# Open-Meteo Weather Scraper (`dami_studio/open-meteo-weather-scraper`) Actor Geocodes city names and returns current weather or a multi-day forecast (temperature, humidity, wind, precipitation) from the free Open-Meteo API as structured rows, no API key. Best for live multi-city conditions and week-ahead forecasts. - **URL**: https://apify.com/dami\_studio/open-meteo-weather-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Integrations, AI, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.50 / 1,000 item returneds 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 Scraper Look up **current weather** or a **multi-day forecast** for any place on Earth — by name or by coordinates — using the free [Open-Meteo](https://open-meteo.com/) API. No API key, no login, no sign-up. Give it a list of place names (`["Berlin", "Tokyo", "New York"]`) and it geocodes each to its top match, then returns clean, structured weather rows with a human-readable description (e.g. `Partly cloudy`, `Slight rain`, `Thunderstorm`) instead of a raw WMO code. ### Modes - **`current`** — current conditions per place: temperature, feels-like, humidity, precipitation, wind, weather text. - **`forecast`** — one row per day (up to **Forecast days**, max 16): daily high/low, precipitation total, max wind, weather text. - **`geocode`** — just resolve place names to coordinates + metadata (country, region, timezone, population). No weather call. ### What you get per row **geocode:** `place`, `name`, `latitude`, `longitude`, `country`, `admin1` (region/state), `timezone`, `population`. **current:** `place`, `latitude`, `longitude`, `time`, `temperature`, `apparentTemperature`, `humidity`, `precipitation`, `windSpeed`, `weatherCode`, `weather` (text), `timezone`. **forecast** (one row per day): `place`, `latitude`, `longitude`, `date`, `tempMax`, `tempMin`, `precipitationSum`, `windSpeedMax`, `weatherCode`, `weather` (text). Units are Open-Meteo defaults: temperatures in °C, wind in km/h, precipitation in mm. ### Input | Field | Notes | |---|---| | `mode` | `current` (default), `forecast`, or `geocode`. | | `places` | List of place names. Each is geocoded to its top match. | | `latitude` / `longitude` | Optional exact coordinates, used only when `places` is empty. | | `forecastDays` | Days for forecast mode, 1–16 (default 7). | | `maxItems` | Caps total output rows across all places (default 100). | You must provide either `places` or both `latitude` and `longitude`. ### Output One dataset row per place (geocode/current) or per day (forecast). Pricing is pay-per-result: you are only charged for genuine result rows (`ok: true`). Rows we couldn't deliver are **never charged** — this includes: - empty/invalid input (a single `ok: false` row with `errorCode: "BAD_INPUT"` — e.g. no place and no coordinates, or an unknown mode), - a place that couldn't be geocoded / produced no data (`NO_RESULTS`), - rate limits or network errors (`RATE_LIMITED` / `NETWORK`). When some places resolve and others don't, the unresolved ones are listed under `unresolved` on the run log; the resolved rows are still returned and charged. #### Proxy Open-Meteo is a public, no-auth JSON API with no anti-bot, so **no proxy is required** and the default runs without one (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume. #### Troubleshooting - Getting a `BAD_INPUT` row? Provide `places`, or both `latitude` and `longitude`, and a valid `mode`. - A place came back as `NO_RESULTS`? Try a more specific name (add the country, e.g. `"Springfield, US"`), or use direct coordinates. ### Example ```json { "mode": "forecast", "places": ["Paris", "Madrid"], "forecastDays": 5 } ```` ### Notes Weather codes follow the WMO interpretation table and are mapped to short English text in the `weather` field; the raw number is kept in `weatherCode`. Data and geocoding come from Open-Meteo — please review their terms for attribution and fair-use limits at high volume. # Actor input Schema ## `mode` (type: `string`): What to return: "current" = current conditions per place, "forecast" = one row per day (up to Forecast days), "geocode" = just resolve place names to coordinates and metadata. ## `places` (type: `array`): List of place names to look up (e.g. \["Berlin", "Tokyo", "New York"]). Each is geocoded to its top match. Leave empty if you provide Latitude + Longitude directly. ## `latitude` (type: `string`): Optional. Use exact coordinates instead of a place name. Only used when Places is empty. Must be paired with Longitude. Example: 52.52. ## `longitude` (type: `string`): Optional. Use exact coordinates instead of a place name. Only used when Places is empty. Must be paired with Latitude. Example: 13.41. ## `forecastDays` (type: `integer`): Number of days to return in forecast mode (1-16). Ignored in current / geocode modes. ## `maxItems` (type: `integer`): Maximum total output rows across all places. Caps forecast rows too (each forecast day is one row). ## `notionConnector` (type: `string`): Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): OPTIONAL. Open-Meteo is a public, no-auth JSON API with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume. ## Actor input object example ```json { "mode": "current", "places": [ "Berlin", "London", "Tokyo" ], "forecastDays": 7, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # 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 = { "places": [ "Berlin", "London", "Tokyo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/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 = { "places": [ "Berlin", "London", "Tokyo", ] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/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 '{ "places": [ "Berlin", "London", "Tokyo" ] }' | apify call dami_studio/open-meteo-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/open-meteo-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Open-Meteo Weather Scraper", "description": "Geocodes city names and returns current weather or a multi-day forecast (temperature, humidity, wind, precipitation) from the free Open-Meteo API as structured rows, no API key. Best for live multi-city conditions and week-ahead forecasts.", "version": "0.1", "x-build-id": "k0m51ZSnwX7NjslbR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~open-meteo-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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/dami_studio~open-meteo-weather-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-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/dami_studio~open-meteo-weather-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-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": { "mode": { "title": "Mode", "enum": [ "current", "forecast", "geocode" ], "type": "string", "description": "What to return: \"current\" = current conditions per place, \"forecast\" = one row per day (up to Forecast days), \"geocode\" = just resolve place names to coordinates and metadata.", "default": "current" }, "places": { "title": "Places", "type": "array", "description": "List of place names to look up (e.g. [\"Berlin\", \"Tokyo\", \"New York\"]). Each is geocoded to its top match. Leave empty if you provide Latitude + Longitude directly.", "items": { "type": "string" } }, "latitude": { "title": "Latitude (direct coordinates)", "type": "string", "description": "Optional. Use exact coordinates instead of a place name. Only used when Places is empty. Must be paired with Longitude. Example: 52.52." }, "longitude": { "title": "Longitude (direct coordinates)", "type": "string", "description": "Optional. Use exact coordinates instead of a place name. Only used when Places is empty. Must be paired with Latitude. Example: 13.41." }, "forecastDays": { "title": "Forecast days", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of days to return in forecast mode (1-16). Ignored in current / geocode modes.", "default": 7 }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total output rows across all places. Caps forecast rows too (each forecast day is one row).", "default": 100 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "OPTIONAL. Open-Meteo is a public, no-auth JSON API with no anti-bot, so no proxy is needed and the default routes traffic directly (saving proxy credits). Only enable Apify Proxy if you hit IP rate limits at very high volume.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```