How To Use SQLAlchemy In Python

How To Use SQLAlchemy In Python

SQLAlchemy is an object-relational mapping tool, or ORM, that allows developers to work with databases in a more Pythonic way. Tools like SQLAlchemy let you work with Python or even a different language instead of SQL to query and manipulate the data in your databases. Python has many ORM libraries you can use with SQLAlchemy being one of the most popular ones for relational databases. SQLAlchemy also works with many web frameworks including flask and databases, such as SQLite, MySQL, and Postgres.…

How To Use A Database In Python

How To Use A Database In Python

In order to access and use a database in Python, you first need to decide which type of database to use and get the associated Python module. These modules might have different syntax for how to interact with them. Because of this Python offers a common specification for these systems to follow so that programmers can manage their own databases. This is known as the Python Database API.…

How To Use Scrapy Item Loaders

How To Use Scrapy Item Loaders

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 but useful functions, you can strip unwanted characters, clean up whitespace characters, or otherwise modify the data being collected however you see fit.…

How To Use Scrapy Items

How To Use Scrapy Items

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 you wish. Items provide the ability to better structure the data you scrape, as well as massaging the data with Item Loaders rather than directly in the default Spider parse() method.…

How To Follow Links With Python Scrapy

How To Follow Links With Python Scrapy

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 get the value contained in the href attribute of the anchor element we need.…

How To Create A Python Scrapy Project

How To Create A Python Scrapy Project

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 created. The process is similar for all Scrapy projects, and this is a good exercise to practice web scraping using Scrapy.…

Python Scrapy Shell Tutorial

Python Scrapy Shell Tutorial

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 can be launched from the terminal so that you can test all of the various XPath or CSS selectors that you want to use in your Scrapy project.…