Python网络数据采集 (影印版)第2版 9787564179779
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作者(美)瑞安·米切尔(Ryan Mitchell)
出版社东南大学出版社
ISBN9787564179779
出版时间2018-11
装帧平装
开本16开
定价89元
货号1201819873
上书时间2024-07-05
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作者简介
瑞安·米切尔，位于波士顿的HedgeServ的不错软件工程师，负责开发公司的API和数据分析工具。她毕业于欧林工程学院，拥有哈佛大学扩展学院（Harvard Urliversity Exterlsion School）软件工程硕士学位以及数据科学证书。在加入HedgeServ之前，她曾就职于Abine，负责使用Python开发网络数据采集工具和自动化工具。她经常从事零售、金融和制药行业的网络数据采集项目的咨询工作，还曾经在东北大学和欧林工程学院担任课程顾问和兼职教员。
目录
Preface
Part Ⅰ.Building Scrapers
1.Your First Web Scraper
Connecting
An Introduction to BeautifulSoup
Installing BeautifulSoup
Running BeautifulSoup
Connecting Reliably and Handling Exceptions
2.Advanced HTML Parsing
You Dont Always Need a Hammer
Another Serving of BeautifulSoup
findo and findallo with BeautifulSoup
Other BeautifulSoup Objects
Navigating Trees
Regular Expressions
Regular Expressions and BeautifulSoup
Accessing Attributes
Lambda Expressions
3.Writing Web Crawlers
Traversing a Single Domain
Crawling an Entire Site
Collecting Data Across an Entire Site
Crawling Across the Internet
4.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
5.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
6.St0ring 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
Part Ⅱ.Advanced Scraping
7.Reading Documents
Document Encoding
Text
Text Encoding and the Global Internet
CSV
Reading CSV Files
PDF
Microsoft Word and .docx
8.Cleaning Your Dirty Data
Cleaning in Code
Data Normalization
Cleaning After the Fact
OpenRefine
9.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
10.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
11.Scraping JavaScript
A Brief Introduction to JavaScript
Common JavaScript Libraries
Ajax and Dynamic HTML
Executing JavaScript in Python with Selenium
Additional Selenium Webdrivers
Handling Redirects
A Final Note on JavaScript
12.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
Finding and Documenting APIs Automatically
Combining APIs with Other Data Sources
More About APIs
13.Image Processing and Text Recognition
Overview of Libraries
Pillow
Tesseract
NumPy
Processing Well-Formatted Text
Adjusting Images Automatically
Scraping Text from Images on Websites
Reading CAPTCHAs and Training Tesseract
Training Tesseract
Retrieving CAPTCHAs and Submitting Solutions
14.Avoiding Scraping Traps
A Note on Ethics
Looking Like a Human
Adjust Your Headers
Handling Cookies with JavaScript
Timing Is Everything
Common Form Security Features
Hidden Input Field Values
Avoiding Honeypots
The Human Checklist
15.Testing Your Website with Scrapers
An Introduction to Testing
What Are Unit Tests?
Python unittest
Testing Wikipedia
Testing with Selenium
Interacting with the Site
unittest or Selenium?
16.Web Crawling in Parallel
Processes versus Threads
Multithreaded Crawling
Race Conditions and Queues
The threading Module
Multiprocess Crawling
Multiprocess Crawling
Communicating Between Processes
Multiprocess Crawling--Another Approach
17.Scraping Rem0tely
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
Additional Resources
18.The Legalities and Ethics of Web Scraping
Trademarks,Copyrights,Patents,Oh My!
Copyright Law
Trespass to Chattels
The Computer Fraud and Abuse Act
robots.txt and Terms of Service
Three Web Scrapers
eBay versus Bidders Edge and Trespass to Chattels
United States v.Auernheimer and The Computer Fraud and Abuse Act
Field v.Google:Copyright and robots.txt
Moving Forward
Index
内容摘要
如果编程是魔法，那么网络数据采集肯定就是某种巫术。编写一个简单的自动化程序，你就可以查询Web服务器，请求数据，解析数据以提取所需的信息。这本实用书籍的扩充版不但介绍了网络数据采集，更是从现代网络中抓取几乎各类数据的综合指南。《Python网络数据采集（第2版·影印版·英文版）》部分侧重于网络数据采集机制：使用Python向Web服务器请求信息，对服务器响应信息做基本的处理，自动与站点展开交互。第二部分探讨了各种更具体的工具和应用程序，以应对你可能遇到的任何网络数据采集场景。
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