# Historical Weather Archive Scraper (`chrisp1211/historical-weather-scraper-max`) Actor Historical Weather Archive Scraper. No API key required. Pay only per result; empty or failed runs cost nothing. - **URL**: https://apify.com/chrisp1211/historical-weather-scraper-max.md - **Developed by:** [Christian Pichichero](https://apify.com/chrisp1211) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.40 / 1,000 records 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Archive Scraper **Historical Weather Archive Scraper** — a fast, reliable historical weather scraper that needs **no API key**. You pay only for the results you get: failed or empty runs are always free. This historical weather scraper runs on the [Apify platform](https://apify.com), so you can call it from the API, run it on a schedule, or export results to JSON, CSV, Excel, or Google Sheets. ### What this scraper does - Extracts structured **historical weather** data with no browser or API key required - Returns clean JSON, one record per result — ready for sheets, databases, or apps - Pay-per-result pricing: you are never charged for a run that returns nothing - Runs on demand or on a schedule, and integrates with 5,000+ apps via the Apify API and webhooks ### What data you get Each result record includes fields such as: - **Location** (`location`) — e.g. `"Berlin, State of Berlin, Germany"` - **Latitude** (`latitude`) — e.g. `52.54833` - **Longitude** (`longitude`) — e.g. `13.407822` - **Date** (`date`) — e.g. `"2024-01-01"` - **Temp Max** (`tempMax`) — e.g. `7.4` - **Temp Min** (`tempMin`) — e.g. `3.4` - **Temp Mean** (`tempMean`) — e.g. `5.3` - **Precipitation** (`precipitation`) — e.g. `1.8` - **Rain** (`rain`) — e.g. `1.8` - **Snowfall** (`snowfall`) — e.g. `0.0` - **Windspeed Max** (`windspeedMax`) — e.g. `19.7` - **Url** (`url`) — e.g. `null` ### Input | Field | Type | Description | |---|---|---| | `locations` | array | City / place names to fetch historical weather for. Each is geocoded to lat/lon via Open-Meteo. Use 'City, ... | | `latitude` | number | Optional direct latitude (decimal degrees, -90 to 90). Used together with Longitude as one extra location, ... | | `longitude` | number | Optional direct longitude (decimal degrees, -180 to 180). Used together with Latitude as one extra location... | | `startDate` | string | First day of the historical range, format YYYY-MM-DD (archive covers 1940 to ~5 days ago). REQUIRED. | | `endDate` | string | Last day of the historical range, format YYYY-MM-DD (inclusive). REQUIRED. | | `maxResults` | integer | Maximum number of daily records to emit per location. Default 1000. | ### Example output ```json { "type": "weather-day", "scrapedAt": "2026-07-10T00:00:00Z", "location": "Berlin, State of Berlin, Germany", "latitude": 52.54833, "longitude": 13.407822, "date": "2024-01-01", "tempMax": 7.4, "tempMin": 3.4, "tempMean": 5.3, "precipitation": 1.8, "rain": 1.8, "snowfall": 0.0, "windspeedMax": 19.7, "url": null } ```` ### Use cases - Automate research and data collection - Feed dashboards, sheets, and databases - Enrich records in your CRM or app - Monitor changes on a schedule ### Pricing This actor uses **pay-per-result** pricing at **$0.0004 per record**. There is no monthly fee and no start fee — and **empty or failed runs cost $0**, so you only ever pay for data you actually receive. ### Frequently asked questions **Do I need an API key or account for the source?** No. This historical weather scraper works out of the box with no API key required. **What happens if a run returns no results?** You are not charged. Billing is per result, so empty or failed runs are free. **Can I run the historical weather scraper on a schedule?** Yes. Use the Apify Scheduler to run it hourly, daily, or on any cron schedule, and get results by webhook or API. **What export formats are supported?** Results can be exported as JSON, CSV, Excel, HTML, or pushed to Google Sheets, a database, or your own app via the Apify API. **Is the data structured?** Yes. Every historical weather result is a clean, flat JSON record you can use immediately. # Actor input Schema ## `locations` (type: `array`): City / place names to fetch historical weather for. Each is geocoded to lat/lon via Open-Meteo. Use 'City, Region' (e.g. 