Diwali 2025 Travel Trends & Price Insights | Actowiz Solutions

By Author: Actowiz Solutions
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Introduction: Data Becomes the New Compass for Diwali Travel
Every Diwali season, Indian travelers light up airports, train stations, and booking portals across the world. But in 2025, festive travel is no longer about guesswork — it’s about data-backed decision-making.
Using Travel Price Scraping in India, Actowiz Solutions analyzed millions of real-time flight and hotel data points to uncover where Indians are traveling this Diwali and how pricing patterns are shaping consumer behavior.
With the help of Actowiz travel data insights, airlines, OTAs, and tour operators can now predict demand surges, detect hidden fare drops, and optimize pricing strategies before the festive rush peaks.
Let’s explore how web scraping for travel sites is rewriting the rules of festive travel analytics — and why data is now the most powerful ticket to understanding traveler intent.
Where Indians Are Flying This Diwali 2025
Based on Actowiz’s festive travel demand analysis, Indian travelers are booking flights earlier than ever before. Demand has risen sharply for short-haul international destinations ...
... and select luxury domestic hotspots.
Top Diwali Destinations from India – 2025 (Based on Scraped OTA Data)

International Destinations
Dubai – +41% YOY Growth | Avg Fare: ₹29,500 | Booking Lead Time: 42 days
Singapore – +38% YOY Growth | Avg Fare: ₹32,200 | Booking Lead Time: 39 days
Bangkok – +35% YOY Growth | Avg Fare: ₹28,700 | Booking Lead Time: 36 days
London – +31% YOY Growth | Avg Fare: ₹62,800 | Booking Lead Time: 51 days

Domestic Destinations
Goa – +26% YOY Growth | Avg Fare: ₹8,900 | Booking Lead Time: 29 days
Jaipur – +22% YOY Growth | Avg Fare: ₹7,400 | Booking Lead Time: 27 days

Actowiz travel data insights reveal that this surge is driven by a combination of school holidays, long weekends, and early festive promotions launched by OTAs in September.
Data Tip from Actowiz: “Travelers booking 35–40 days before Diwali saved an average of ₹2,800 per ticket compared to last-minute buyers.”
Scraping Festive Travel Demand Analysis
Actowiz’s Travel Price Intelligence platform used Flight and Hotel Data Scraping from 40+ booking sites and airline portals between August 20 – October 5, 2025.
Data Points Collected:
Flight fares (economy, business, premium)
Hotel rates (3★, 4★, 5★)
Package bundle pricing
Occupancy and availability by region
Search query trends and booking timestamps

MakeMyTrip
Records Scraped: 2.4M
Frequency: 3× daily
Use Case: Domestic route price tracking

Cleartrip
Records Scraped: 1.9M
Frequency: Hourly
Use Case: International flight monitoring

Booking.com
Records Scraped: 3.2M
Frequency: Hourly
Use Case: Hotel rate volatility

Agoda
Records Scraped: 1.1M
Frequency: 2× daily
Use Case: Cross-border rate comparison

Skyscanner
Records Scraped: 2.8M
Frequency: Real-time
Use Case: Fare prediction model training

This web scraping for travel sites allows Actowiz to visualize and predict demand based on live market fluctuations — not static reports.
Hotel Pricing Trends – The Hidden Festive Surge
Diwali is also a peak period for hotels across India and neighboring countries. According to Actowiz’s hotel data scraping analysis, price surges begin roughly 10–12 days before Diwali.
Hotel Pricing Trends (Actowiz Sample Dataset)

Dubai
Avg 4★ Rate: ₹18,200
Rate Surge: +29%
Avg Occupancy: 91%
Booking Window: 40 days

Singapore
Avg 4★ Rate: ₹14,800
Rate Surge: +25%
Avg Occupancy: 87%
Booking Window: 37 days

Goa
Avg 4★ Rate: ₹10,400
Rate Surge: +21%
Avg Occupancy: 89%
Booking Window: 32 days

Jaipur
Avg 4★ Rate: ₹8,600
Rate Surge: +18%
Avg Occupancy: 83%
Booking Window: 29 days

