Web Scraping with Python: Data Extraction from the Modern Web, 3rd Edition [3 ed.] 9781098145354

Table of contents :
Preface
What Is Web Scraping?
Why Web Scraping?
About This Book
Conventions Used in This Book
Using Code Examples
O’Reilly Online Learning
How to Contact Us
Acknowledgments
I. Building Scrapers
1. How the Internet Works
Networking
Physical Layer
Data Link Layer
Network Layer
Transport Layer
Session Layer
Presentation Layer
Application Layer
HTML
CSS
JavaScript
Watching Websites with Developer Tools
2. The Legalities and Ethics of Web Scraping
Trademarks, Copyrights, Patents, Oh My!
Copyright Law
Copyright and artificial intelligence
Trespass to Chattels
The Computer Fraud and Abuse Act
robots.txt and Terms of Service
Three Web Scrapers
eBay v. Bidder’s Edge and Trespass to Chattels
United States v. Auernheimer and the Computer Fraud and Abuse Act
Field v. Google: Copyright and robots.txt
3. Applications of Web Scraping
Classifying Projects
E-commerce
Marketing
Academic Research
Product Building
Travel
Sales
SERP Scraping
4. Writing Your First Web Scraper
Installing and Using Jupyter
Connecting
An Introduction to BeautifulSoup
Installing BeautifulSoup
Running BeautifulSoup
Connecting Reliably and Handling Exceptions
5. Advanced HTML Parsing
Another Serving of BeautifulSoup
find() and find_all() with BeautifulSoup
Other BeautifulSoup Objects
Navigating Trees
Dealing with children and other descendants
Dealing with siblings
Dealing with parents
Regular Expressions
Regular Expressions and BeautifulSoup
Accessing Attributes
Lambda Expressions
You Don’t Always Need a Hammer
6. Writing Web Crawlers
Traversing a Single Domain
Crawling an Entire Site
Collecting Data Across an Entire Site
Crawling Across the Internet
7. Web Crawling Models
Planning and Defining Objects
Dealing with Different Website Layouts
Structuring Crawlers
Crawling Sites Through Search
Crawling Sites Through Links
Crawling Multiple Page Types
Thinking About Web Crawler Models
8. Scrapy
Installing Scrapy
Initializing a New Spider
Writing a Simple Scraper
Spidering with Rules
Creating Items
Outputting Items
The Item Pipeline
Logging with Scrapy
More Resources
9. Storing Data
Media Files
Storing Data to CSV
MySQL
Installing MySQL
Some Basic Commands
Integrating with Python
Database Techniques and Good Practice
“Six Degrees” in MySQL
Email
II. Advanced Scraping
10. Reading Documents
Document Encoding
Text
Text Encoding and the Global Internet
A history of text encoding
Encodings in action
CSV
Reading CSV Files
PDF
Microsoft Word and .docx
11. Working with Dirty Data
Cleaning Text
Working with Normalized Text
Cleaning Data with Pandas
Cleaning
Indexing, Sorting, and Filtering
More About Pandas
12. Reading and Writing Natural Languages
Summarizing Data
Markov Models
Six Degrees of Wikipedia: Conclusion
Natural Language Toolkit
Installation and Setup
Statistical Analysis with NLTK
Lexicographical Analysis with NLTK
Additional Resources
13. Crawling Through Forms and Logins
Python Requests Library
Submitting a Basic Form
Radio Buttons, Checkboxes, and Other Inputs
Submitting Files and Images
Handling Logins and Cookies
HTTP Basic Access Authentication
Other Form Problems
14. Scraping JavaScript
A Brief Introduction to JavaScript
Common JavaScript Libraries
jQuery
Google Analytics
Google Maps
Ajax and Dynamic HTML
Executing JavaScript in Python with Selenium
Installing and Running Selenium
Selenium Selectors
Waiting to Load
XPath
Additional Selenium WebDrivers
Handling Redirects
A Final Note on JavaScript
15. Crawling Through APIs
A Brief Introduction to APIs
HTTP Methods and APIs
More About API Responses
Parsing JSON
Undocumented APIs
Finding Undocumented APIs
Documenting Undocumented APIs
Combining APIs with Other Data Sources
More About APIs
16. Image Processing and Text Recognition
Overview of Libraries
Pillow
Tesseract
Installing Tesseract
NumPy
Processing Well-Formatted Text
Adjusting Images Automatically
Scraping Text from Images on Websites
Reading CAPTCHAs and Training Tesseract
Training Tesseract
Scraping and preparing images
Creating box files with the Tesseract trainer project
Training Tesseract from box files
Using traineddata files with Tesseract
Retrieving CAPTCHAs and Submitting Solutions
17. Avoiding Scraping Traps
A Note on Ethics
Looking Like a Human
Adjust Your Headers
Handling Cookies with JavaScript
TLS Fingerprinting
Timing Is Everything
Common Form Security Features
Hidden Input Field Values
Avoiding Honeypots
The Human Checklist
18. Testing Your Website with Scrapers
An Introduction to Testing
What Are Unit Tests?
Python unittest
Testing Wikipedia
Testing with Selenium
Interacting with the Site
Drag and drop
Taking screenshots
19. Web Scraping in Parallel
Processes Versus Threads
Multithreaded Crawling
Race Conditions and Queues
More Features of the Threading Module
Multiple Processes
Multiprocess Crawling
Communicating Between Processes
Multiprocess Crawling—Another Approach
20. Web Scraping Proxies
Why Use Remote Servers?
Avoiding IP Address Blocking
Portability and Extensibility
Tor
PySocks
Remote Hosting
Running from a Website-Hosting Account
Running from the Cloud
Moving Forward
Web Scraping Proxies
ScrapingBee
ScraperAPI
Oxylabs
Zyte
Additional Resources
Index