Expedia Dataset
Live and Historical Data Across Expedia’s Global Flight, Hotel, and Bundle Travel Network
Expedia leans harder into bundling than most OTAs — flight, hotel, and rental car packaged together frequently price lower than booking any two components separately, which means a fair comparison against a competing platform has to account for three moving prices at once, not one. On top of that, Expedia Group runs One Key, a rewards program spanning Expedia, Hotels.com, and Vrbo, so the same room can carry a different effective price depending on which brand in the family a shopper books through and how many reward points they’re applying.
Tracking that properly means treating three-way bundle economics and cross-brand rate variation as core, trackable dimensions rather than noise. That’s exactly what our dedicated Travel Data Scraping pipeline is built to handle for Expedia specifically — an Expedia Travel Dataset that ties flight fares, hotel and vacation-rental rates, bundle pricing, and reviews together across global markets, refreshed on a schedule you control. It sits inside our broader Travel Dataset catalog, built on the same infrastructure as our Travel Data Scraping services, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$229Starting Price
Records
4.6M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
Bookings
Core Coverage
2+ Yrs
Historical Depth
Global
Multi-Country Coverage
Daily
Refresh Cycle
Why Teams Choose Our Expedia Dataset Over a DIY Crawl
A scraper that checks flight, hotel, and car prices independently misses exactly what Expedia is built around — the discount that shows up only when all three are booked together, which doesn’t reduce to a simple sum of parts.
One Schema, Every Component
Flight fares, hotel and vacation-rental rates, car-rental pricing, and bundle discounts all arrive in a single Expedia dataset, normalized across global currencies.
Booking-Window Precision
Our Expedia Pricing Dataset tracks fare and rate movement across the full booking window, not a single point-in-time snapshot, so pricing curves are actually visible.
Scoped to What You Actually Need
Pull specific routes, destinations, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Fares, Plus Real History
See today’s fares and rates alongside 2+ years of historical pricing patterns across routes, properties, and bundle configurations.
Genuinely Global Coverage
Coverage spans multiple countries and currencies rather than a single home market, with pricing normalized for cross-market comparison.
What’s Actually Inside the Expedia Dataset
The Expedia dataset answers five practical questions: what fares and rates are available, how they move across the booking window, what the booking terms actually allow, how properties and routes are rated, and what customers say about the experience. Those five questions map to the five sub-datasets described below, keyed together on route, property, and bundle identifiers.
Most clients start with the bundle-pricing layer, usually chasing something specific — how much does Expedia’s flight-plus-hotel-plus-car package actually save versus booking each piece separately, and does that discount hold steady or shrink closer to departure? Revenue teams lean on the cross-brand layer to understand how the same property prices differently across Expedia, Hotels.com, and Vrbo. Data teams mostly just want clean, timestamped records instead of raw search-result data, which is really the core value of buying a dataset instead of building a scraper from scratch. This dataset shares its collection standards with our broader Travel Dataset catalog.
What people actually build with this dataset:
- Bundle-savings analysis: Measure how much flight-plus-hotel-plus-car packages discount versus separate bookings, and how that discount changes over time.
- Cross-brand rate comparison: Compare how the same hotel property prices across Expedia, Hotels.com, and Vrbo.
- Fare-curve analysis: Track how airfare on a given route moves as departure date approaches, to identify optimal booking windows.
- Vacation-rental market research: Analyze pricing and availability trends across alternative accommodations alongside traditional hotels.
- Sentiment research: Mine the Expedia Reviews Dataset for recurring complaints about booking accuracy, property quality, or customer support.
Key Metrics
Price
$229.00Format
CSV / JSON / APIRecords
4.6M+ Verified RecordsCoverage
GlobalUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Expedia Dataset
Below is a small, illustrative slice of flight, hotel, and bundle data from a single extract. Each row captures a fare or rate observation at a specific point in the booking window. Over 45 additional fields are available, including cross-brand rate comparisons, cancellation terms, and full historical pricing curves.
