The Python Scrapy framework has a concept known as Item Loaders. These Item Loaders are used to load data into Scrapy Items once they have been defined. During this process, we can apply input processors and output processors which clean up the extracted data in various ways. With an ItemLoader class and a few small […]

An Item in Scrapy is a logical grouping of extracted data points from a website that represents a real-world thing. You do not have to make use of Scrapy Items right away, as we saw in earlier Scrapy tutorials. You can simply yield page elements as they are extracted and do with the data as […]

Following links during data extraction using Python Scrapy is pretty straightforward. The first thing we need to do is find the navigation links on the page. Many times this is a link containing the text ‘Next’, but it may not always be. Then we need to construct either an XPath or CSS selector query to […]

To create a project in Scrapy, you first want to make sure you have a good introduction to the framework. This will ensure that Scrapy is installed and ready to go. Once you are ready to go, we’ll look at how to create a new Python Scrapy project and what to do once it is […]

Fetching and selecting data from websites when you’re scraping with Python Scrapy can be tedious. There is a lot of updating the code, running it, and checking to see if you’re getting the results you expect. Scrapy provides a way to make this process easier, and it is called the Scrapy Shell. The Scrapy shell […]

The Python Scrapy library is a very popular software package for web scraping. Web scraping is the process of programmatically extracting key data from online web pages using the software. Using this technique, it’s possible to scrape data from a single page or crawl across multiple pages, scraping data from each one as you go. […]