# AllTrails MCP Server (`axlymxp/alltrails-mcp-server`) Actor MCP server + scraper for AllTrails. Search hiking trails, fetch full details, reviews and weather live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic scraper. - **URL**: https://apify.com/axlymxp/alltrails-mcp-server.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Travel, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## AllTrails MCP Server Give your AI assistant live access to **AllTrails** hiking data. This actor runs as a **Model Context Protocol (MCP) server** so agents like **Claude, ChatGPT, Cursor, and n8n** can search trails, pull full trail details, read reviews, check weather, and autocomplete places — on demand. It also runs as a **classic scraper** that pushes trail rows to a dataset. ### Why MCP Instead of pre-scraping and storing data, your agent queries AllTrails live while it reasons — perfect for trip-planning assistants, outdoor chatbots, and research copilots. No other AllTrails MCP server exists on the Store. ### Tools exposed | Tool | What it does | | ------------------- | ------------------------------------------------------------------------------------------------ | | `search_trails` | Search trails by place name or lat/lng — length, elevation, difficulty, GPS, rating, activities | | `get_trail_details` | Full description, highlights, tips, getting-there, parking, points of interest, rating breakdown | | `get_trail_reviews` | Recent user reviews for a trail (sortable) | | `get_trail_weather` | Multi-day weather forecast for a trail | | `suggest_places` | Autocomplete places, parks and trails for a partial query | ### Who it's for - **AI app builders** — add trail search + detail to an assistant with a few MCP tools. - **Trip-planning bots** — combine `search_trails` + `get_trail_weather` for weather-aware suggestions. - **Outdoor content copilots** — pull descriptions and reviews on demand. ### Connect your agent Run the actor in **Standby mode** and point your MCP client at the server URL: ```` https:///mcp ```` Example (Claude Desktop `mcp` config): ```json { "mcpServers": { "alltrails": { "url": "https:///mcp", "headers": { "Authorization": "Bearer " } } } } ```` Then ask: *"Find moderate trails near Lake Tahoe with great views, and check the weather for the top one."* ### Classic scraper mode Run it normally with an input (place, coordinates, filters) and it pushes trail rows to the dataset — same fields as the AllTrails Trail Scraper. #### Output fields (dataset mode) | Field | Type | Description | | ---------------------------------------- | ---------- | ---------------------- | | `id` | int | Trail ID | | `name` | string | Trail name | | `url` | string | AllTrails URL | | `latitude` / `longitude` | number | Trailhead GPS | | `areaName` / `stateName` / `countryName` | string | Location | | `lengthMiles` | number | Length | | `elevationGainMeters` | number | Elevation gain | | `difficulty` | string | easy / moderate / hard | | `avgRating` / `numReviews` | number/int | Community rating | | `activities` / `features` | array | Tags | | `scrapedAt` | string | Timestamp | ### Example input (classic run) ```json { "query": "Yosemite National Park", "maxItems": 10, "sort": "most_popular" } ``` ### FAQ **Do I need a login or proxy?** No — the actor handles AllTrails' anti-bot automatically and needs no account. **How fresh is the data?** Every tool call fetches live data. **What data source is used?** AllTrails' public mobile API — the same data the app shows. **Is scraping legal?** You are responsible for complying with AllTrails' terms and applicable laws. Use the data responsibly. # Actor input Schema ## `query` (type: `string`): Location to search around, e.g. "Yosemite National Park". Used only for a classic run. ## `latitude` (type: `number`): Search-center latitude (overrides query with longitude). ## `longitude` (type: `number`): Search-center longitude (overrides query with latitude). ## `maxItems` (type: `integer`): Trails to return in a classic run. ## `sort` (type: `string`): How to order results. ## `difficulty` (type: `array`): Only include trails of these difficulties. ## `minRating` (type: `number`): Only include trails rated >= this (0–5). ## Actor input object example ```json { "query": "Yosemite National Park", "maxItems": 30, "sort": "best_match", "difficulty": [] } ``` # 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 = { "query": "Yosemite National Park" }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/alltrails-mcp-server").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 = { "query": "Yosemite National Park" } # Run the Actor and wait for it to finish run = client.actor("axlymxp/alltrails-mcp-server").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 '{ "query": "Yosemite National Park" }' | apify call axlymxp/alltrails-mcp-server --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/alltrails-mcp-server", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AllTrails MCP Server", "description": "MCP server + scraper for AllTrails. Search hiking trails, fetch full details, reviews and weather live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic scraper.", "version": "1.0", "x-build-id": "0mNb2UDj7hhugZdoE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~alltrails-mcp-server/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-alltrails-mcp-server", "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/axlymxp~alltrails-mcp-server/runs": { "post": { "operationId": "runs-sync-axlymxp-alltrails-mcp-server", "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/axlymxp~alltrails-mcp-server/run-sync": { "post": { "operationId": "run-sync-axlymxp-alltrails-mcp-server", "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": { "query": { "title": "Place / area name", "type": "string", "description": "Location to search around, e.g. \"Yosemite National Park\". Used only for a classic run." }, "latitude": { "title": "Latitude", "type": "number", "description": "Search-center latitude (overrides query with longitude)." }, "longitude": { "title": "Longitude", "type": "number", "description": "Search-center longitude (overrides query with latitude)." }, "maxItems": { "title": "Max results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Trails to return in a classic run.", "default": 30 }, "sort": { "title": "Sort order", "enum": [ "best_match", "closest", "most_popular", "trending" ], "type": "string", "description": "How to order results.", "default": "best_match" }, "difficulty": { "title": "Difficulty filter", "type": "array", "description": "Only include trails of these difficulties.", "items": { "type": "string", "enum": [ "easy", "moderate", "hard" ], "enumTitles": [ "Easy", "Moderate", "Hard" ] }, "default": [] }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Only include trails rated >= this (0–5)." } } }, "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 } } } } } } } } } } ```