# AEMET Spain Weather Scraper (`parseforge/aemet-spain-weather-scraper`) Actor Tap AEMET OpenData for the latest conventional observations from Spanish weather stations, including temperature, humidity, wind, pressure, and station metadata. Pass a station code or pull every station at once. Useful for climate analytics, agriculture, and travel planning. - **URL**: https://apify.com/parseforge/aemet-spain-weather-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Automation, Integrations, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.50 / 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. 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) ## ๐ŸŒฆ๏ธ AEMET Spain Weather Stations Scraper > ๐Ÿš€ **Export real-time weather observations from the Spanish State Meteorological Agency public OpenData API in seconds.** > ๐Ÿ•’ **Last updated:** 2026-05-29 ยท **๐Ÿ“Š 10 fields** per record ยท AEMET OpenData API ยท Spain coverage ยท Hundreds of stations The AEMET Spain Weather Stations Scraper turns the [AEMET OpenData portal](https://opendata.aemet.es) into a clean dataset of station observations: temperature, humidity, wind and precipitation, by station. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | ๐Ÿ“Š Analysts | Build clean datasets from the source | | ๐Ÿข Business teams | Plug official data into internal tools | | ๐Ÿค– ML engineers | Training data ready for pandas and BigQuery | | ๐Ÿ“ฐ Journalists | Verify numbers in seconds | | ๐ŸŽ“ Researchers | Reproducible historical pulls | | ๐Ÿ‘ฉโ€๐Ÿ’ป Developers | Skip writing a client library | ### ๐Ÿ“‹ What the AEMET Spain Weather Stations Scraper does - Calls the public AEMET OpenData endpoint. - Parses the response and flattens each record into a clean row. - Casts numeric fields and normalizes timestamps for downstream tools. - Surfaces upstream errors as a clean `error` record instead of crashing. - Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML. > ๐Ÿ’ก **Why it matters:** the source is public but its format is not analyst friendly. This actor returns a flat, tool-ready dataset. ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon._ ### โš™๏ธ Input
FieldTypeRequiredDescription
stationIdstringNoSpecific AEMET station code, or empty for all.
maxItemsintegerNoFree 10, paid up to 1,000,000.
**Example 1:** ```json { "maxItems": 100 } ```` **Example 2:** ```json { "stationId": "3195" } ``` > No setup required. The operator pre-configures upstream access for paid runs. > โš ๏ธ **Good to Know:** the upstream source enforces its own rate limits. Heavy pulls should be spread across runs. ### ๐Ÿ“Š Output Each record is a flat object. `error` is always last. | Field | Type | Description | |---|---|---| | ๐Ÿ†” `station_id` | string | AEMET station code | | ๐Ÿ“› `station_name` | string | Station name | | ๐ŸŒ `latitude` | number | Latitude | | ๐ŸŒ `longitude` | number | Longitude | | ๐ŸŒก๏ธ `temperature` | number | Air temperature in degrees C | | ๐Ÿ’ง `humidity` | number | Relative humidity percent | | ๐Ÿ’จ `wind` | number | Wind speed | | ๐ŸŒง๏ธ `precipitation` | number | Precipitation mm | | ๐Ÿ•’ `datetime` | string | Observation timestamp | | ๐Ÿ•’ `scrapedAt` | string | When this row was fetched | | โŒ `error` | string | Set if upstream returned an error | **Sample record:** ```json { "station_id": "3195", "station_name": "MADRID, RETIRO", "latitude": 40.4117, "longitude": -3.6781, "temperature": 22.4, "humidity": 38, "wind": 3.2, "precipitation": 0, "datetime": "2026-05-29T08:00:00", "scrapedAt": "2026-05-29T10:00:00.000Z", "error": null } ``` ### โœจ Why choose this Actor | ๐Ÿ†“ | Calls the public AEMET API with your free key. | | ๐Ÿงน | Cleans cryptic codes (ta, hr, vv) into readable names. | | ๐Ÿ”ข | Numeric casting ready for analysis. | | ๐Ÿ›Ÿ | Errors surfaced as clean records. | | ๐Ÿ’พ | Push to dataset, instant download. | ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Setup time | Clean keys | Numeric casting | Error handling | |---|---|---|---|---| | Roll your own fetch | 30 min plus | โŒ | โŒ | โŒ | | Manual download | hours | โŒ | โŒ | โŒ | | **This Actor** | 5 sec, no install | โœ… | โœ… | โœ… | ### ๐Ÿš€ How to use 1. Click **Try for free**. 2. Fill in the input fields (defaults work for a first run). 3. Click **Start**. Your dataset is ready in seconds. ### ๐Ÿ’ผ Business use cases **๐Ÿ“Š Analytics dashboards.