# Weather Forecast API (`gentle_cloud/weather-forecast-api`) Actor Get current weather conditions and 7-day forecasts for any location worldwide using the free Open-Meteo API. Supports city names and coordinates. - **URL**: https://apify.com/gentle\_cloud/weather-forecast-api.md - **Developed by:** [Monkey Coder](https://apify.com/gentle_cloud) (community) - **Categories:** Travel, Other - **Stats:** 37 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## 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 ## Weather Forecast API ### What it does Fetches **current weather conditions** and **multi-day forecasts** for any location worldwide using the free [Open-Meteo API](https://open-meteo.com/). No API key required. ### Features - **Current conditions**: Temperature, humidity, wind speed/direction/gusts, pressure, cloud cover, precipitation, weather description - **Daily forecasts**: Up to 16 days with high/low temps, precipitation probability, UV index, sunrise/sunset, wind data - **Flexible input**: City names (auto-geocoded) or latitude/longitude coordinates - **Multiple locations**: Process many locations in a single run - **Temperature units**: Celsius or Fahrenheit output - **WMO weather codes**: Decoded into human-readable descriptions ### How to use 1. **Set locations**: Enter city names or coordinates separated by semicolons - City names: `New York; Tokyo; London` - Coordinates: `37.7749,-122.4194; 35.6762,139.6503` - Mixed: `New York; 48.8566,2.3522; Sydney` 2. **Choose forecast length**: Select 1-16 days of forecast data 3. **Pick temperature unit**: Celsius (default) or Fahrenheit 4. **Run the Actor** and download results from the dataset ### Input example ```json { "locations": "New York; Tokyo; London; Paris; Sydney", "forecast_days": 7, "temperature_unit": "celsius" } ```` ### Output example ```json { "location": "New York, New York, United States", "latitude": 40.7143, "longitude": -74.006, "elevation_m": 10.0, "timezone": "America/New_York", "timezone_abbreviation": "EDT", "current_temperature_c": 22.5, "current_apparent_temperature_c": 23.1, "current_humidity_pct": 65, "current_weather_code": 1, "current_weather_description": "Mainly clear", "current_is_day": true, "current_precipitation_mm": 0.0, "current_cloud_cover_pct": 25, "current_pressure_msl_hpa": 1015.2, "current_wind_speed_kmh": 12.3, "current_wind_direction_deg": 220, "current_wind_gusts_kmh": 25.1, "forecast_days": [ { "date": "2025-03-18", "weather_code": 2, "weather_description": "Partly cloudy", "temp_max_c": 24.5, "temp_min_c": 15.2, "sunrise": "2025-03-18T07:05", "sunset": "2025-03-18T19:12", "uv_index_max": 6.5, "precipitation_sum_mm": 0.0, "precipitation_probability_max": 10, "wind_speed_max_kmh": 18.5, "wind_gusts_max_kmh": 35.0, "wind_direction_dominant": 210 } ], "forecast_count": 7, "fetched_at": "2025-03-18T10:30:00.000000" } ``` ### Notes - **Free API**: Open-Meteo is completely free for non-commercial use. No API key needed. - **Rate limits**: The API is generous but avoid excessive concurrent requests. The Actor processes locations sequentially. - **Geocoding**: City names are automatically resolved to coordinates using Open-Meteo's geocoding service. If a city name is ambiguous, the most relevant result is used. - **Data freshness**: Weather data is updated every 15 minutes by Open-Meteo. - **Coordinates**: Use decimal degrees format (e.g., `37.7749,-122.4194`). Latitude range: -90 to 90. Longitude range: -180 to 180. # Actor input Schema ## `locations` (type: `string`): Locations to fetch weather for, separated by semicolons. Supports city names (e.g., 'New York') or coordinates (e.g., '37.7749,-122.4194'). ## `forecast_days` (type: `integer`): Number of forecast days to include (1-16). ## `temperature_unit` (type: `string`): Temperature unit for output values. ## Actor input object example ```json { "locations": "New York; Tokyo; London; Paris; Sydney", "forecast_days": 7, "temperature_unit": "celsius" } ``` # 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 = { "locations": "New York; Tokyo; London; Paris; Sydney", "forecast_days": 7, "temperature_unit": "celsius" }; // Run the Actor and wait for it to finish const run = await client.actor("gentle_cloud/weather-forecast-api").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 = { "locations": "New York; Tokyo; London; Paris; Sydney", "forecast_days": 7, "temperature_unit": "celsius", } # Run the Actor and wait for it to finish run = client.actor("gentle_cloud/weather-forecast-api").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 '{ "locations": "New York; Tokyo; London; Paris; Sydney", "forecast_days": 7, "temperature_unit": "celsius" }' | apify call gentle_cloud/weather-forecast-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gentle_cloud/weather-forecast-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Weather Forecast API", "description": "Get current weather conditions and 7-day forecasts for any location worldwide using the free Open-Meteo API. Supports city names and coordinates.", "version": "0.0", "x-build-id": "kfz0YZpqRlNKfWoxw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gentle_cloud~weather-forecast-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gentle_cloud-weather-forecast-api", "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/gentle_cloud~weather-forecast-api/runs": { "post": { "operationId": "runs-sync-gentle_cloud-weather-forecast-api", "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/gentle_cloud~weather-forecast-api/run-sync": { "post": { "operationId": "run-sync-gentle_cloud-weather-forecast-api", "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": { "locations": { "title": "Locations", "type": "string", "description": "Locations to fetch weather for, separated by semicolons. Supports city names (e.g., 'New York') or coordinates (e.g., '37.7749,-122.4194')." }, "forecast_days": { "title": "Forecast Days", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of forecast days to include (1-16)." }, "temperature_unit": { "title": "Temperature Unit", "enum": [ "celsius", "fahrenheit" ], "type": "string", "description": "Temperature unit for output values." } } }, "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 } } } } } } } } } } ```