🏨 Agoda Hotel Scraper

🚀 Pull hotel listings from Agoda in minutes. Names, prices, ratings, reviews, locations, addresses. Worldwide. No login.

🕒 Last updated: 2026-05-09 · 📊 20+ fields per hotel · 🌏 Worldwide coverage · 🚫 No auth required

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

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/agoda-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/agoda-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: searchQuery (string, default "Bangkok"), maxItems (integer, default 10), checkIn (string), checkOut (string), adults (integer, default 2), rooms (integer, default 1). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~agoda-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Pull live hotel listings from Agoda.com, one of the largest global hotel-booking platforms with strongest coverage in Asia-Pacific. The actor accepts a city or destination plus check-in/check-out dates and guest count, walks the result pages, and returns one structured record per hotel ready for travel-tech, OTA competitive intelligence, dynamic-pricing analysis, or destination research.

Every run fetches data live so you get the current state of Agoda at run time. Records include the hotel name, image, address, neighborhood, rating, review count, star rating, current price (with currency), original price, breakfast-included flag, free-cancellation flag, room type, distance to landmark, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Travel agencies	Build inventory feeds with live hotel pricing
OTA competitive intel	Compare Agoda prices vs Booking, Hotels.com
Hotel revenue managers	Monitor competitor pricing in your market
Travel-tech and apps	Power hotel-discovery features without owning a crawler
Researchers	Study tourism market dynamics by destination
Corporate travel	Build approved-hotel lists with current pricing

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📋 What the Agoda Scraper does

• 🔍 Destination search. Pass any city, region, or landmark.
• 📅 Date filters. Check-in and check-out dates (defaults to tomorrow + 1 day).
• 👥 Guest config. Number of adults and rooms.
• 💰 Price data. Current price plus original price where shown.
• ⭐ Ratings. Guest rating, star rating, review count.
• 🏨 Hotel detail. Name, address, neighborhood, image, room type, breakfast and cancellation flags.

The scraper walks Agoda's search results for your destination + date combination, fetches each hotel card, and pushes structured records to the dataset.

💡 Why it matters: Agoda has the strongest hotel coverage in Asia-Pacific but its UI is paginated and lacks bulk export. A live, structured pull beats manual scraping for OTA competitive intelligence, travel-tech apps, and corporate-travel buying.

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🎬 Full Demo

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

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⚙️ Input

Field	Type	Name	Description
searchQuery	string	Search Query	City or destination (e.g. Bangkok, Bali, Tokyo).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
checkIn	string	Check-In Date	YYYY-MM-DD format. Defaults to tomorrow.
checkOut	string	Check-Out Date	YYYY-MM-DD format. Defaults to day after check-in.
adults	integer	Adults	Number of adult guests. Default 2.
rooms	integer	Rooms	Number of rooms.

Example 1. Bangkok hotels for next weekend.

{
  "searchQuery": "Bangkok",
  "checkIn": "2026-05-15",
  "checkOut": "2026-05-17",
  "adults": 2,
  "rooms": 1,
  "maxItems": 50
}

Example 2. Family stay in Bali, 4 adults, 2 rooms.

{
  "searchQuery": "Bali",
  "checkIn": "2026-06-01",
  "checkOut": "2026-06-08",
  "adults": 4,
  "rooms": 2,
  "maxItems": 100
}

⚠️ Good to Know: Agoda's search returns slightly different inventory by date and guest count. Use specific dates for accurate price comparisons.

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📊 Output

The dataset returns one structured record per hotel. Each record carries identifiers, name, image, address, ratings, prices, room type, 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
🆔 hotelId	string	ag-12345678
🏨 name	string	Bangkok Marriott Marquis Queen's Park
🖼️ imageUrl	string (url)	https://pix.agoda.net/.../primary.jpg
🏠 address	string	199 Sukhumvit Soi 22, Bangkok 10110, Thailand
🏘️ neighborhood	string	Sukhumvit
⭐ rating	number	8.7
🏨 starRating	number	5
💬 reviewCount	number	12450
💰 price	number	4250
💵 originalPrice	number or null	5500
💱 currency	string	THB
🛏️ roomType	string	Deluxe Room, 1 King Bed
🥐 breakfastIncluded	boolean	true
🔄 freeCancellation	boolean	true
📍 distanceToCenter	string	1.2 km
🔗 hotelUrl	string (url)	https://www.agoda.com/.../hotel/12345678.html
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Typical record (5-star Bangkok hotel)

