MakeMyTrip Hotel Reviews Scraper

MakeMyTrip Hotel Reviews Scraper

by krazee_kaushik

Extract MakeMyTrip hotel reviews from multiple URLs at scale with advanced session management. Bulk scrape complete guest feedback, ratings, and hotel...

199 runs
18 users
Try This Actor

Opens on Apify.com

About MakeMyTrip Hotel Reviews Scraper

Extract MakeMyTrip hotel reviews from multiple URLs at scale with advanced session management. Bulk scrape complete guest feedback, ratings, and hotel responses โ€” export to JSON, CSV, Excel โšก๐Ÿ“Š

What does this actor do?

MakeMyTrip Hotel Reviews Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

MakeMyTrip Hotel Reviews Scraper This scraper collects real customer reviews from MakeMyTrip hotel pages. Instead of scrolling through endless review cards, you just paste hotel URLs, set how many reviews you want โ€” and the scraper pulls everything for you: ratings, review text, stay details, travel type, hotel responses, and more. It's a simple way to turn scattered on-page feedback into structured review data that's easy to analyze or use in dashboards, NLP models, automations, research, or competitor tracking. --- ## ๐Ÿ” What This Scraper Extracts For every review, you'll get: - โญ Rating - ๐Ÿงพ Review title & full text - ๐Ÿง‘โ€๐Ÿงณ Traveller details: name, travel type, reviewer badges (if shown) - ๐Ÿ“… Review date & stay details - ๐Ÿ› Room type (where available) - ๐Ÿ’ฌ Hotel reply: responder name, response text, and reply timing - ๐Ÿ“ธ Review images - ๐Ÿ‘ Engagement data: upvotes, reply status - ๐Ÿท Metadata: review ID, crawling flag, and optional cohort tags --- ## โ–ถ๏ธ How To Use It 1. Open any hotel page on MakeMyTrip 2. Copy the URL from your browser 3. Paste it inside the input JSON 4. Choose how many reviews you want per hotel 5. Run the scraper --- ## ๐Ÿ“ฅ What You Need To Provide When running the scraper, you can configure: - Hotel urls: List of hotel details url to scrape - Reviews Limit per url: Limit how many reviews to scrape for each url > ๐Ÿ’ก Tip > > Session creation may take some extra time to establish a reliable connection. Occasional errors are expected and handled via retries and backoff. > > For best performance, keep the reviews limit per URL between 80โ€“120. --- ## ๐Ÿ“ฅ Input Example Here is a sample JSON input you can provide when running the scraper: json { "reviewsPerUrl": 100, "urls": [ "https://www.makemytrip.com/hotels/hotel-details?hotelId=202411081225479161&checkin=11132025&checkout=11152025&country=IN&city=CTBLR&openDetail=true&currency=INR&roomStayQualifier=2e0e&locusId=CTBLR&locusType=city&region=in&funnelName=HOTELS&rsc=1e2e&mpn=false", "https://www.makemytrip.com/hotels/hotel-details?hotelId=201107121143323974&_uCurrency=INR&checkin=11222025&checkout=12162025&city=CTKUU&country=IN&filterData=DPT_COLLECTIONS%7C8_FAMILY_FAVOURITES_KG%5EHOTEL_PRICE_BUCKET%7C0-4000&isCollectionListing=true&lat=32.22619&lng=77.18859&locusId=CTKUU&locusType=city&rank=2&reference=hotel&roomStayQualifier=2e0e&rsc=1e2e0e&searchText=Manali&type=city&mtkeys=undefined" ] } --- Example output (JSON): json { "publishDate": "Jun 01, 2025", "travellerName": "Anil Rai", "badgeUrl": "https://gos3.ibcdn.com/Writer_locked_v1-1522319860.png", "title": "Excellent Stay", "rating": 5, "reviewText": "Located very close to mall road and tibetsn monastery. Access to hotel is narrow restricted lane, however ample parking available. we stayed gor three days and the room had excellent mountain view. Staff is extremely cooperative and hotel provides excellent accommodation and food services alongwith spa, gym, sauna etc.Food is very tasty and well presented. overall value for money. Only issue is that hotel does not provide complimentary food to drivers.Hence, drivers are resentful. Recommend management should give drivers all facilities free just like other hotels in Manali. Recommend strongly to all tourists to try out this nice hotel.", "id": "01JWNT7YSC5VS4GYCDBCYV7E34", "images": [], "responseToReview": [ { "name": "hotelsunpark manali", "responseDate": "Tue Jun 03 13:31:39 IST 2025", "responseText": "Thank you for staying with us during your recent visit and sharing a review. We appreciate your valued views and it has been shared with the concerned team, and we hope you will continue to recommend our hotel to your friends, family and company. Our sincere apologies if any kind of hassles faced during the stay. We look forward to welcome you again in future with our best hospitality services", "repliedAgoText": "Replied in 2 days" } ], "travelType": "FAMILY", "roomType": "Honeymoon Room with Balcony and Bathtub (heated-cooled)", "upvote": 0, "crawledData": false, "stayDetails": "May 2025 (3-Night Stay)", "cohortDetails": "", "upvoted": false } --- ## ๐Ÿ› ๏ธ Troubleshooting & Notes - The Actor is built to handle transient issues, including occasional failed requests or network hiccups. - Failed requests are automatically retried using a smart exponential backoff strategy. - Proper proxy rotation and session management ensure that data extraction remains consistent and uninterrupted. - What this means for you: occasional warnings in logs are normal and do not indicate a failure โ€” the Actor will continue fetching until the requested data is collected or retries are exhausted. Want to dig deeper and compare reviews across platforms? You can grab Ixigo reviews too ๐Ÿ‘‰ Ixigo Hotel Reviews Scraper.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

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Actor Information

Developer
krazee_kaushik
Pricing
Paid
Total Runs
199
Active Users
18
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