MakeMyTrip Hotels Scraper

Scrape complete hotel intelligence from MakeMyTrip search results in a single run.
Collect pricing, availability, offers, location signals, review summaries, and persuasion indicators exactly as users see them on MakeMyTrip, but cleanly normalized and ready for analysis, dashboards, and automation.

Built for travel analytics, market research, pricing intelligence, and large-scale hotel monitoring.

📚 Table of Contents

• 🧾 What This Actor Does
• 📦 What Data You Get
• 🔥 Use Cases
  • 💰 Pricing & Offer Intelligence
  • 🏨 Hotel Market & Supply Analysis
  • ⭐ Review & Reputation Insights
  • 🎯 Persuasion & Conversion Signals
  • 🧩 Dashboards, Alerts & Automation
• ⚡ Quick Start
• ⬇️ Input Format
• 🧪 Example Input
• 📥 Output Example (JSON)
• 🧪 Troubleshooting
• 🔗 Related Scrapers

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🧾 What This Actor Does

You provide:

• One or more MakeMyTrip hotel search result URLs
• Optional limits for how many listings to collect per URL

The actor:

• Extracts hotel listings exactly as shown for your selected dates, guests, and filters
• Preserves pricing logic, offers, and availability state
• Normalizes messy UI data into a stable, analytics-ready schema

🧠 This actor mirrors how MakeMyTrip internally represents hotel listings, including offers, persuasion text, and review summaries, not just raw hotel attributes.

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📦 What Data You Get

Each dataset item represents one hotel listing.

Category	What’s Included
🆔 Hotel Identity	id name hotelType
⭐ Classification & Stay Info	starRating stayType propertyType
📍 Location & Context	location city country countryCode locationId locationType latitude longitude locationPersuasion[]
💰 Pricing & Taxes	discountedPrice originalPrice priceWithTax discountedPriceWithTax discountedPriceWithTaxAndFees totalTax totalAdditionalFees
🏷 Offers & Coupons	couponCode couponText couponDiscountAmount couponType couponAutoApplicable couponIcon
🚦 Availability & Inventory	availability soldOut showCallToBook totalRoomCount
⭐ Reviews & Reputation	cumulativeRating totalRatingCount totalReviewCount ratingText formattedRatingText preferredOTA recentReview
🧩 Review Breakdown	reviewSummary.hotelRatingSummary[] (Location, Cleanliness, Food, Value for Money, Facilities, Child Friendliness, etc.)
🎯 Persuasion Signals	isFreeCancellation isCoupleFriendly isLoginOfferAvailable primaryPersuasionText secondaryPersuasionTexts[]
🖼 Images & Media	displayImage images[] totalImageCount travellerImageCount hotelMediaCount
🔗 Links & Deep Linking	seoUrl detailDeeplinkUrl appDeeplink sharingUrl

💡 All fields are normalized, nullable where applicable, and safe for analytics pipelines, dashboards, and automation workflows.

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🔥 Use Cases

💰 Pricing & Offer Intelligence

Track how hotel pricing behaves across cities, dates, and demand periods using:

• discountedPrice, originalPrice, priceWithTax
• discountedPriceWithTax, totalTax, totalAdditionalFees
• couponText, couponDiscountAmount, couponType
• isFreeCancellation, soldOut, availability

Use this to monitor discount depth, coupon penetration, and price volatility at scale.

🏨 Hotel Market & Supply Analysis

Analyze hotel supply composition and positioning using:

• starRating, propertyType, stayType, hotelType
• location, city, locationId, locationType
• totalRoomCount, hotelMediaCount

Understand how different property types and stay categories are distributed across destinations.

⭐ Review & Reputation Insights

Study hotel reputation and guest perception through:

• cumulativeRating, ratingText, formattedRatingText
• totalRatingCount, totalReviewCount
• reviewSummary.hotelRatingSummary[] (Location, Cleanliness, Food, Value for Money, Facilities, Child Friendliness)

Correlate ratings, review volume, and category-level scores with pricing and availability signals.

