# Hiking Trails Worldwide Scraper (OSM) (`piquno/hiking-trails-worldwide-scraper`) Actor Scrape hiking trails worldwide from OpenStreetMap via Overpass API. Search by country, region, or bounding box. Get multilingual names, GPS routes, length, trail markers and Wikipedia links for hundreds of thousands of trails. No API key. Data under ODbL. - **URL**: https://apify.com/piquno/hiking-trails-worldwide-scraper.md - **Developed by:** [Piquno](https://apify.com/piquno) (community) - **Categories:** Travel, Other - **Stats:** 2 total users, 1 monthly users, 14.3% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 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 Trails Worldwide Scraper Scrape hiking trails from **OpenStreetMap** via the Overpass API. Search by country, region/state/city, or a custom bounding box. Get structured data on hundreds of thousands of hiking trails worldwide — names in multiple languages, GPS routes, length, trail markers, operator details, Wikipedia links, and more. ✅ **Open data** — built on OpenStreetMap, licensed under the [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/). No legal grey area, no terms-of-service issues. ✅ **Truly global** — coverage spans Europe (incredibly dense), Japan (excellent), New Zealand, Australia, the Americas, and most national parks worldwide. ✅ **No API key required** — uses the public Overpass API. ### Features - **Search modes**: country (e.g. "Japan"), ISO code (e.g. "NZ"), region/state (e.g. "Bavaria", "California"), or bounding box - **Route types**: hiking trails (`route=hiking`), walking routes (`route=foot`), or both - **Network filtering**: only international trails (Camino, Appalachian Trail-tier), national trails (Te Araroa, Kumano Kodo), regional, or all local trails - **Length filtering**: min/max km to exclude short paths or epic thru-hikes - **Multilingual names**: pick a preferred language; original local names always preserved - **GPS geometry**: optionally include the full waypoint sequence for each trail - **Trail metadata**: colour, trail markers (osmc:symbol), operator, fees, opening hours, Wikipedia, Wikidata ### Example output ```json { "osm_id": 173345, "osm_url": "https://www.openstreetmap.org/relation/173345", "name": "Tongariro Northern Circuit", "name_local": "Tongariro Northern Circuit", "name_alternatives": { "en": "Tongariro Northern Circuit", "mi": "Te Awahohonu" }, "ref": "GW02", "route_type": "hiking", "network": "national", "network_tag": "nwn", "operator": "Department of Conservation", "description": "One of New Zealand's Great Walks, a 4-day loop around Mt Ngauruhoe.", "length_km": 44.213, "roundtrip": true, "start_point": {"lat": -39.197691, "lon": 175.5459621}, "end_point": {"lat": -39.1995736, "lon": 175.5428742}, "bbox": {"south": -39.2124, "west": 175.5417, "north": -39.1322, "east": 175.6892}, "way_segments": 56, "website": "https://www.doc.govt.nz/...", "wikipedia_url": "https://en.wikipedia.org/wiki/Tongariro_Northern_Circuit", "wikidata_url": "https://www.wikidata.org/wiki/Q1258134", "gpx_url": "https://hiking.waymarkedtrails.org/api/v1/details/relation/173345/gpx", "source": "openstreetmap.org", "license": "ODbL - © OpenStreetMap contributors", "scraped_at": "2026-05-11T09:20:35Z" } ```` ### Usage examples **All hiking trails in New Zealand (national and above)**: ```json { "search_mode": "iso_code", "iso_code": "NZ", "min_network_level": "national", "max_results": 100 } ``` **Hiking trails in California with GPS geometry**: ```json { "search_mode": "region", "region": "California", "min_network_level": "regional", "include_geometry": true, "min_length_km": 5, "max_results": 200 } ``` **All hiking and walking routes in a custom bounding box**: ```json { "search_mode": "bbox", "bbox_south": 45.85, "bbox_west": 6.85, "bbox_north": 45.95, "bbox_east": 6.95, "route_types": ["hiking", "foot"], "max_results": 500 } ``` **Long-distance trails worldwide (international tier)**: ```json { "search_mode": "country", "country": "Spain", "min_network_level": "international", "min_length_km": 100 } ``` ### Tips - **Don't know a country's ISO code?** Use search mode "country" with the English name, or look it up: NZ, US, JP, FR, AU, GB, CA, DE, IT, ES, MX, AR, CL, PE, NO, SE, FI, IS, NP, ZA. - **For regions**, try the local-language name if the English one doesn't work (e.g. "Bayern" instead of "Bavaria", "Hokkaidō" instead of "Hokkaido"). - **Looking for famous long-distance trails?