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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Storing data using MySQL

MySQL is a freely available, open source Relational Database Management System (RDBMS). In this example, we will read the planets data from the website and store it into a MySQL database.

Getting ready

You will need to have access to a MySQL database. You can install one locally installed, in the cloud, within a container. I am using a locally installed MySQL server and have the root password set to mypassword. You will also need to install the MySQL python library. You can do this with pip install mysql-connector-python.

  1. The first thing to do is to connect to the database using the mysql command at the terminal:
# mysql -uroot -pmypassword
mysql: [Warning] Using a password on the command line...
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