| Airline Name | Airline Image | Price | Departure Time | Arrival Time | Departure Location | Arrival Location | Flight Duration | Direct / Stop | Stopover Time | Stopover City |
|---|---|---|---|---|---|---|---|---|---|---|
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,486 | 08:05 | 09:55 | Mumbai (BOM) | Bengaluru (BLR) | 1h 50m | Direct | N/A | N/A |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,693 | 04:05 | 08:05 | Mumbai (BOM) | Bengaluru (BLR) | 4h | 1 stop | 1h | Chennai |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,352 | 05:00 | 09:20 | Mumbai (BOM) | Bengaluru (BLR) | 4h 20m | 1 stop | 1h 50m | Goa |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,171 | 11:00 | 12:55 | Mumbai (BOM) | Bengaluru (BLR) | 1h 55m | Direct | N/A | N/A |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,483 | 16:45 | 21:20 | Mumbai (BOM) | Bengaluru (BLR) | 4h 35m | 1 stop | 1h 40m | Hyderabad |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹10,358 | 04:30 | 06:25 | Mumbai (BOM) | Bengaluru (BLR) | 1h 55m | Direct | N/A | N/A |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,614 | 16:55 | 21:20 | Mumbai (BOM) | Bengaluru (BLR) | 4h 25m | 1 stop | 1h 5m | Nagpur |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,171 | 12:30 | 14:25 | Mumbai (BOM) | Bengaluru (BLR) | 1h 55m | Direct | N/A | N/A |
| IndiGo | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/6E_sq.svg | ₹12,486 | 09:50 | 11:55 | Mumbai (BOM) | Bengaluru (BLR) | 2h 5m | Direct | N/A | N/A |
| Air India | https://images.trvl-media.com/media/content/expus/graphics/static_content/fusion/v0.1b/images/airlines/vector/s/AI_sq.svg | ₹12,833 | 10:00 | 12:05 | Mumbai (BOM) | Bengaluru (BLR) | 2h 5m | Direct | N/A | N/A |
The Five Layers of the Expedia Dataset
Rather than one flat export, the Expedia dataset splits into five connected layers, licensed individually or together as a complete Expedia Travel Dataset, joined on common route, property, and bundle keys.
Expedia Flight Dataset
The structured layer behind every flight search result — route, carrier, fare class, and the seat-availability signals that drive fare movement.
- Origin-destination pair, airline, flight number, and departure/arrival times
- Fare class and fare-type flags (refundable, non-refundable, basic economy)
- Layover and connection details for non-direct routes
- Baggage allowance and add-on pricing where available
Expedia Hotel Dataset
The structured layer behind every accommodation listing, spanning traditional hotels and Vrbo-style vacation rentals alike.
- Property name, star rating (or rental type), location, and amenity list
- Room-type or unit-type inventory, occupancy limits, and cancellation-policy flags
- Photo and description content per property
- Date-level availability calendar, since rooms and rentals sell out per night rather than as a single stock count
Expedia Pricing Dataset
Because Expedia’s business model leans heavily on bundling, pricing here has to be tracked at both the component level and the combined-bundle level.
- Fare and rate history tracked by days-to-departure or days-to-check-in
- Bundle pricing across flight-plus-hotel and flight-plus-hotel-plus-car configurations, compared against standalone component pricing
- One Key member pricing and reward-point-linked discounts where applicable
- Tax, resort-fee, and total-price breakdowns
Expedia Booking Dataset
Booking terms materially affect what a listed price actually represents, and this layer captures the conditions attached to each fare, rate, or bundle.
- Cancellation policy and refund-window terms by fare class or rate plan
- Bundle-component substitution rules and minimum-stay requirements where applicable
- Add-on and ancillary pricing (seat selection, car-rental insurance, room upgrades)
- Cross-brand availability flags where the same inventory appears on Expedia, Hotels.com, or Vrbo
Expedia Reviews Dataset
Star ratings tell you something went wrong; written reviews tell you what, whether that’s a flight-booking issue, a hotel-stay complaint, or a vacation-rental dispute.
- Individual reviews with rating, review text, and submission date, across flights, hotels, and rentals
- Verified-booking flag and anonymized reviewer identifier
- Aspect-level sentiment: booking accuracy, property or flight quality, customer support, and value for money
- Rating distribution and review-velocity trends by property or route
Where the Expedia Dataset Runs Deepest
Expedia’s catalog spans a genuinely global footprint, so our coverage follows that same spread across flights, hotels, vacation rentals, and bundles.
North American Routes
Deepest historical fare depth across the highest-volume US and Canadian routes.
Global Hotels
Date-level rate tracking across major metro, leisure, and resort destinations worldwide.
Vacation Rentals
Alternative-accommodation pricing and availability tracked alongside traditional hotel inventory.
Bundle Packages
Flight-plus-hotel-plus-car combinations tracked as combined-pricing units.
Add-Ons
One Key member-pricing differentials, cross-brand rate-parity tracking, and peak-season fare and rate archives.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Fare and Rate Benchmarking
Track how competitor OTAs price the same route or property against Expedia, day by day across the booking window.
Bundle-Economics Research
Measure how much three-way bundle pricing actually saves versus separate bookings, and whether that gap holds as departure approaches.