🎯 Persuasion & Conversion Signals

Understand what drives booking decisions using:

• primaryPersuasionText, secondaryPersuasionTexts[]
• isFreeCancellation, isCoupleFriendly, isLoginOfferAvailable
• locationPersuasion[]

Analyze how offers, cancellation policies, and location messaging influence hotel positioning.

🧩 Dashboards, Alerts & Automation

Feed normalized hotel data into:

• BI dashboards and reporting tools
• Price and availability monitoring systems
• Market research and travel intelligence pipelines
• Scheduled analytics jobs and alerts

Key automation-friendly fields include: id, locationId, discountedPrice, availability, cumulativeRating, seoUrl, detailDeeplinkUrl

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⚡ Quick Start

1. Open the MakeMyTrip Hotels search results page
2. Apply your desired dates, guests, sorting, and filters
3. Copy the hotel search results URL
4. Paste the URL into the actor input
5. Run the actor

💡 The scraper extracts exactly what the hotel results page shows, with no guesswork or assumptions.

⬇️ Input Format

Input	Description
searchUrls	One or more MakeMyTrip hotel search results URLs
hotelsLimit	Maximum number of hotels to scrape per URL (default: 50)

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🧪 Example Input

{
  "hotelsLimit": 50,
  "searchUrls": [
    "https://www.makemytrip.com/hotels/hotel-listing/?checkin=12082025&city=CTSLV&checkout=12092025&roomStayQualifier=2e0e&locusId=CTSLV&country=IN&locusType=city&searchText=Shimla&regionNearByExp=3&rsc=1e2e0e"
  ]
}

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📥 Output Example (JSON):

The scraper exports results as a structured dataset. You can download it as JSON, CSV, Excel, HTML table, or use it via API.

