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Pricing & Revenue · Dynamic Pricing

Dynamic Pricing Intelligence Stop setting rates. Start reacting to live market data.

IndiGo drops fares on your route at 11pm. Booking.com loads your comp set with a flash deal at 7am. Your pricing engine should already know — and already have responded. TravelScrape feeds live competitor data directly into your pricing logic, 15 minutes after it happens.

Explore Use Cases
  • 100+ OTA data sources
  • 15-min update cadence
  • REST API + Webhook
Dynamic Pricing Engine — Live Feed
PROCESSING
📡
Signal Ingested
IndiGo DEL→BOM dropped ₹1,400 on Skyscanner · 10:47pm
✓
🧮
Market Context Evaluated
SpiceJet, Air India on same route — holding rates
✓
⚡
Repricing Rule Triggered
Rule: "If IndiGo drops >15% AND route load <72% → match"
→
🎯
New Rate Output
Awaiting rule engine confirmation…
…
⚡ Rate Recommendation Ready
₹6,800
Current Your Rate
→
₹5,900
Recommended Rate
+18%
Est. Load Uplift
Triggered by IndiGo −20.6% drop on Skyscanner. Your load factor: 68% (below 72% threshold). SpiceJet & Air India holding → short window to capture price-sensitive segment.
What Is Dynamic Pricing Intelligence?

Your pricing engine is only as smart as the data you feed it

Most pricing engines have great rules. The problem is the input data — stale competitor rates from a morning snapshot, GDS data that's 4 hours old, manual analyst inputs that happen once a day. TravelScrape replaces all of that with a continuous live feed: real competitor prices, updated every 15 minutes, with OTA dynamic pricing tracking, delivered directly to your engine.

The result: your pricing rules fire on what's happening in the market right now — not what happened this morning.

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Continuous feed, not snapshots

15-minute updates mean your engine reacts to competitor moves within the booking window — not hours later.

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Works with any pricing engine

REST API or webhook delivery — plug into Duetto, IDeaS, Amadeus, custom engines, or your own rule system.

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100+ OTA signals in one feed

Competitor data from Booking.com, Expedia, Agoda, IndiGo.com, Skyscanner, Airbnb and 95+ more — unified, normalised, API-ready.

Live Pricing Signals — DEL→BOM Route
✈️
IndiGo — Skyscanner
₹4,900 ↓20%
✈️
SpiceJet — Direct
₹6,200 −
✈️
Air India — Cleartrip
₹7,400 ↑3%
📊
Route Demand Index
68% load
📅
Days to Departure
9 days
⚡ Engine Output — Your Optimal Fare
₹5,900
↓ from ₹6,800 · Matches IndiGo window · Est. +18% load lift
Use Cases

Dynamic Pricing Intelligence Use Cases — Hotels, Airlines & Vacation Rentals

Three primary use cases — each with a different trigger, different response, and different revenue outcome.

01

Airline Revenue Management

Airline RM systems run fare rules against competitor fares. The problem: GDS competitor data is 4–6 hours stale. TravelScrape replaces the GDS input with direct airline dynamic pricing scraping at 15-min cadence.

Real example (IndiGo, India): SpiceJet drops BOM→DEL by 22% at 11pm. IndiGo's RM engine, fed by TravelScrape, detects the drop at 11:14pm. Rule: "If SpiceJet < our fare by 15% AND seats >30% available → match −10%." Fare adjusted by 11:18pm. Load factor protected overnight.
VP Revenue Management RM Analysts Pricing Engineers
02

Hotel Dynamic Rate Engine

Hotel pricing tools like Duetto or IDeaS need a live competitor feed to run effective Hotel dynamic pricing extraction. TravelScrape integrates as the data source — replacing manual comp checks that happen once a day.

