# Global Weather Forecast (Open-Meteo) (`fit_melon/global-weather-forecast-open-meteo`) Actor Free daily weather forecast for any city or GPS coordinates worldwide. Temperature, precipitation and wind. No API key, powered by Open-Meteo. - **URL**: https://apify.com/fit\_melon/global-weather-forecast-open-meteo.md - **Developed by:** [D N](https://apify.com/fit_melon) (community) - **Categories:** Business, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Global Weather Forecast (Open-Meteo) — Free **Daily weather forecast for any city name or GPS coordinates, anywhere in the world.** Powered by the free, open **Open-Meteo** API. City names are geocoded automatically; you get max/min temperature, precipitation and max wind for each day. No API key required. This Actor is **free** — you only pay for your own Apify platform usage. ### What it does Give it a list of cities (or `lat,lon` pairs) and a number of forecast days. It resolves each location, fetches the forecast and returns one clean row per location per day. ### Input | Field | Type | Description | |---|---|---| | `locations` | array of strings | City names or `lat,lon` coordinates. | | `forecastDays` | integer | Days to forecast (1–16, default 7). | ### Output (one item per location-day) ```json { "query": "Tokyo", "status": "found", "resolved_name": "Tokyo", "country": "Japan", "latitude": 35.69, "longitude": 139.69, "timezone": "Asia/Tokyo", "date": "2026-07-06", "temp_max_c": 31.2, "temp_min_c": 24.8, "precipitation_mm": 0.0, "wind_max_kmh": 14.5 } ```` Unknown cities return `{"status": "not_found"}`; transient failures return `{"status": "error"}`. ### Use cases - Add a weather feed to a travel, logistics or events app. - Compare forecasts across multiple cities in one run. - Build weather-based alerts or planning spreadsheets. - Enrich records with upcoming temperature and rain. ### Limitations & fair use Forecast is model output from Open-Meteo (accuracy decreases with horizon). Open-Meteo data is free for non-commercial and commercial use under its terms (CC-BY 4.0). Not affiliated with Open-Meteo. ### More actors by this developer See other open-data tools on the **fit\_melon** profile: https://apify.com/fit\_melon # Actor input Schema ## `locations` (type: `array`): City names (e.g. 'Tokyo', 'Paris') or 'lat,lon' coordinates (e.g. '48.85,2.35'). One forecast per location per day. ## `forecastDays` (type: `integer`): Number of days to forecast (1-16). ## `concurrency` (type: `integer`): How many items to process in parallel. Higher = faster on large inputs. Default 8. ## Actor input object example ```json { "locations": [ "Tokyo", "New York", "48.85,2.35" ], "forecastDays": 7, "concurrency": 8 } ``` # 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": [ "Tokyo", "New York", "48.85,2.35" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fit_melon/global-weather-forecast-open-meteo").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": [ "Tokyo", "New York", "48.85,2.35", ] } # Run the Actor and wait for it to finish run = client.actor("fit_melon/global-weather-forecast-open-meteo").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": [ "Tokyo", "New York", "48.85,2.35" ] }' | apify call fit_melon/global-weather-forecast-open-meteo --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fit_melon/global-weather-forecast-open-meteo", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Global Weather Forecast (Open-Meteo)", "description": "Free daily weather forecast for any city or GPS coordinates worldwide. Temperature, precipitation and wind. No API key, powered by Open-Meteo.", "version": "0.0", "x-build-id": "u4d6AEW3GFxisIDbJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fit_melon~global-weather-forecast-open-meteo/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fit_melon-global-weather-forecast-open-meteo", "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/fit_melon~global-weather-forecast-open-meteo/runs": { "post": { "operationId": "runs-sync-fit_melon-global-weather-forecast-open-meteo", "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/fit_melon~global-weather-forecast-open-meteo/run-sync": { "post": { "operationId": "run-sync-fit_melon-global-weather-forecast-open-meteo", "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": [ "locations" ], "properties": { "locations": { "title": "Cities or coordinates", "type": "array", "description": "City names (e.g. 'Tokyo', 'Paris') or 'lat,lon' coordinates (e.g. '48.85,2.35'). One forecast per location per day.", "items": { "type": "string" } }, "forecastDays": { "title": "Forecast days", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of days to forecast (1-16).", "default": 7 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many items to process in parallel. Higher = faster on large inputs. Default 8.", "default": 8 } } }, "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 } } } } } } } } } } ```