MakeMyTrip & Goibibo Hotels & Reviews Scraper (July 2026)

MakeMyTrip Scraper extracts hotel reviews and full hotel details from MakeMyTrip and Goibibo — India's largest travel platforms — in a single run. No login, no proxy setup, no code. Paste hotel URLs (or raw hotel IDs) and get structured reviews plus a complete hotel profile for each property.

$2.50 per 1,000 reviews · hotel details included free · no per-run start fee · New Apify users get ~2,000 reviews free with the $5 platform credit.

⭐ Found this useful? Please rate & bookmark the actor — it helps other travel-data teams find it.

▶ Watch the 80-second walkthrough — setup, a live run, and the structured review + hotel output:

Contents: What's different · What it does · vs the official API · Who it's for · Use cases · Step by step · Input · Output · Pricing · Schedule · AI agents & RAG · GDPR · FAQ · Changelog · Support

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What's different

Three things no other Apify actor for MakeMyTrip or Goibibo does today:

• Both brands in one run. MakeMyTrip and Goibibo run on one shared hotel identity, so this actor can return both brands' guest-review feeds for the same property — the same hotel's MakeMyTrip audience and its Goibibo audience, side by side. Add MakeMyTrip URLs and Goibibo URLs together, or set the review source to Both.
• Full hotel profile included free. Every run returns a Hotels dataset — star class, property type, address, PIN code, geo-coordinates, aggregate rating, tier label, and the clubbed sub-ratings (Location, Cleanliness, Facilities, Food, Room, Value for Money, Child-friendliness) — at no extra charge. You only pay per review.
• LLM-ready markdownContent per review. Each review row carries a self-contained markdown block — rating, travel type, room, stay month, body, and the hotel's response — ready to embed straight into a vector DB.

Plus:

• Review photos with AI scene-tags (images → [{ url, aiTags }]) — the source's own image labels, on every photo.
• Owner/management responses with response date.
• Reviewer context: name, anonymity flag, and lifetime review count (Goibibo).
• Accepts MakeMyTrip .com / .global URLs, Goibibo URLs, or raw hotel IDs (18-digit = MakeMyTrip, 19-digit = Goibibo).

No-setup checklist:

• No login or account required
• Apify Proxy bundled (datacenter) - works for both brands out of the box; if Goibibo returns no data from your region, switch the proxy country in the Advanced section
• No code required (form-based input in the Apify Console)
• Pay-per-event pricing — no subscription, no commitment

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What does this scraper do?

You paste hotel URLs — MakeMyTrip or Goibibo, mix freely, up to 500 per run — or raw hotel IDs. The actor returns two structured datasets:

Reviews dataset — one row per guest review:

• Core: overallRating, title, reviewText, travelType, roomName, checkInMonth, submittedAt, source
• Reviewer: reviewer.name, reviewer.isAnonymous, reviewer.reviewsWritten (Goibibo)
• Photos: images — array of { url, aiTags } with the source's AI scene-tags; imagesCount
• Management response: ownerResponse.text, ownerResponse.date
• AI-ready: markdownContent — self-contained per-review markdown block, direct vector-DB input

Hotels dataset (free) — one summary row per hotel:

• hotelStars, propertyType, hotelAddress, pinCode, geoLat, geoLong
• overallRating, ratingLabel, reviewsCount, and the clubbed subRatings array

Both datasets are accessible via the Output-tab dropdown — see Output.

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Why this scraper (vs the official API and other Apify scrapers)

MakeMyTrip Group publishes no public reviews API for either MakeMyTrip or Goibibo — scraping the public review pages is the only way to get this data at scale. This is the only Apify actor that reads both brands in one run and includes the full hotel profile for free:

Capability	This actor	Other MakeMyTrip Apify scrapers	Official API
MakeMyTrip reviews	✅	✅ (some)	❌ none
Goibibo reviews	✅ same run	❌ MakeMyTrip-only	❌
Both brands for the same hotel	✅	❌	❌
Full hotel details (stars, geo, sub-ratings)	✅ free	⚠️ separate paid actor	❌
Review photos with AI scene-tags	✅	❌	❌
Owner / management responses	✅	varies	❌
LLM-ready markdownContent per review	✅	❌	❌
Raw hotel-ID input (no URL needed)	✅	varies	n/a
Pricing	$2.50 / 1,000 reviews (from $2.00 on Business); hotels free	reviews and hotels billed separately	n/a

The headline difference is Goibibo coverage plus free hotel data: other tools see only the MakeMyTrip guest pool and charge separately for hotel details. This actor reads both brands' review corpora for the same property and bundles the complete hotel profile at no extra cost.

