Traveloka Reviews Scraper (Hotels & Activities)

Scrape Traveloka hotel and activity reviews at scale with a fast, reliable, and production-ready Apify Actor.

Extract structured review data including:

• ⭐ Ratings & scores
• 📝 Review text
• 🌍 Original & translated reviews
• 👤 Reviewer names
• 💬 Business replies
• 👍 Helpful / reaction counts
• 📅 Review timestamps
• 🏨 Hotel reviews
• 🎟️ Activity & attraction reviews

Perfect for:

• Travel startups
• SEO teams
• AI / LLM companies
• Data analysts
• Market researchers
• Hospitality intelligence platforms

Optimized for large-scale review extraction across: Indonesia, Japan, Thailand, Vietnam, Singapore, Malaysia, South Korea, and global Traveloka markets.

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✨ Features

• ✅ Scrape Traveloka hotel reviews
• ✅ Scrape Traveloka activity & attraction reviews
• ✅ Unified dataset structure for all page types
• ✅ Extract translated review content
• ✅ Extract original review text
• ✅ Reviewer names & metadata
• ✅ Review provider information
• ✅ Helpful / reaction counts
• ✅ Management reply extraction
• ✅ Review reply timestamps
• ✅ Multiple sorting options
• ✅ Optional cutoff date filtering
• ✅ Automatic pagination
• ✅ Apify API ready
• ✅ Works with webhooks, schedules, Make, Zapier, Python, and LangChain

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🔍 Supported Traveloka Pages

1️⃣ Hotels

Examples:

• Resorts
• Luxury hotels
• Business hotels
• Apartments
• Villas
• Boutique hotels

Example URL:

https://www.traveloka.com/en-en/hotel/indonesia/the-apurva-kempinski-bali-3000020019601

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2️⃣ Activities & Attractions

Examples:

• Theme parks
• Tourist attractions
• Tours
• Tickets
• Experiences
• Entertainment venues

Example URL:

https://www.traveloka.com/en-en/activities/japan/product/tokyo-disney-resort-tokyo-disneyland-tokyo-disneysea-park-tickets-1001473716971

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⚙️ Input Configuration

Field	Type	Description
urls	array	One or more Traveloka hotel or activity URLs
max_review_per_page	integer	Maximum number of reviews to scrape per page
sort_by	string	Review sorting method
cutoff_date	date	Return only reviews newer than this date

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🔄 Supported Sorting Methods

• Most Recent
• Oldest
• Most Helpful
• Rating (High → Low)
• Rating (Low → High)

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📥 Example Input

{
  "urls": [
    {
      "url": "https://www.traveloka.com/en-en/hotel/indonesia/the-apurva-kempinski-bali-3000020019601"
    },
    {
      "url": "https://www.traveloka.com/en-en/activities/japan/product/tokyo-disney-resort-tokyo-disneyland-tokyo-disneysea-park-tickets-1001473716971"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "SORT_CREATED_DESCENDING",
  "cutoff_date": "2025-01-01"
}

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📦 Output Dataset

The scraper automatically detects whether the URL belongs to:

• a Hotel
• or an Activity / Experience

Both return the same clean unified dataset structure, making downstream processing simple and scalable.

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🧾 Output Fields

Field	Description
pageId	Traveloka property or activity ID
pageUrl	Original Traveloka URL
reviewId	Unique review ID
productType	HOTEL or EXPERIENCE
reviewerName	Reviewer display name
reviewTimestamp	Review submission timestamp
reviewScore	Review rating
reviewMaxScore	Maximum possible rating
reviewContentText	Translated review text
reviewOriginalText	Original untranslated review
reviewAdditionalInformation	Additional review metadata
reactionCount	Helpful / reaction count
hasReacted	Whether current user reacted
reviewProvider	Review provider source
replierName	Business reply author
reviewReplyText	Reply text
reviewReplyOriginalText	Original untranslated reply
reviewReplySubmissionTime	Reply timestamp
reviewReplyTranslationStatus	Reply translation status

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🏨 Example Hotel Review Output

{
  "pageId": "1000000524774",
  "pageUrl": "https://www.traveloka.com/en-jp/hotel/detail",
  "reviewId": "1864683362241757278",
  "productType": "HOTEL",
  "reviewerName": "H***g",
  "reviewTimestamp": "2026-05-09 04:23:50.800000+00:00",
  "reviewScore": 6.7,
  "reviewMaxScore": 10.0,
  "reviewContentText": "The staff are friendly and enthusiastic...",
  "reviewOriginalText": "Nhân viên thân thiện, nhiệt tình...",
  "reactionCount": 0,
  "hasReacted": false,
  "reviewProvider": "TRAVELOKA",
  "replierName": null,
  "reviewReplyText": null
}

---

🎟️ Example Activity Review Output

{
  "pageId": "1001473716971",
  "pageUrl": "https://www.traveloka.com/en-en/activities/japan/product/tokyo-disney-resort-tokyo-disneyland-tokyo-disneysea-park-tickets-1001473716971",
  "reviewId": "1864941948196894752",
  "productType": "EXPERIENCE",
  "reviewerName": "F***a",
  "reviewTimestamp": "2026-05-12 00:53:57.584000+00:00",
  "reviewScore": 8.0,
  "reviewMaxScore": 10.0,
  "reviewContentText": "The staff is very helpful and the place also has lots of exciting rides!!!",
  "reviewOriginalText": "Staff sangat helpful dan juga tempatnya banyak wahana seru!!!",
  "reactionCount": 0,
  "hasReacted": false,
  "reviewProvider": "TRAVELOKA"
}

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🌍 Ideal Use Cases

Perfect for:

• Travel SEO & programmatic SEO
• Hotel reputation monitoring
• AI training datasets
• Sentiment analysis
• Travel review aggregation
• Competitor benchmarking
• Tourism market intelligence
• Hospitality analytics dashboards
• LLM fine-tuning datasets
• Customer experience analysis

Especially useful for:

• Southeast Asia travel market research
• Indonesia hotel analysis
• Japan attraction review monitoring
• OTA review intelligence
• Travel-tech companies

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🚀 Integrations

Use with:

• Apify API
• Python
• Node.js
• Make.com
• Zapier
• Google Sheets
• BigQuery
• Snowflake
• AWS S3
• Airbyte
• LangChain

Export formats:

• JSON
• CSV
• Excel
• XML

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⚡ Reliability & Performance

Built with:

• Smart pagination
• Automatic retries
• CAPTCHA detection
• Residential proxy support
• Session management
• High-scale scraping architecture

Designed for stable production workloads and large-scale review extraction.

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👨‍💻 About the Author

Created by knagymate — developer of multiple high-performance Apify review scrapers focused on:

• Reviews
• Travel platforms
• SEO datasets
• AI-ready structured data

Need:

• custom integrations
• enterprise scraping
• tailored outputs
• private Actors

👉 Feel free to reach out via Apify.

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⭐ If this Actor helps you

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