Real example (Hotel Group, Mumbai): Marriott JW drops Deluxe room by 18% on Booking.com at 2pm Friday. The hotel's Duetto instance, receiving TravelScrape data, fires a rule: "If Marriott drops >12% on weekend → hold rate but activate early-checkout discount." Direct bookings maintained without a price war.
Revenue Managers RMS Vendors GM · Owner
03

Vacation Rental Auto-Pricing

Property management platforms like PriceLabs or Beyond use competitor nightly rates to auto-set prices for managed units. TravelScrape provides the Airbnb, VRBO and Booking.com comp rates those engines need.

Real example (PropTech, Bali): 3 competitor villas drop Airbnb rates by 25% after a cancellation. PriceLabs, fed by TravelScrape, detects the comp drop within 15 min. Auto-adjust rule fires for the same date window — matching the market before guests see the gap.
PropTech Founders Property Managers Revenue SaaS
Country-Wise Demand

Country-Wise Demand for Dynamic Pricing Intelligence — Hotels, Airlines & SaaS

Real client inquiries, active deployments and use cases — airlines, hotels, rentals, OTAs — 2024 to 2026.

Icon All Markets
Icon Airlines
Icon Hotels
Icon Rentals
Icon Pricing SaaS
All 14 markets · Airlines, Hotels, Rentals, Pricing SaaS — dynamic pricing inquiries 2024–2026
14Active Markets
15 minData Freshness
100+OTA Sources
$800Min Deal / mo
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India Highest Volume
Regional Airline · Delhi
"IndiGo reprices 8–10 times daily on competitive routes. Our GDS data is 6 hours stale by the time we see it. We're losing the overnight booking window to IndiGo every single day. Need real-time fare feed into our RM system."
Hotel Group · Mumbai (120 props)
"We have Duetto running at all 120 properties but the competitor data input is a manual daily spreadsheet. Our revenue analysts spend 3 hours every morning just collecting data. We need TravelScrape to automate the comp feed into Duetto via API."
PropTech · Bangalore
"Our vacation rental pricing platform serves 8,000 properties. We currently use static weekly comp surveys. Want live Airbnb + MakeMyTrip comp data for dynamic nightly pricing — API integration, 15-min cadence."
70+
Clients
+52%
YoY
$3.1K
Avg Deal
15 min
Feed Cadence
96%
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USA Highest Deal Value
Airline Revenue Tech · San Francisco
"We build airline RM software used by 12 US carriers. Our biggest gap: real-time competitor fare data. We need TravelScrape as a white-label data layer — our product, their pricing intelligence."
Vacation Rental SaaS · Austin
"PriceLabs competitor — our pricing engine serves 40,000 hosts. We need Airbnb, VRBO, Booking.com nightly rates per market per night at <30min cadence. Current data provider has 4-hour lag — losing clients because of it."
28
Clients
+29%
YoY
$9.2K
Avg Deal
API
Delivery
87%
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UAE
Hot
"Flydubai and Air Arabia reprice aggressively on GCC routes. Our rule engine needs live fare data — current GDS input makes our rules fire 5 hours late."
$3K–$9K/mo
Airline RM
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UK
Hot
"Ryanair's pricing algorithm runs constantly. We need matching cadence — at minimum 15-min fare updates on our 80 shared routes — fed into our RM API."
$4K–$10K/mo
Full-Service Airline
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Singapore
Growing
"AirAsia reprices across SEA every 20–30 min. We need TravelScrape to give us same-speed competitor data across 6 SEA markets for our RM platform."
$3K–$8K/mo
Regional Airline
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Australia
Active
