# Hiking Project Scraper (`lulzasaur/hikingproject-scraper`) Actor Scrapes hiking trail data from Hiking Project (hikingproject.com). Extracts trail name, difficulty, rating, elevation, length, route type, GPS coordinates, and more. Supports search by location or trail name. - **URL**: https://apify.com/lulzasaur/hikingproject-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 ## Hiking Project Scraper Scrapes hiking trail data from [Hiking Project](https://www.hikingproject.com) — one of the largest trail databases in the US with over 80,000 trails. ### What data does it extract? For each trail, the scraper extracts: | Field | Description | |-------|-------------| | `trailName` | Name of the hiking trail | | `location` | Geographic location (state, region, area) | | `difficulty` | Difficulty level (Easy, Intermediate, Difficult, etc.) | | `difficultyRating` | Numeric difficulty rating | | `length` | Trail length in miles | | `elevationGain` | Total elevation gain (detail mode) | | `highestPoint` | Highest elevation point (detail mode) | | `routeType` | Route type: Out and Back, Loop, Point to Point (detail mode) | | `rating` | User rating (0-5) | | `ratingCount` | Number of user ratings (detail mode) | | `description` | Trail overview/description | | `features` | Trail features and tags | | `imageUrl` | Trail photo URL | | `latitude` | GPS latitude | | `longitude` | GPS longitude | | `sourceUrl` | Direct link to the trail page | | `scrapedAt` | Timestamp of when the data was scraped | ### Input Configuration | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | string[] | `["Colorado"]` | Location or trail name search queries | | `maxListings` | integer | `50` | Maximum number of trails to scrape (max 1000) | | `scrapeDetails` | boolean | `false` | Fetch full details from each trail page | | `proxyConfiguration` | object | — | Proxy settings | #### Search tips - **By state**: `"Colorado"`, `"California"`, `"Utah"` - **By region**: `"Rocky Mountain"`, `"Yosemite"`, `"Grand Canyon"` - **By trail name**: `"Bear Peak"`, `"Manitou Incline"`, `"Ice Lake"` - **By city**: `"Boulder"`, `"Denver"`, `"Portland"` #### Detail mode When `scrapeDetails` is enabled, the scraper visits each trail's detail page to extract additional fields: - Elevation gain and highest point - Route type (Out and Back, Loop, etc.) - Number of user ratings - Full trail description - Trail features This is slower (adds ~1 second per trail) but provides more complete data. ### Example Output ```json { "trailName": "Ice Lake Trail", "location": "Colorado > Southwest Rockies > Silverton", "difficulty": "Difficult", "difficultyRating": 4.8, "length": "7.2 mi", "elevationGain": "2541 ft", "highestPoint": "12585 ft", "routeType": "Out and Back", "rating": 5, "ratingCount": 77, "description": "Ice Lake Trail is a stunning hike through beautiful wildflower meadows...", "features": [], "imageUrl": "https://hikingproject.com/assets/photos/hike/...", "latitude": 37.81, "longitude": -107.79, "sourceUrl": "https://www.hikingproject.com/trail/7009883/ice-lake-trail", "scrapedAt": "2026-04-26T07:30:00.000Z" } ```` ### Cost The scraper uses the Hiking Project search API for listing trails and optionally fetches detail pages. - **Listing only** (`scrapeDetails: false`): Very fast, ~1 API call per 25 trails - **With details** (`scrapeDetails: true`): 1 additional page load per trail Estimated cost: ~$0.005 per result (pay-per-event pricing). # Actor input Schema ## `searchQueries` (type: `array`): Location or trail name search queries (e.g., 'Colorado', 'Bear Peak', 'Yosemite') ## `maxListings` (type: `integer`): Maximum number of trail listings to scrape across all queries ## `scrapeDetails` (type: `boolean`): If enabled, fetches each trail's detail page for elevation gain, route type, features, and full description. Slower but more complete data. ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "searchQueries": [ "Colorado" ], "maxListings": 50, "scrapeDetails": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "Colorado" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/hikingproject-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": ["Colorado"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/hikingproject-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": [ "Colorado" ] }' | apify call lulzasaur/hikingproject-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/hikingproject-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiking Project Scraper", "description": "Scrapes hiking trail data from Hiking Project (hikingproject.com). Extracts trail name, difficulty, rating, elevation, length, route type, GPS coordinates, and more. Supports search by location or trail name.", "version": "1.0", "x-build-id": "w1jD47qxYKTq34MQg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~hikingproject-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-hikingproject-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~hikingproject-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-hikingproject-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~hikingproject-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-hikingproject-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Search Queries", "type": "array", "description": "Location or trail name search queries (e.g., 'Colorado', 'Bear Peak', 'Yosemite')", "default": [ "Colorado" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Listings", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of trail listings to scrape across all queries", "default": 50 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "If enabled, fetches each trail's detail page for elevation gain, route type, features, and full description. Slower but more complete data.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper" } } }, "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 } } } } } } } } } } ```