In this 2-hour long project-based course, you will learn how to analyze complex HTML structures and identify the relevant data to be extracted using Scrapy and XPath. You will apply the concepts of web scraping, including setting up a Scrapy project, generating spiders, and using XPath queries to extract data from websites that do not provide an API. Additionally, you will evaluate the effectiveness and efficiency of your scraping code, considering factors such as changing webpage structures, scalability, and coding defensively to ensure robustness. The course includes hands-on labs where you will create a spider and parse complex HTML, allowing you to practice and reinforce the concepts learned.



Web Scraping with Python

Instructor: Alfredo Deza
Access provided by UNext MAHE
2,233 already enrolled
(19 reviews)
Recommended experience
What you'll learn
- Parse complex HTML using Python 
- Apply powerful techniques for managing web scraping effectively 
Skills you'll practice
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Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies

About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Parse and persist 
Recommended experience
Some Python experience and familiarity with the terminal
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How you'll learn
- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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Reviewed on Feb 11, 2025
very good course for the introduction in scrapy and web scraping.





