Rakuten Travel Scraper

What Rakuten Travel Scraper: Japan Hotels, Rates & Reviews can do

• Around 40 fields per hotel. From the listing card through full detail and review pages
• Two modes, many ways in. Search mode runs a prefecture walk and/or a keyword search together, URL mode processes any pasted hotel, area, keyword-results or day-use listing URL
• Sorts and filters. The site's own server-side price and review sorts, plus client-side price bounds and a minimum rating filter
• Review mining. Overall score, per-category averages (room, service, location, meals, bath), star histogram and review texts
• Built for schedules. Resume and incremental modes for daily scheduled monitoring of the same scope, returning only what changed
• All 47 prefectures. Covers all 47 prefectures of the site's own area tree, with the declared result totals respected page by page

Choose what to collect

These inputs let you configure Rakuten Travel Scraper: Japan Hotels, Rates & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "recordId": "0000000",
  "hotelNo": "0000000",
  "rowType": "hotel",
  "url": "https://travel.rakuten.co.jp/HOTEL/0000000/0000000.html",
  "name": "Sample Seaside Hotel",
  "ratingValue": 4.2,
  "reviewCount": 1200,
  "minPriceYen": 8000,
  "minPriceTaxIncludedYen": 8800,
  "catchcopy": "A sample one line catch copy from the listing card",
  "access": "Sample station: 5 min on foot",
  "thumbnailUrl": "https://trvimg.r10s.jp/share/image_up/0000000/sample.jpg",
  "position": 3,
  "searchSource": "東京",
  "address": "〒000-0000 Sample prefecture Sample city 1-2-3",
  "phoneNumber": "000-000-0000",
  "faxNumber": "000-000-0001",
  "checkInTime": "15:00〜19:00",
  "checkOutTime": "10:00",
  "parking": "Available, 50 cars",
  "totalRooms": 120,
  "facilities": [
    "Restaurant",
    "Large bath",
    "Non-smoking rooms"
  ],
  "roomAmenities": [
    "TV",
    "Refrigerator",
    "Hair dryer"
  ],
  "creditCards": [
    "VISA",
    "Master Card"
  ],
  "meals": [
    "[Breakfast] Restaurant"
  ],
  "cancellationPolicy": "Sample cancellation terms from the hotel page",
  "description": "Sample full property description.",
  "photoUrls": [
    "https://trvimg.r10s.jp/share/image_up/0000000/sample.jpg"
  ],
  "ratingSummary": {
    "overallScore": 4.2,
    "reviewCount": 1200,
    "categoryAverages": {
      "ROOM": 4.1,
      "BREAKFAST": 4.3
    },
    "starHistogram": {
      "FIVE": 500,
      "FOUR": 400
    }
  },
  "reviews": [
    {
      "reviewId": "000000",
      "title": "Sample review title",
      "comment": "Sample review text.",
      "postedAt": "2026-01-01T00:00:00Z",
      "score": 5,
      "nickname": "SampleNick",
      "stayDate": "2026-01-01",
      "planName": "Sample plan name"
    }
  ],
  "reviewsTotal": 1200,
  "scrapedAt": "2026-01-01T00:00:00Z",
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-01-01T00:00:00Z",
  "lastSeenAt": "2026-01-01T00:00:00Z"
}

Ways to use this data

• Revenue managers and OTAs: watch a prefecture's or a hotel group's own lowest rates on a schedule and react to competitor price moves the same day.
• Travel bloggers and itinerary apps: pull hotel names, ratings, catch copy and access details for a region or a keyword search into your own site or app.
• Hospitality market research: compare a property's price and review score against every other hotel in the same prefecture or search result.
• Review and reputation analysis: collect review text, per-category scores and the star histogram to track guest sentiment over time.
• Data science and ML datasets: build labeled datasets of Japanese domestic lodging prices, ratings and facilities for forecasting or recommendation models.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor