# Open-Meteo Global Weather Forecast Scraper (`parseforge/open-meteo-weather-scraper`) Actor Pull global weather forecasts and historical climate data. Returns hourly or daily temperature, precipitation, humidity, wind, cloud cover, pressure, snowfall, UV index for any lat/lng worldwide. Up to 16 days forecast or 80 years historical. No key required. - **URL**: https://apify.com/parseforge/open-meteo-weather-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Travel, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $12.00 / 1,000 result items This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐ŸŒค๏ธ Open-Meteo Global Weather Forecast Scraper > ๐Ÿš€ **Pull global weather forecasts and historical climate data: temperature, precipitation, wind, UV, cloud cover for any lat/lng worldwide.** > ๐Ÿ•’ **Last updated:** 2026-05-07 ยท **๐Ÿ“Š 22 fields** per record ยท **Worldwide forecast** + **80 years historical** ยท hourly or daily granularity ยท temperature, precipitation, wind, humidity, cloud, pressure, UV The **Open-Meteo Global Weather Forecast Scraper** pulls weather and climate data from Open-Meteo, a free open-data weather API with no key required. Output includes temperature (max/min/apparent), precipitation, rain, snowfall, humidity, dew point, wind speed/gusts/direction, cloud cover, pressure, UV index, sunrise/sunset, and weather codes for any latitude/longitude. Two modes: **forecast** (next 16 days globally) or **historical** (1940 to present). Daily granularity returns one row per day per location with summary stats; hourly granularity returns 24 rows per day with intra-day readings. Multi-location runs supported via lat/lng list. Pure open data โ€” no API key, no quota. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Travel platforms, agriculture tech, energy traders, logistics, climate researchers, journalists, ML pipelines | Travel-app forecasts, agriculture/crop modeling, energy demand forecasting, climate research, news visualizations | --- ### ๐Ÿ“‹ What the Open-Meteo Global Weather Forecast Scraper does Five filtering workflows in a single run: - ๐Ÿ“… **Forecast mode.** Next 16 days for any lat/lng worldwide. - ๐Ÿ“š **Historical mode.** 1940 to present from ERA5 reanalysis. - โฑ๏ธ **Daily or hourly.** Daily summaries (1 row/day) or hourly readings (24 rows/day). - ๐ŸŒ **Multi-location.** Pass any number of lat/lng pairs in a single run. - ๐ŸŒก๏ธ **Multi-unit.** Celsius/Fahrenheit, km/h winds, mm precipitation. > ๐Ÿ’ก **Why it matters:** clean, server-side filtering and fresh data on every run. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
maxItemsinteger10Records to return. Free plan caps at 10, paid plan up to 1,000,000.
modestring"forecast"forecast or historical.
locationsstringnewline listOne lat,lng per line.
startDatestring""YYYY-MM-DD (historical mode).
endDatestring""YYYY-MM-DD (historical mode).
granularitystring"daily"daily or hourly.
temperatureUnitstring"celsius"celsius or fahrenheit.
**Example: 7-day forecast for 3 cities.** ```json { "maxItems": 30, "mode": "forecast", "locations": "52.52,13.41\n40.71,-74.01\n35.68,139.65", "granularity": "daily" } ```` **Example: Berlin historical 2020 hourly.** ```json { "maxItems": 200, "mode": "historical", "locations": "52.52,13.41", "startDate": "2020-01-01", "endDate": "2020-01-08", "granularity": "hourly" } ``` *** ### ๐Ÿ“Š Output Each record contains **22 fields**. Download as CSV, Excel, JSON, or XML. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ“… `timestamp` | string | `"2026-05-07"` | | ๐ŸŒ `latitude` | number | `52.52` | | ๐ŸŒ `longitude` | number | `13.41` | | ๐Ÿ•’ `timezone` | string | `"Europe/Berlin"` | | ๐Ÿ“ `elevation` | number | `38` | | ๐ŸŒก๏ธ `temperatureMax` | number | `18.5` | | ๐ŸŒก๏ธ `temperatureMin` | number | `9.2` | | ๐Ÿ’ง `precipitationSum` | number | `2.4` | | ๐ŸŒง๏ธ `rainSum` | number | `2.4` | | โ„๏ธ `snowfallSum` | number | `0` | | ๐Ÿ’จ `windSpeedMax` | number | `18.5` | | ๐Ÿ’จ `windGustMax` | number | `32.4` | | ๐ŸŒ… `sunrise` | string | `"2026-05-07T05:32"` | | ๐ŸŒ‡ `sunset` | string | `"2026-05-07T20:48"` | | โ˜€๏ธ `uvIndexMax` | number | `6.2` | | โ˜๏ธ `weatherCode` | number | `61` | #### ๐Ÿ“ฆ Sample records
โ˜€๏ธ Berlin daily ```json {"timestamp":"2026-05-07","latitude":52.52,"longitude":13.41,"timezone":"Europe/Berlin","temperatureMax":18.5,"temperatureMin":9.2,"precipitationSum":2.4,"windSpeedMax":18.5,"sunrise":"2026-05-07T05:32","sunset":"2026-05-07T20:48"} ```
