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

RealdataAPI / kayak-scraper

Kayak Scraper for Real Data API enables seamless access to structured, real-time travel intelligence from Kayak. It allows businesses to Scrape Kayak flight, hotel, and holiday data efficiently, capturing pricing, availability, routes, amenities, and package details in a standardized format. Powered by scalable infrastructure, the solution supports high-frequency data extraction ideal for analytics, comparison engines, and market research. With Kayak API data scraping, Real Data API users can integrate fresh, reliable travel datasets directly into dashboards, BI tools, or internal systems. From airfare trend analysis to hotel rate monitoring and holiday package insights, this scraper delivers actionable data with accuracy and speed—helping travel platforms, agencies, and analysts make smarter, data-driven decisions in a highly competitive market.

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

A Kayak travel data scraper is a specialized tool designed to automatically collect structured travel information from Kayak, including flights, hotels, and holiday listings. It works by simulating user interactions on the platform, capturing relevant data points such as prices, availability, routes, dates, and amenities. The scraper processes unstructured web content and converts it into clean, usable datasets. Advanced scrapers handle dynamic content, frequent updates, and large-scale requests while maintaining accuracy. Businesses use this data for analytics, price comparison, market research, and competitive intelligence, enabling them to make informed decisions based on comprehensive travel market visibility.

Why Extract Data from Kayak?

Extracting data from Kayak provides valuable insights into global travel trends, competitive pricing, and consumer demand. With Kayak pricing data scraping, businesses can monitor airfare fluctuations, hotel rate changes, and seasonal pricing patterns across destinations. This data helps travel agencies, aggregators, and analysts optimize pricing strategies, forecast demand, and identify cost-saving opportunities. Kayak aggregates data from multiple providers, making it a rich source of market intelligence. Access to this consolidated information allows companies to benchmark offerings, enhance transparency, and deliver better value to customers in a highly competitive travel ecosystem.

Is It Legal to Extract Kayak Data?

The legality of data extraction depends on how it is performed and how the data is used. A Kayak travel booking data extractor must follow ethical scraping practices, respect applicable laws, and comply with platform terms where required. Generally, extracting publicly available data for research, analysis, or internal intelligence is permissible when done responsibly and without misuse. Businesses should avoid violating user privacy, overloading servers, or redistributing restricted content. Working with experienced data providers ensures compliance, risk mitigation, and adherence to regional data regulations while leveraging Kayak data safely and effectively.

How Can I Extract Data from Kayak?

There are multiple ways to extract travel data from Kayak, ranging from custom-built scrapers to managed data solutions. Kayak hotel and flight data extraction can be achieved using automated crawlers, APIs, or third-party data providers that handle complexity and scalability. These tools collect structured information such as prices, schedules, availability, and ratings across routes and destinations. For businesses lacking in-house technical expertise, outsourcing data extraction ensures accuracy, reliability, and compliance. The extracted data can be integrated into analytics platforms, dashboards, or applications for real-time decision-making.

Do You Want More Kayak Scraping Alternatives?

If Kayak alone does not meet all your data needs, exploring alternatives can provide broader market coverage. A Real-time Kayak travel data API can also be complemented with data from other travel platforms to gain deeper insights into pricing and availability. Multi-source data collection helps reduce dependency on a single platform and improves accuracy through comparison. Many businesses choose managed APIs and custom datasets that aggregate travel data across sources, ensuring scalability and freshness. Exploring these alternatives enables more comprehensive travel intelligence and stronger competitive positioning.

Input options

Input Option allows users to configure precise parameters to collect travel data efficiently. With this setup, businesses can Extract Kayak listings and availability data by defining routes, travel dates, destinations, cabin classes, hotel categories, and occupancy preferences. Users can also select data frequency, location filters, and output formats to align with specific analytics or operational needs. This flexible input structure ensures accurate data extraction tailored to business objectives. By customizing inputs, organizations gain cleaner datasets, reduce unnecessary data volume, and improve insight quality, enabling faster analysis, better forecasting, and more informed decision-making across travel intelligence workflows.

Sample Result of Kayak Data Scraper

{
  "search_metadata": {
    "source": "Kayak",
    "extraction_date": "2026-01-27",
    "currency": "USD",
    "locale": "en-US"
  },
  "flight_results": [
    {
      "origin": "JFK",
      "destination": "LAX",
      "departure_date": "2026-03-15",
      "return_date": "2026-03-22",
      "airline": "Delta Airlines",
      "flight_number": "DL405",
      "stops": 0,
      "duration": "6h 10m",
      "price": 328,
      "cabin_class": "Economy",
      "availability": "Available"
    }
  ],
  "hotel_results": [
    {
      "hotel_name": "Hilton Los Angeles Downtown",
      "location": "Los Angeles, CA",
      "check_in": "2026-03-15",
      "check_out": "2026-03-22",
      "room_type": "Deluxe King Room",
      "price_per_night": 189,
      "rating": 4.4,
      "availability": "Available"
    }
  ],
  "holiday_packages": [
    {
      "package_name": "Los Angeles City Explorer",
      "duration_days": 7,
      "includes": ["Flight", "Hotel"],
      "total_price": 1299,
      "availability": "Limited"
    }
  ]
}



Integrations with Kayak Scraper – Kayak Data Extraction

Integrations with Kayak Scraper enable seamless access to structured travel intelligence for analytics and decision-making. By using a Kayak catalog scraper for travel market insights, businesses can connect extracted flight, hotel, and holiday data directly to BI tools, dashboards, and internal systems. These integrations support automated workflows, scheduled updates, and scalable data delivery. With the KAYAK Data Scraping API, organizations can ingest real-time and historical travel data into pricing engines, comparison platforms, and forecasting models. This unified integration approach ensures faster insights, improved accuracy, and efficient use of Kayak travel data across multiple applications.

Executing Kayak Data Scraping with Real Data API

Executing Kayak Data Scraping with Real Data API enables businesses to collect reliable, structured travel intelligence at scale. By accessing a comprehensive Kayak Travel Dataset, organizations can analyze flight routes, hotel pricing, availability, and holiday packages in real time. The process is powered by an automated Kayak Scraper that handles dynamic content, frequent updates, and large data volumes efficiently. With seamless API integration, extracted data flows directly into analytics platforms, dashboards, or internal systems. This approach reduces manual effort, improves data accuracy, and supports faster, data-driven decisions across travel analytics, pricing strategies, and market research.

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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