MakeMyTrip Property Reviews & Ratings API A Case Study by Actowiz Solutions

Introduction

In online travel, reviews and ratings decide bookings.

For hotel chains, property managers, and travel-tech companies, platforms like MakeMyTrip (MMT) are critical. Guests often check MMT reviews before confirming a stay, which means:

• A few negative reviews can impact conversion
• Ratings trends can signal service issues
• Recent reviews reflect real-time guest experiences

One of Actowiz Solutions’ clients wanted a web scraping API service focused only on MakeMyTrip property reviews and ratings.

Important scope clarification from day one:

“We don’t need flight-related data. Just hotels / properties – their reviews and ratings.”

This case study explains how Actowiz Solutions designed a MakeMyTrip Reviews & Ratings API that delivers clean, structured, and ready-to-analyze data for thousands of properties across India.

Client Background

The client is an Indian travel / hospitality analytics and operations team that:

• Tracks customer experience (CX) across multiple OTAs
• Benchmarks their partner hotels against competitors
• Wants to feed reviews into internal dashboards & BI tools

They were heavily dependent on:

• Manual checks of MakeMyTrip reviews
• Inconsistent, limited exports
• Third-party tools that did not support property-level, India-focused customization

So they approached Actowiz Solutions for a web scraping API that can:

• Focus specifically on MMT hotel/property pages
• Fetch reviews + ratings only
• Work at scale across multiple cities and states

Challenges

3.1 No Direct, Flexible API for Reviews

They needed raw review data with:

• Full review text
• Overall rating
• Sub-ratings (if available)
• Date of review
• Reviewer details (where public)

Most third-party APIs didn’t give them:

• Full control on which properties to track
• The flexibility to add/remove property URLs
• Custom field-level mapping

3.2 High Volume & Pagination

Each property page on MakeMyTrip can have:

• Hundreds or thousands of reviews
• Multiple pages of review content
• Filters (recent / older / rating filter etc.)

Manually handling pagination and collecting all reviews was time-consuming and error-prone.

3.3 Data Consistency Across Many Hotels

The client wanted to scale from:

• A few dozen to
• Hundreds or thousands of hotels / properties

That meant the solution had to:

• Maintain consistent structure
• Handle different layouts / templates
• Support continuous additions of new property URLs

3.4 Need for Continuous Refresh

Reviews are dynamic:

• New reviews added every day
• Ratings change over time
• Recent reviews matter more than old ones

They wanted regular updates (daily / weekly) depending on property importance.

3.5 Clean, Analysis-Ready Outputs

The client didn’t just want raw HTML dumps. They needed:

• Structured JSON / CSV
• Clean fields for direct dashboard use
• Easy exports into Excel / Google Sheets / BI tools

Actowiz Solutions – Approach

Actowiz Solutions proposed a dedicated MakeMyTrip Reviews & Ratings Scraping API that:

• Focuses ONLY on properties (hotels, stays, resorts, etc.)
• Allows client to input property URLs
• Returns clean, structured review and rating data

Solution Design

5.1 URL-Based Property Input

The system lets the client:

• Paste one or more MakeMyTrip property URLs
• Upload bulk lists (CSV/Excel)
• Add/remove properties over time

For each URL, Actowiz:

• Detects property ID / slug
• Identifies the reviews section
• Handles all pagination automatically

5.2 Data Points Collected per Review

For each property, the scraper captures:

• Property ID / Name
• Location (city, state, area if available)
• Overall Rating (average rating on MMT)
• Total Number of Reviews

For each individual review:

• Review ID (if available)
• Reviewer Name (or masked identifier, as shown)
• Stay Type (e.g., Family, Couple, Solo, Business – when available)
• Rating (out of 5)
• Review Title (if present)
• Detailed Review Text
• Check-in / Stay Date (if visible)
• Review Posted Date
• Room Type (if indicated)
• Sub-ratings (e.g., Cleanliness, Location, Service, Value – where visible)
• Helpful / likes count (if MMT shows it)

