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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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