"IDeaS instance running at 45 Australian hotels. Need TravelScrape API to replace the manual comp rate input that's throttling our dynamic pricing accuracy."
$2K–$6K/mo
Hotel Group
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Germany
Growing
"Lufthansa, Ryanair, EasyJet all have machine-speed pricing on German routes. Our RM rules fire on 6-hour-old data — we're consistently one step behind."
$3K–$8K/mo
Airline · OTA
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Indonesia
Growing
"Bali villa pricing at scale — 12,000 managed properties. Need Traveloka + Airbnb + Booking.com comp data for our dynamic pricing algorithm at <30min latency."
$2K–$6K/mo
PropTech
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Japan
Growing
"Rakuten Travel and Jalan comp data needed for our IDeaS deployment across 30 Tokyo and Osaka properties. Local OTA coverage is the gap no other provider fills."
$2K–$5K/mo
Hotel Group
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Brazil
Growing
"LATAM and Gol have algorithmic pricing on 40 Brazilian routes. We need matching data speed — real-time fare feeds — to compete at the same level."
$1.5K–$4K/mo
Regional Airline
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Saudi Arabia
Growing
"Saudi Vision 2030 hotel boom — 15 new properties launching. Want dynamic pricing infrastructure from day one, not 2 years after opening when data is available."
$3K–$10K/mo
Hotel Group · Gov
8Airline Markets
25+Fare Sources
15 minFeed Cadence
$1.5KMin / mo
✈️
Airline Dynamic Pricing Feed
Airline RM systems need competitor fare data faster than GDS can provide. LCCs like IndiGo, SpiceJet, Ryanair and AirAsia reprice every 20–60 minutes — the GDS 4-6 hour lag means airlines are always reacting to yesterday's market. TravelScrape scrapes airline websites and OTAs directly, at 15-min cadence.
GDS Replacement
Regional Airline · India
"$80K/yr GDS competitor data subscription. 6-hour lag. TravelScrape at 15-min cadence costs a fraction — and the data is faster."
$2K–$6K/mo
Route-Level Rules
LCC · Southeast Asia
"Different rule thresholds per route — KUL→SIN needs 10-min data, KUL→BKK can use 30-min. Custom cadence per route set."
$3K–$9K/mo
Booking Class Feed
Full-Service · UAE
"Need competitor fare data by booking class (Y/B/M/H/K) — not just cheapest fare. Class-level data for class-level pricing rules."
$4K–$12K/mo
White-Label API
Airline RM SaaS · USA
"Our RM platform serves 12 carriers. Need white-label competitor fare API — our branding, TravelScrape data layer underneath."
$8K–$20K/mo
Overnight Watch
Full-Service · Germany
"LCC competitors drop fares overnight. Need continuous 24/7 monitoring with webhook alert the moment any competitor crosses rule threshold."
$3K–$8K/mo
New Route Launch
Charter · Australia
"Launching 4 new routes — need 6-month competitor fare history before setting opening fares and building RM rules for each route."
$2K–$5K/project
Direct Site Scrape
Regional · Brazil
"LATAM posts flash fares on their website before GDS. Need direct airline website scraping — not GDS redistribution — for actual speed advantage."
$2K–$5K/mo
Multi-Market Feed
Alliance Carrier · Singapore
"6 SEA markets simultaneously — one unified competitor fare API covering all local carriers and OTA distributions per country."
$5K–$14K/mo
9Hotel Markets
40+OTA Sources
30 minTypical Cadence
$800Min / mo
🏨
Hotel Dynamic Rate Engine Feed
Hotel pricing tools like Duetto, IDeaS, RoomPriceGenie and Atomize run sophisticated pricing algorithms — but the quality of their output depends on the quality of competitor data they receive. Manual daily comp checks throttle even the best engines. TravelScrape provides the live comp feed they need to run at full capability.
Duetto Integration
Hotel Group · Mumbai (80 props)