** Set `min_network_level` to `national` or `international`, and `min_length_km` to 50+ to filter out short connectors. - **Include unnamed trails** only if you specifically need exhaustive path coverage — unnamed paths often lack descriptions and quality varies. - **GPS geometry is heavy** — a single 100 km trail can have thousands of waypoints. Disable `include_geometry` for lightweight metadata-only runs. ### Data quality and coverage OpenStreetMap is a community-edited dataset. Coverage varies by region: - **Excellent**: Western & Northern Europe, Japan, Switzerland, Austria, Germany, the Alps generally - **Very good**: New Zealand, Australia, Canada, US national parks, Andes (Argentina/Chile), Scandinavia - **Good and growing**: South America, South Africa, Eastern Europe, South Korea - **Sparse**: Some parts of Africa, Central Asia, Pacific islands Trail metadata (descriptions, length tags, opening hours) is more complete on popular and signposted trails than on local paths. ### Cost estimate This Actor is light on compute — Overpass returns structured JSON in one or a few queries: - **100 trails (metadata only)**: ~$0.02 platform usage - **500 trails (metadata only)**: ~$0.05 platform usage - **100 trails (with GPS geometry)**: ~$0.05 platform usage - **500 trails (with GPS geometry)**: ~$0.15 platform usage ### Attribution All data is © OpenStreetMap contributors and provided under the [Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/). When you use this data, **you must credit OpenStreetMap**. A simple "© OpenStreetMap contributors" notice is enough for most uses. Read more: . # Actor input Schema ## `search_mode` (type: `string`): Search by country/region name, ISO country code, or a custom bounding box. ## `country` (type: `string`): Country name in English (only used if Search mode = 'country'). Examples: 'New Zealand', 'Japan', 'France', 'United States', 'Australia'. ## `iso_code` (type: `string`): ISO 3166-1 alpha-2 country code (only used if Search mode = 'iso\_code'). Examples: NZ, US, JP, FR, AU, GB, CA, DE, IT, ES. ## `region` (type: `string`): Region, state, prefecture, or city name (only used if Search mode = 'region'). Examples: 'Bavaria', 'California', 'Hokkaido', 'Patagonia'. ## `bbox_south` (type: `integer`): South (minimum) latitude. Used only if Search mode = 'bbox'. Example: 45 for southern France. ## `bbox_west` (type: `integer`): West (minimum) longitude. Used only if Search mode = 'bbox'. Example: 6 for southern France. ## `bbox_north` (type: `integer`): North (maximum) latitude. Used only if Search mode = 'bbox'. Example: 46. ## `bbox_east` (type: `integer`): East (maximum) longitude. Used only if Search mode = 'bbox'. Example: 7. ## `route_types` (type: `array`): Which OSM route types to include. 'hiking' = dedicated hiking trails. 'foot' = general walking/pedestrian routes (broader, includes urban walks). ## `min_network_level` (type: `string`): Filter by trail importance. 'international' = major cross-border trails only. 'national' = country-wide trails and up. 'regional' = regional trails and up. 'local' = include all (most results). ## `include_unnamed` (type: `boolean`): If enabled, include hiking routes that don't have a name tag. Many local hiking paths lack names, so this can dramatically increase results but reduce data quality. ## `min_length_km` (type: `integer`): Filter out trails shorter than this length in kilometres. Set to 0 to disable. ## `max_length_km` (type: `integer`): Filter out trails longer than this length in kilometres. Set to 0 to disable. ## `include_geometry` (type: `boolean`): If enabled, include the full list of GPS waypoints (lat/lon pairs) for each trail. Increases payload significantly for long trails (can be thousands of points). Disable for lightweight metadata-only output. ## `preferred_language` (type: `string`): ISO language code. If a trail has a name in this language (e.g. name:en), that becomes the primary 'name' field. Original local name is preserved in 'name\_local'. Examples: en, fr, de, ja, es, it, zh. ## `max_results` (type: `integer`): Maximum number of trails to return. ## Actor input object example ```json { "search_mode": "country", "country": "New Zealand", "iso_code": "NZ", "region": "Bavaria", "bbox_south": 45, "bbox_west": 6, "bbox_north": 46, "bbox_east": 7, "route_types": [ "hiking" ], "min_network_level": "local", "include_unnamed": false, "min_length_km": 0, "max_length_km": 0, "include_geometry": false, "preferred_language": "en", "max_results": 100 } ``` # 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("piquno/hiking-trails-worldwide-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("piquno/hiking-trails-worldwide-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 piquno/hiking-trails-worldwide-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piquno/hiking-trails-worldwide-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hiking Trails Worldwide Scraper (OSM)", "description": "Scrape hiking trails worldwide from OpenStreetMap via Overpass API. Search by country, region, or bounding box. Get multilingual names, GPS routes, length, trail markers and Wikipedia