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MakeMyTrip Scraper - Scrape MakeMyTrip Flight, Hotel, and Holiday Data

RealdataAPI / makemytrip-scraper

Real Data API enables businesses to access accurate and real-time travel intelligence using the MakeMyTrip Scraper. With advanced automation, companies can seamlessly collect pricing, availability, and offers across flights, hotels, and holiday packages. Our solution supports MakeMyTrip API data scraping to deliver structured datasets that help travel agencies, OTAs, and analysts track competitors, optimize pricing strategies, and forecast demand. By leveraging tools to Scrape MakeMyTrip flight, hotel, and holiday data, organizations gain a competitive edge through faster insights, improved market visibility, and smarter decision-making in the dynamic travel and tourism industry. All this is possible with the help of makemytrip Travel Dataset.

What is MakeMyTrip Data Scraper, and How Does It Work?

A MakeMyTrip data scraper is an automated tool designed to collect structured travel information such as flight prices, hotel availability, and holiday packages from the platform. Using advanced crawling and parsing techniques, it scans webpages, identifies relevant data fields, and converts unstructured content into usable datasets. Businesses rely on this process to track trends, analyze competitors, and optimize pricing strategies. A modern MakeMyTrip travel data scraper works in real time or at scheduled intervals, ensuring that companies always have the most up-to-date insights to make faster, data-driven decisions in the competitive travel industry.

Why Extract Data from MakeMyTrip?

Extracting data from MakeMyTrip helps travel agencies, OTAs, and analysts gain deep insights into market behavior. By monitoring airfare trends, hotel rates, and seasonal demand, businesses can create competitive pricing models and targeted marketing strategies. Access to historical and real-time information also supports demand forecasting and inventory planning. With MakeMyTrip pricing data scraping, organizations can detect sudden price changes, track promotional campaigns, and benchmark their offerings against competitors. This intelligence allows companies to improve customer experience, maximize profitability, and stay ahead in a fast-moving digital travel marketplace.

Is It Legal to Extract MakeMyTrip Data?

The legality of extracting data from MakeMyTrip depends on how the data is collected and used. Businesses must respect website terms of service, copyright laws, and regional data protection regulations. Ethical scraping focuses on publicly available information and avoids overloading servers or accessing restricted content. When done responsibly, MakeMyTrip travel booking data extractor solutions can support legitimate market research, price comparison, and business intelligence needs. Companies should always consult legal guidelines and adopt compliant scraping practices to ensure their data collection activities remain transparent, secure, and aligned with regulatory standards.

How Can I Extract Data from MakeMyTrip?

There are several ways to extract data from MakeMyTrip, including using custom-built scrapers, third-party tools, or professional data extraction services. The process typically involves identifying target pages, setting extraction rules, and automating data collection at scheduled intervals. APIs and proxy management help maintain accuracy and scalability. By implementing MakeMyTrip hotel and flight data extraction, businesses can gather detailed insights on availability, pricing, and customer preferences. This structured data can then be integrated into dashboards, CRM systems, or analytics platforms to support smarter business strategies and operational efficiency.

Do You Want More MakeMyTrip Scraping Alternatives?

If your business needs broader data access or enhanced reliability, exploring alternative scraping methods is a smart move. Options include using managed data APIs, hybrid scraping models, or partnering with professional data service providers. These solutions offer scalability, legal compliance, and real-time delivery. With a Real-time MakeMyTrip travel data API, companies can avoid technical complexities while gaining instant access to fresh travel insights. This approach ensures consistent data flow for pricing analysis, competitor tracking, and demand forecasting—helping businesses stay agile and competitive in the evolving travel technology ecosystem.

Input options

Input options allow users to define how travel data is collected, filtered, and delivered for analysis. You can choose specific routes, travel dates, hotel locations, price ranges, or package types to customize your data extraction process. These flexible configurations ensure that only relevant and actionable information is captured for your business needs. By using advanced tools to Extract MakeMyTrip listings and availability data, companies can automate updates, track real-time changes, and build accurate datasets for pricing, competitor analysis, and demand forecasting. This tailored approach improves data accuracy, saves time, and supports smarter decision-making across travel operations.

Sample Result of MakeMyTrip Data Scraper

import requests
from bs4 import BeautifulSoup

url = "https://www.makemytrip.com/hotels/"
headers = {"User-Agent": "Mozilla/5.0"}

response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, "html.parser")

hotels = soup.select(".listingRow")  # sample selector
for hotel in hotels[:5]:
    name = hotel.select_one(".hotelName").get_text(strip=True)
    price = hotel.select_one(".priceText").get_text(strip=True)
    print(name, price)


Integrations with MakeMyTrip Scraper – MakeMyTrip Data Extraction

Integrations with MakeMyTrip Scraper streamline the way businesses collect, manage, and analyze travel data across platforms. By connecting data pipelines with CRMs, BI tools, and pricing engines, companies can automate insights for smarter decision-making. These integrations enable seamless data flow for airfare trends, hotel availability, and holiday package comparisons. Using a MakeMyTrip catalog scraper for travel market insights, organizations gain structured access to large-scale travel datasets that support competitor analysis, demand forecasting, and dynamic pricing strategies. The result is faster reporting, improved accuracy, and enhanced visibility into market movements across the travel and tourism ecosystem.

Executing MakeMyTrip Data Scraping with Real Data API

Executing MakeMyTrip data scraping with Real Data API allows businesses to access structured, reliable, and real-time travel intelligence without managing complex scraping infrastructure. Using the MakeMyTrip Data Scraping API, companies can seamlessly collect information on flight fares, hotel availability, and holiday packages for analytics and automation. This approach ensures high accuracy, faster data delivery, and full scalability for growing data needs. With access to the makemytrip Travel Dataset, organizations can track market trends, monitor competitors, and forecast demand effectively. Real Data API transforms raw travel data into actionable insights that support smarter pricing, planning, and decision-making strategies.

You should have a Real Data API account to execute the program examples. Replace in the program using the token of your actor. Read about the live APIs with Real Data API docs for more explanation.

import { RealdataAPIClient } from 'RealDataAPI-client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '',
});

// Prepare actor input
const input = {
    "categoryOrProductUrls": [
        {
            "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
        }
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useRealDataAPIProxy": true
    }
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("junglee/amazon-crawler").call(input);

    // Fetch and print actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();
from realdataapi_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("")

# Prepare the actor input
run_input = {
    "categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
    "maxItems": 100,
    "proxyConfiguration": { "useRealDataAPIProxy": True },
}

# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)

# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare actor input
cat > input.json <<'EOF'
{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
EOF

# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
  -X POST \
  -d @input.json \
  -H 'Content-Type: application/json'

Place the Amazon product URLs

productUrls Required Array

Put one or more URLs of products from Amazon you wish to extract.

Max reviews

Max reviews Optional Integer

Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.

Link selector

linkSelector Optional String

A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.

Mention personal data

includeGdprSensitive Optional Array

Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.

Reviews sort

sort Optional String

Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.

Options:

RECENT,HELPFUL

Proxy configuration

proxyConfiguration Required Object

You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.

Extended output function

extendedOutputFunction Optional String

Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.

{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "detailedInformation": false,
  "useCaptchaSolver": false,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
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