"Replace manual daily comp spreadsheet with live TravelScrape API feed into Duetto. Same rules, 10x better data freshness."
$3K–$8K/mo
IDeaS Feed
Chain · Australia (45 props)
"IDeaS is running but comp data input is a daily CSV. Need automated live feed — 30-min cadence — to replace the manual process."
$2K–$6K/mo
Custom Rule Engine
Boutique Chain · UK
"Our own pricing system runs on comp triggers we define. Need clean API: comp hotel name, OTA, rate, timestamp — nothing more."
$800–$3K/mo
Weekend Dynamic
City Hotel · Delhi
"Weekend pricing is our most dynamic window. Need 15-min Friday–Sunday comp feed. Weekday hourly is fine. Custom cadence calendar."
$600–$2K/mo
Event Trigger
Resort · Dubai
"When Expo, F1, or fashion week lands, comp rates spike. Need live monitoring that fires our 'event premium' rule automatically."
$2K–$6K/mo
Atomize / Apaleo
Hostel Group · Germany
"Atomize integration for our 12 budget properties. Need hostel-category comp data — not just full-service hotel rates — properly segmented."
$800–$2.5K/mo
Local OTA Priority
Hotel Group · Japan
"Rakuten Travel and Jalan drive 60% of our bookings. Need these platforms prioritised and updated at 30-min cadence. Global OTAs at daily."
$1.5K–$4K/mo
Room Type Granularity
Luxury Hotel · Maldives
"Dynamic pricing rules per room type — Deluxe, Ocean Villa, Water Bungalow. Each type has a separate comp set and separate rule engine."
$2K–$6K/mo
6Rental Markets
15+Platforms
30 minCadence
$700Min Deal / mo
🚗
Vacation & Car Rental Dynamic Pricing
Vacation rental pricing platforms like PriceLabs, Beyond and Wheelhouse use competitor nightly rates as the core input signal. TravelScrape provides Airbnb, VRBO, Booking.com and local OTA data at 30-minute cadence — faster and cheaper than building scraping infrastructure in-house.
PriceLabs Integration
Vacation Rental SaaS · USA
"PriceLabs competitor — need Airbnb + VRBO nightly rates per market at 30-min cadence for 40,000 host pricing algorithm."
$5K–$15K/mo
Airbnb Comp Feed
Property Manager · Bali
"2,000 Bali villas under management. Need Airbnb competitor pricing updated every 30 minutes — current daily snapshot misses flash drops."
$1.5K–$4K/mo
Car Rental Dynamic
Self-Drive · India (8 cities)
"Zoomcar and Revv dynamic pricing runs hourly. We need same cadence competitor data across 8 Indian cities — all vehicle categories."
$1K–$3K/mo
Airport Rate Engine
Car Rental · Australia
"Hertz, Avis, Europcar all have dynamic airport pricing. Need live feed for 14 Australian airports to run our competing algorithm."
$2K–$5K/mo
7SaaS Markets
APIDelivery
99.9%SLA
$2KMin Deal / mo
🤖
Pricing SaaS & RM Platform Integration
Revenue management SaaS companies and pricing engine vendors need a reliable, always-on competitor data API. TravelScrape acts as the white-label data layer — you build the product and own the client relationship; we maintain 100+ OTA scrapers at production reliability.
White-Label API
Hotel RMS · India
"500 hotel clients asking for live comp data in our RMS. Need TravelScrape white-label API — our brand, your data, zero scraping maintenance on our side."
$6K–$18K/mo
Airline RM Platform
Aviation SaaS · USA
"12 airline clients. Need live competitor fare API to replace GDS input in our RM product. Must support booking class granularity."
$8K–$22K/mo
Vacation Rental Engine
PropTech · Austin
"Our pricing algo for 80K hosts needs Airbnb + VRBO comps at 30-min max. Previous provider had 4-hr lag — clients churn over data freshness."
$6K–$16K/mo
Real-Time Webhook
Pricing Engine · Singapore
"Webhook integration — competitor drops fire directly to our event bus. Our pricing rules consume events in real time. Need sub-20-min latency."
$4K–$12K/mo
Ideal Customers

