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Scrapy: Powerful Web Scraping & Crawling with Python

Scrapy: Powerful Web Scraping & Crawling with Python

Python Scrapy Tutorial - Learn how to scrape websites and build a powerful web crawler using Scrapy, Splash and Python

What you'll learn

  • Creating a web crawler in Scrapy
  • Crawling a single or multiple pages and scrape data
  • Deploying & Scheduling Spiders to ScrapingHub
  • Logging into Websites with Scrapy
  • Running Scrapy as a Standalone Script
  • Integrating Splash with Scrapy to scrape JavaScript rendered websites
  • Using Scrapy with Selenium in Special Cases, e.g. to Scrape JavaScript Driven Web Pages
  • Building Scrapy Advanced Spider
  • More functions that Scrapy offers after Spider is Done with Scraping
  • Editing and Using Scrapy Parameters
  • Exporting data extracted by Scrapy into CSV, Excel, XML, or JSON files
  • Storing data extracted by Scrapy into MySQL and MongoDB databases
  • Several real-life web scraping projects, including Craigslist, LinkedIn and many others
  • Python source code for all exercises in this Scrapy tutorial can be downloaded
  • Q&A board to send your questions and get them answered quickly

Requirements

  • Python Level: Intermediate. This Scrapy tutorial assumes that you already know the basics of writing simple Python programs and that you are generally familiar with Python's core features (data structures, file handling, functions, classes, modules, common libraries, etc.).
  • Python 2.7+ or Python 3.3+
  • Any operating system (Linux, Mac, Windows) is good.
  • Positiveness and willingness to learn new things and to ask questions (if any) at the Q&A board of the course.
  • If you do not know what Scrapy is or why you should use it, please read the course description and watch the preview lectures BEFORE joining the course.

Description

Why this course?

  • Join the most popular course on Web Scraping  with Scrapy, Selenium and Splash.
  • Learn from the a professional instructor, Lazar Telebak, full-time Web Scraping Consultant.
  • Apply real-world examples and practical projects of Web Scraping popular websites.
  • Get the most up-to-date course and the only course with 10+ hours of playable content.
  • Empower your knowledge with an active Q&A board to answer all your questions.
  • 30 days money-back guarantee.

Scrapy is a free and open source web crawling framework, written in Python. Scrapy is useful for web scraping and extracting structured data which can be used for a wide range of useful applications, like data mining, information processing or historical archival. This Python Scrapy tutorial covers the fundamentals of Scrapy.

Web scraping is a technique for gathering data or information on web pages. You could revisit your favorite web site every time it updates for new information, or you could write a web scraper to have it do it for you!

Web crawling is usually the very first step of data research. Whether you are looking to obtain data from a website, track changes on the internet, or use a website API, web crawlers are a great way to get the data you need.

A web crawler, also known as web spider, is an application able to scan the World Wide Web and extract information in an automatic manner. While they have many components, web crawlers fundamentally use a simple process: download the raw data, process and extract it, and, if desired, store the data in a file or database. There are many ways to do this, and many languages you can build your web crawler or spider in.

Before Scrapy, developers have relied upon various software packages for this job using Python such as urllib2 and BeautifulSoup which are widely used. Scrapy is a new Python package that aims at easy, fast, and automated web crawling, which recently gained much popularity.

Scrapy is now widely requested by many employers, for both freelancing and in-house jobs, and that was one important reason for creating this Python Scrapy course, and that was one important reason for creating this Python Scrapy tutorial to help you enhance your skills and earn more income.

In this Scrapy tutorial, you will learn how to install Scrapy. You will also build a basic and advanced spider, and finally learn more about Scrapy architecture. Then you are going to learn about deploying spiders, logging into the websites with Scrapy. We will build a generic web crawler with Scrapy, and we will also integrate Splash and Selenium to work with Scrapy to iterate our pages. We will build an advanced spider with option to iterate our pages with Scrapy, and we will close it out using Close function with Scrapy, and then discuss Scrapy arguments. Finally, in this course, you will learn how to save the output to databases, MySQL and MongoDB. There is a dedicated section for diverse web scraping solved exercises... and updating.

One of the main advantages of Scrapy is that it is built on top of Twisted, an asynchronous networking framework. "Asynchronous" means that you do not have to wait for a request to finish before making another one; you can even achieve that with a high level of performance. Being implemented using a non-blocking (aka asynchronous) code for concurrency, Scrapy is really efficient.

It is worth noting that Scrapy tries not only to solve the content extraction (called scraping), but also the navigation to the relevant pages for the extraction (called crawling). To achieve that, a core concept in the framework is the Spider -- in practice, a Python object with a few special features, for which you write the code and the framework is responsible for triggering it.

Scrapy provides many of the functions required for downloading websites and other content on the internet, making the development process quicker and less programming-intensive. This Python Scrapy tutorial will teach you how to use Scrapy to build web crawlers and web spiders.

Scrapy is the most popular tool for web scraping and crawling written in Python. It is simple and powerful, with lots of features and possible extensions.

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