# N2yo Satellite Pass Scraper (`romy/n2yo-satellite-pass-scraper`) Actor N2YO Satellite Pass Scraper is a fast and lightweight Apify actor that fetches satellite pass predictions from N2YO.com for any location on Earth. Given a list of NORAD IDs and an observer location, it returns upcoming passes with timing, elevation, azimuth, duration, and visibility data - **URL**: https://apify.com/romy/n2yo-satellite-pass-scraper.md - **Developed by:** [Romy](https://apify.com/romy) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🛰️ N2YO Satellite Pass Scraper N2YO Satellite Pass Scraper is a fast and lightweight Apify actor that fetches **satellite pass predictions** from [N2YO.com](https://www.n2yo.com) for any location on Earth. Given a list of NORAD IDs and an observer location, it returns upcoming passes with timing, elevation, azimuth, duration, and visibility data — no API key required. ### 🎯 Features - 📡 **Multi-Satellite Support** – Fetch passes for multiple satellites in one run. - 🌍 **Any Location** – Specify observer lat/lng/altitude anywhere on Earth. - 📅 **Configurable Forecast** – Predict passes 1–10 days ahead. - 🔭 **Elevation Filter** – Skip passes below your minimum elevation threshold. - 👁️ **Visibility Flag** – Know whether the pass is visible to the naked eye. - 🧩 **Clean JSON Output** – Structured results ready for analysis or scheduling. ### 🚀 How to Use 1. Run the actor on Apify Console or via API. 2. Provide input with the following fields: - `norad_ids`: List of NORAD catalog IDs (e.g. `[25544]` for ISS) - `lat`: Observer latitude in decimal degrees (e.g. `-6.2` for Jakarta) - `lng`: Observer longitude in decimal degrees (e.g. `106.8` for Jakarta) - `alt`: Observer altitude in meters (default: `0`) - `days`: Days ahead to predict (1–10, default: `5`) - `min_elevation`: Minimum elevation in degrees to include a pass (default: `10`) 3. Wait for execution to complete and download results in JSON format. ### 📌 Example Input ```json { "norad_ids": [25544, 44713], "lat": -6.2, "lng": 106.8, "alt": 0, "days": 5, "min_elevation": 10 } ```` > **NORAD ID references:** ISS = `25544`, Hubble = `20580`, Starlink examples = `44713`, `44714` ### 📦 Example Output ```json { "norad_id": 25544, "satellite_name": "ISS (ZARYA)", "pass_start_utc": "2026-06-10T01:23:00Z", "pass_start_az": "SW", "max_elevation_deg": 47, "max_elevation_az": "S", "pass_end_utc": "2026-06-10T01:29:12Z", "pass_end_az": "NE", "duration_sec": 372, "visible": true } ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### 📊 Output Fields | Field | Description | |---|---| | `norad_id` | NORAD catalog number of the satellite | | `satellite_name` | Name of the satellite | | `pass_start_utc` | Pass start time in UTC (ISO 8601) | | `pass_start_az` | Compass direction at pass start | | `max_elevation_deg` | Maximum elevation angle in degrees | | `max_elevation_az` | Compass direction at maximum elevation | | `pass_end_utc` | Pass end time in UTC (ISO 8601) | | `pass_end_az` | Compass direction at pass end | | `duration_sec` | Duration of the pass in seconds | | `visible` | `true` if visible to the naked eye | ### 💰 Pricing This actor uses **Pay per result** pricing. You are only charged for the passes returned — no data, no charge. ### 📝 Disclaimer This actor scrapes publicly accessible data from N2YO.com. You are responsible for ensuring your usage complies with N2YO's terms of service. Pass predictions are estimates and may vary slightly from actual observations. ### 🛠️ Support If you encounter any issues or have questions, please open a ticket via the Issues tab in Apify Console. # Actor input Schema ## `norad_ids` (type: `array`): List of NORAD catalog IDs to scrape passes for (e.g. \[25544] for ISS, \[44713] for Starlink). ## `lat` (type: `number`): Observer latitude in decimal degrees (e.g. -6.2 for Jakarta). ## `lng` (type: `number`): Observer longitude in decimal degrees (e.g. 106.8 for Jakarta). ## `alt` (type: `integer`): Observer altitude above sea level in meters. ## `days` (type: `integer`): How many days ahead to predict passes (1-10). ## `min_elevation` (type: `integer`): Minimum elevation angle in degrees to include a pass (0-90). ## Actor input object example ```json { "norad_ids": [ 25544 ], "lat": -6.2, "lng": 106.8, "alt": 0, "days": 5, "min_elevation": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "lat": -6.2, "lng": 106.8 }; // Run the Actor and wait for it to finish const run = await client.actor("romy/n2yo-satellite-pass-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "lat": -6.2, "lng": 106.8, } # Run the Actor and wait for it to finish run = client.actor("romy/n2yo-satellite-pass-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "lat": -6.2, "lng": 106.8 }' | apify call romy/n2yo-satellite-pass-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=romy/n2yo-satellite-pass-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "N2yo Satellite Pass Scraper", "description": "N2YO Satellite Pass Scraper is a fast and lightweight Apify actor that fetches satellite pass predictions from N2YO.com for any location on Earth. Given a list of NORAD IDs and an observer location, it returns upcoming passes with timing, elevation, azimuth, duration, and visibility data", "version": "0.0", "x-build-id": "nXh8G7Y465iSOuklV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/romy~n2yo-satellite-pass-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-romy-n2yo-satellite-pass-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/romy~n2yo-satellite-pass-scraper/runs": { "post": { "operationId": "runs-sync-romy-n2yo-satellite-pass-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/romy~n2yo-satellite-pass-scraper/run-sync": { "post": { "operationId": "run-sync-romy-n2yo-satellite-pass-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "norad_ids", "lat", "lng" ], "properties": { "norad_ids": { "title": "NORAD IDs", "type": "array", "description": "List of NORAD catalog IDs to scrape passes for (e.g. [25544] for ISS, [44713] for Starlink).", "default": [ 25544 ] }, "lat": { "title": "Observer Latitude", "minimum": -90, "maximum": 90, "type": "number", "description": "Observer latitude in decimal degrees (e.g. -6.2 for Jakarta)." }, "lng": { "title": "Observer Longitude", "minimum": -180, "maximum": 180, "type": "number", "description": "Observer longitude in decimal degrees (e.g. 106.8 for Jakarta)." }, "alt": { "title": "Observer Altitude (meters)", "minimum": 0, "type": "integer", "description": "Observer altitude above sea level in meters.", "default": 0 }, "days": { "title": "Days Ahead", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many days ahead to predict passes (1-10).", "default": 5 }, "min_elevation": { "title": "Minimum Elevation (degrees)", "minimum": 0, "maximum": 90, "type": "integer", "description": "Minimum elevation angle in degrees to include a pass (0-90).", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```