Exploring a JSON file with Python using regular expressions or the Whoosh library

I have extracted data from over 5 e-commerce websites and stored it in a large JSON file as a collection of dictionaries, such as:

{
  "url": "https://www.amazon.com/category/product_1", 
  "price": 539, 
  "product_code": ["x123"], 
  "page_title": "Smartphone Samsung Galaxy S7", 
  "h1": "Smartphone Samsung Galaxy S7, 2.3GHz / 1.6GHz,QHD Super AMOLED"
 }

This JSON file contains more than 11k dictionaries.

Since the data is standardized, I am looking for the best way to search through it efficiently.

Would it be better to utilize Regex or index the JSON file using a tool like Whoosh?

For instance, if a user searches for 'galaxy s7 case', I want to retrieve the relevant information. Thank you!

pythonjsonwhoosh

Answer №1

One thing to note: JSON "objects" are not the same as "dictionaries." They will become dictionaries when you use json.loads(...).

Regarding your query - why not give it a try! Trim down the list to 10,000 items and then test each method, whether it's regex, list comprehension, Whoosh, haystack, etc., using the timeit module to measure their efficiency.

Considering that you're conducting a search on a sizable number of products, it may be worth exploring a search engine option. Some effective ones I've worked with include solr and xapian. However, if you already have experience with Whoosh, sticking with it might indeed be the most suitable choice.

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