# Astonomical Data (Sunrise, sunset, twilight, etc) (`accelerationengg/sun-only`) Actor The Sun Data Scraper collects daily astronomical data for a given city. It gives sunrise, sunset, day length, solar noon, and various twilight times (civil, nautical, astronomical) which are ideal for solar planning, photography, research, and integration with various platfroms - **URL**: https://apify.com/accelerationengg/sun-only.md - **Developed by:** [Acceleration](https://apify.com/accelerationengg) (community) - **Categories:** Travel, Other - **Stats:** 162 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Sun Scraper (TimeAndDate) ### Overview **Sun Scraper** scrapes **sunrise, sunset, day length, twilight phases, and solar data** from **timeanddate.com** for a given city, month, and year. The actor supports **any month of any year** and enriches the data with **latitude and longitude** **4 Mar: As a protest to Apify wrongfully disqualifying our Actor, we are making it totally free.** --- ### Features * Scrapes **daily sun data** for a full month * Supports **any year and any month** * extracts **city & country** from URL * Fetches **latitude & longitude** * Collects **sunrise, sunset, twilight phases & solar noon** * Supports **bulk URL input** --- ### Input Perfect! We can update the **Input section** of the Sun Scraper README to clearly explain **both ways users can provide multiple URLs**, just like your Weather Scraper. Here’s the revised section: --- ### Input Methods The Sun Scraper supports **two ways** to provide URLs: --- #### Form Input (Default) Users can manually add one or more **TimeAndDate Sun URLs** in the **Start URLs** field. **Example:** ```` https://www.timeanddate.com/sun/algeria/constantine?month=3\&year=2026 https://www.timeanddate.com/sun/uk/london?month=1\&year=2025 ``` * Suitable for a **small number of URLs**. * Each URL must follow the format: ``` https://www.timeanddate.com/sun/{country}/{city}?month={MM}\&year={YYYY} ``` --- #### Text File Upload (Bulk URLs) For scraping **multiple cities, months, or years**, users can either upload a **text file** containing the URLs or can add bulk urls too. * Each URL must be on a **new line**. * Only **valid TimeAndDate Sun URLs** are supported. **Example `urls.txt` file:** ``` https://www.timeanddate.com/sun/germany/berlin?month=1\&year=2026 https://www.timeanddate.com/sun/uk/london?month=1\&year=2026 https://www.timeanddate.com/sun/india/new-delhi?month=1\&year=2026 ```` * Ideal for **bulk scraping** or **automated workflows**. * Each URL will produce **one month of daily sun data** in the output dataset. --- ### Output Each dataset item represents **one day** of sun-related data for the selected month. #### Example Output (Single Record) ```json { "date": "2026-01-01", "city": "berlin", "country": "germany", "latitude": 52.52437, "longitude": 13.41053, "sunrise": "8:17 am ↑ (129°)", "sunset": "4:03 pm ↑ (232°)", "day_length": "7:45:45", "day_diff": "+1:09", "astronomical_twilight_start": "6:10 am", "astronomical_twilight_end": "6:09 pm", "nautical_twilight_start": "6:51 am", "nautical_twilight_end": "5:28 pm", "civil_twilight_start": "7:36 am", "civil_twilight_end": "4:44 pm", "solar_noon": "12:10 pm (14.6°)", "distance_mil_km": "91.405" } ```` *** ### Sample Output Table (Rows) | Date | City | Country | Latitude | Longitude | Sunrise | Sunset | Day Length | Day Diff | Astronomical Twilight Start | Astronomical Twilight End | Nautical Twilight Start | Nautical Twilight End | Civil Twilight Start | Civil Twilight End | Solar Noon | Distance (mil km) | | ---------- | ------ | ------- | -------- | --------- | ---------------- | ---------------- | ---------- | -------- | --------------------------- | ------------------------- | ----------------------- | --------------------- | -------------------- | ------------------ | ---------------- | ----------------- | | 2026-01-01 | Berlin | Germany | 52.52437 | 13.41053 | 8:17 am ↑ (129°) | 4:03 pm ↑ (232°) | 7:45:45 | +1:09 | 6:10 am | 6:09 pm | 6:51 am | 5:28 pm | 7:36 am | 4:44 pm | 12:10 pm (14.6°) | 91.405 | | 2026-01-02 | Berlin | Germany | 52.52437 | 13.41053 | 8:17 am ↑ (128°) | 4:04 pm ↑ (232°) | 7:47:01 | +1:15 | 6:10 am | 6:10 pm | 6:51 am | 5:29 pm | 7:35 am | 4:45 pm | 12:10 pm (14.7°) | 91.404 | *** ### Use Cases - Solar & daylight analysis - Renewable energy planning - Astronomy & research projects - Time-based analytics - Education & visualization tools *** # Actor input Schema ## `startUrls` (type: `array`): Enter the URLs to scrape. For example: https://www.timeanddate.com/sun/algeria/constantine?month=3\&year=2026 https://www.timeanddate.com/weather/usa/austin/ext ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.timeanddate.com/sun/algeria/constantine?month=3&year=2026" } ], "maxRequestsPerCrawl": 100 } ``` # Actor output Schema ## `overview` (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 = { "startUrls": [ { "url": "https://www.timeanddate.com/sun/algeria/constantine?month=3&year=2026" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("accelerationengg/sun-only").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 = { "startUrls": [{ "url": "https://www.timeanddate.com/sun/algeria/constantine?month=3&year=2026" }] } # Run the Actor and wait for it to finish run = client.actor("accelerationengg/sun-only").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 '{ "startUrls": [ { "url": "https://www.timeanddate.com/sun/algeria/constantine?month=3&year=2026" } ] }' | apify call accelerationengg/sun-only --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=accelerationengg/sun-only", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Astonomical Data (Sunrise, sunset, twilight, etc)", "description": "The Sun Data Scraper collects daily astronomical data for a given city. It gives sunrise, sunset, day length, solar noon, and various twilight times (civil, nautical, astronomical) which are ideal for solar planning, photography, research, and integration with various platfroms", "version": "0.0", "x-build-id": "r0I5UCbxlkV44Gk2M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/accelerationengg~sun-only/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-accelerationengg-sun-only", "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/accelerationengg~sun-only/runs": { "post": { "operationId": "runs-sync-accelerationengg-sun-only", "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/accelerationengg~sun-only/run-sync": { "post": { "operationId": "run-sync-accelerationengg-sun-only", "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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Enter the URLs to scrape. For example:\nhttps://www.timeanddate.com/sun/algeria/constantine?month=3&year=2026\nhttps://www.timeanddate.com/weather/usa/austin/ext", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```