Python Scrapy: Scrape Web Data Using Python
One of five popular Python libraries
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Overview
Do you find scraping data from web pages a tedious job? It really 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.
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Description
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 Scrapy
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.
Who is this course for?
- IT students
- Job seekers
- IT professionals
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.