Built for teams whose pricing rules are only as good as their input data

If your pricing engine is running on stale competitor data, the most sophisticated rules in the world can't save you with Travel dynamic price analytics, these are the teams replacing slow data with live intelligence.

See My Use Case →
15 min
Max data age from competitor price change to your engine
100+
OTAs in unified API — hotels, airlines, rentals
48hr
Time to first live data feed after signup
99.9%
API uptime SLA for pricing engine integrations
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Airline Revenue Management

RM teams whose engines run competitor fare rules — but GDS data arrives 4–6 hours late, making every rule fire on yesterday's market.

❌ "IndiGo dropped fares at 11pm. Our engine didn't see it until 5am. We lost the overnight booking window on 3 routes."
✅ TravelScrape API delivers IndiGo fare data at 15-min cadence. Engine fires rule at 11:14pm. Overnight load factor protected.
$2K–$10K/mo · VP Revenue
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Hotel Revenue Tech Teams

Running Duetto, IDeaS or custom engines — but the comp data input is a manual daily spreadsheet that a Revenue Analyst produces every morning.

❌ "Our Duetto instance is only as good as the 8am manual comp input. Marriott dropped rates at 2pm Friday. We saw it Monday."
✅ TravelScrape API replaces the spreadsheet — live 30-min comp feed into Duetto. Rules fire when competitors move, not days later.
$800–$8K/mo · Revenue Manager
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Pricing SaaS & RM Vendors

Building a pricing product that needs a live competitor data layer — but maintaining scrapers for 100 OTAs is a full engineering team you can't justify.

❌ "Our scraper team spent 40% of sprint capacity maintaining OTA scrapers — Booking.com alone changed their structure 3 times last quarter."
✅ TravelScrape maintains 100+ OTA scrapers. We own the reliability. You ship product features instead of scraper fixes.
$4K–$22K/mo · CTO / CPO
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Vacation Rental Platforms

Pricing platforms for vacation rental hosts need Airbnb, VRBO and Booking.com comp rates at <30-minute cadence to run meaningful dynamic pricing.

❌ "Our 4-hour lag comp data means hosts miss Airbnb flash drops and cancellation repricing windows. Clients churn to faster competitors."
✅ 30-min Airbnb + VRBO + Booking.com comp feed — per market, per night type — delivered via API. Churn rate dropped 18% after integration.
$3K–$16K/mo · CPO / CTO
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Car Rental Operators

Dynamic pricing at airport locations requires live competitor rates — Hertz, Avis, Europcar and local operators repricing hourly during peak periods.

❌ "We update rates once a day. Hertz drops SUV prices at 3pm for same-day pickup. We're priced ₹400 above them until morning."
✅ Hourly competitor rate feed for all vehicle categories at all configured airports. Rules fire same day on same-day pricing movements.
$1K–$5K/mo · Revenue Lead
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Revenue Consultants

Running pricing strategy engagements for airlines or hotel groups — need live competitor intelligence to baseline current market position and benchmark improvements.

❌ "Client pricing audits rely on 2-week-old data from manual collection. By the time we present findings, the market has moved twice."
✅ Live competitor data from day one of engagement — accurate baseline, real-time market position, credible recommendations.
$1.5K–$6K/project · Consultant
How It Works

How Dynamic Pricing Intelligence Works — Live Data to Pricing Engine in 4 Steps

From setup to your first live competitor signal — typically 48 hours.

1

Define Your Comp Set

Tell us which competitors, which OTAs, which routes or markets, and your required update cadence.

2

API or Webhook Config

We set up your data delivery — REST API endpoint you poll, or webhook that fires to your system when new data is ready.

3

First Live Data in 48hr

Sample data delivered within 24 hours. Full production feed live within 48 hours of final scope confirmation.

4

Your Engine Reacts Live

Competitor moves at 11pm. Your engine sees the data at 11:15pm. Rule fires at 11:17pm. Rates updated before customers wake up.

Sample API Output

What your engine receives every 15 minutes

Clean, normalised, action-ready. Every field your pricing rules need — no parsing, no transformation required.

Competitor name & property / flight
Source OTA & direct site
Fare / rate + currency normalised
Previous rate + delta (₹ and %)
Timestamp of capture
Market rank vs your rate
Rule trigger flag (if configured)
Live Competitor Feed — DEL→BOM Route15-min cadence
Carrier Source Prev Fare Current Delta Rule
IndiGo 6E-401 Skyscanner ₹6,150 ₹4,900 −20.3% TRIGGER
SpiceJet SG-117 Cleartrip ₹6,200 ₹6,200 — HOLD
Air India AI-665 Direct ₹7,200 ₹7,450 +3.5% HOLD
Vistara UK-985 Expedia ₹8,100 ₹7,900 −2.5% WATCH
GoAir G8-310 IxiGo ₹5,800 ₹5,200 −10.3% WATCH
Results

