Travel Scraping API to pull fare, stay & booking data on demand

Extract structured flight, hotel, package and car-rental data from 50+ global travel platforms through a single API. Fares, availability, reviews and provider details, delivered in the format your systems already expect.

50+travel platforms covered
300M+fare & rate records tracked monthly*
98.9%field-level accuracy*
Live extraction feed
sample preview
Menu item
Platform
Status
Price
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*Illustrative figures β€” final numbers are scoped to your project during onboarding.

Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot
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Search or listing URL

Flight route, hotel, package, or rental page

Extraction engine

Rendering, proxies, CAPTCHA handling

Normalization

Schema, currency & date/time mapping

Your systems

API, warehouse, or webhook

What a travel scraping API actually does

Instead of manually checking fares and rates across dozens of booking sites, you send a request β€” a route and date, a hotel URL, a search query, or a provider's listing page β€” and get back clean, structured data: price, availability, cabin or room class, cancellation terms, ratings and more. The rendering, proxy rotation, CAPTCHA handling and HTML parsing all happen behind the API; you just call an endpoint and receive data.

Built for teams that watch the travel market for a living

Core capabilities

Flight search & fare extraction

Pull live fares, cabin classes, layovers and seat availability for a given route and date, across OTAs and airline sites.

Hotel & accommodation data

Room rates, availability, amenities and cancellation terms from booking platforms and direct property sites.

Package & tour data

Bundled flight-plus-hotel packages, tour pricing and itinerary inclusions from travel marketplaces.

Car rental rate extraction

Daily rates, vehicle class, pickup/drop-off terms and provider inventory by location and date range.

Review & ratings extraction

Guest and traveler review text, star ratings and verified-stay flags for sentiment and quality analysis.

Bulk & scheduled jobs

Submit thousands of routes or properties at once, or set a recurring interval so fares refresh on their own.

The full data-field set

Field availability varies slightly by platform and travel vertical. Anything outside this standard set β€” loyalty pricing tiers, ancillary fees, fare-rule text β€” can be added as a custom field.

Category Fields
Flight identity Airline, flight number, origin/destination, departure & arrival time, aircraft type, stops/layovers
Pricing & fares Base fare, taxes & fees, total price, currency, fare class, price-history snapshot, refundability
Hotel / accommodation Property name, star rating, room type, bed configuration, amenities, check-in/out policy
Availability Seats or rooms remaining, sold-out flag, minimum stay, booking window, waitlist status
Reviews & ratings Average rating, total review count, rating distribution, review text, review date, verified-stay flag
Provider data Supplier/OTA name, seller rating, cancellation policy, payment options, loyalty program tie-ins
Itinerary & booking Trip duration, baggage allowance, meal inclusion, transfer details, booking reference format
Merchandising signals Deal badges (best price, limited offer), rank in search results, related/alternative listings

What the data looks like across verticals

Three records from three different platforms β€” flights, hotels, and car rentals. Values below are illustrative.

makemytrip.com
RDA-TR-0041027

DEL β†’ JFK Β· Air India AI-101

$612
ClassEconomy
StopsNon-stop
StatusOpen
booking.com
RDA-TR-0058813

The Ridgeway Hotel, Nairobi

$94/night
RoomDeluxe Twin
Rating4.5 (2,210)
CancellationFree until 48h
kayak.com
RDA-TR-0062940

Compact SUV, Lisbon Airport (LIS)

$41/day
ProviderEuropcar
PickupTerminal 1
StatusAvailable
{
    "record_id": "RDA-TR-0041027",
    "vertical": "flight",
    "airline": "Air India",
    "flight_number": "AI-101",
    "route": { "origin": "DEL", "destination": "JFK" },
    "departure": "2026-11-12T02:15:00+05:30",
    "fare": { "currency": "USD", "total_price": 612.00, "class": "Economy" },
    "availability": { "status": "Open" },
    "provider": { "name": "MakeMyTrip" },
    "scraped_at": "2026-09-19T04:12:03Z"
}

Call it from wherever you build

A single request returns a structured fare or rate record. Below is the same call in three languages.

# Fetch a single flight fare record
curl -X POST https://api.realdataapi.com/v1/travel/flight \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"origin": "DEL", "destination": "JFK", "date": "2026-11-12"}'
import requests

resp = requests.post(
    "https://api.realdataapi.com/v1/travel/flight",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"origin": "DEL", "destination": "JFK", "date": "2026-11-12"}
)
data = resp.json()
print(data["fare"]["total_price"])
const res = await fetch("https://api.realdataapi.com/v1/travel/flight", {
    method: "POST",
    headers: {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    body: JSON.stringify({ origin: "DEL", destination: "JFK", date: "2026-11-12" })
});
const data = await res.json();

Endpoint and key format above are illustrative β€” your onboarding call includes real credentials and the current endpoint reference.

