Scrapy
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精通Scrapy網路爬蟲
本書深入系統地介紹Python流行框架Scrapy的相關技術及使用技巧。全書共十四章，從邏輯上可分為基礎篇和高級篇兩部分，基礎篇重點介紹Scrapy的核心元素，如spider、selector、item、link等；高級篇講解爬蟲的高級話題，如登錄認證、文件下載、執行JavaScript、動態網頁爬取、使用HTTP代理、分佈式爬蟲的編寫等，並配合項目案例講解，包括供練習使用的網站，以及京東、知乎、豆瓣、360爬蟲案例等。 本書案例豐富，注重實踐，代碼註解詳盡，適合有一定Python語言基礎，想學習編寫複雜網路爬蟲的讀者使用。
精通Scrapy网_爬虫
�本_深入系_地介_了Python流行框架Scrapy的相_技_及使用技巧。全_共14章，___上可分_基_篇和高_篇_部分，基_篇重_介_Scrapy的核心元素，如spider、selector、item、link等；高_篇_解爬虫的高___，如登___、文件下_、_行JavaScript、__网_爬取、使用HTTP代理、分布式爬虫的__等，并配合_目案例_解，包括供__使用的网站，以及京_、知乎、豆瓣、360爬虫案例等。 本_案例丰富，注重__，代_注___，适合有一定Python_言基_，想____复_网_爬虫的_者使用。
Learning Scrapy
Learn the art of efficient web scraping and crawling with PythonAbout This Book• Extract data from any source to perform real time analytics.• Full of techniques and examples to help you crawl websites and extract data within hours.• A hands-on guide to web scraping and crawling with real-life problems and solutionsWho This Book Is ForIf you are a software developer, data scientist, NLP or machine-learning enthusiast or just need to migrate your company's wiki from a legacy platform, then this book is for you. It is perfect for someone , who needs instant access to large amounts of semi-structured data effortlessly.What You Will Learn• Understand HTML pages and write XPath to extract the data you need• Write Scrapy spiders with simple Python and do web crawls• Push your data into any database, search engine or analytics system• Configure your spider to download files, images and use proxies• Create efficient pipelines that shape data in precisely the form you want• Use Twisted Asynchronous API to process hundreds of items concurrently• Make your crawler super-fast by learning how to tune Scrapy's performance• Perform large scale distributed crawls with scrapyd and scrapinghubIn DetailThis book covers the long awaited Scrapy v 1.0 that empowers you to extract useful data from virtually any source with very little effort. It starts off by explaining the fundamentals of Scrapy framework, followed by a thorough description of how to extract data from any source, clean it up, shape it as per your requirement using Python and 3rd party APIs. Next you will be familiarised with the process of storing the scrapped data in databases as well as search engines and performing real time analytics on them with Spark Streaming. By the end of this book, you will perfect the art of scarping data for your applications with easeStyle and approachIt is a hands on guide, with first few chapters written as a tutorial, aiming to motivate you and get you started quickly. As the book progresses, more advanced features are explained with real world examples that can be reffered while developing your own web applications.