🏔️ AllTrails Scraper - Trail Data Extractor

🚀 Pull AllTrails hiking-trail data in minutes. Photos, ratings, reviews, difficulty, elevation. National parks, US states, cities, or custom coordinates. No login.

🕒 Last updated: 2026-05-08 · 📊 20+ fields per trail · 🌍 50+ regions · 🚫 No auth required

Pull live hiking-trail data from AllTrails, the largest community-driven trail directory in the world. The actor accepts a national park, US state, city, or custom coordinates and walks the AllTrails listings, fetches each trail's detail page, and returns one structured record per trail ready for travel apps, outdoor-marketing research, journalism, and outdoor-products workflows.

Every run fetches data live so you get the current state of AllTrails at run time. Records include trail name, description, hero photo, full image gallery, ratings and review count, difficulty level, length, elevation gain, route type, parking info, location, and the canonical AllTrails URL.

👥 Built for	🎯 Primary use cases
Travel and outdoor brands	Build location-aware trail content for marketing
Outdoor app developers	Power hike-discovery features without owning a crawler
Hospitality and tourism	Recommend nearby trails to lodge guests
Marketing and content teams	Create SEO content keyed to specific regions
Researchers	Study outdoor recreation trends and access
Outdoor retailers	Geo-target ads to popular trail areas

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📋 What the AllTrails Scraper does

• 🌲 Trail metadata. Name, description, length, elevation gain, route type (out-and-back, loop, point-to-point).
• ⭐ Ratings and reviews. Average rating and review count from AllTrails users.
• 📸 Image galleries. Hero photo plus a full gallery URL list.
• 🏞️ Difficulty. Easy, moderate, hard, plus the AllTrails difficulty score.
• 📍 Location detail. Latitude, longitude, region, park or city.
• 🅿️ Practical info. Parking, dogs allowed, kid-friendly, accessibility flags where AllTrails exposes them.

The scraper accepts a search-by mode (region, state, city, coordinates) plus the matching value (e.g. yosemite, Colorado, Denver, lat/long). It walks AllTrails result pages, fetches each trail's detail page, and pushes structured records to the dataset. You can also pass startUrl for direct ad-hoc scraping of any AllTrails URL.

💡 Why it matters: AllTrails has the most complete public trail catalog with millions of user-contributed records, but its UI is paginated and rate-limited and lacks bulk export. A live, structured pull beats manual collection for outdoor product, travel, and journalism workflows.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Maps via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
startUrl	string	Start URL	Optional. Any AllTrails URL (trail page, park, city, or explore page). When provided, all other filters are ignored.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
searchType	enum	Search By	region (national park), state (US state), city (city name), coordinates (lat/long).
region	enum	Region	National park or predefined region (yosemite, yellowstone, grand_canyon, etc.).
state	string	State	US state name (e.g. Colorado).
city	string	City	City name (e.g. Denver).
latitude	number	Latitude	Required when searchType=coordinates.
longitude	number	Longitude	Required when searchType=coordinates.
radiusKm	number	Radius (km)	Search radius around coordinates.

Example 1. All Yosemite trails.

{
  "searchType": "region",
  "region": "yosemite",
  "maxItems": 50
}

Example 2. Trails near custom coordinates within 25 km.

{
  "searchType": "coordinates",
  "latitude": 39.7392,
  "longitude": -104.9903,
  "radiusKm": 25,
  "maxItems": 100
}

⚠️ Good to Know: when startUrl is set, every other filter is ignored. Use it for ad-hoc scrapes from a specific AllTrails search or trail page.

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📊 Output

The dataset returns one structured record per hiking trail. Each record carries identifiers, name, description, location, length, elevation, difficulty, rating, image gallery, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 id	string	10003456
🏷️ name	string	Mist Trail to Vernal & Nevada Falls
📝 description	string	One of Yosemite's most popular hikes featuring cascading falls...
🖼️ imageUrl	string (url)	https://www.alltrails.com/photos/abc.jpg
🖼️ imageGallery	array	["https://...1.jpg", "https://...2.jpg"]
⭐ rating	number	4.8
💬 reviewCount	number	12450
🎯 difficulty	string	Hard
📏 lengthMiles	number	7.0
📏 lengthKm	number	11.3
⛰️ elevationGainFt	number	2099
🛤️ routeType	string	Out & Back
🏞️ area	string	Yosemite National Park
📍 state	string	California
🌍 country	string	United States
📍 latitude	number	37.7261
📍 longitude	number	-119.5587
🅿️ parking	string	Trailhead parking available
🐶 dogsAllowed	boolean	false
🚸 kidFriendly	boolean	false
🔗 url	string (url)	https://www.alltrails.com/trail/us/california/...
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (popular national park trail)

