Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

356 Pages·2018·15.985 MB·English

by  Michael Heydt

Python Web Scraping
Cookbook
Over 90 proven recipes to get you scraping with Python,
microservices, Docker, and AWS
Michael Heydt
BIRMINGHAM - MUMBAI
Python Web Scraping Cookbook
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Contributors
About the author
Michael Heydt is an independent consultant specializing in social, mobile, analytics, and
cloud technologies, with an emphasis on cloud native 12-factor applications. Michael has
been a software developer and trainer for over 30 years and is the author of books such as
D3.js By Example, Learning Pandas, Mastering Pandas for Finance, and Instant
Lucene.NET. You can find more information about him on LinkedIn at michaelheydt.
I would like to greatly thank my family for putting up with me disappearing for months on
end and sacrificing my sparse free time to indulge in creation of content and books like this
one. They are my true inspiration and enablers.
About the reviewers
Mei Lu is the founder and CEO of Jobfully, providing career coaching for software
developers and engineering leaders. She is also a Career/Executive Coach for
Carnegie Mellon University Alumni Association, specializing in the software / high-tech
industry.
Previously, Mei was a software engineer and an engineering manager at Qpass,
M.I.T., and MicroStrategy. She received her MS in Computer Science from the
University of Pennsylvania and her MS in Engineering from Carnegie Mellon
University.
Lazar Telebak is a freelance web developer specializing in web scraping, crawling, and
indexing web pages using Python libraries/frameworks.
He has worked mostly on projects of automation, website scraping, crawling, and exporting
data in various formats (CSV, JSON, XML, and TXT) and databases such as (MongoDB,
SQLAlchemy, and Postgres). Lazar also has experience of fronted technologies and
languages such as HTML, CSS, JavaScript, and jQuery.
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Table of Contents
Preface
1
Chapter 1: Getting Started with Scraping
7
Introduction 7
Setting up a Python development environment 8
Getting ready 8
How to do it... 8
Scraping Python.org with Requests and Beautiful Soup 13
Getting ready... 13
How to do it... 14
How it works... 17
Scraping Python.org in urllib3 and Beautiful Soup 19
Getting ready... 19
How to do it... 19
How it works 20
There's more... 20
Scraping Python.org with Scrapy 21
Getting ready... 21
How to do it... 22
How it works 23
Scraping Python.org with Selenium and PhantomJS 25
Getting ready 25
How to do it... 26
How it works 28
There's more... 28
Chapter 2: Data Acquisition and Extraction
29
Introduction 29
How to parse websites and navigate the DOM using BeautifulSoup 30
Getting ready 30
How to do it... 32
How it works 35
There's more... 35
Searching the DOM with Beautiful Soup's find methods 35
Getting ready 35
Table of Contents
How to do it... 36
Querying the DOM with XPath and lxml 38
Getting ready 39
How to do it... 39
How it works 45
There's more... 45
Querying data with XPath and CSS selectors 46
Getting ready 46
How to do it... 47
How it works 47
There's more... 48
Using Scrapy selectors 48
Getting ready 48
How to do it... 48
How it works 50
There's more... 50
Loading data in unicode / UTF-8 50
Getting ready 51
How to do it... 52
How it works 53
There's more... 53
Chapter 3: Processing Data
54
Introduction 54
Working with CSV and JSON data 55
Getting ready 55
How to do it 57
How it works 63
There's more... 63
Storing data using AWS S3 64
Getting ready 64
How to do it 65
How it works 68
There's more... 69
Storing data using MySQL 69
Getting ready 69
How to do it 70
How it works 74
There's more... 74
[ ii ]
Table of Contents
Storing data using PostgreSQL 75
Getting ready 75
How to do it 76
How it works 79
There's more... 79
Storing data in Elasticsearch 80
Getting ready 80
How to do it 80
How it works 83
There's more... 83
How to build robust ETL pipelines with AWS SQS 84
Getting ready 84
How to do it - posting messages to an AWS queue 85
How it works 86
How to do it - reading and processing messages 87
How it works 89
There's more... 89
Chapter 4: Working with Images, Audio, and other Assets
90
Introduction 91
Downloading media content from the web 91
Getting ready 91
How to do it 92
How it works 92
There's more... 93
Parsing a URL with urllib to get the filename 93
Getting ready 93
How to do it 93
How it works 94
There's more... 94
Determining the type of content for a URL 95
Getting ready 95
How to do it 95
How it works 95
There's more... 96
Determining the file extension from a content type 97
Getting ready 97
How to do it 97
How it works 97
[ iii ]
Table of Contents
There's more... 98
Downloading and saving images to the local file system 98
How to do it 99
How it works 99
There's more... 100
Downloading and saving images to S3 100
Getting ready 100
How to do it 100
How it works 101
There's more... 102
Generating thumbnails for images 102
Getting ready 103
How to do it 103
How it works 104
Taking a screenshot of a website 105
Getting ready 105
How to do it 105
How it works 107
Taking a screenshot of a website with an external service 108
Getting ready 109
How to do it 110
How it works 112
There's more... 114
Performing OCR on an image with pytesseract 114
Getting ready 114
How to do it 115
How it works 116
There's more... 116
Creating a Video Thumbnail 116
Getting ready 116
How to do it 116
How it works 118
There's more.. 119
Ripping an MP4 video to an MP3 119
Getting ready 119
How to do it 120
There's more... 120
Chapter 5: Scraping - Code of Conduct
121
[ iv ]