In this web scraping guide, we'll explain how to create a tool for tracking competitor prices using Python. It will scrape specific products from different providers, compare their prices and generate insights.
Modern web scraping often involved a lot of JSON parsing through hidden web data scraping or backend API scraping in particular. There are several ways to parse JSON data in Python.
JMESPath is a popular JSON query language and library available in many languages:
JSONPath is another popular JSON query language and library available in many languages:
Both of these tools are a great way to parse JSON datasets within Python. As for which one is better - generally, JSONPath is more powerful by offering recursive selectors (e.g.
$..book will select key
book anywhere in the dataset) while Jmespath has a more intuitive syntax and better data reshaping capabilities (e.g. renaming keys and flattening nested data structures).