Dynamic Webscraper for supercook.com

Job ID: 38412312

Budget: $25 – $40 USD

Looking for a specialist with experience in writting webscrappers.

I need a webscrapper written in Python 3.12 (PyQt6) with the following functions.

1) Upload a JSON File (see the file)
2) This file needs to be parsed

SEE attachment
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For breakfast, only the following ingredients from the category can be used
The same is for Lunch and Dinner

The program should combine ALL possible combinations and scrap the recipes from supercook.com

Like: Spinach (for example 3 products with only spinach as ingredient)
Spinach + cooking butter = 5 products with only spinach and cooking butter).

There should be an option to upload a new (similar) JSON to scrap additional receipts that also should be stored in the database

The data should be saved in a SQLLite3 database
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1 recipe name
2 Ingredients used
3 Amount (grams) per ingredient
3 How to prepare

4 Nutrition information (Calories / fat / carbs / protein/ sodium (mg) / fiber / saturated fat / sugar)
5 Image url of the recipe
6 URL to the recipe

It should be possible to save as txt , csv , pdf the receipt or multiple receipts

Price for this scrapper generator is $ 40
This will be paid as soon as a real demo (screen recording) can be shown.

Using AI to build the project or check your code is fine as long as your code is working correctly and is build properly with different modules