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Who this scraper is for

• Hotel revenue managers tracking their own and competitor properties' rating trends and sub-rating breakdowns across MakeMyTrip and Goibibo.
• Reputation / guest-experience teams monitoring new reviews, owner-response coverage, and sentiment across a portfolio.
• OTA & market analysts comparing MakeMyTrip vs Goibibo guest sentiment for the same hotel in one dataset.
• AI / RAG engineers ingesting hotel reviews into vector databases — markdownContent is chunk-ready.
• Travel researchers filtering by travelType, roomName, rating, and stay date for ICP-scoped datasets.

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Common use cases

1. Daily sentiment monitoring across both brands

{
  "startUrls": [
    "https://www.makemytrip.com/hotels/hotel-details/?hotelId=200703241029455940&city=CTGOI&country=IN",
    "https://www.goibibo.com/hotels/hard-rock-goa-hotel-in-goa-6204281054243107966/"
  ],
  "reviewSource": "auto",
  "maxReviewsPerHotel": 50,
  "sortBy": "mostRecent",
  "fromDate": "2026-06-01"
}

Pair with the Schedule section to run nightly with fromDate set to yesterday.

2. Both brands' reviews for one hotel

{
  "startUrls": ["https://www.makemytrip.com/hotels/hotel-details/?hotelId=200703241029455940&city=CTGOI&country=IN"],
  "reviewSource": "both",
  "maxReviewsPerHotel": 200
}

reviewSource: "both" collects the MakeMyTrip and Goibibo review feeds for the same property, tagged by source.

3. Negative-review mining for competitor analysis

{
  "startUrls": ["https://www.goibibo.com/hotels/hard-rock-goa-hotel-in-goa-6204281054243107966/"],
  "maxReviewsPerHotel": 500,
  "sortBy": "negative",
  "minRating": 1,
  "maxRating": 2
}

4. Hotel details only (no review charge)

{
  "hotelIds": ["200703241029455940", "6204281054243107966"],
  "maxReviewsPerHotel": 0
}

Set maxReviewsPerHotel: 0 to return just the free Hotels dataset — star class, geo, sub-ratings — for a list of IDs.

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How to scrape MakeMyTrip reviews - step by step

1. Click Try for free on this actor's Apify Store page.
2. Paste one or more MakeMyTrip or Goibibo hotel URLs into Hotel URLs (mix freely; up to 500), and/or raw hotel IDs into Hotel IDs.
3. Choose Review source — Auto (match each link's brand), MakeMyTrip only, Goibibo only, or Both.
4. Set maxReviewsPerHotel, fromDate / toDate, minRating / maxRating, and sortBy as needed.
5. Click Start. Results stream into the Output tab in real time — switch the dropdown between Reviews and Hotels. Download as JSON, CSV, or Excel.

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Input

Field	Type	Default	Description
startUrls	array of URL	(prefilled)	MakeMyTrip (.com/.global) or Goibibo hotel URLs. Mix freely. Max 500.
hotelIds	array of string	-	Raw hotel IDs (18-digit = MakeMyTrip, 19-digit = Goibibo)
reviewSource	enum	auto	auto / makemytrip / goibibo / both
maxReviewsPerHotel	integer	200	0–5,000 (0 = hotel details only)
sortBy	enum	mostRecent	mostRelevant / mostRecent / helpful / positive / negative
fromDate	date	-	YYYY-MM-DD; reviews on or after
toDate	date	-	YYYY-MM-DD; reviews on or before
minRating	integer	1	1–5
maxRating	integer	5	1–5
proxyConfiguration	proxy	Apify Proxy (datacenter)	Works for both brands out of the box; switch country if Goibibo returns empty

URL / ID examples (all supported — just copy the link from your browser):

• https://www.makemytrip.com/hotels/hotel-details/?hotelId=200703241029455940&city=CTGOI&country=IN (MakeMyTrip hotel page)
• https://www.makemytrip.com/hotels/taj_mg_road_bengaluru-details-bangalore.html (MakeMyTrip SEO link)
• https://www.goibibo.com/hotels/hard-rock-goa-hotel-in-goa-6204281054243107966/ (Goibibo)
• 200703241029455940 (raw MakeMyTrip hotel ID)

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Output

Two named alias datasets, accessible via the Output tab dropdown in the Apify Console:

• Reviews — one row per guest review. Two table views: Overview (the columns most users want, including source, review title, and imagesCount) and AI ingest (LLM-ready columns including markdownContent).
• Hotels (free) — one summary row per hotel: star class, property type, address, PIN code, geo-coordinates, aggregate rating, tier label, total reviews, and the clubbed subRatings array.

