App downloads API

Android app install estimates as a time series keyed by bundle ID. Track download velocity, cumulative installs, and growth for any Google Play app through a single POST endpoint.

Mobile market research usually means signing into a dashboard, exporting a CSV, and reconciling bundle IDs by hand. The app downloads source returns install estimates in the same JSON shape as every other Trends MCP source. The keyword must be the Android bundle ID.

Endpoint

POST https://api.trendsmcp.ai/api
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Find the bundle ID

Every Google Play listing exposes its package name in the URL:

https://play.google.com/store/apps/details?id=com.openai.chatgpt
                                              ^^^^^^^^^^^^^^^^^^
                                              bundle ID (keyword)

Common mistakes: passing "ChatGPT" or "OpenAI" as the keyword returns 404. The bundle ID is case-sensitive and must match exactly.

Get a time series

Request install history for any Android app.

{
  "source": "app downloads",
  "keyword": "com.openai.chatgpt"
}

Response excerpt (Trends MCP API snapshot, June 19 2026):

[
  {
    "date": "2026-06-18",
    "value": 6.4,
    "volume": 4625228,
    "volume_cumulative": 1333414107,
    "keyword": "com.openai.chatgpt",
    "datatype": "app downloads"
  },
  {
    "date": "2026-06-16",
    "value": 10.0,
    "volume": 7270825,
    "volume_cumulative": 1328788879,
    "keyword": "com.openai.chatgpt",
    "datatype": "app downloads"
  }
]

Three fields matter here. volume is estimated installs for that date. volume_cumulative is total installs to date (roughly 1.33 billion for ChatGPT on this snapshot). value normalizes install velocity to 0-100 for cross-app comparison.

Data arrives on roughly two-day intervals, not strict weekly cadence like Google Search.

Measure growth

Track whether install velocity is accelerating or cooling.

{
  "source": "app downloads",
  "keyword": "com.openai.chatgpt",
  "percent_growth": ["12M", "3M"]
}

Response excerpt (June 19 2026):

{
  "search_term": "com.openai.chatgpt",
  "data_source": "app downloads",
  "results": [
    {
      "period": "12M",
      "growth": -1.54,
      "direction": "decrease",
      "volume_available": true,
      "recent_volume": 4625228,
      "baseline_volume": 4704102,
      "volume_growth": -1.68
    }
  ],
  "metadata": {
    "total_data_points": 169,
    "calculations_completed": 2,
    "all_successful": true
  }
}

ChatGPT's install velocity index dipped slightly year over year on this reading. That flatline at the top of the market is a different signal than a startup doubling installs from a small base. Context from volume_cumulative helps separate the two.

Custom date comparison for launch or feature release windows:

{
  "source": "app downloads",
  "keyword": "com.duolingo",
  "percent_growth": [
    { "name": "post-campaign", "recent": "2026-06-01", "baseline": "2026-03-01" }
  ]
}

Preset periods: 7D 14D 30D 1M 2M 3M 6M 9M 12M 1Y 18M 24M 2Y 36M 3Y 48M 60M 5Y MTD QTD YTD

Response fields

Field Type Meaning
value number Normalized install velocity, 0-100
volume number Estimated installs for the date window
volume_cumulative number Total estimated installs to date
datatype string Always "app downloads" for this source

Zero-volume days appear when AppBrain reports no fresh estimate. A string of zeros followed by a spike usually reflects upstream data gaps, not a real drop to zero installs.

Cross-source comparison

Install trends diverge from web search interest in instructive ways. A consumer app can show flat Google Search volume while installs climb on paid acquisition. Pull both sources in separate calls:

{ "source": "app downloads", "keyword": "com.duolingo" }
{ "source": "google search", "keyword": "duolingo" }

Compare the curves. Divergence between install velocity and search interest often flags paid growth or retention problems that search data alone would miss. The app download trends page covers MCP setup; this page documents the REST contract.

Get live Google Play charts

No bundle ID needed for chart rankings:

{
  "mode": "top_trends",
  "type": "Google Play",
  "limit": 25
}

Use chart data to discover bundle IDs, then pull install history for specific apps.

Code examples

Python

import requests

BUNDLE_ID = "com.openai.chatgpt"

res = requests.post(
    "https://api.trendsmcp.ai/api",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"source": "app downloads", "keyword": BUNDLE_ID}
)
series = res.json()
latest = series[-1]
print(f"Installs: {latest['volume']:,}, Cumulative: {latest['volume_cumulative']:,}")

JavaScript

const res = await fetch("https://api.trendsmcp.ai/api", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    source: "app downloads",
    keyword: "com.openai.chatgpt",
    percent_growth: ["12M"]
  })
});
const data = await res.json();

cURL

curl -X POST https://api.trendsmcp.ai/api \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"source": "app downloads", "keyword": "com.duolingo"}'

get_trends

Chart daily install velocity and cumulative downloads for any Android app by bundle ID.

get_trends(keyword='com.openai.chatgpt', source='app downloads')

get_growth

Measure install velocity changes over 3M, 12M, or custom date windows.

get_growth(keyword='com.openai.chatgpt', source='app downloads', percent_growth=['12M', '3M'])

Common questions

The Android bundle ID, not the display name. For ChatGPT use com.openai.chatgpt. For Duolingo use com.duolingo. Find it in the Google Play URL: play.google.com/store/apps/details?id=THIS_PART.
No. Data comes from Google Play via AppBrain estimates. iOS coverage is on the roadmap. App Store chart rankings are available separately via the Google Play and App Store Top Free feeds in get_top_trends.
value is a normalized 0-100 index of install velocity. volume is the estimated installs for that date window. volume_cumulative is total estimated installs to date for the app on Google Play.
Those platforms offer deep mobile analytics dashboards with paid contracts. Trends MCP returns the same install trajectory in a lightweight JSON shape consistent with Google Search, npm, and other sources, suitable for API pipelines and AI agent workflows.