# Weather Underground Scraper (`lulzasaur/wunderground-scraper`) Actor Scrape weather data from Weather Underground. Get current conditions, 15-day forecasts, hourly data, temperature, humidity, wind, UV index, moon phase, sunrise/sunset for any location. - **URL**: https://apify.com/lulzasaur/wunderground-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 0 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 ## Weather Underground Scraper Scrape weather data from [Weather Underground](https://www.wunderground.com) (wunderground.com). Get current conditions, 15-day forecasts, hourly data, temperature, humidity, wind speed, UV index, moon phase, sunrise/sunset for any location worldwide. ### What data can you get? #### Current conditions - Temperature and "feels like" - Weather condition (sunny, cloudy, rain, etc.) - Humidity, dew point, pressure - Wind speed and direction - UV index - Visibility #### Daily forecast (up to 15 days) - High and low temperatures - Day of week - Weather narrative/description - Sunrise and sunset times - Moon phase - Humidity and precipitation - Weather icon codes #### Hourly forecast (optional, up to 48 hours) - Temperature and feels like - Wind speed and direction - Precipitation chance - Humidity - Weather condition ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `locations` | string[] | `["/weather/us/ca/san-francisco"]` | Location URLs or paths. Use full URLs or paths like `/weather/us/ca/san-francisco`. | | `forecastDays` | integer | `10` | Number of forecast days (1-15). | | `includeHourly` | boolean | `false` | Include hourly forecast data (up to 48 hours). | | `limit` | integer | `0` | Max locations to scrape (0 = unlimited). | | `proxyConfiguration` | object | -- | Proxy settings. | ### Example locations - `/weather/us/ca/san-francisco` - San Francisco, CA - `/weather/us/ny/new-york-city` - New York City, NY - `/weather/gb/london` - London, UK - `/weather/jp/tokyo` - Tokyo, Japan ### Output example ```json { "url": "https://www.wunderground.com/weather/us/ca/san-francisco", "city": "San Francisco", "state": "CA", "country": "US", "latitude": 37.775, "longitude": -122.418, "currentTemp": 62, "currentTempRaw": "62°", "condition": "Partly Cloudy", "feelsLike": "Day 65° / Night 55°", "humidity": "72%", "windSpeed": "W 12 mph", "uvIndex": "3 of 11", "uvIndexNum": 3, "pressure": "30.01 in", "visibility": "10 mi", "forecastDays": 10, "forecast": [ { "dayOfWeek": "Monday", "tempHigh": 65, "tempLow": 54, "narrative": "Partly cloudy skies. High 65F. Winds W at 10 to 20 mph.", "sunrise": "2026-04-27T06:22:00-0700", "sunset": "2026-04-27T19:58:00-0700", "moonPhase": "Waxing Crescent", "humidity": 68, "precipitation": 0.0 } ], "scrapedAt": "2026-04-26T12:00:00.000Z" } ```` ### Cost This actor uses pay-per-event pricing. You are charged $0.005 per location scraped. ### Tips - Weather Underground has excellent coverage worldwide. Use the site to find the correct URL path for your location. - Hourly forecasts provide the most granular data but increase output size significantly. - For bulk weather monitoring, use proxies to avoid rate limiting. # Actor input Schema ## `locations` (type: `array`): List of location URLs or city paths (e.g. '/weather/us/ca/san-francisco' or full URL). One per line. ## `forecastDays` (type: `integer`): Number of forecast days to include (1-15). ## `includeHourly` (type: `boolean`): Include hourly forecast data (increases output size). ## `limit` (type: `integer`): Maximum number of locations to scrape (0 = unlimited). ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "locations": [ "/weather/us/ca/san-francisco" ], "forecastDays": 10, "includeHourly": false, "limit": 0 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/wunderground-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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/wunderground-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/wunderground-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/wunderground-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Weather Underground Scraper", "description": "Scrape weather data from Weather Underground. Get current conditions, 15-day forecasts, hourly data, temperature, humidity, wind, UV index, moon phase, sunrise/sunset for any location.", "version": "1.0", "x-build-id": "CyhhFZ0NzGD4gBSJC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~wunderground-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-wunderground-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~wunderground-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-wunderground-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~wunderground-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-wunderground-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 location URLs or city paths (e.g. '/weather/us/ca/san-francisco' or full URL). One per line.", "default": [ "/weather/us/ca/san-francisco" ], "items": { "type": "string" } }, "forecastDays": { "title": "Forecast Days", "minimum": 1, "maximum": 15, "type": "integer", "description": "Number of forecast days to include (1-15).", "default": 10 }, "includeHourly": { "title": "Include Hourly Forecast", "type": "boolean", "description": "Include hourly forecast data (increases output size).", "default": false }, "limit": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of locations 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 } } } } } } } } } } ```