The Ultimate Web Scraping With Python Bootcamp 2024
The Ultimate Web Scraping With Python Bootcamp 2024, available at $64.99, has an average rating of 4.32, with 161 lectures, based on 276 reviews, and has 2578 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone who wants to learn how to collect data from the web programmatically or Students with or without web scraping experience looking to level up or Complete beginners with no experience It is particularly useful for Anyone who wants to learn how to collect data from the web programmatically or Students with or without web scraping experience looking to level up or Complete beginners with no experience.
Enroll now: The Ultimate Web Scraping With Python Bootcamp 2024
Summary
Title: The Ultimate Web Scraping With Python Bootcamp 2024
Price: $64.99
Average Rating: 4.32
Number of Lectures: 161
Number of Published Lectures: 161
Number of Curriculum Items: 161
Number of Published Curriculum Objects: 161
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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:
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a detailed overview the request-response cycle
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understanding user-agents, HTTP verbs, headers and statuses
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understanding why custom headers can often be used to bypass paywalls
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mastering the requests library to work with HTTP in python
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what stateless means and how cookies work
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exploring the role of proxies in modern web architectures
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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:
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identifying and using hidden APIs and understanding the benefits they offer
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emulating headers, cookies, and body content with ease
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automatically generating python code from intercepted API requests using postman and httpie
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working with the highly performant selectolax parsing library
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mastering CSS selectors
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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:
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learning how to set up scrapy and explore its command line interface (“the scrapy tool“)
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dynamically explore response objects using scrapy shell
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understand and define item schemas and load data using itemloaders and input/output processors
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integrate Playwright into scrapy to tackle dynamically rendered JavaScript sites
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write PageMethods to specify highly specific instructions to the headless browser from right within scrapy
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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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Prerequisites
Lecture 2: A Useful Mental Model
Lecture 3: All Code Resources
Chapter 2: The HTTP Protocol
Lecture 1: What Is HTTP?
Lecture 2: The Request-Response Cycle
Lecture 3: Extra: But, This Website Remembers Me
Lecture 4: User-Agents
Lecture 5: HTTP Verbs
Lecture 6: Status Codes
Lecture 7: Headers
Lecture 8: Extra: Headers Do Lie
Lecture 9: Proxies
Chapter 3: HTML, CSS, And JavaScript
Lecture 1: The Ingredients
Lecture 2: Markup
Lecture 3: Attributes
Lecture 4: Presentation
Lecture 5: Some More Rules
Lecture 6: Behaviour
Lecture 7: More JavaScript
Lecture 8: JavaScript In Web Scraping
Lecture 9: Comments
Lecture 10: Embedded
Chapter 4: Web Requests In Python
Lecture 1: Urllib
Lecture 2: Requests
Lecture 3: Setting Headers
Lecture 4: Query Parameters
Lecture 5: Authentication And Authorization
Lecture 6: Aside From GET
Lecture 7: POSTing Data
Chapter 5: Parsing And Extraction
Lecture 1: BeautifulSoup
Lecture 2: Tags
Lecture 3: Parents, Children, And Descendants
Lecture 4: Siblings
Lecture 5: Extracting Text
Lecture 6: All Strings
Lecture 7: Search
Lecture 8: Challenge
Lecture 9: Solution
Lecture 10: Solution Refinement
Lecture 11: An Extra: pandas
Lecture 12: Functional Search Patterns
Lecture 13: Text Search
Lecture 14: Searching By CSS
Lecture 15: Just One Tag
Chapter 6: Project 1 – Portfolio Valuation With Google Finance
Lecture 1: Scope Statement
Lecture 2: An Extra: Some Finance Concepts
Lecture 3: Parsing Price
Lecture 4: Non-USD Prices
Lecture 5: Adding Structure With Dataclasses
Lecture 6: Position And Portfolio
Lecture 7: Tabular Display
Chapter 7: APIs: The Hidden Gems
Lecture 1: Befriend The Network Tab
Lecture 2: Case Study: Coffee Shop Locations
Lecture 3: The Advantages Of APIs
Lecture 4: Full Header Emulation
Lecture 5: An Extra: Postman
Lecture 6: Code Generation
Lecture 7: Challenge
Lecture 8: Solution: Interacting With The API
Lecture 9: Solution: Processing The Data
Lecture 10: Solution: Adding Geocode
Chapter 8: Selectolax And Advanced CSS Selectors
Lecture 1: Introduction
Lecture 2: What Is selectolax?
Lecture 3: CSS Combinators
Lecture 4: Sibling Combinators
Lecture 5: Selector Types
Chapter 9: Project 2 – Image Scraper
Lecture 1: Scope Statement
Lecture 2: Prospecting
Lecture 3: NOTE: Quick Correction To CSS Selector
Lecture 4: Scraping HTML
Lecture 5: Filtering Relevant URLs
Lecture 6: Extracting High-Res Image URLs
Lecture 7: Saving The Images
Lecture 8: Stepping It Up With Logging
Lecture 9: Back To The API
Lecture 10: Filtered Canonical URLs
Lecture 11: Pagination Prospecting
Lecture 12: Wrapping Up
Chapter 10: Tackling JavaScript With Microsoft PlayWright
Lecture 1: What You See vs. What You Get
Lecture 2: Rendering JavaScript
Lecture 3: PlayWright Over Selenium
Lecture 4: Case Study: Show Me The Money
Chapter 11: Project 3 – Building A Configurable Scraping Pipeline
Lecture 1: Scope Statement
Lecture 2: Initial Setup
Lecture 3: Fully Loaded Site
Lecture 4: Selecting Game Containers
Lecture 5: More Robust Render Thresholds
Lecture 6: Extracting Title And Thumbnail
Lecture 7: Game Category Tags
Instructors
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Andy Bek
Software Consultant
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 5 votes
- 3 stars: 21 votes
- 4 stars: 57 votes
- 5 stars: 186 votes
Frequently Asked Questions
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Can I take my courses with me wherever I go?
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