# Mountain Forecast Scraper - Peak Weather & Snow Data (`lulzasaur/mountain-forecast-scraper`) Actor Scrape mountain weather forecasts from Mountain-Forecast.com. Get multi-day forecasts with temperature, wind, snow, rain, freezing level, and weather conditions for 17,000+ peaks across 120 countries. - **URL**: https://apify.com/lulzasaur/mountain-forecast-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 $5.00 / 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 ## Mountain Forecast Scraper Scrape mountain weather forecasts from [Mountain-Forecast.com](https://www.mountain-forecast.com/). Extract multi-day weather data for 17,000+ mountain peaks across 120+ countries. ### Features - Search peaks by name using Mountain-Forecast.com's search API - Basic metadata mode: peak name, elevation, coordinates, mountain range, difficulty - Detailed forecast mode: multi-day period-by-period weather data (AM, PM, night) - Temperature (max, min, wind chill), wind speed and direction - Snowfall (cm), rainfall (mm), freezing level, cloud base - Sunrise/sunset times, weather summaries - Multiple elevation levels per peak - Deduplication across search queries - Pay-per-event pricing ### Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | string[] | Mountain/peak names to search. Examples: `Everest`, `Mont Blanc`, `Kilimanjaro` | | `maxListings` | integer | Maximum peaks to scrape (default: 50, 0 = unlimited) | | `scrapeDetails` | boolean | If true, fetches full multi-day forecast data. If false, returns basic peak metadata only. Default: false | | `proxyConfiguration` | object | Optional proxy settings | ### Example Input #### Quick metadata search ```json { "searchQueries": ["Everest", "K2", "Mont Blanc"], "maxListings": 10, "scrapeDetails": false } ```` #### Full forecast data ```json { "searchQueries": ["Everest"], "maxListings": 5, "scrapeDetails": true } ``` ### Output #### Basic mode (scrapeDetails: false) ```json { "peakName": "Mount Everest", "elevation": 8850, "country": "Nepal", "countryIso": "NP", "region": "Greater Himalaya", "subRegion": "Central Nepal Himalaya", "latitude": 27.99, "longitude": 86.93, "difficulty": "Major Mountain Expedition", "bestMonths": "April, May", "convenientCenter": "Namche Bazar, Nepal", "url": "https://www.mountain-forecast.com/peaks/Mount-Everest", "searchQuery": "everest", "scrapedAt": "2026-04-26T12:00:00.000Z" } ``` #### Detailed mode (scrapeDetails: true) ```json { "peakName": "Mount Everest", "elevation": 8850, "country": "Nepal", "latitude": 27.99, "longitude": 86.93, "currentTemp": -28, "windSpeed": 15, "windDirection": "WSW", "precipitation": 0, "snowfall": 0, "cloudCover": "clear", "freezingLevel": 4800, "elevationLevels": [8850, 8000, 7000, 6000, 5000, 4000], "summaries": [ { "title": "Days 1-3 Weather Summary", "text": "A dusting of new snow..." } ], "forecast": [ { "date": "2026-04-26", "dayName": "Saturday", "timePeriod": "AM", "weatherPhrase": "clear", "tempMaxC": -28, "tempMinC": -28, "windChillC": -38, "windSpeedKmh": 15, "windDirection": "WSW", "snowCm": 0, "rainMm": 0, "freezingLevelM": 4800, "cloudBaseM": null, "sunrise": "5:22", "sunset": null } ], "sunrise": "5:22", "sunset": "6:28", "url": "https://www.mountain-forecast.com/peaks/Mount-Everest/forecasts/8850", "searchQuery": "everest", "scrapedAt": "2026-04-26T12:00:00.000Z" } ``` ### Forecast Periods Each day includes up to 3 forecast periods: - **AM** - Morning forecast - **PM** - Afternoon forecast - **night** - Overnight forecast Typically 6 days of forecast data are available (18 time periods total). ### Use Cases - **Mountaineering planning**: Check summit conditions before a climb - **Ski resort monitoring**: Track snow forecasts for multiple peaks - **Weather dashboards**: Aggregate mountain weather across regions - **Research**: Analyze weather patterns across mountain ranges - **Outdoor apps**: Feed real-time mountain forecasts into your application - **Travel planning**: Check conditions at popular hiking destinations ### Notes - Wind speed is in km/h, temperatures in Celsius, snow in cm, rain in mm, elevations in meters - The `elevationLevels` array shows all available forecast altitudes for each peak - Extended forecast data (days 4-7) may have limited availability for some peaks - The search API returns both direct matches and nearby peaks ### Cost This actor uses pay-per-event pricing. You are charged per mountain forecast result returned. # Actor input Schema ## `searchQueries` (type: `array`): Mountain or peak names to search for. Uses Mountain-Forecast.com's search API to find matching peaks. Examples: 'Everest', 'Mont Blanc', 'Kilimanjaro', 'Denali'. ## `maxListings` (type: `integer`): Maximum number of mountain peaks to scrape. Set to 0 for unlimited. ## `scrapeDetails` (type: `boolean`): If enabled, visits each peak's forecast page to extract full multi-day weather data (temperature, wind, snow, rain, freezing level per time period). If disabled, returns basic peak metadata only (name, elevation, coordinates, region). ## `proxyConfiguration` (type: `object`): Proxy settings. Not required but recommended for large-scale runs. ## Actor input object example ```json { "searchQueries": [ "Everest" ], "maxListings": 50, "scrapeDetails": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "searchQueries": [ "Everest" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/mountain-forecast-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 = { "searchQueries": ["Everest"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/mountain-forecast-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 '{ "searchQueries": [ "Everest" ] }' | apify call lulzasaur/mountain-forecast-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/mountain-forecast-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mountain Forecast Scraper - Peak Weather & Snow Data", "description": "Scrape mountain weather forecasts from Mountain-Forecast.com. Get multi-day forecasts with temperature, wind, snow, rain, freezing level, and weather conditions for 17,000+ peaks across 120 countries.", "version": "1.0", "x-build-id": "fkCkkRQ806kUQRBbG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~mountain-forecast-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-mountain-forecast-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~mountain-forecast-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-mountain-forecast-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~mountain-forecast-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-mountain-forecast-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Mountain / Peak Names", "type": "array", "description": "Mountain or peak names to search for. Uses Mountain-Forecast.com's search API to find matching peaks. Examples: 'Everest', 'Mont Blanc', 'Kilimanjaro', 'Denali'.", "default": [ "Everest" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Listings", "minimum": 0, "type": "integer", "description": "Maximum number of mountain peaks to scrape. Set to 0 for unlimited.", "default": 50 }, "scrapeDetails": { "title": "Scrape Forecast Details", "type": "boolean", "description": "If enabled, visits each peak's forecast page to extract full multi-day weather data (temperature, wind, snow, rain, freezing level per time period). If disabled, returns basic peak metadata only (name, elevation, coordinates, region).", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Not required but recommended for large-scale runs.", "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 } } } } } } } } } } ```