Python Web Scraping Cookbook

90 Recipes to extract data from a wide range of websites About This Book * Hands-on recipes that will take your web scraping skill to the next level; * Your one-stop solution for commom and not-so-common pain points while performing web scraping with Python; * Understand the web page structure and collect meaningful data from the website with ease Who This Book Is For This book is for Python programmers who are interested in or working with data, although all code samples are written in Python, having Python experience would certainly be helpful to play and experiment with the sample code. It is also friendly and useful for anyone with programming experiences as the techniques and mindsets will be applicable for virtually all modern programming languages. What You Will Learn * Use a wide variety of tools to Scrape any website and data. * Understand different data types, formats and ways to store and load data efficiently. * Master expression languages like XPath, CSS, and Regular expression to extract web data. * Know how to deal with Scraping traps like hidden form fields, throttling, pagination, and different status codes. * Understand web page structure and collect meaningful data from with ease. * Scrape assets like image, media. * Explore ETL processes to build customized crawler, parser and converter for extracting structured and unstructured data from websites. * Explore data mining by visualizing Scraped data and analyzing data with transformation. * Analyze text with nltk toolkit. * Build a job aggregation search website by Scraping and aggregating a number of job sources. In Detail You will learn techniques to develop high performance Scrapers, know how to deal with cookies, hidden form fields, ajax-based sites, proxying etc, and 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 skills to design and develop reliable, performant data flow, but also how to deploy your code-base to an infrastructure like Aws and Heroku. If you are in the fields of software engineering, product development, data mining or are interested in building data-driven products, you will find this book useful as each each recipe has a clear purpose and objective. Right from extracting data from the websites to writing a sophisticated web crawler, the independent recipes will be there for your rescue on the job. This book covers Python libraries - requests and BeautifulSoup. You will learn about crawling, spidering, working with AJAX websites, paginated items, and more. You will also learn to tackle problems such as 403 errors, working with proxy, scraping images, lxml, and more. With this book, you will be able to scrape websites more efficiently with more accurate data , and how to put data together.