 3. Export the data obtained using the web crawler we built in the prior two sessions into a MySQL database in this third topic in the Data Science and Machine Learning Series.