Dataset · Travel Intelligence

Kayak Travel Data for Madrid, flights, hotels & prices

Complete travel dataset for Madrid, Spain — flight prices, hotel rates, availability, and travel trends sourced from Kayak. Delivered as JSON, CSV, or Excel, refreshed daily.

Tracking Madrid travel data in real time
50K+Travel records
DailyPrice & availability refresh
14Structured fields
madrid-travel-data.json
✈️ Flight prices
Round‑trip & one‑way
🏨 Hotel rates
Availability & ratings
✈️Flights to MadridAll major airlines & routes
🏨Hotels in Madrid3,000+ properties
🗂️JSON, CSV & ExcelSame schema, any format
🔄Daily refreshPrices & availability

Trusted data from leading platforms

Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip Expedia Shopee Tripadvisor Amazon Flipkart Swiggy Zepto Blinkit Booking Airbnb MakeMyTrip
Overview

Madrid travel data, without the complexity of building a scraper

Madrid is one of Europe's most visited cities, with millions of travelers searching for flights and hotels every day. But getting reliable, structured travel data is a challenge — Kayak uses aggressive anti‑bot measures, dynamic pricing, and complex search parameters that make scraping a maintenance nightmare.

The Kayak Travel Dataset — Madrid gives you clean, structured data on flight prices, hotel rates, availability, and travel trends. You get the intelligence without the infrastructure.

  • Flight prices — round‑trip, one‑way, and multi‑city
  • Hotel rates and availability for 3,000+ properties
  • Travel date ranges — weekends, holidays, seasonal peaks
  • Airline and hotel ratings & reviews
  • Free sample export before you commit
See it before you buy it

The same Madrid travel records, in whichever format your stack expects

No conversion step, no separate schema to learn – switch formats any time without touching your pipeline.

madrid-travel-data.json
[
  {
    "type": "flight",
    "origin": "London (LHR)",
    "destination": "Madrid (MAD)",
    "price": 129.99,
    "airline": "Iberia",
    "travel_date": "2026-09-15",
    "last_updated": "2026-07-26"
  },
  {
    "type": "hotel",
    "name": "Hotel Ritz Madrid",
    "price": 245.00,
    "rating": 4.8,
    "availability": "available",
    "check_in": "2026-09-15",
    "check_out": "2026-09-18"
  }
]
typeorigindestinationpriceairlinetravel_datelast_updated
flightLondon (LHR)Madrid (MAD)129.99Iberia2026-09-152026-07-26
flightNew York (JFK)Madrid (MAD)399.00Delta2026-09-202026-07-26
hotelHotel Ritz Madrid245.002026-09-152026-07-26
hotelNH Collection Madrid189.002026-09-162026-07-26
madrid-travel-data.xlsx
A · typeB · originC · destinationD · priceE · airlineF · travel_date
1flightLondon (LHR)Madrid (MAD)129.99Iberia2026-09-15
2flightNew York (JFK)Madrid (MAD)399.00Delta2026-09-20
3hotelHotel Ritz Madrid245.002026-09-15
4hotelNH Collection Madrid189.002026-09-16
How it works

From request to a running travel data feed

1

Request a sample

Tell us the travel dates and categories you care about – no commitment needed.

2

Review real data

We send a live export so you can check schema, coverage, and quality against your own use case.

3

Pick a plan

Choose coverage and refresh frequency based on what the sample showed you.

4

Choose your delivery

JSON, CSV, Excel, S3, or a direct warehouse connection – set once, delivered on schedule.

5

Data keeps flowing

Daily refresh on prices and availability, with monitoring in place if Kayak changes anything upstream.

Why choose ScraperScoop

What makes this travel dataset reliable

🛡️

Built for Kayak's anti‑bot measures

Kayak uses aggressive anti‑scraping, dynamic pricing, and complex search parameters. Our infrastructure is engineered specifically to handle these challenges at scale.

⏱️

Daily refresh on prices and availability

Flight and hotel prices can change multiple times a day. We refresh daily by default, with more frequent options available on Growth and Enterprise plans.

📅

Multi‑date coverage

We capture data across weekends, holidays, and seasonal peaks so you can analyze price fluctuations and demand patterns for Madrid.

