Validation with JSON Schema

Up to this point, we have been scraping data from various websites without verifying its accuracy. Data is not always complete and error-free; there will often be missing fields or incorrect values. Given that we are developing an automated script to scrape millions of records, it is crucial to implement a validation mechanism to ensure the quality of the scraped data.

The JSON Schema library in Python

JSON Schema is another powerful tool that Python provides. It is an implementation of JSON Schema that allows us to check if our JSON data is structured correctly. Since we often use dictionaries to organize data in our web scraping scripts, JSONSchema can come in handy to ensure our data is in the correct format before we do anything else.

It can also be used with other libraries such as Selenium or Beautiful Soup. Scrapy items pipeline is the perfect fit for this situation. With the items pipeline, we can set up a process to validate each scraped data before moving on to further processing.