{
    "id": "202409141240215068",
    "name": "Clarks Inn Suites Jaipur",
    "starRating": 4,
    "stayType": "Resort",
    "propertyType": "Resort",
    "hotelType": "HOTEL",
    "location": "Jaipur",
    "city": "Jaipur",
    "country": "India",
    "countryCode": "IN",
    "locationId": "CTJAI",
    "locationType": "city",
    "latitude": 26.8623,
    "longitude": 75.68541,
    "locationPersuasion": [
      "Mahapura",
      "16.2 km from city centre"
    ],
    "totalRoomCount": 1,
    "discountedPrice": 4228,
    "originalPrice": 9999,
    "priceWithTax": 10533,
    "discountedPriceWithTax": 4762,
    "discountedPriceWithTaxAndFees": 4762,
    "totalTax": 534,
    "totalAdditionalFees": 0,
    "couponCode": "MMTSTAYS",
    "couponText": "Get 1771 OFF!",
    "couponIcon": "https://promos.makemytrip.com/Growth/Images/B2C/generic_offer_icon_dh.png",
    "couponType": "ECOUPON",
    "couponAutoApplicable": false,
    "couponDiscountAmount": 1771,
    "soldOut": false,
    "showCallToBook": false,
    "availability": "Available",
    "reviewSummary": {
      "source": "MMT",
      "cumulativeRating": 4.1,
      "totalRatingCount": 479,
      "totalReviewCount": 189,
      "ratingText": "Very Good",
      "formattedRatingText": "479 Ratings",
      "preferredOTA": true,
      "recentReview": false,
      "hotelRatingSummary": [
        {
          "displayText": "Location",
          "value": 4,
          "show": false,
          "reviewCount": 74,
          "heroTag": false
        },
        {
          "displayText": "Facilities",
          "value": 3.9,
          "show": true,
          "reviewCount": 15,
          "heroTag": false
        },
        {
          "displayText": "Food",
          "value": 4.1,
          "show": true,
          "reviewCount": 72,
          "heroTag": false
        },
        {
          "displayText": "Cleanliness",
          "value": 4.5,
          "show": true,
          "reviewCount": 57,
          "heroTag": false
        },
        {
          "displayText": "Value For Money",
          "value": 4.2,
          "show": true,
          "reviewCount": 20,
          "heroTag": false
        },
        {
          "displayText": "Child Friendliness",
          "value": 4.3,
          "show": true,
          "reviewCount": 27,
          "heroTag": false
        }
      ]
    },
    "cumulativeRating": 4.1,
    "totalRatingCount": 479,
    "totalReviewCount": 189,
    "ratingText": "Very Good",
    "formattedRatingText": "479 Ratings",
    "preferredOTA": true,
    "recentReview": false,
    "isFreeCancellation": true,
    "isCoupleFriendly": true,
    "isLoginOfferAvailable": false,
    "primaryPersuasionText": "Free Cancellation ",
    "secondaryPersuasionTexts": [
      "Book with ₹0 Payment",
      "10% off on Food & Beverages ",
      "Couple Friendly",
      "KOTAK Credit Card NoCostEMI Offer - Get INR 1935 Off! ",
      "Luxurious rooms with spacious bathrooms, Friendly staff for comfort, Great breakfast options ",
      "Mahapura | 16.2 km from city centre"
    ],
    "displayImage": "//r1imghtlak.mmtcdn.com/d6c75dcb-2df7-410f-a682-daef3ceb6597.jpg?output-quality=75&downsize=243:162&output-format=webp",
    "images": [
      "//r1imghtlak.mmtcdn.com/d6c75dcb-2df7-410f-a682-daef3ceb6597.jpg?output-quality=75&downsize=243:162&output-format=webp",
      "//r1imghtlak.mmtcdn.com/198e9550-0348-4ebb-b207-42132d604adc.jpg?output-quality=75&downsize=243:162&output-format=webp",
      "//r2imghtlak.mmtcdn.com/r2-mmt-htl-image/htl-imgs/202409141240215068-fd9b8c75-0f7e-48b5-8cf6-fda041492e0e.jpg?output-quality=75&downsize=243:162&output-format=webp",
      "//r1imghtlak.mmtcdn.com/bdb4292c-f581-4c6c-9449-c92b1b76e7ae.jpg?output-quality=75&downsize=243:162&output-format=webp",
      "//r1imghtlak.mmtcdn.com/8bc7da9d-b71b-4c1c-854a-847a4648c333.JPG?output-quality=75&downsize=243:162&output-format=webp"
    ],
    "totalImageCount": 20,
    "travellerImageCount": 0,
    "hotelMediaCount": 96,
    "seoUrl": "https://www.makemytrip.com/hotels/clarks_inn_suites_jaipur-details-jaipur.html",
    "detailDeeplinkUrl": "https://www.makemytrip.com/hotels/hotel-details?hotelId=202409141240215068&checkin=01292026&checkout=01302026&country=IN&city=CTJAI&openDetail=true&currency=INR&roomStayQualifier=2e0e&locusId=CTJAI&locusType=city&region=in&funnelName=HOTELS&rsc=1e2e&mpn=false",
    "appDeeplink": "mmyt://htl/detail/?topHtlId=202409141240215068&hotelId=202409141240215068&checkin=01292026&checkout=01302026&country=IN&city=CTJAI&roomStayQualifier=2e0e&_uCurrency=INR&checkAvailability=true&locusId=CTJAI&locusType=city&region=in&funnelName=HOTELS&rsc=1e2e&mpn=false",
    "sharingUrl": "https://app.mmyt.co/Xm2V/hotelShareScreenshot?hotelId=202409141240215068&city=CTJAI&country=IN&roomStayQualifier=2e0e&checkin=01292026&checkout=01302026&cmp=hotelAppShareNew&locusId=CTJAI&locusType=city&region=IN&funnelName=HOTELS&rsc=1e2e&mpn=false"
  }

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Troubleshooting

Warnings may appear during execution, but retries and proxy rotation ensure the scraper continues until the required data is collected.

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🔗 Related Scrapers

Use the companion tool 👉 MakeMyTrip Hotel Reviews Scraper.