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Explore how Scrapy works to crawl web pages and extract links, text, images, and titles, and learn to install, configure a spider, and run crawls.
Extract text from craigslist ads by building a Scrapy spider, setting up an seo pets project, and using XPath to pull each pet name from listing rows.
Learn to extract quotes, authors, and tags using xpath and css selectors in scrapy, create and run a new spider, and validate fresh results.
Explore how to create a scrapy project, build a two-page spider, and parse item data with xpath to extract names and urls, exporting to json or csv.
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.