๐ŸŒƒ NYC hourly ```json {"timestamp":"2026-05-07T15:00","latitude":40.71,"longitude":-74.01,"temperature_2m":21.3,"precipitation":0,"windspeed_10m":12.5} ```
*** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐ŸŒ | **Worldwide coverage.** Any lat/lng on Earth. | | ๐Ÿ“š | **80 years historical.** ERA5 reanalysis from 1940 to present. | | โฑ๏ธ | **Daily or hourly.** Pick the right granularity per use case. | | ๐Ÿ†“ | **No API key.** Pure open data with no quota. | | โšก | **Fast.** 100 records in under 30 seconds. | *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **โญ This Actor** | $5 free credit | **Worldwide** | Live per run | mode, locations, granularity, units | โšก 2 min | | OpenWeatherMap | $$ | Worldwide | Live | Yes | ๐Ÿข API key | | WeatherAPI | $$ | Worldwide | Live | Yes | ๐Ÿข API key | | Manual NOAA scraping | Free | US-leaning | Variable | DIY | ๐Ÿข Days | *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Find the Open-Meteo Global Weather Forecast Scraper on the Apify Store. 3. ๐ŸŽฏ **Set input.** Pick filters and `maxItems`. 4. ๐Ÿš€ **Run it.** Click **Start**. 5. ๐Ÿ“ฅ **Download.** Grab results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to dataset: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### โœˆ๏ธ Travel + Tourism - Trip-planner forecasts - City pages with seasonal stats - Best-time-to-visit indicators - Beach/ski-resort weather #### ๐ŸŒพ Agriculture + Energy - Crop modeling with temp + precip - Energy demand forecasting - Solar generation by UV index - Wind farm power forecasting
#### ๐Ÿ“ฐ News + Visualizations - Heatwave story visualizations - Climate-change overlays - Weather-event explainers - Year-in-review climate summaries #### ๐Ÿค– ML + Research - Train weather-prediction models - Build climate-change features - Power agriculture/energy dashboards - Cross-train with historical reanalysis
*** ### ๐Ÿ”Œ Automating Open-Meteo Global Weather Forecast Scraper Control the scraper programmatically: - ๐ŸŸข **Node.js.** Install the `apify-client` NPM package. - ๐Ÿ **Python.** Use the `apify-client` PyPI package. - ๐Ÿ“š See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. The [Apify Schedules feature](https://docs.apify.com/platform/schedules) lets you trigger this Actor on any cron interval. *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows.
#### ๐ŸŽ“ Research and academia - Climate-research datasets - Reproducible weather snapshots - Course materials - Cross-region climate studies #### ๐ŸŽจ Personal and creative - Personal weather dashboards - Garden/outdoor planning apps - Newsletter content - Hobbyist climate analysis
#### ๐Ÿค Non-profit and civic - Disaster-response planning - Climate-justice research - Open-data weather services - Civic-tech projects #### ๐Ÿงช Experimentation - Train weather forecasting models - Prototype weather-aware agents - Build climate visualizations - Test forecasting libraries
*** ### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20Open-Meteo%20Global%20Weather%20Forecast%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20Open-Meteo%20Global%20Weather%20Forecast%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20Open-Meteo%20Global%20Weather%20Forecast%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20Open-Meteo%20Global%20Weather%20Forecast%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### โ“ Frequently Asked Questions #### ๐Ÿงฉ How does it work? Pick mode (forecast or historical) and supply lat/lng locations. The Actor calls Open-Meteo and emits one row per day or per hour per location. #### ๐Ÿ“Š How many fields per record? Up to 22 daily fields, plus weather code, sunrise/sunset, and UV index. Hourly mode returns ~13 columns per row. #### ๐Ÿ“… What's the historical range? 1940 to present. Open-Meteo's archive is backed by ERA5 reanalysis. #### ๐ŸŒ What lat/lng resolution? Forecast = ~1km grid (down to building-level for some areas). Historical = ~10km ERA5 grid. #### ๐Ÿ†“ Is the API really free? Yes. Open-Meteo is non-profit. No API key for personal/non-commercial use; high-volume commercial users can subscribe. #### ๐Ÿ” Can I schedule runs? Yes. Schedule daily for fresh forecasts. #### โš–๏ธ Is this data free to use commercially? Yes for moderate volume. For high-volume commercial use, see Open-Meteo's pricing for guaranteed-quota plans. #### ๐Ÿ’ณ Do I need a paid Apify plan? No. The free plan covers preview runs. #### ๐Ÿ†˜ What if a run fails? Apify retries transient errors. Per-location failures are logged and other locations continue. #### โ˜๏ธ What does weatherCode mean? WMO standard weather codes. 