App Store Trends API

App Store and Google Play chart API

App Store and Google Play demand via the Trends API. Android download history plus live iOS and Play charts.

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

pip install trendsapi-app-store
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

from trendsapi_app_store import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "app downloads". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

source is lowercase (app downloads). type is exact (App Store Top Free). Mixing them is a 400.

from trendsapi_app_store import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("com.openai.chatgpt")
print(series[-1].date, series[-1].value)

growth = client.get_growth("com.openai.chatgpt", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

points = client.get_time_series("com.openai.chatgpt")

Each point:

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

g = client.get_growth("com.openai.chatgpt", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

hot = client.get_live(limit=10)

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

import asyncio
from trendsapi_app_store import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("com.openai.chatgpt"),
        c.get_time_series("com.openai.chatgpt", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

from dataclasses import asdict
import pandas as pd
from trendsapi_app_store import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("com.openai.chatgpt"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Call (curl)

curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"app downloads","keyword":"com.openai.chatgpt"}'

Source notes

• chatgpt as keyword is 404. Use the Play Store id.
• app downloads is Android history. iOS lists are live feeds only.
• Live type values: App Store Top Free, App Store Top Paid, Google Play.

Errors

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/app-store-trends.

License

MIT. See LICENSE.