Sample review row

{
  "reviewId": "01KXQ014AHMXEWYHEBNBX9ZSCY",
  "hotelId": "200703241029455940",
  "hotelName": "Caravela Beach Resort",
  "hotelUrl": "https://www.makemytrip.com/hotels/hotel-details/?hotelId=200703241029455940",
  "source": "makemytrip",
  "submittedAt": "2026-07-17",
  "checkInMonth": "2026-07",
  "reviewer": { "name": "Sumit Khare", "isAnonymous": false, "reviewsWritten": null },
  "travelType": "COUPLE",
  "roomName": "Deluxe Room Sea View",
  "overallRating": 5,
  "title": "Wonderful beachside stay",
  "reviewText": "Amazing experience. Great service, good food and a beautiful property...",
  "usefulCount": 0,
  "imagesCount": 3,
  "images": [
    { "url": "https://.../01KXQ0BJ0RC3Y4AHK99XWCQVMH.jpg", "aiTags": ["palm_tree", "grass", "house", "car"] }
  ],
  "ownerResponse": null,
  "markdownContent": "# Caravela Beach Resort review (MakeMyTrip)\n\n**Rating:** 5/5 ★★★★★\n**Travel type:** COUPLE\n**Room:** Deluxe Room Sea View\n\n## Review\nAmazing experience...",
  "extractedAt": "2026-07-24T10:40:00+00:00"
}

Sample hotel summary row

{
  "hotelId": "200703241029455940",
  "hotelName": "Caravela Beach Resort",
  "source": "makemytrip",
  "url": "https://www.makemytrip.com/hotels/hotel-details/?hotelId=200703241029455940",
  "hotelStars": 5,
  "propertyType": "Resort",
  "hotelAddress": "Varca Beach, Varca Village, Salcete - Goa, Goa",
  "pinCode": "403721",
  "geoLat": 15.209597,
  "geoLong": 73.93258,
  "overallRating": 4.4,
  "ratingLabel": "Excellent",
  "reviewsCount": 3357,
  "subRatings": ["Location: 4.5", "Cleanliness: 4.5", "Facilities: 4.3", "Food: 4.2", "Room: 4.2", "Value For Money: 4.1", "Child Friendliness: 4.3"],
  "extractedAt": "2026-07-24T10:40:30+00:00"
}

Timestamps: submittedAt, checkInMonth, and ownerResponse.date come from the source in local date precision (no time zone) — preserved as naive dates rather than mislabeled as UTC. extractedAt is our scrape time in UTC.

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Pricing

Pay-per-event. No subscription, no minimum spend. Hotel details are free — you are charged per review only.

Event	Rate
apify-default-dataset-item	$0.0025 per review row

There is no per-run start fee, and the Hotels dataset is not billed. Note: with Review source = Both, each brand is scraped up to maxReviewsPerHotel, so a hotel can return (and bill for) up to twice that many reviews.

Effective rate: $2.50 per 1,000 reviews. Tiered subscription discounts reduce this automatically — down to $2.00 per 1,000 on the Business plan.

Cost examples:

Scope	Reviews	Cost
Quick validation (1 hotel, 50 reviews)	50	$0.13
Single hotel full history	200	$0.50
Competitor set (10 hotels × 100 reviews)	1,000	$2.50
Both brands (10 hotels × 200 × 2)	4,000	$10.00

Apify's $5 new-account credit covers ~2,000 reviews on day one — enough to validate end-to-end before any spend. Incremental daily runs typically cost a few cents each.

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How to run this MakeMyTrip reviews API on a schedule

For continuous monitoring, daily delta refreshes, or reputation dashboards:

1. Open the Apify Schedules tab in your Console.
2. Add a new schedule and select this actor.
3. Set the cron expression (e.g., 0 6 * * * for daily at 06:00 UTC).
4. In the schedule's input override, set fromDate to a sliding window — e.g. yesterday via {{NOW - 1.day | date('YYYY-MM-DD')}}.
5. (Optional) Wire an Apify webhook on ACTOR.RUN.SUCCEEDED to push the dataset into BigQuery, S3, or your CRM.

Combined with sortBy: "mostRecent", incremental runs stop once they cross the fromDate floor — fast and cheap.

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AI agents & RAG - using the data with LLMs

The markdownContent field on every review is a self-contained markdown block — title, rating, travel type, room, stay month, body, and hotel response inlined. Designed for direct vector-DB ingestion and LLM context windows. Capped at 100 KB per row.

