# Open-Meteo Weather Forecast Scraper — Hourly & Daily Data (`compute-edge/open-meteo-weather-scraper`) Actor Fetch high-resolution weather forecasts from Open-Meteo for multiple locations at once — hourly temperature, precipitation, wind, humidity, plus daily summaries. No API key required. - **URL**: https://apify.com/compute-edge/open-meteo-weather-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Open-Meteo Weather Forecast Scraper Fetch high-resolution weather forecasts from **Open-Meteo** — a free, open-source weather API — for unlimited locations in a single Actor run. Returns hourly or daily forecasts with temperature, precipitation, wind, humidity, cloud cover, surface pressure and WMO weather codes. **No API key required.** Open-Meteo aggregates data from national weather services (NOAA, DWD, MeteoFrance, ECMWF, JMA and others) and serves it through one consistent JSON API. This Actor lets you batch-fetch forecasts for many places at once and dump them straight into a dataset. ### Why scrape Open-Meteo? - **Logistics**: weather risk for delivery / dispatch operations across regions. - **Energy**: short-term forecasts for solar and wind generation planning. - **Agriculture**: precipitation and temperature for farm operations. - **Retail**: weather-driven demand forecasting (umbrellas, ice cream, salt). - **Travel**: pre-trip forecast roll-ups for itineraries. - **AI**: weather context features for ML models. ### Output fields (hourly mode) | Field | Description | |---|---| | `locationName` | The label you provided | | `latitude` / `longitude` / `elevation` | Resolved coordinates | | `timeIso` | UTC hour timestamp | | `temperature` | 2 m temperature | | `humidity` | 2 m relative humidity (%) | | `precipitation` / `rain` / `snowfall` | Mm of precipitation | | `windSpeed` / `windDirection` | 10 m wind | | `cloudCover` | % | | `surfacePressure` | hPa | | `weatherCode` | WMO weather code | | `units` | Echo of unit labels (per request) | In `daily` mode you get max/min temperature, precipitation sum, max wind, sunrise/sunset and the daily weather code. ### How to use 1. Provide `locations` as `'Label|lat|lon'` strings (e.g. `'Tokyo|35.6762|139.6503'`). If left empty a default set of 10 major world cities is used. 2. Choose `granularity` (`hourly` or `daily`) and `forecastDays` (1–16). 3. Pick `temperatureUnit` (celsius/fahrenheit) and `windSpeedUnit`. 4. Run. ### Pricing Pay-per-result. Each forecast row (location × time) is one record. A default run (10 cities × 72 hours) returns ~720 records. ### Other actors - NDBC Marine Buoy Observations Scraper - USGS Water Services Scraper - NOAA Tides Scraper ### FAQ **Is Open-Meteo really free?** Yes — fully free for non-commercial use, with reasonable rate limits. Commercial users should sponsor or use their commercial endpoint. **Which models?** Open-Meteo automatically picks the best regional/global model unless you override. **Can I do historical data?** This Actor focuses on forecasts. Open-Meteo also has a separate historical-archive endpoint. ### Legal Powered by [Open-Meteo.com](https://open-meteo.com/). Please attribute Open-Meteo when redistributing data. # Actor input Schema ## `locations` (type: `array`): List of locations as 'name|lat|lon' strings. Example: 'New York|40.71|-74.00'. If empty, a default set of major world cities is used. ## `forecastDays` (type: `integer`): Number of days of forecast to fetch (1-16). ## `granularity` (type: `string`): 'hourly' for one record per location-hour, 'daily' for one record per location-day. ## `temperatureUnit` (type: `string`): celsius or fahrenheit ## `windSpeedUnit` (type: `string`): kmh, ms, mph or kn ## Actor input object example ```json { "locations": [], "forecastDays": 3, "granularity": "hourly", "temperatureUnit": "celsius", "windSpeedUnit": "kmh" } ```` # Actor output Schema ## `dataset` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/open-meteo-weather-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 = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/open-meteo-weather-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 '{}' | apify call compute-edge/open-meteo-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/open-meteo-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Open-Meteo Weather Forecast Scraper — Hourly & Daily Data", "description": "Fetch high-resolution weather forecasts from Open-Meteo for multiple locations at once — hourly temperature, precipitation, wind, humidity, plus daily summaries. No API key required.", "version": "0.1", "x-build-id": "Mc5UPppIfuod9pxXZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~open-meteo-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-open-meteo-weather-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~open-meteo-weather-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-open-meteo-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~open-meteo-weather-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-open-meteo-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "locations": { "title": "Locations", "type": "array", "description": "List of locations as 'name|lat|lon' strings. Example: 'New York|40.71|-74.00'. If empty, a default set of major world cities is used.", "default": [], "items": { "type": "string" } }, "forecastDays": { "title": "Forecast Days", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of days of forecast to fetch (1-16).", "default": 3 }, "granularity": { "title": "Granularity", "enum": [ "hourly", "daily" ], "type": "string", "description": "'hourly' for one record per location-hour, 'daily' for one record per location-day.", "default": "hourly" }, "temperatureUnit": { "title": "Temperature Unit", "enum": [ "celsius", "fahrenheit" ], "type": "string", "description": "celsius or fahrenheit", "default": "celsius" }, "windSpeedUnit": { "title": "Wind Speed Unit", "enum": [ "kmh", "ms", "mph", "kn" ], "type": "string", "description": "kmh, ms, mph or kn", "default": "kmh" } } }, "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 } } } } } } } } } } ```