Book Image

Python Web Scraping Cookbook

By : Michael Heydt
Book Image

Python Web Scraping Cookbook

By: Michael Heydt

Overview of this book

Python 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, caches, and more. 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 needed to design and develop reliable performance data flows, but also deploy your codebase to 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. This book covers Python libraries, requests, and BeautifulSoup. You will learn about crawling, web 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, and LXML. By the end of this book, you will be able to scrape websites more efficiently and able to deploy and operate your scraper in the cloud.
Table of Contents (13 chapters)

Storing data using AWS S3

There are many cases where we just want to save content that we scrape into a local copy for archive purposes, backup, or later bulk analysis. We also might want to save media from those sites for later use. I've built scrapers for advertisement compliance companies, where we would track and download advertisement based media on web sites to ensure proper usage, and also to store for later analysis, compliance and transcoding.

The storage required for these types of systems can be immense, but with the advent of cloud storage services such as AWS S3 (Simple Storage Service), this becomes much easier and more cost effective than managing a large SAN (Storage Area Network) in your own IT department. Plus, S3 can also automatically move data from hot to cold storage, and then to long-term storage, such as a glacier, which can save you much more money...