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A lightweight async iTunes App Store scraper based on

Project description

iTunes App Store Scraper

This defines a lightweight Python class that can be used to scrape app information from the iTunes App Store. It defines a couple of methods that can be used to get relevant app IDs given a set of parameters, and a couple of methods to then scrape data about these app IDs.

Much of this has been adapted from app-store-scraper, a nodeJS-based scraper that does similar things. But this scraper uses Python.

Getting started

The following scrapes app details about all apps similar to the first result for the 'fortnite' search query:

from itunes_app_scraper.scraper import AppStoreScraper
import asyncio
import pprint

async def main():
    scraper = AppStoreScraper()
    results = await scraper.get_app_ids_for_query("fortnite")
    # similar = await scraper.get_similar_app_ids_for_app(results[0])

    async for app in scraper.get_multiple_app_details(results):

loop = asyncio.get_event_loop()

Documentation is not available separately yet, but the code is relatively simple and you can look in the file to see what methods are available and what their parameters are.


This scraper was developed by the Digital Methods Initiative, and is distributed under the MIT license. See LICENSE for details.

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async-itunes-app-scraper-dmi-0.9.5.tar.gz (5.9 kB view hashes)

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