# Historical Weather Data (`agentictools/historical-weather`) Actor Historical and forecast weather for any location by name or coordinates. Daily and hourly, no API key. - **URL**: https://apify.com/agentictools/historical-weather.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Other, Automation - **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 ## Historical Weather Data Historical and forecast weather for any location by name or coordinates. Daily and hourly, no API key. This Actor uses the free Open-Meteo API. It needs no API key or sign-up. ### What it does - Looks up daily weather for one or more locations, given by name or by `lat,lon`. - Geocodes place names to coordinates automatically. - Serves past days from the historical archive and recent or future days from the forecast, merged by date. - Optional hourly temperature nested inside each daily item. - Metric or imperial units. ### Example input ```json { "locations": [ "London", "Tokyo" ], "startDate": "2025-06-01", "endDate": "2025-06-05", "hourly": false, "units": "metric" } ```` ### Input | Field | Type | Description | |---|---|---| | `locations` | array | One or more place names (for example `"Tokyo"`) or `"lat,lon"` pairs (for example `"51.5,-0.12"`). | | `startDate` | string | First day, `YYYY-MM-DD`. Defaults to seven days before the end date. | | `endDate` | string | Last day, `YYYY-MM-DD`. Defaults to today. | | `hourly` | boolean | Add an hourly temperature array to each daily item. Default `false`. | | `units` | string | `metric` (C, mm, km/h) or `imperial` (F, in, mph). Default `metric`. | ### Output One dataset item per location per day: ```json { "location": "London", "resolvedName": "London, England, United Kingdom", "latitude": 51.5, "longitude": -0.12, "date": "2025-06-01", "tempMaxC": 21.3, "tempMinC": 11.8, "precipitationMm": 0, "windSpeedMax": 18.7, "windSpeedUnit": "km/h", "units": "metric", "source": "archive" } ``` With imperial units the numeric keys become `tempMaxF`, `tempMinF`, and `precipitationIn`, and `windSpeedMax` is in mph. When `hourly` is true, each item also carries an `hourly` array of `{ "time", "temp" }` readings for that day. #### Run summary (OUTPUT) The run's default key-value store record `OUTPUT` holds an aggregate: ```json { "query": { "locations": [ "London", "Tokyo" ], "startDate": "2025-06-01", "endDate": "2025-06-05", "hourly": false, "units": "metric" }, "locationsRequested": 2, "locationsResolved": 2, "resolved": [ { "location": "London", "resolvedName": "London, England, United Kingdom", "latitude": 51.5, "longitude": -0.12 } ], "dayCount": 5, "dateRange": { "start": "2025-06-01", "end": "2025-06-05" }, "itemsPushed": 10, "generatedFrom": "https://open-meteo.com" } ``` ### How it works Each location is geocoded to coordinates (coordinate pairs are used directly). The date window is split: days older than the archive lag are read from the Open-Meteo archive API, while recent and future days come from the forecast API. The two sets are merged by date, so a range that straddles today returns a single continuous series. All requests retry on rate limits and server errors with backoff, and locations that cannot be resolved are skipped without failing the run. # Actor input Schema ## `locations` (type: `array`): One or more locations. Each entry is a place name (for example "Tokyo") or a "lat,lon" coordinate pair (for example "51.5,-0.12"). ## `startDate` (type: `string`): First day to fetch, in YYYY-MM-DD format. Defaults to seven days before the end date. ## `endDate` (type: `string`): Last day to fetch, in YYYY-MM-DD format. Defaults to today. ## `hourly` (type: `boolean`): When enabled, each daily item also carries an hourly array of temperature readings for that day. ## `units` (type: `string`): Metric uses Celsius, millimetres, and km/h. Imperial uses Fahrenheit, inches, and mph. ## Actor input object example ```json { "locations": [ "Paris", "40.71,-74.01" ], "startDate": "2025-06-01", "endDate": "2025-06-05", "hourly": false, "units": "metric" } ``` # 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": [ "London", "Tokyo" ], "startDate": "2025-06-01", "endDate": "2025-06-05" }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/historical-weather").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": [ "London", "Tokyo", ], "startDate": "2025-06-01", "endDate": "2025-06-05", } # Run the Actor and wait for it to finish run = client.actor("agentictools/historical-weather").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": [ "London", "Tokyo" ], "startDate": "2025-06-01", "endDate": "2025-06-05" }' | apify call agentictools/historical-weather --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/historical-weather", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Historical Weather Data", "description": "Historical and forecast weather for any location by name or coordinates. Daily and hourly, no API key.", "version": "0.1", "x-build-id": "Yaph7OHgGcFMdSLFJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~historical-weather/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-historical-weather", "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/agentictools~historical-weather/runs": { "post": { "operationId": "runs-sync-agentictools-historical-weather", "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/agentictools~historical-weather/run-sync": { "post": { "operationId": "run-sync-agentictools-historical-weather", "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": "Locations", "type": "array", "description": "One or more locations. Each entry is a place name (for example \"Tokyo\") or a \"lat,lon\" coordinate pair (for example \"51.5,-0.12\").", "items": { "type": "string" } }, "startDate": { "title": "Start date", "type": "string", "description": "First day to fetch, in YYYY-MM-DD format. Defaults to seven days before the end date." }, "endDate": { "title": "End date", "type": "string", "description": "Last day to fetch, in YYYY-MM-DD format. Defaults to today." }, "hourly": { "title": "Include hourly data", "type": "boolean", "description": "When enabled, each daily item also carries an hourly array of temperature readings for that day.", "default": false }, "units": { "title": "Units", "enum": [ "metric", "imperial" ], "type": "string", "description": "Metric uses Celsius, millimetres, and km/h. Imperial uses Fahrenheit, inches, and mph.", "default": "metric" } } }, "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 } } } } } } } } } } ```