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.
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):
pprint.pprint(app)
loop = asyncio.get_event_loop()
loop.run_until_complete(main())Documentation is not available separately yet, but the code is relatively
simple and you can look in the scraper.py 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.