Actowiz travel data insights: Hotel occupancy and price surges show a correlation index of 0.78, meaning rates begin rising once occupancy hits 70%.
This kind of flight and hotel data scraping empowers OTAs and hotels to identify early opportunities for pricing optimization and dynamic promotional campaigns.
Flight Price Scraping for Diwali Travel Planning
Actowiz’s Live Crawler API continuously extracts flight price data across major Indian and international routes. By analyzing over 4.5 million fare variations, the system maps how prices shift as booking windows shrink.
Sample Flight Price Dataset (Actowiz API Feed)

DEL–DXB
45 Days Before: ₹27,400
30 Days Before: ₹29,800
15 Days Before: ₹33,600
5 Days Before: ₹36,200
Surge: +32%

MUM–BKK
45 Days Before: ₹28,000
30 Days Before: ₹30,100
15 Days Before: ₹33,900
5 Days Before: ₹35,800
Surge: +28%

BLR–SIN
45 Days Before: ₹26,700
30 Days Before: ₹28,500
15 Days Before: ₹31,200
5 Days Before: ₹33,000
Surge: +24%

DEL–GOI
45 Days Before: ₹8,200
30 Days Before: ₹9,000
15 Days Before: ₹9,800
5 Days Before: ₹10,700
Surge: +30%

Data Tip from Actowiz: “Peak airfare surge begins 12–15 days before Diwali. The ideal booking window is 28–35 days in advance.”
Price vs. Booking Correlation Analysis
To visualize how booking intent affects pricing, Actowiz plotted real-time scraped data showing a near-linear correlation between fare hikes and search spikes.
Simplified Correlation Sample

Sept 15
Search Volume Index: 42
Avg Fare: ₹25,600
% Fare Increase: —

Sept 25
Search Volume Index: 58
Avg Fare: ₹27,100
% Fare Increase: +6%

Oct 1
Search Volume Index: 76
Avg Fare: ₹29,300
% Fare Increase: +13%

Oct 10
Search Volume Index: 94
Avg Fare: ₹32,400
% Fare Increase: +23%

This correlation shows how predictive analytics and Travel Price Scraping in India can help brands anticipate when prices will peak and travelers will convert.
Regional Insights – Domestic vs. International Travel
Domestic Insights
Tier-2 cities like Ahmedabad, Surat, and Indore show 40% higher travel intent for festive breaks.
Rail-to-air migration continues — first-time flyers up 18% YoY.
Popular short-haul circuits: Goa–Pune–Bangalore, Jaipur–Udaipur–Delhi.
International Insights
3-day and 5-day itineraries dominate search patterns.
Family group bookings (3–5 travelers) represent 61% of traffic.
Dubai, Singapore, and Bangkok lead festive international traffic.
Actowiz’s India travel data insights reveal that Indian travelers prefer “quick luxury escapes” during Diwali 2025 — blending short itineraries with higher spend per booking.
How Actowiz Travel Data Insights Predict Demand
Actowiz Solutions has built its proprietary Travel Price Intelligence System that analyzes:
Scraped flight and hotel prices
Real-time search data
Demand spikes across OTAs
Competitor promotional activity
By blending this data, the platform forecasts booking surges and fare plateaus with up to 91% accuracy.
Demand Forecast Model Output (Sample)

Dubai
Forecast Period: Oct 15–22
Predicted Fare Surge: +14%
Peak Demand Window: Oct 7–12

Singapore
Forecast Period: Oct 12–18
Predicted Fare Surge: +12%
Peak Demand Window: Oct 5–10

London
Forecast Period: Oct 10–17
Predicted Fare Surge: +10%
Peak Demand Window: Sept 30–Oct 6

Goa
Forecast Period: Oct 18–23
Predicted Fare Surge: +11%
Peak Demand Window: Oct 8–13

Insight: “Festive travel demand starts surging roughly 10–12 days earlier than airlines expect. Early scraper alerts help brands prepare targeted campaigns.”
Technology Behind the Actowiz Live Crawler API
The Actowiz Live Crawler API enables real-time travel data scraping across thousands of sources, including OTAs, metasearch engines, and airline websites.
Technical Highlights
Average scrape latency: > https://www.actowizsolutions.com/diwali-travel-trends-price-data-predictions.php

Originally published at https://www.actowizsolutions.com