🏔️ 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.

Pull structured records from AllTrails — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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parseforge/alltrails-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/alltrails-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrl (string), maxItems (integer, default 10), searchType (string, default "region"), region (string, default "denver"), state (string, default "colorado"), city (string, default "Denver, CO"). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~alltrails-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

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

📋 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.

📊 Data fields

Each record includes: activities, adaAccessible, alertIds, alertTypes, areaId, areaName, areaSlug, areaType, areaUrl, associatedAreaIds, avgRating, campingAvailable, cityId, cityName, cityUrl, collections, collectionsWithPhotos, countryId, countryName, createdAt, description, difficulty, difficultyRating, dogFriendly, durationCycling, durationHiking, durationMinutes, durationMountainBiking, durationTrailRunning, elevationGainFt, elevationGainMeters, elevationMeters, estimatedTime, featuredPhotoIds, features, hasAlerts, highestPoint, isClosed, isPrivateProperty, kidFriendly. All 40 field names come from a real production run, so what you see here is what lands in your dataset.

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

⚠️ 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.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.