Practical web scraping for data science : best practices and examples with Python

Includes many larger, fully worked out examples, this book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. --

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Bibliographic Details
Main Authors: Broucke, Seppe vanden, 1986- (Author), Baesens, Bart, (Author)
Format: eBook
Language: English
Published: [Berkeley, California] : Apress, [2018]
Subjects:
Python (Computer program language)
Data mining.
Automatic data collection systems.
elektronické knihy
electronic books
ISBN: 9781484235829
1484235827
9781484235812
Physical Description: 1 online resource (xvi, 306 pages) : illustrations (some color)

Cover

Table of contents

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020 |z 9781484235812 
035 |a (OCoLC)1032303167 
100 1 |a Broucke, Seppe vanden,  |d 1986-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjCj6vmfDkxTtjbtttFYRq 
245 1 0 |a Practical web scraping for data science :  |b best practices and examples with Python /  |c Seppe vanden Broucke, Bart Baesens. 
264 1 |a [Berkeley, California] :  |b Apress,  |c [2018] 
300 |a 1 online resource (xvi, 306 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 8 |a Intro; Table of Contents; About the Authors; About the Technical Reviewer; Introduction; Part I: Web Scraping Basics; Chapter 1: Introduction; 1.1 What Is Web Scraping?; 1.1.1 Why Web Scraping for Data Science?; 1.1.2 Who Is Using Web Scraping?; 1.2 Getting Ready; 1.2.1 Setting Up; 1.2.2 A Quick Python Primer; Chapter 2: The Web Speaks HTTP; 2.1 The Magic of Networking; 2.2 The HyperText Transfer Protocol: HTTP; 2.3 HTTP in Python: The Requests Library; 2.4 Query Strings: URLs with Parameters; Chapter 3: Stirring the HTML and CSS Soup; 3.1 Hypertext Markup Language: HTML 
505 8 |a 3.2 Using Your Browser as a Development Tool3.3 Cascading Style Sheets: CSS; 3.4 The Beautiful Soup Library; 3.5 More on Beautiful Soup; Part II: Advanced Web Scraping; Chapter 4: Delving Deeper in HTTP; 4.1 Working with Forms and POST Requests; 4.2 Other HTTP Request Methods; 4.3 More on Headers; 4.4 Dealing with Cookies; 4.5 Using Sessions with Requests; 4.6 Binary, JSON, and Other Forms of Content; Chapter 5: Dealing with JavaScript; 5.1 What Is JavaScript?; 5.2 Scraping JavaScript; 5.3 Scraping with Selenium; 5.4 More on Selenium; Chapter 6: From Web Scraping to Web Crawling 
505 8 |a 6.1 What Is Web Crawling?6.2 Web Crawling in Python; 6.3 Storing Results in a Database; Part III: Managerial Concerns and Best Practices; Chapter 7: Managerial and Legal Concerns; 7.1 The Data Science Process; 7.2 Where Does Web Scraping Fit In?; 7.3 Legal Concerns; Chapter 8: Closing Topics; 8.1 Other Tools; 8.1.1 Alternative Python Libraries; 8.1.2 Scrapy; 8.1.3 Caching; 8.1.4 Proxy Servers; 8.1.5 Scraping in Other Programming Languages; 8.1.6 Command-Line Tools; 8.1.7 Graphical Scraping Tools; 8.2 Best Practices and Tips; Chapter 9: Examples; 9.1 Scraping Hacker News 
505 8 |a 9.2 Using the Hacker News API9.3 Quotes to Scrape; 9.4 Books to Scrape; 9.5 Scraping GitHub Stars; 9.6 Scraping Mortgage Rates; 9.7 Scraping and Visualizing IMDB Ratings; 9.8 Scraping IATA Airline Information; 9.9 Scraping and Analyzing Web Forum Interactions; 9.10 Collecting and Clustering a Fashion Data Set; 9.11 Sentiment Analysis of Scraped Amazon Reviews; 9.12 Scraping and Analyzing News Articles; 9.13 Scraping and Analyzing a Wikipedia Graph; 9.14 Scraping and Visualizing a Board Members Graph; 9.15 Breaking CAPTCHA's Using Deep Learning; Index 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Includes many larger, fully worked out examples, this book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. --  |c Edited summary from book. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Python (Computer program language) 
650 0 |a Data mining. 
650 0 |a Automatic data collection systems. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Baesens, Bart,  |e author. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPWSDSBP2/practical-web-scraping?kpromoter=marc  |y Full text 

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