{
  "hotelId": "ag-12345678",
  "name": "Bangkok Marriott Marquis Queen's Park",
  "imageUrl": "https://pix.agoda.net/abc/primary.jpg",
  "address": "199 Sukhumvit Soi 22, Bangkok 10110, Thailand",
  "neighborhood": "Sukhumvit",
  "rating": 8.7,
  "starRating": 5,
  "reviewCount": 12450,
  "price": 4250,
  "originalPrice": 5500,
  "currency": "THB",
  "roomType": "Deluxe Room, 1 King Bed",
  "breakfastIncluded": true,
  "freeCancellation": true,
  "distanceToCenter": "1.2 km",
  "hotelUrl": "https://www.agoda.com/bangkok-marriott-marquis-queens-park/hotel/12345678.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Mid-range Bali resort

{
  "hotelId": "ag-22334455",
  "name": "Seminyak Beach Resort & Spa",
  "imageUrl": "https://pix.agoda.net/def/primary.jpg",
  "address": "Jl. Kayu Aya, Seminyak, Bali, Indonesia",
  "neighborhood": "Seminyak",
  "rating": 8.3,
  "starRating": 4,
  "reviewCount": 4500,
  "price": 850000,
  "currency": "IDR",
  "roomType": "Deluxe Pool View",
  "breakfastIncluded": true,
  "freeCancellation": false,
  "hotelUrl": "https://www.agoda.com/seminyak-beach-resort-spa/hotel/22334455.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (budget hotel)

{
  "hotelId": "ag-99999999",
  "name": "Budget Inn Bangkok",
  "address": "Sukhumvit, Bangkok, Thailand",
  "rating": 6.8,
  "starRating": 2,
  "reviewCount": 320,
  "price": 850,
  "currency": "THB",
  "roomType": "Standard Room",
  "hotelUrl": "https://www.agoda.com/budget-inn-bangkok/hotel/99999999.html",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Agoda 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 Agoda 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 hotel 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
⭐ Agoda Hotel Scraper (this Actor)	$5 free credit, then pay-per-use	Full Agoda catalog	Live per run	Destination, dates, guests, rooms	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid OTA APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Manual searches	Hours per check	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 Agoda Hotel Scraper page on the Apify Store.
3. 🎯 Set search. Enter a destination, check-in/check-out dates, and guest config, 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

📊 OTA competitive intel Compare Agoda prices vs Booking, Hotels.com Track price gaps across platforms Build comp sets for revenue management Surface competitor inventory advantages	🏢 Hotel revenue management Monitor competitor pricing in your market Build dynamic-pricing models from live data Track ADR shifts week over week Identify competitor seasonal patterns
🎯 Travel-tech and apps Power hotel-discovery features Build meta-search and price-alert apps Surface deals and promotions automatically Power destination-content marketplaces	🛠️ Engineering and product Prototype travel-tech products without owning a crawler Replace fragile in-house Agoda 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 Agoda Hotel 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 capture daily price snapshots for target destinations. Combine with the Apify dataset diff tools to alert on price changes between runs.

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❓ Frequently Asked Questions

🔌 Integrate with any app

Agoda Hotel 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.

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🔗 Recommended Actors

• 🏨 Booking.com Scraper - Booking.com hotel listings
• 🏨 Hotels.com Scraper - Hotels.com inventory and prices
• 🛏️ Airbnb Scraper - Short-term rentals with availability
• 🏔️ AllTrails Scraper - Hiking trail data for travel content
• 🍱 Tripadvisor Scraper - Tripadvisor reviews and ratings

💡 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 Agoda or Booking Holdings. 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 travel-tech use. Users are responsible for compliance with the source site's Terms of Service and applicable law.