5.3 Reviews & Ratings Summary per Property

For each property, Actowiz also generates a summary block, including:

• Average rating
• Total reviews count
• Distribution of ratings (5-star / 4-star / 3-star / etc.)
• Latest review date
• Earliest review date captured

This gives the client an instant view of:

• How a property is performing overall
• How fresh the feedback is
• Whether rating trends are improving or declining

5.4 Output Format & Delivery

The MakeMyTrip reviews and ratings data is provided in multiple formats:

• JSON (for API integrations)
• CSV / Excel (for manual analysis and sharing)
• Direct integration into dashboards such as Power BI, Tableau, Looker, etc.

Delivery options:

• REST API
• Secure cloud folder / S3 bucket drops
• Email / SFTP-based periodic data dumps

5.5 Update Frequency

Actowiz configured flexible refresh options:

• Daily fetch for priority hotels
• Weekly fetch for broader coverage
• On-demand refresh option for specific audits or campaigns

The client can choose frequency property-wise or segment-wise.

Use Cases Enabled for the Client

With this MakeMyTrip reviews and ratings API, the client could:

7.1 CX & Reputation Monitoring

• Track hotel performance over time
• Identify hotels with sudden drops in ratings
• Monitor impact of operational changes on reviews

7.2 Hotel Partner Benchmarks

For a chain or aggregator:

• Compare multiple properties within the same city
• Benchmark own properties vs competing hotels nearby
• Use review data in quarterly business reviews (QBRs)

7.3 Insights for Operations & Training

By mining review text, they could identify:

• Common complaints: cleanliness, check-in delays, food quality
• Frequently praised aspects: staff friendliness, location, views
• Property-specific issues that need escalation

7.4 Marketing & Campaign Impact Measurement

Before and after a:

• Renovation
• New manager joining
• Special package launch

…review trends could be compared to measure impact.

Technical Highlights

8.1 Robust Scraper Architecture

• Handles pagination for all review pages
• Automatically skips duplicates on re-runs
• Detects layout changes and flags anomalies for quick fixes

8.2 Scalability

• Supports few properties → thousands of properties
• Can be extended to other OTAs (Booking.com, Goibibo, etc.) when needed

8.3 Error Handling & Monitoring

• Retry logic for failed requests
• Health checks and alerts
• Logging for debugging and SLA tracking

Business Impact

After integrating Actowiz’s MakeMyTrip reviews & ratings API, the client achieved:

9.1 Centralized Visibility

All property reviews across multiple cities were visible in:

• One internal dashboard
• With filters for city, property, rating band, date range

9.2 Faster Decision-Making

• Issues are spotted early
• Negative trends trigger quick interventions
• Good reviews are used in marketing & branding

9.3 Productivity Gains

Manual review copying / tracking time dropped drastically:

• From many hours per week
• To a fully automated feed that just needs monitoring

9.4 Stronger Hotel Partnerships

The client could share data-backed insights with hotels:

• “Guests are consistently complaining about breakfast variety.”
• “Your location rating is strong, but cleanliness is pulling the total rating down.”

This improved discussions and helped hotels act on concrete feedback.

Why Actowiz Solutions for MakeMyTrip Scraping?

• Deep experience with OTA, travel, and hotel data scraping
• Ability to customize per platform & per client use case
• Flexible data delivery: APIs, files, dashboards
• Support for only property reviews/ratings as requested (no flights, no irrelevant noise)
• Scalable, monitored, and SLA-backed systems

Conclusion

For any company that needs MakeMyTrip property reviews and ratings at scale, manual tracking is not sustainable.

Actowiz Solutions built a focused, API-driven web scraping solution that:

• Tracks only hotel/property pages
• Extracts detailed reviews & ratings
• Delivers clean, structured, analysis-ready data
• Updates daily or weekly as required

Whether you are:

• A hotel chain
• A travel-tech startup
• A CX analytics company
• A consulting or insights agency

…Actowiz can power your review intelligence across MakeMyTrip and other major travel platforms.