Stone River eLearning – Python Scrapy: Scrape Web Data Using Python

Stone River eLearning – Python Scrapy: Scrape Web Data Using Python

Python Scrapy: Scrape Web Data Using Python

One of five popular Python libraries

Scraping data from webpages can be a tedious job. But it doesn’t have to be.

With Scrapy, you can scrape using XPath or CSS. With the large number of examples from both techniques, you’re sure to find a solution that fits for you.

Whether your targeting data on a single page or multiple, Scrapy can handle the job. No matter if the data is within a list, you can scrape specific patterns right out of the list. Building up your specific Scrapy job isn’t a difficult task.

Scrapy is a Python library. If you’re familiar with Python, XPath or CSS, you’ll feel right at home using Scrapy.

At the end of this course, you will understand:

• what Scrapy is used for
• how to install it
• how to use Scapy

In summary, you’ll be able to target specific elements on a webpage, whether the element is stand along or in a list. Then you can retrieve a group of those elements or just one. This technique allows you to pull down specific types of data.

The course ends with a project to help solidify what you’ve learned. There is a full walk through included with the project solution.

Course Curriculum

Scrapy

• Course Introduction (1:39)
• Module Introduction (1:36)
• Scrapy Introduction (7:42)
• Text Extraction (10:25)
• Scrapy Execution (4:27)
• Scraping with CSS (9:42)
• Another XPath Scrape (8:11)
• Project Instructions (5:03)
• Project Solution (5:35)
• Module Summary (0:39)

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