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

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Untangle your web scraping complexities and access web data with ease using Python scripts

Key FeaturesHands-on recipes to advance your web scraping skills to expert levelAddress complex and challenging web scraping tasks using PythonUnderstand the web page structure and collect meaningful data from the website with easeBook DescriptionPython Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance scrapers and deal with crawlers, sitemaps, forms automation, Ajax-based sites, and caches.You'll explore a number of real-world scenarios where every part of the development/product life cycle will be fully covered. You will not only develop the skills to design and develop reliable data flows, but also deploy your codebase to an AWS. If you are involved in software engineering, product development, or data mining (or are interested in building data-driven products), you will find this book useful as each recipe has a clear purpose and objective.

Right from extracting data from the websites to writing a sophisticated web crawler, the book's independent recipes will be a godsend on the job. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web spidering, working with AJAX websites, and paginated items. You will also learn to tackle problems such as 403 errors, working with proxy, scraping images, and LXML.

By the end of this book, you will be able to scrape websites more efficiently and deploy and operate your scraper in the cloud.

What you will learnUse a wide variety of tools to scrape any website and data-including BeautifulSoup, Scrapy, Selenium, and many moreMaster expression languages such as XPath, CSS, and regular expressions to extract web dataDeal with scraping traps such as hidden form fields, throttling, pagination, and different status codesBuild robust scraping pipelines with SQS and RabbitMQScrape assets such as images media and know what to do when Scraper fails to runExplore ETL techniques of building a customized crawler, parser, and convert structured and unstructured data from websitesDeploy and run your scraper as a service in AWS Elastic Container ServiceWho This Book Is ForPython Web Scraping Cookbook is ideal for Python programmers, web administrators, security professionals or someone who wants to perform web analytics would find this book relevant and useful. Familiarity with Python and basic understanding of web scraping would be useful to take full advantage of this book.

Table of ContentsGetting Started with ScrapingData Acquisition and ExtractionProcessing DataWorking with Images, Audio and Other AssetsScraping - Code of ConductScraping Challenges and SolutionsText Wrangling and AnalysisSearching, Mining and Visualizing DataWorking with an API and Providing a Data APICreating Scraper Microservices with DockerA Complete Real-World Example

779 pages, Kindle Edition

Published February 9, 2018

11 people are currently reading
31 people want to read

About the author

Michael Heydt

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1 review
March 26, 2018
I'm not sure. I've only made it through the table of contents. It looks like what I want.

It's probably worth the read. I don't like the fact that Amazon is forcing me to write this review with no less than 18 words. It's too bad because the book isn't being reviewed here it's Amazon. How's that for 18 words Amazon?
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