'Berlin, Germany' or 'Berlin, New Hampshire') to disambiguate. Optional if latitude+longitude are given. ## `latitude` (type: `number`): Optional direct latitude (decimal degrees, -90 to 90). Used together with Longitude as one extra location, in addition to any Locations. ## `longitude` (type: `number`): Optional direct longitude (decimal degrees, -180 to 180). Used together with Latitude as one extra location, in addition to any Locations. ## `startDate` (type: `string`): First day of the historical range, format YYYY-MM-DD (archive covers 1940 to ~5 days ago). REQUIRED. ## `endDate` (type: `string`): Last day of the historical range, format YYYY-MM-DD (inclusive). REQUIRED. ## `maxResults` (type: `integer`): Maximum number of daily records to emit per location. Default 1000. ## `maxCostUsd` (type: `integer`): HARD budget cap. The run stops cleanly before exceeding this. ## `proxyConfiguration` (type: `object`): This is an open API; no proxy needed. Default is fine. ## Actor input object example ```json { "locations": [ "Berlin, Germany", "Tokyo, Japan" ], "startDate": "2024-01-01", "endDate": "2024-01-31", "maxResults": 1000, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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": [ "Berlin, Germany", "Tokyo, Japan" ], "startDate": "2024-01-01", "endDate": "2024-01-31", "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("chrisp1211/historical-weather-scraper-max").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": [ "Berlin, Germany", "Tokyo, Japan", ], "startDate": "2024-01-01", "endDate": "2024-01-31", "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("chrisp1211/historical-weather-scraper-max").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": [ "Berlin, Germany", "Tokyo, Japan" ], "startDate": "2024-01-01", "endDate": "2024-01-31", "proxyConfiguration": { "useApifyProxy": false } }' | apify call chrisp1211/historical-weather-scraper-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=chrisp1211/historical-weather-scraper-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Historical Weather Archive Scraper", "description": "Historical Weather Archive Scraper. No API key required. Pay only per result; empty or failed runs cost nothing.", "version": "0.1", "x-build-id": "r3aZZn7rx3YZEzr3Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/chrisp1211~historical-weather-scraper-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-chrisp1211-historical-weather-scraper-max", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/chrisp1211~historical-weather-scraper-max/runs": { "post": { "operationId": "runs-sync-chrisp1211-historical-weather-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/chrisp1211~historical-weather-scraper-max/run-sync": { "post": { "operationId": "run-sync-chrisp1211-historical-weather-scraper-max", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "City / place names to fetch historical weather for. Each is geocoded to lat/lon via Open-Meteo. Use 'City, Region' (e.g. 'Berlin, Germany' or 'Berlin, New Hampshire') to disambiguate. Optional if latitude+longitude are given.", "items": { "type": "string" } }, "latitude": { "title": "Latitude", "type": "number", "description": "Optional direct latitude (decimal degrees, -90 to 90). Used together with Longitude as one extra location, in addition to any Locations." }, "longitude": { "title": "Longitude", "type": "number", "description": "Optional direct longitude (decimal degrees, -180 to 180). Used together with Latitude as one extra location, in addition to any Locations." }, "startDate": { "title": "Start date", "type": "string", "description": "First day of the historical range, format YYYY-MM-DD (archive covers 1940 to ~5 days ago). REQUIRED." }, "endDate": { "title": "End date", "type": "string", "description": "Last day of the historical range, format YYYY-MM-DD (inclusive). REQUIRED." }, "maxResults": { "title": "Max results (days per location)", "minimum": 1, "type": "integer", "description": "Maximum number of daily records to emit per location. Default 1000.", "default": 1000 }, "maxCostUsd": { "title": "Max cost per run (USD)", "minimum": 1, "type": "integer", "description": "HARD budget cap. The run stops cleanly before exceeding this." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "This is an open API; no proxy needed. Default is fine.", "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 } } } } } } } } } } ```