The Ultimate Web Scraping With Python Bootcamp 2023 | Udemy

Learn to extract data from the web with python with just one course, covering selectolax, playwright, scrapy and more

What you'll learn
Understand the fundamentals of web scraping in python from absolute scratch
Scrape information from static and dynamic websites and extract it to a variety of formats
Intercept and emulate hidden APIs to identify highly productive alternatives to getting your data
Master the requests library for working with HTTP
Parse and extract content from HTML using beautifulsoup, selectolax, and Microsoft Playwright
Master complex CSS selectors including descendant, child, sibling combinators
Understand how the web works, including HTTP, HTML, CSS, and JavaScript
Create scrapy crawlers and practice items, itemloaders and custom pipelines
Integrate scrapy with playwright for highly performant, fine-tuned dynamic website crawling
Practice processing and extracting data to a variety of formats including csv, json, xml, and SQL

Welcome to the Ultimate Web Scraping With Python Bootcamp, the only course you need to go from a complete beginner in python to a very competent web scraper.

Web scraping is the process of programmatically extracting data from the web. Scraping agents visit a web resource, extract content from it, and then process the resulting data in order to parse some specific information of interest.

Scraping is the kind of programming skill that offers immediate feedback, and can be used to automate a wide variety of data collection and processing tasks.

Over the next 17+ hours, we will methodically cover everything you need to know to write web scraping agents in python.

This bootcamp is organized in three parts of increasing difficulty designed to help you progressively build your skill.

Part I - Begin

We'll start by understanding how the web works by taking a closer look at HTTP, the key application layer communication protocol of the modern web. Next, we'll explore HTML, CSS, and JavaScript from first principles to get a deeper understanding of how website are built. Finally, we'll learn how to use python to send HTTP requests and parse the resulting HTML, CSS, and JavaScript to extract the data we need. Our goal in the first part of the course is to build a solid foundation in both web scraping and python, and put those skills to practice by building functional web scrapers from scratch. Selected topics include:

a detailed overview the request-response cycle

understanding user-agents, HTTP verbs, headers and statuses

understanding why custom headers can often be used to bypass paywalls

mastering the requests library to work with HTTP in python

what stateless means and how cookies work

exploring the role of proxies in modern web architectures

mastering beautifulsoup for parsing and data extraction

Part II - Refine

In the second part of the course, we'll build on the foundation we've already laid to explore more advanced topics in web scraping. We'll learn how to scrape dynamic websites that use JavaScript to render their content, by setting up Microsoft Playwright as a headless browser to automate this process. We'll also learn how to identify and emulate API calls to scrape data from websites that don't have formally public APIs. Our projects in this section will include an image scraper that can download a set number of high-resolution images given some keyword, as well as another scraping agent that extracts price and content of discounted video games from a dynamically rendered website. Topics include:

identifying and using hidden APIs and understanding the benefits they offer

emulating headers, cookies, and body content with ease

automatically generating python code from intercepted API requests using postman and httpie

working with the highly performant selectolax parsing library

mastering CSS selectors

introducing Microsoft Playwright for headless browsing and dynamic rendering

Part III - Master

In the final part of the course, we'll introduce scrapy. This will give us an excellent, time-tested framework for building more complex and robust web scrapers. We'll learn how to set up scrapy within a virtual environment and how to create spiders and pipelines to extract data from websites in a variety of formats. Having learned how to use scrapy, we'll then explore how to integrate it with Playwright so that we tackle the challenge of scraping dynamic websites from right within scrapy. We'll conclude this section by building a scraping agent that executes custom JavaScript code before returning the resulting HTML to scrapy. Some topics from this section:

learning how to set up scrapy and explore its command line interface ("the scrapy tool")

dynamically explore response objects using scrapy shell

understand and define item schemas and load data using itemloaders and input/output processors

integrate Playwright into scrapy to tackle dynamically rendered JavaScript sites

write PageMethods to specify highly specific instructions to the headless browser from right within scrapy

define custom pipelines for saving into SQL databases and highly customized output formats

In this bootcamp, I will take you step-by-step through engaging video lectures and teach you everything you need to know to get started with web scraping in python.

By the end of this course, you will have a complete toolset to conceptualize and implement scraping agents for any website you can imagine.

See you inside!

Who this course is for:
Anyone who wants to learn how to collect data from the web programmatically
Students with or without web scraping experience looking to level up
Complete beginners with no experience




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