🧩

One schema, every format

JSON, CSV, and Excel exports all share the same field names and types, so moving between tools or formats never means remapping your pipeline.

📊

99.95% uptime SLA

The dataset runs on the same infrastructure as our enterprise API, backed by a contractual uptime commitment on Growth and Enterprise plans.

🧑‍💻

A team that answers

Questions about schema, coverage, or a field you don't see get answered by someone who understands the dataset, not a ticket queue.

Dataset schema

Every field included, in plain terms

FieldDescriptionType
typeFlight or hotel recordCore
originDeparture city (for flights)Core
destinationArrival city (for flights) or hotel nameCore
priceCurrent price (flight or hotel)Pricing
airlineAirline name (for flights)Core
travel_dateDate of travel / check‑inCore
check_outCheck‑out date (for hotels)Optional
ratingStar rating (hotel)Optional
availabilityRoom or flight availabilityCore
cabin_classEconomy, Business, First (for flights)Optional
stopsNumber of stops (for flights)Optional
hotel_addressHotel address (for hotels)Optional
review_countTotal number of reviews (hotel)Optional
last_updatedTimestamp of most recent refreshCore
Pricing

Priced by coverage, not by seat

Every plan includes JSON, CSV, and Excel delivery, plus a free sample before you commit.

Sample

Validate schema and quality before buying.

Free
500 sample records, one-time export
  • Real, current Madrid travel data
  • JSON, CSV, or Excel
  • Delivered within 1 business day
Request free sample

Starter

A defined travel date range, daily refresh.

$399/ month
Up to 250,000 records, daily refresh
  • 1 destination (Madrid)
  • Daily price & availability refresh
  • JSON, CSV & Excel delivery
  • Email support
Get started

Enterprise

Full coverage, custom SLA.

Custom
Full travel dataset, all date ranges
  • All routes and properties
  • 99.95% uptime SLA
  • Dedicated account manager
  • Custom schema fields on request
Talk to sales
Delivery options

Get it however your team already works

JSON CSV Excel (.xlsx) Amazon S3 Snowflake / BigQuery REST API access Webhooks
Why not build it yourself

Dataset vs. an in‑house Kayak scraper

CapabilityScraperScoop DatasetIn‑house scraper
Time to first dataSame day (sample)Weeks to months
Anti‑bot handling±
Multi‑date coverage±
Maintenance when Kayak changesHandled for youYour team's responsibility
Excel‑ready export
What customers say

Teams using Madrid travel data to power their business

★★★★★

"We built a price prediction model for Madrid flights using this dataset. The daily refresh gives us the accuracy we need to recommend optimal booking times."

JR
Head of Data ScienceTravelAI
★★★★★

"We were scraping Kayak ourselves for Madrid hotel rates and it broke every few days. ScraperScoop gave us reliable data in days, not months."

MP
CTOHotelMate
★★★★★

"The Excel export is a game-changer for our merchandising team. They can filter by date and see price trends instantly without writing any code."

AS
VP of ProductVoyageLabs
Frequently asked

Questions about the Kayak Travel Dataset — Madrid

The dataset includes flight prices (round‑trip and one‑way), hotel rates, availability, travel dates, airline names, hotel ratings, and price trends for Madrid, Spain — all structured for travel intelligence and market analysis.
Flight and hotel prices refresh daily by default, with hourly updates available on Growth and Enterprise plans. Availability is checked in near real‑time.
Yes. We capture pricing and availability across a range of travel dates — including weekends, holidays, and seasonal peaks — so you can analyze price fluctuations and demand patterns.
Yes. The dataset is available as JSON, CSV, or Excel (.xlsx), with the same schema across all three formats.
Yes. Every plan includes a free sample export of real records so you can validate schema, coverage, and data quality before choosing a plan.

See real Madrid travel data before you decide anything

Request a free sample and validate the dataset against your specific use case – flight price monitoring, hotel rate analysis, or travel trend forecasting.

No commitment required to see real data first.

Free sample export JSON, CSV & Excel Daily price updates
From the blog

Insights on retail pricing strategy

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