# ISS and Tiangong passes over New York

**Use case:** 

Passes of the ISS and China's Tiangong space station over New York for the next 72 hours, with where to look, naked-eye visibility and a cloud forecast.

## Input

```json
{
  "mode": "passes",
  "locations": [
    {
      "lat": 40.7128,
      "lon": -74.006,
      "alt_m": 0,
      "label": "New York"
    }
  ],
  "filter": "norad:25544,48274",
  "hours": 72,
  "minElevation": 10,
  "visibleOnly": false,
  "includeWeather": true,
  "radiusDeg": 90
}
```

## Output

```json
{
  "location_label": {
    "label": "Location",
    "format": "text"
  },
  "name": {
    "label": "Satellite",
    "format": "text"
  },
  "norad_id": {
    "label": "NORAD",
    "format": "number"
  },
  "rise_time": {
    "label": "Rise (UTC)",
    "format": "date"
  },
  "rise_compass": {
    "label": "Rises in",
    "format": "text"
  },
  "peak_time": {
    "label": "Peak (UTC)",
    "format": "date"
  },
  "peak_elevation": {
    "label": "Max elevation",
    "format": "number"
  },
  "peak_compass": {
    "label": "Peak direction",
    "format": "text"
  },
  "set_time": {
    "label": "Set (UTC)",
    "format": "date"
  },
  "set_compass": {
    "label": "Sets in",
    "format": "text"
  },
  "duration_s": {
    "label": "Seconds",
    "format": "number"
  },
  "visible": {
    "label": "Visible",
    "format": "boolean"
  },
  "visible_from": {
    "label": "Visible from",
    "format": "date"
  },
  "visible_to": {
    "label": "Visible to",
    "format": "date"
  },
  "naked_eye_viewable": {
    "label": "Worth looking",
    "format": "boolean"
  },
  "sky.verdict": {
    "label": "Sky",
    "format": "text"
  },
  "sky.reason": {
    "label": "Sky detail",
    "format": "text"
  },
  "sky.cloud_cover_low_pct": {
    "label": "Low cloud %",
    "format": "number"
  },
  "sky.cloud_cover_mid_pct": {
    "label": "Mid cloud %",
    "format": "number"
  },
  "sky.cloud_cover_high_pct": {
    "label": "High cloud %",
    "format": "number"
  },
  "sky.visibility_m": {
    "label": "Visibility (m)",
    "format": "number"
  },
  "sky.precipitation_probability_pct": {
    "label": "Rain chance %",
    "format": "number"
  },
  "sky_note": {
    "label": "Sky note",
    "format": "text"
  },
  "magnitude": {
    "label": "Magnitude",
    "format": "number"
  },
  "sunlit": {
    "label": "Sunlit",
    "format": "boolean"
  },
  "observer_dark": {
    "label": "Dark sky",
    "format": "boolean"
  },
  "data_age_hours": {
    "label": "Elements age (h)",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The ISS and Satellite Pass Predictions for Any Location Actor is ready to run with the inputs already set for "ISS and Tiangong passes over New York". [Sign up or log in](https://console.apify.com/create-task-from-example/lmz9tfcMF30KOlshd) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "ISS and Tiangong passes over New York" task

The ISS and Satellite Pass Predictions for Any Location Actor will start running based on the input automatically. You can also change all the input fields, like mode, locations, and more, to match your specific use case.

### 3. Receive the "ISS and Tiangong passes over New York" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as location, satellite, NORAD, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "ISS and Tiangong passes over New York" task via API](https://apify.com/arjs1000/satellite-passes-overhead.md).

## About this Actor

This example demonstrates how to use [ISS and Satellite Pass Predictions for Any Location](https://apify.com/arjs1000/satellite-passes-overhead.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arjs1000/satellite-passes-overhead.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arjs1000/satellite-passes-overhead.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).