links for hundreds of thousands of trails. No API key. Data under ODbL.", "version": "1.0", "x-build-id": "IfDst9IcAk6OYUjb2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piquno~hiking-trails-worldwide-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piquno-hiking-trails-worldwide-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piquno~hiking-trails-worldwide-scraper/runs": { "post": { "operationId": "runs-sync-piquno-hiking-trails-worldwide-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piquno~hiking-trails-worldwide-scraper/run-sync": { "post": { "operationId": "run-sync-piquno-hiking-trails-worldwide-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search_mode" ], "properties": { "search_mode": { "title": "Search mode", "enum": [ "country", "iso_code", "region", "bbox" ], "type": "string", "description": "Search by country/region name, ISO country code, or a custom bounding box.", "default": "country" }, "country": { "title": "Country name", "type": "string", "description": "Country name in English (only used if Search mode = 'country'). Examples: 'New Zealand', 'Japan', 'France', 'United States', 'Australia'.", "default": "New Zealand" }, "iso_code": { "title": "ISO country code", "type": "string", "description": "ISO 3166-1 alpha-2 country code (only used if Search mode = 'iso_code'). Examples: NZ, US, JP, FR, AU, GB, CA, DE, IT, ES.", "default": "NZ" }, "region": { "title": "Region / state / city name", "type": "string", "description": "Region, state, prefecture, or city name (only used if Search mode = 'region'). Examples: 'Bavaria', 'California', 'Hokkaido', 'Patagonia'.", "default": "Bavaria" }, "bbox_south": { "title": "Bounding box - South latitude", "minimum": -90, "maximum": 90, "type": "integer", "description": "South (minimum) latitude. Used only if Search mode = 'bbox'. Example: 45 for southern France.", "default": 45 }, "bbox_west": { "title": "Bounding box - West longitude", "minimum": -180, "maximum": 180, "type": "integer", "description": "West (minimum) longitude. Used only if Search mode = 'bbox'. Example: 6 for southern France.", "default": 6 }, "bbox_north": { "title": "Bounding box - North latitude", "minimum": -90, "maximum": 90, "type": "integer", "description": "North (maximum) latitude. Used only if Search mode = 'bbox'. Example: 46.", "default": 46 }, "bbox_east": { "title": "Bounding box - East longitude", "minimum": -180, "maximum": 180, "type": "integer", "description": "East (maximum) longitude. Used only if Search mode = 'bbox'. Example: 7.", "default": 7 }, "route_types": { "title": "Route types to include", "type": "array", "description": "Which OSM route types to include. 'hiking' = dedicated hiking trails. 'foot' = general walking/pedestrian routes (broader, includes urban walks).", "items": { "type": "string", "enum": [ "hiking", "foot" ] }, "default": [ "hiking" ] }, "min_network_level": { "title": "Minimum network classification", "enum": [ "international", "national", "regional", "local" ], "type": "string", "description": "Filter by trail importance. 'international' = major cross-border trails only. 'national' = country-wide trails and up. 'regional' = regional trails and up. 'local' = include all (most results).", "default": "local" }, "include_unnamed": { "title": "Include unnamed trails", "type": "boolean", "description": "If enabled, include hiking routes that don't have a name tag. Many local hiking paths lack names, so this can dramatically increase results but reduce data quality.", "default": false }, "min_length_km": { "title": "Minimum trail length (km)", "minimum": 0, "type": "integer", "description": "Filter out trails shorter than this length in kilometres. Set to 0 to disable.", "default": 0 }, "max_length_km": { "title": "Maximum trail length (km)", "minimum": 0, "type": "integer", "description": "Filter out trails longer than this length in kilometres. Set to 0 to disable.", "default": 0 }, "include_geometry": { "title": "Include GPS geometry (waypoints)", "type": "boolean", "description": "If enabled, include the full list of GPS waypoints (lat/lon pairs) for each trail. Increases payload significantly for long trails (can be thousands of points). Disable for lightweight metadata-only output.", "default": false }, "preferred_language": { "title": "Preferred language for trail names", "type": "string", "description": "ISO language code. If a trail has a name in this language (e.g. name:en), that becomes the primary 'name' field. Original local name is preserved in 'name_local'. Examples: en, fr, de, ja, es, it, zh.", "default": "en" }, "max_results": { "title": "Maximum results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of trails to return.", "default": 100 } } }, "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 } } } } } } } } } } ```