Call the hosted Actor logiover/app-store-data-api from Python with the official apify-client.
pip install apify-clientfrom apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "search",
"query": "meditation",
"country": "us",
"maxResults": 50,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["title"], "—", item.get("score"))from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "app",
"appIds": ["com.spotify.client", "com.google.ios.youtube"],
"country": "us",
})
for app in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f'{app["title"]}: {app.get("score")}★ ({app.get("reviews")} reviews)')import pandas as pd
from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "reviews",
"id": 324684580,
"country": "us",
"reviewSort": "RECENT",
"maxResults": 500,
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
df = pd.DataFrame(items)
print(df[["userName", "score", "title", "date"]].head())
print("Average stars:", df["score"].mean())from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "suggest",
"query": "budget",
"country": "us",
})
for kw in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f'#{kw.get("position")} {kw.get("term")}')from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "privacy",
"appId": "com.spotify.client",
"country": "us",
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
print(row.get("privacyTypes"))from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/app-store-data-api").call(run_input={
"mode": "list", "collection": "TOP_FREE_IOS", "country": "us", "maxResults": 100,
})
csv_bytes = client.dataset(run["defaultDatasetId"]).download_items(item_format="csv")
with open("top_free_us.csv", "wb") as f:
f.write(csv_bytes)See also: cli.md · api-curl.md · javascript.md