How it works

01

Submit a request

A route and date, hotel URL, search term, or provider page β€” via API call or bulk upload.

02

We fetch the page

Rotating residential and datacenter IPs, headless rendering and CAPTCHA handling run behind the scenes.

03

Raw HTML is parsed

Content is mapped into the structured field set relevant to that platform's layout.

04

Data is validated & normalized

Currencies, time zones, and fare classes are standardized across sources.

05

Output is delivered

As JSON or CSV, or pushed to your webhook, cloud storage, or database.

Extract country-wise travel data

IN

India

Delivery formats & where the data lands

Format Best for
REST API (JSON) Live fare and rate lookups embedded in your booking flow
CSV / Excel export Analysts and revenue teams working in spreadsheets
Webhook push Event-driven pipelines reacting to fare or rate changes
Cloud storage drop (S3, GCS, Azure Blob) Scheduled bulk feeds into a data warehouse
Direct database load Data landing straight into PostgreSQL, MySQL, or Snowflake

Commonly connected downstream to: Google Sheets, BigQuery, Snowflake, revenue management systems, and Zapier-style automation tools.

What teams build with it

Pricing

Dynamic fare & rate pricing

Feed competitor fares and rates into your pricing engine so listings adjust automatically within your rules.

Compliance

Rate parity monitoring

Detect when a property's price on one channel undercuts the rate it's contracted to hold elsewhere.

Aggregation

Meta-search feeds

Pull live fares and rates from multiple suppliers into a single comparison feed for your platform.

Planning

Demand & route planning

Track which routes and destinations are trending, selling out, or newly launched across competitors.

Product

Voice-of-traveler analysis

Mine review text at scale to surface recurring complaints or praised amenities ahead of your next season.

Strategy

Market-entry research

Understand fare bands, provider density, and route coverage in a market before launching there.

Building this in-house vs. using our API

In-house scraping team
RealData Travel API
Time to first dataset
Weeks to months
Days
Proxy & CAPTCHA handling
Built and maintained by you
Included
Upkeep when a site changes layout
Ongoing engineering time
Handled for you
Scaling to new travel platforms
New build per site
Add to existing pipeline
Core engineering focus
Split with scraping upkeep
Stays on your product

Plans that scale with your routes

Exact pricing depends on platforms, fields, and refresh frequency β€” these tiers describe how engagements are typically structured.

Starter

Self-serve API

  • Single-platform access
  • Standard field set
  • Daily or weekly refresh
  • Email support
Talk to sales
Enterprise

Full-scale deployment

  • Tens of millions of fare/rate records
  • Dedicated pipeline & support
  • Custom SLA & contract terms
  • Direct database integration
Request a quote

Accuracy, scale, and how we handle data responsibly

Getting started

01

Tell us what you need

The platforms, routes or regions, and data fields that matter for your business.

02

We scope a pilot

Typically a sample dataset from 2–3 target sites within 2–5 business days.

03

Review the sample

Adjust fields or frequency until the data matches what you need.

04

Move to production

Your feed goes live on the delivery method and schedule you choose.

"

"We stopped rechecking fares by hand once this feed went live β€” the pricing rules just run now, and the team spends that time on route planning instead."

Revenue management lead , mid-market OTA

Illustrative placeholder β€” swap in a verified client quote before publishing.

Questions, answered

Do I need coding experience to use this API?

Basic API integration knowledge helps, but our team can also deliver data as ready-made CSV or Excel files if you'd rather skip direct API calls.

Can you scrape a travel platform that isn't on your list?

In most cases, yes. New platform integrations are scoped case by case depending on site complexity.

Is historical fare data available, or only current prices?

Both. You can request point-in-time snapshots going forward, and in many cases we can build a historical fare-trend feed once tracking begins.

What happens if a platform changes its page layout?

Our monitoring flags layout changes and our team updates the extraction logic β€” typically without any action needed on your end.

How is pricing structured?

Pricing depends on the number of platforms, fields, and refresh frequency you need. Most engagements start with a scoped pilot so you can see real output before agreeing on a plan.

Are there rate limits on the API?

Yes, limits scale with your plan tier. Enterprise plans can be configured for sustained high-volume throughput.

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