What teams found after switching to live pricing intelligence

4–6×
How often LCC competitors reprice per day — most teams were seeing only 1 morning snapshot
15 min
Average lag from competitor price change to your engine receiving the signal
+21%
Average load factor improvement in the first 60 days for airline clients replacing GDS with TravelScrape
★★★★★
IndiGo was repricing our shared routes 6–8 times a day. Our GDS-based rules fired once — in the morning. After TravelScrape, our rules fire in real time. Load factor on DEL→BOM improved 23% in the first month. The ROI calculation is embarrassingly simple.
RK
Rajiv K.
VP Revenue Management · Regional Airline, India
★★★★★
Our Duetto instance was running on an analyst's 8am spreadsheet. On weekends, we'd often go from Friday evening to Monday morning without a comp update. TravelScrape replaced the entire manual process — Duetto now receives 30-min comp data automatically and our weekend RevPAR is up 16%.
SK
Sneha K.
Revenue Director · Hotel Group, Mumbai (80 properties)
★★★★★
We built our pricing algorithm on TravelScrape's API. Previous data provider had a 4-hour lag — our hosts kept complaining the pricing felt 'behind the market'. After switching to TravelScrape at 30-min cadence, host satisfaction scores improved and we stopped losing clients to PriceLabs.
AM
Arjun M.
CTO · Vacation Rental Pricing Platform (40,000 hosts)

Pricing Intelligence — Common Questions

Technical and commercial questions from engineering and revenue teams before integration.

15 minutes is our standard minimum. For specific high-demand use cases (airline routes where LCCs reprice every 20 minutes), we can configure 5-minute cadence on selected route/comp sets at a premium. Most pricing engines don't need faster than 15 minutes for effective rule execution.
Both. REST API: you poll our endpoint at your desired frequency and receive JSON with all current competitor rates. Webhook: we push a JSON payload to your endpoint every time we capture a new data point that crosses a configured threshold. Most pricing engines use REST API for scheduled pulls; event-driven systems use webhooks for real-time triggers.
Yes — via API integration. We deliver structured competitor data that your RM system ingests as a competitor rate feed. For Duetto and IDeaS, we've helped clients configure the integration; we can provide documentation and support during setup. We don't have direct certified integrations, but the API format is standard and client teams have integrated within 1–3 days.
Yes — always. We run a free 48-hour sample feed for your specific comp set and deliver the JSON output so your engineering team can evaluate the data structure, freshness and coverage before any commercial discussion.
We guarantee 99.9% API uptime. Individual OTAs occasionally block scrapers — when that happens, we switch to alternate extraction methods within 30 minutes and notify you. We maintain redundant scraping paths for all Tier 1 OTAs (Booking.com, Expedia, Agoda, etc.) so a single block doesn't interrupt your feed.
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Your competitors are already pricing in real time.

Get a free 48-hour sample of the live competitor feed for your routes or markets. No contract. No engineering commitment. Just the data.

Get Free Live Data Sample → 💬 WhatsApp
Proof of Work

Real clients. Real results.

See how travel businesses use TravelScrape data to win on price and grow revenue.

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Client Voices

Trusted by travel businesses
across India and globally

★★★★★

"We plugged TravelScrape's hotel rate data into our pricing engine and RevPAR jumped 28% in Q1. The 15-minute refresh is what made all the difference — no competitor offers that."

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Ravi Kumar
VP Revenue · Fortune Hotels Group
★★★★★

"Building our flight meta-search was impossible until TravelScrape. Clean data from 10 OTAs via API, setup under a week. Our engineering team couldn't believe how fast it was."

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Ananya Sharma
CTO · FlyDeal Travel Tech
★★★★★

"The demand forecasting data helped us identify 3 undervalued hotel markets. We closed a ₹40Cr deal using insights that TravelScrape surfaced weeks before competitors noticed."

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Manish Patel
Senior Analyst · Horizon Capital
Knowledge Hub

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