Website Scraping with Python
This book is 80% complete
Last updated on 2017-10-26
About the Book
New version by Apress
In 2018 I teamed-up with Apress and we released an updated version of this book. You can find it on Amazon: https://amzn.to/2Dkl4gI
This book is the follow-up of my previous one: "XML processing and website scraping in Java". There I looked at ways and tools to process XML and HTML in Java, did some performace comparisons and introduced some new programming concepts to make things even better.
In this book I take a closer look at website scraping with the two tools used nowadays: BeautifulSoup and Scrapy.
I create the sample application from the Java book -- now in Python, use the two tools for parsing, show examples how to export CSV files in Python.
As a bonus I will compare the two tools for their runtime, try to tweak where possible and I will give a quick introduction on plotting the runtimes as charts.
Until it is finished, you can buy the book for a discounted price. The final book will be around $35.
I will write about the following topics in this book:
- Performance comparison
- Plotting in Python
- Functional programming with Python
- Parallel code execution with Python
- Sample application to gather Amazon data
- Other real-life projects (source code coming soon into the package)
- Update for Scrapy's release and Python 3 (coming soon)
- What will I do exactly?
- About the programming language
- Some extra feature
- Length of the book
- Some brief words about the project
1. BeautifulSoup – The ancestor of JSoup
- 1.1 Some words about BeautifulSoup
- 1.2 Configuring the download timeout
- 1.3 Configuring the proxy
- 1.4 Changing the XML-parser behind BeautifulSoup
- 1.5 Some of the errors that happened
- 1.6 Bits and pieces of the solution
- 1.7 Printing a CSV line
- 1.8 Conclusion
2. Scrapy – another way to gather data
- 2.1 Some words about Scrapy
- 2.2 Setting up the project
- 2.3 Configuring the download timeout
- 2.4 Configuring the proxy
- 2.5 Working with offline data
- 2.6 Bits and pieces of the solution
- 2.7 Errors which happened
- 2.8 Exporting the data as a CSV
- 2.9 Accessing settings
- 2.10 Scrapy as a library
- 2.11 Conclusion
3. Performance of the solutions
- 3.1 The dataset
- 3.2 Introducing the test environments
- 3.3 The test scenarios
- 3.4 BeautifulSoup compared with itself
- 3.5 Comparing Scrapy with itself
- 3.6 Comparing both tools
4. Creating plots with Python
- 4.1 Simple examples
- 4.2 Display multiple data ranges
- 4.3 Displaying the averages
- 4.4 Displaying the legend
- 4.5 Formatting the plot
- 4.6 Conclusion
5. Some thoughts on functional programming
- 5.1 The idea behind functional programming
- 5.2 First class functions
- 5.3 Currying
- 5.4 Writing declaratively
- 5.5 Using map and reduce
- 5.6 Using recursion
- 5.7 Pipelining
- 5.8 Applying functional programming
- 5.9 Conclusion
6. Parallel working
- 6.1 Why Should I care, I use Scrapy?
- 6.2 Parallelism in Python
- 6.3 An example
- 6.4 CPU-bound tasks
- 6.5 Possible errors you can encounter
- 6.6 Conclusion
- 6.7 Sources
7. Two real-life projects
- 7.1 Sport clubs spider
- 7.2 Bloso scraper
- 7.3 Conclusion
Extra! Extra! Read all about it!
- Introducing the requirements
- Starting the project
- The items
- Defining the spider
- Exporting the data into a database
- Offline data
- The sources
- Next step
Little Free Libraryhttp://www.littlefreelibrary.org
Our mission is to promote literacy and the love of reading by building free book exchanges worldwide and to build a sense of community as we share skills, creativity and wisdom across generations.
The Leanpub 45-day 100% Happiness Guarantee
Within 45 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms
Free Updates. Free App. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers), EPUB (for phones and tablets), MOBI (for Kindle) and in the free Leanpub App (for Mac, Windows, iOS and Android). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.