Use the standard Apify API or client libraries to run the actor and iterate the Reviews dataset — markdownContent is your ready-to-embed chunk.

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Data sources & GDPR

This actor extracts publicly visible review data from MakeMyTrip and Goibibo. The reviewer.name field may contain first names where the reviewer chose to display them publicly; anonymous reviewers are surfaced as reviewer.name: null + reviewer.isAnonymous: true. You are responsible for ensuring your downstream use complies with GDPR, India's DPDP Act, and any other applicable data-protection regulations in your jurisdiction.

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FAQ

How much does it cost to scrape 10,000 MakeMyTrip reviews?

10,000 × $0.0025 = $25.00 (no start fee, hotel details free). New Apify accounts get a $5 credit that covers ~2,000 reviews at base tier. Tiered discounts lower the per-row price automatically as your Apify plan scales, down to $2.00 per 1,000 on Business.

Can I scrape MakeMyTrip and Goibibo in one run?

Yes — that is the actor's headline feature. Mix MakeMyTrip and Goibibo URLs in startUrls, or set reviewSource: "both" to collect both brands' reviews for the same hotel (the two platforms share one hotel identity). Each row is tagged with its source.

Does MakeMyTrip have a public API?

No. MakeMyTrip Group offers no public reviews or hotel-data API for MakeMyTrip or Goibibo. This actor is an unofficial API alternative: it reads the public review and hotel-detail feeds and returns them as structured JSON/CSV, with no login or API key required.

Can I use this actor through an MCP Server?

Yes. The actor is exposed through Apify's MCP server, so AI agents (Claude, LangChain, and other MCP clients) can discover and run it autonomously. Pass startUrls or hotelIds; the lean input schema and typed output are designed for blind agent execution.

Can I export hotel reviews to CSV or Excel?

Yes. The Output tab offers JSON, JSONL, CSV, Excel, and HTML downloads on both the Reviews and Hotels datasets. The Overview view is column-ordered for clean import into Google Sheets or Excel. For large exports use the Apify API.

Can I scrape incrementally instead of refetching everything?

Yes. Set sortBy: "mostRecent" and fromDate to your last scrape date. The actor stops paginating once it crosses the date floor — much faster and cheaper than a full re-scrape. Each incremental run typically costs a few cents per hotel.

Do I need a MakeMyTrip account, API key, or proxy?

No. Only an Apify account (free) is required — no MakeMyTrip or Goibibo login, no API key, no proxy setup. Apify's built-in datacenter proxy is bundled and works for both brands out of the box; if Goibibo returns no data from your region, switch the proxy country in the Advanced section.

Is scraping MakeMyTrip legal?

This actor extracts publicly visible data — no login is required and no rate-limit bypass is performed. Whether your downstream use is permissible depends on your jurisdiction's regulations (GDPR, India's DPDP Act, CCPA, etc.) and on the platforms' Terms of Service for the data category you collect. Reviewing both is your responsibility before deploying at scale. See Apify's guide on whether web scraping is legal.

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Related Actors

Pair MakeMyTrip & Goibibo Reviews Scraper with our other FactDen actors on the Apify Store:

• Trip.com & Ctrip Reviews Scraper — bilingual hotel reviews across Trip.com and Ctrip (携程)
• Expedia Reviews Scraper — hotel reviews and sentiment across Expedia Group brands
• Hotels.com Reviews Scraper — hotel ratings, review text, and sentiment from Hotels.com
• Google Hotels Scraper — live hotel prices, OTA rate ladder, and guest reviews from Google Hotels
• G2 Reviews Scraper — B2B SaaS competitive intelligence and review data
• Indeed Jobs Scraper — job listings, salaries, and company profiles across 60+ countries

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Changelog

v1.0 - Public launch (2026-07-XX)

Initial public release. Dual-brand MakeMyTrip + Goibibo review extraction in one run, free Hotels dataset (star class, property type, geo, PIN, sub-ratings), review photos with AI scene-tags, LLM-ready markdownContent, pay-per-event pricing with tiered discounts, and raw hotel-ID input.

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Support & maintenance

⭐ Found this useful? Leaving a quick review on this page helps other travel-data teams discover the actor — and tells us what to build next. Thank you!

Actively maintained. Bug reports and feature requests are typically triaged within 1–2 business days.

• Apify Issues tab — primary support channel; include the run ID, one example URL, and what you expected vs what you saw.
• Email — support@factden.com for private / billing / partnership questions.

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Built by factden on the Apify platform. Try the MakeMyTrip & Goibibo Reviews Scraper free with Apify's $5 monthly credit — covers ~2,000 reviews on first run.