** Pipe to a BI tool, refresh on a schedule. **๐Ÿ’ผ Internal data products.** Mirror the source into your own warehouse. **๐Ÿ“ฐ Newsroom fact-checking.** Verify any number before publishing. **๐Ÿค– ML feature engineering.** Use the clean dataset as model input. ### ๐Ÿ”Œ Automating AEMET Spain Weather Stations Scraper - **Make and Zapier**: trigger on a schedule, push to Airtable or Slack. - **Cron schedule**: native Apify scheduler. - **Webhooks**: receive a POST when a run finishes. - **Pipe to BigQuery, Snowflake, Postgres**: native Apify integrations. ### ๐ŸŒŸ Beyond business use cases **๐ŸŽ“ Education.** Bring real public data into classrooms. **๐Ÿงช Personal research.** Track indicators or markets over time. **๐Ÿค Non-profit and open data.** Build public dashboards. **๐Ÿงฐ Tinkering.** Prototype quickly with structured data. ### ๐Ÿค– Ask an AI assistant about this scraper Paste this README into ChatGPT or Claude and ask it to map your workflow to the actor inputs. The schema, examples and field list above contain everything an LLM needs to design a working pipeline. ### โ“ Frequently Asked Questions **โ“ Do I need an API key?** No, the source is fully public. **โ“ Is there a rate limit?** The upstream enforces a soft limit. Avoid hammering. **โ“ Can I schedule runs?** Yes, via Apify scheduler, Make, Zapier or cron. **โ“ Are values cast to numbers?** Yes where applicable. **โ“ How are errors handled?** Pushed as a single record with `error` populated. **โ“ Is this scraping or API?** Public API or feed. **โ“ Will the schema change?** Core fields are stable. **โ“ Can I filter the results?** Yes, see the input schema above. **โ“ What if the upstream changes?** We update the actor. **โ“ What format can I download?** CSV, Excel, JSON, JSONL, XML, RSS, HTML straight from the Apify dataset UI. ### ๐Ÿ”Œ Integrate with any app Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint. ### ๐Ÿ”— Recommended Actors | Actor | What it does | |---|---| | [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Global market data and FX. | | [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. | | [ParseForge NBA Stats Scraper](https://apify.com/parseforge/nba-stats-scraper) | Player and team stats. | | [ParseForge CurseForge Mods Scraper](https://apify.com/parseforge/curseforge-mods-scraper) | Public mod metadata. | > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records. *** **Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp). # Actor input Schema ## `stationId` (type: `string`): Optional AEMET station code. Leave empty to fetch all stations (latest observation). ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## Actor input object example ```json { "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/aemet-spain-weather-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${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 } # Run the Actor and wait for it to finish run = client.actor("parseforge/aemet-spain-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 }' | apify call parseforge/aemet-spain-weather-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/aemet-spain-weather-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AEMET Spain Weather Scraper", "description": "Tap AEMET OpenData for the latest conventional observations from Spanish weather stations, including temperature, humidity, wind, pressure, and station metadata. Pass a station code or pull every station at once. Useful for climate analytics, agriculture, and travel planning.", "version": "0.1", "x-build-id": "kvYZ3xO8hWJbpscQ9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~aemet-spain-weather-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-aemet-spain-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~aemet-spain-weather-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-aemet-spain-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~aemet-spain-weather-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-aemet-spain-weather-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "stationId": { "title": "Station ID", "type": "string", "description": "Optional AEMET station code. Leave empty to fetch all stations (latest observation)." }, "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" } } }, "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 } } } } } } } } } } ```