# Windfinder Scraper (`lulzasaur/windfinder-scraper`) Actor Scrape wind and weather forecasts from Windfinder. Get wind speed, gusts, direction, temperature, cloud cover, precipitation for 120,000+ spots worldwide. - **URL**: https://apify.com/lulzasaur/windfinder-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ## Windfinder Scraper Scrape wind and weather forecast data from [Windfinder](https://www.windfinder.com) (windfinder.com). Get wind speed, gusts, direction, temperature, cloud cover, precipitation, and wave height for 120,000+ spots worldwide. ### What data can you get? #### Spot information - Spot name, country, region - Latitude and longitude coordinates #### Current conditions - Wind speed (knots) - Wind gust speed (knots) - Wind direction - Temperature (Celsius) #### Forecast data (multiple time slots per day) - Wind speed and gust in knots - Wind direction (cardinal: N, NE, SSW, etc.) - Temperature in Celsius - Cloud cover percentage - Precipitation in mm - Wave height in meters (coastal spots) ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `locations` | string[] | `["san_francisco"]` | Spot names or URLs. Use Windfinder spot slugs like `san_francisco`, `tarifa`, `maui`. | | `forecastType` | string | `"forecast"` | Forecast type: `forecast` (standard), `superforecast` (1h resolution), `windguru` (advanced). | | `limit` | integer | `0` | Max spots to scrape (0 = unlimited). | | `proxyConfiguration` | object | -- | Proxy settings. | ### Example locations - `san_francisco` - San Francisco, California - `tarifa` - Tarifa, Spain (kitesurfing hotspot) - `cape_town` - Cape Town, South Africa - `maui` - Maui, Hawaii - `lake_garda_torbole` - Lake Garda, Italy ### Output example ```json { "url": "https://www.windfinder.com/forecast/san_francisco", "spotName": "San Francisco", "country": "United States", "region": "California", "latitude": 37.775, "longitude": -122.418, "currentWindSpeed": 12, "currentWindGust": 18, "currentWindDirection": "W", "currentTemp": 16, "totalForecasts": 42, "forecasts": [ { "date": "Mon 27", "time": "10h", "windSpeedKnots": 14, "windGustKnots": 20, "windDirection": "WSW", "tempCelsius": 16, "cloudCoverPercent": 40, "precipitationMm": 0.0, "waveHeightM": 1.2 } ], "forecastType": "forecast", "scrapedAt": "2026-04-26T12:00:00.000Z" } ```` ### Cost This actor uses pay-per-event pricing. You are charged $0.005 per spot scraped. ### Tips - Wind speed is reported in **knots** (1 knot = 1.15 mph = 1.85 km/h). - Use `superforecast` for hourly resolution data (best for kitesurfing, sailing, paragliding planning). - Windfinder has 120,000+ spots including beaches, lakes, mountains, and airports. - For wave data, use coastal spots. Inland spots will have null wave heights. # Actor input Schema ## `locations` (type: `array`): List of spot names or URLs (e.g. 'san\_francisco' or '/forecast/san\_francisco'). One per line. ## `forecastType` (type: `string`): Type of forecast page to scrape. ## `limit` (type: `integer`): Maximum number of spots to scrape (0 = unlimited). ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "locations": [ "san_francisco" ], "forecastType": "forecast", "limit": 0 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/windfinder-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/windfinder-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 '{}' | apify call lulzasaur/windfinder-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/windfinder-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Windfinder Scraper", "description": "Scrape wind and weather forecasts from Windfinder. Get wind speed, gusts, direction, temperature, cloud cover, precipitation for 120,000+ spots worldwide.", "version": "1.0", "x-build-id": "Vw0NaLLTXpLthAYU5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~windfinder-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-windfinder-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~windfinder-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-windfinder-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~windfinder-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-windfinder-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "locations": { "title": "Locations", "type": "array", "description": "List of spot names or URLs (e.g. 'san_francisco' or '/forecast/san_francisco'). One per line.", "default": [ "san_francisco" ], "items": { "type": "string" } }, "forecastType": { "title": "Forecast Type", "enum": [ "forecast", "superforecast", "windguru" ], "type": "string", "description": "Type of forecast page to scrape.", "default": "forecast" }, "limit": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of spots to scrape (0 = unlimited).", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```