{
  "id": "10003456",
  "name": "Mist Trail to Vernal & Nevada Falls",
  "description": "One of Yosemite's most popular hikes featuring cascading falls and granite staircases.",
  "imageUrl": "https://www.alltrails.com/photos/mist-trail-hero.jpg",
  "imageGallery": [
    "https://www.alltrails.com/photos/mist-trail-1.jpg",
    "https://www.alltrails.com/photos/mist-trail-2.jpg"
  ],
  "rating": 4.8,
  "reviewCount": 12450,
  "difficulty": "Hard",
  "lengthMiles": 7.0,
  "lengthKm": 11.3,
  "elevationGainFt": 2099,
  "routeType": "Out & Back",
  "area": "Yosemite National Park",
  "state": "California",
  "country": "United States",
  "latitude": 37.7261,
  "longitude": -119.5587,
  "parking": "Trailhead parking available",
  "dogsAllowed": false,
  "kidFriendly": false,
  "url": "https://www.alltrails.com/trail/us/california/mist-trail-to-vernal-and-nevada-falls",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Easy local trail (city park)

{
  "id": "20445566",
  "name": "Cherry Creek Trail",
  "description": "Paved urban trail along Cherry Creek through Denver's downtown core.",
  "imageUrl": "https://www.alltrails.com/photos/cherry-creek-hero.jpg",
  "rating": 4.5,
  "reviewCount": 1820,
  "difficulty": "Easy",
  "lengthMiles": 12.5,
  "lengthKm": 20.1,
  "elevationGainFt": 95,
  "routeType": "Point to Point",
  "area": "Denver",
  "state": "Colorado",
  "country": "United States",
  "latitude": 39.7392,
  "longitude": -104.9903,
  "dogsAllowed": true,
  "kidFriendly": true,
  "url": "https://www.alltrails.com/trail/us/colorado/cherry-creek-trail",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (lesser-known trail)

{
  "id": "30778899",
  "name": "Boulder Creek Path",
  "rating": 4.2,
  "reviewCount": 45,
  "difficulty": "Easy",
  "lengthMiles": 2.8,
  "lengthKm": 4.5,
  "routeType": "Loop",
  "area": "Boulder",
  "state": "Colorado",
  "country": "United States",
  "url": "https://www.alltrails.com/trail/us/colorado/boulder-creek-path",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to AllTrails so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects AllTrails as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured trail data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ AllTrails Scraper (this Actor)	$5 free credit, then pay-per-use	Full AllTrails catalog	Live per run	Region, state, city, coordinates	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid trail-data APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Manual research	Hours per trail	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the AllTrails Scraper page on the Apify Store.
3. 🎯 Set filters. Pick a search type and matching location, then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Travel and tourism Build location-aware hiking content for travel sites Recommend trails near hotels and resorts Power "things to do" sections in destination guides Map trail density for travel-product launches	🏢 Outdoor brands and retail Geo-target ads to high-traffic trail areas Build segmentation by trail-difficulty preference Surface seasonal demand by region Power influencer outreach by location
🎯 App and product Power hike-discovery features in fitness apps Build proximity-based trail recommendation engines Power gamified achievement systems for hikers Source images for outdoor content products	🛠️ Engineering and product Prototype outdoor-data products without owning a crawler Replace fragile in-house AllTrails scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating AllTrails Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to run periodic snapshots of trail listings. Combine with the Apify dataset diff tools to track new trails or rating changes between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test AllTrails Scraper - Trail Data Extractor and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running AllTrails Scraper - Trail Data Extractor regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running AllTrails Scraper - Trail Data Extractor at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using AllTrails Scraper - Trail Data Extractor

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run AllTrails Scraper - Trail Data Extractor on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use AllTrails Scraper - Trail Data Extractor?

Yes. AllTrails Scraper - Trail Data Extractor only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

AllTrails Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by AllTrails or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.