0=clear, 1-3=mostly clear, 45-48=fog, 51-67=drizzle/rain, 71-77=snow, 80+=showers/storms. *** ### ๐Ÿ”Œ Integrate with any app Open-Meteo Global Weather Forecast Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe data into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets to Sheets *** ### ๐Ÿ”— Recommended Actors - [**๐ŸŒ REST Countries**](https://apify.com/parseforge/rest-countries-scraper) - Country reference data with capital, currency, flag - [**๐ŸŒ GeoNames Places + Postal Codes**](https://apify.com/parseforge/geonames-places-scraper) - 12M+ places with admin hierarchy - [**๐ŸŒ Public Holidays Worldwide**](https://apify.com/parseforge/public-holidays-scraper) - Public holidays for 100+ countries - [**๐Ÿฅ WHO Global Health Indicators**](https://apify.com/parseforge/who-gho-health-indicators-scraper) - 9,000+ WHO health metrics - [**๐ŸŒ World Bank Funded Projects**](https://apify.com/parseforge/worldbank-projects-scraper) - World Bank-financed development projects > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. *** > **โš ๏ธ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Open-Meteo, ECMWF, NOAA, or any contributing weather agency. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `mode` (type: `string`): Pick forecast or historical archive. ## `locations` (type: `string`): One `latitude,longitude` per line. Each location returns its own dataset row(s). Examples: `52.52,13.41` (Berlin), `40.71,-74.01` (NYC), `35.68,139.65` (Tokyo). ## `startDate` (type: `string`): YYYY-MM-DD. Only for historical mode. ## `endDate` (type: `string`): YYYY-MM-DD. Only for historical mode. ## `granularity` (type: `string`): Hourly produces 24 rows per day per location; daily produces 1 row per day. ## `temperatureUnit` (type: `string`): Celsius or Fahrenheit. ## Actor input object example ```json { "maxItems": 10, "mode": "forecast", "locations": "52.52,13.41\n40.71,-74.01\n35.68,139.65", "startDate": "2024-01-01", "endDate": "2024-01-07", "granularity": "daily", "temperatureUnit": "celsius" } ``` # 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 = { "maxItems": 10, "mode": "forecast", "locations": `52.52,13.41 40.71,-74.01 35.68,139.65`, "startDate": "2024-01-01", "endDate": "2024-01-07", "granularity": "daily", "temperatureUnit": "celsius" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "maxItems": 10, "mode": "forecast", "locations": """52.52,13.41 40.71,-74.01 35.68,139.65""", "startDate": "2024-01-01", "endDate": "2024-01-07", "granularity": "daily", "temperatureUnit": "celsius", } # Run the Actor and wait for it to finish run = client.actor("parseforge/open-meteo-weather-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 10, "mode": "forecast", "locations": "52.52,13.41\\n40.71,-74.01\\n35.68,139.65", "startDate": "2024-01-01", "endDate": "2024-01-07", "granularity": "daily", "temperatureUnit": "celsius" }' | apify call parseforge/open-meteo-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/open-meteo-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Open-Meteo Global Weather Forecast Scraper", "description": "Pull global weather forecasts and historical climate data. Returns hourly or daily temperature, precipitation, humidity, wind, cloud cover, pressure, snowfall, UV index for any lat/lng worldwide. Up to 16 days forecast or 80 years historical. No key required.", "version": "1.0", "x-build-id": "mpe9AMqrK1FWpLSxa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~open-meteo-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~open-meteo-weather-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-open-meteo-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~open-meteo-weather-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-open-meteo-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "mode": { "title": "Mode", "enum": [ "forecast", "historical" ], "type": "string", "description": "Pick forecast or historical archive.", "default": "forecast" }, "locations": { "title": "Locations (lat,lng per line)", "type": "string", "description": "One `latitude,longitude` per line. Each location returns its own dataset row(s). Examples: `52.52,13.41` (Berlin), `40.71,-74.01` (NYC), `35.68,139.65` (Tokyo)." }, "startDate": { "title": "Start date (historical mode)", "type": "string", "description": "YYYY-MM-DD. Only for historical mode." }, "endDate": { "title": "End date (historical mode)", "type": "string", "description": "YYYY-MM-DD. 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