Multi-modal Trips: Flight+train Scraping From Skyscanner

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Introduction: The Multi-Modal Travel Revolution
The era of single-mode travel is ending. In 2026, the most compelling itineraries combine flights, high-speed trains, ferries, and buses into seamless journeys. Skyscanner has been at the forefront, increasingly displaying multi-modal options mixing air and rail for optimal combinations of speed, cost, and sustainability. A London-to-Barcelona trip can be optimized as a flight to Paris plus high-speed train, arriving faster and cheaper than direct flights when including airport transfer times.
For OTAs and travel platforms, capturing multi-modal data is essential for next-generation search and booking experiences. Travel Scrape extracts comprehensive flight-plus-train data from Skyscanner and complementary platforms, enabling truly integrated multi-modal trip planning that serves the modern traveler.
Why Multi-Modal Travel Is Growing

Several forces drive growth. European high-speed rail networks have expanded dramatically. Environmental awareness pushes travelers toward lower-carbon options. Flight bans on short routes in France and similar policies force ...
... multi-modal solutions. Combined journeys often offer better door-to-door times than single-mode options when accounting for airport procedures and transfers.
The market for multi-modal travel planning is estimated to grow at 25% annually through 2028. Early adopters among OTAs report 15-20% higher average order values on multi-modal bookings compared to single-mode trips, as travelers appreciate the convenience of integrated planning and are willing to pay for it.
What Travel Scrape Extracts
Travel Scrape captures flight segment pricing, timing, and carrier details. Train segment pricing, class options, and operator data. Combined journey total cost and duration. Carbon emission comparisons between options. Connection timing and transfer logistics. Booking availability across coordinated segments. All data is delivered in structured formats ready for product integration.
Sample Data: Multi-Modal Route Pricing
London – Barcelona:
Flight costs $185, train $220, while flight+train is cheapest at $165.
Travel time: 9h 45m | CO₂ savings: 35% with multi-modal option.
Paris – Milan:
Flight: $145, train (TGV) only $95 (cheapest).
Travel time: 7h | CO₂ savings: 65%, making rail the most efficient option.
New York City – Montreal:
Flight: $280, train: $85, while flight+train: $120 balances cost and time.
Travel time: 8h | CO₂ savings: 50%.
Tokyo – Osaka:
Flight: $165, train (Shinkansen) at $110 offers better value.
Travel time: 2h 30m | CO₂ savings: 70%, one of the most eco-efficient routes.
Berlin – Prague:
Flight: $120, train: $45 (lowest), and flight+train: $65.
Travel time: 5h | CO₂ savings: 55%.
Amsterdam – London:
Flight: $130, train (Eurostar) at $85 is more economical.
Travel time: 3h 45m | CO₂ savings: 60%.
Building Multi-Modal Travel Products
1. Integrated Search Results
The most impactful application of Travel Scrape multi-modal data is powering integrated search displaying all transport combinations for a route. Instead of only flights or trains, travelers see optimized combinations ranked by price, time, comfort, or environmental impact. This comprehensive view increases conversion by presenting options travelers would not discover independently.
2. Carbon-Conscious Trip Planning
Our data includes carbon emission estimates for each segment and combination. Platforms can offer filtering by environmental impact, appealing to eco-conscious travelers. Multi-modal options frequently offer 35-65% carbon savings over flight-only alternatives on European routes.
3. Dynamic Packaging with Rail Partners
OTAs build dynamic packages combining air, rail, and hotel inventory. A London-to-Italian-Riviera package might include a flight to Nice, scenic coastal train, and boutique hotel. Our pricing data ensures competitive packages with healthy margins.
4. Route Optimization Intelligence
Our data reveals which combinations offer best value, time savings, and experience quality. This powers recommendation engines suggesting multi-modal options travelers might not have considered, increasing average order value and satisfaction.
Sample API: Multi-Modal Route Response
{
"route": "London_to_Barcelona",
"options": [
{"mode":"flight_only","price":185,
"duration":"5h","co2_kg":245},
{"mode":"flight_plus_train",
"segments":[
{"type":"flight","route":"LHR-CDG","price":75},
{"type":"train","route":"Paris-BCN","price":90}
],"total":165,"duration":"9h45m",
"co2_kg":158}
],
"best_value": "flight_plus_train",
"extracted_at": "2026-03-03T06:30:00Z"
}

Regional Multi-Modal Hotspots
Europe leads with dense high-speed rail connecting major airports. Eurostar, TGV, ICE, and Frecciarossa networks create hundreds of viable multi-modal routes. Japan Shinkansen offers similar domestic opportunities. In North America, the Northeast Corridor between Boston, New York, and Washington shows strongest demand. Pacific Northwest and California corridors show emerging growth potential as rail investment increases.
Southeast Asia is an emerging multi-modal market with growing rail connections between Bangkok, Kuala Lumpur, and Singapore. Our data tracks these developing networks and identifies the earliest opportunities for multi-modal packaging in the region.
The Sustainability Angle
Sustainability is a major driver of multi-modal adoption. Travelers who choose train segments over short-haul flights reduce their carbon footprint significantly. Travel Scrape provides carbon comparison data that travel platforms can display alongside pricing, enabling travelers to make informed choices. Brands that offer easy carbon-conscious options build loyalty with the growing eco-aware traveler demographic.
Conclusion
Multi-modal travel represents the future of intelligent trip planning. Travel Scrape provides comprehensive cross-transport data enabling integrated search, route optimization, and sustainable travel options that serve growing demand for flexible, multi-modal journeys.
Build the future of travel search. Contact Travel Scrape for multi-modal trip data.
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Source : https://www.travelscrape.com/skyscanner-flight-train-scraping.php

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

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