Cross-Brand Rate-Parity Monitoring
Compare how the same hotel property prices across Expedia, Hotels.com, and Vrbo to identify parity violations.
Vacation-Rental Market Research
Analyze how alternative-accommodation pricing and demand trends compare against traditional hotel inventory.
AI and LLM Training Data
Use the clean, labeled Expedia Hotel Dataset and Flight Dataset as training data for travel-recommendation and pricing models.
Sentiment and Quality Research
Mine review-level data to understand what drives satisfaction differences across airlines, properties, and rental types.
Who Actually Uses the Expedia Dataset
Airlines, hotel chains, competing travel platforms, market research firms, and investment teams tracking the global travel sector.
Airlines & Hotel Chains
Benchmark OTA-channel pricing against direct-booking rates and competing OTAs globally.
Competing Travel Platforms
Track fare curves and bundle-pricing strategy against one of the world’s largest travel platforms.
AI & ML Companies
Source clean, structured global travel-pricing data for fare-prediction and recommendation models.
Market Research Firms
Build multi-country category reports on the global online travel sector using multi-year historical depth.
Travel Consulting Firms
Validate pricing and bundle-strategy recommendations with verified, current data.
Investment & Analyst Teams
Track fare trends and bundle-economics behavior as alternative-data signals on the travel sector.
What This Dataset Actually Saves You
Manually tracking fares, hotel rates, and bundle discounts across multiple countries and currencies isn’t realistic without automation — and a single snapshot won’t tell you anything about how a fare or bundle discount is actually moving.
Hours Back, Not Days
A structured feed replaces manual fare-checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of fare and rate data lets you separate genuine seasonal demand from routine booking-window price movement.
Understanding Bundle Economics
Checking flight, hotel, and car prices separately tells you almost nothing about what a bundle actually saves. Tracking all three together does.
Built Around Your Pipeline, Not Ours
Pick the routes, properties, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Expedia Data Collection Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from Expedia’s publicly visible search-result pages across covered markets — no credential bypass, no restricted API access.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it ships.
Deduplication
Repeat pulls of the same route, property, or date are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep fare, rate, and bundle-discount fields current without you having to request a re-pull.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available platform data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Travel Data Scraping infrastructure behind our other travel-platform datasets — it’s a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Access the Expedia Dataset in flexible formats with delivery options designed for seamless integration into your existing systems, analytics tools, and data workflows.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
Choose flexible Expedia Dataset pricing plans tailored to your data volume, update frequency, and business requirements.
One-Time Dataset Purchase
From $229
A one-time Expedia dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by route, property, or date range before delivery
Enterprise License
Contact Sales
Full-network, global coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
WebDataInsights delivers reliable Expedia Dataset solutions with accurate global travel data and actionable insights for market research and competitive intelligence.
Track Record at Scale
Millions of verified records collected and refreshed continuously across major global travel-booking platforms — Expedia is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible platform data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, route, or property set we haven’t listed here? We build custom Expedia dataset configurations on request.
Questions People Actually Ask Us About the Expedia Dataset
These come from real conversations with airlines, hotel chains, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Expedia’s global travel-booking data — flight fares, hotel and vacation-rental rates, bundle pricing, booking terms, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed.
Yes. Because Expedia’s flight-plus-hotel-plus-car packages don’t reduce to a simple sum of separate prices, the Expedia Pricing Dataset tracks bundle pricing distinctly alongside standalone flight, hotel, and car pricing.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Fares and rates can refresh intraday on enterprise plans, since prices move continuously across the booking window. Listings update daily, and reviews update on a rolling basis.
Yes — tell us the routes, destinations, properties, fields, and refresh cadence you need, and we scope the extract accordingly rather than delivering a generic full export.
Yes, more than two years of historical fare and rate data, useful for understanding seasonal demand patterns and booking-window pricing curves.
Yes, the Expedia Hotel Dataset covers both traditional hotel inventory and Vrbo-style vacation rentals, since both appear as accommodation options on the platform.
Yes. The Booking Dataset flags where the same inventory appears across Expedia, Hotels.com, and Vrbo, making it possible to compare pricing across the family of brands.
Yes. Only publicly visible pages on Expedia’s platform are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data and is likely to miss booking-window fare movement or bundle-discount patterns entirely if it only checks once. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Expedia’s major global markets across North America, Europe, and Asia-Pacific, with additional countries available on request.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Expedia’s Global Travel Data
4.6M+ verified records, daily fare and rate refreshes, and 2+ years of historical depth across Expedia’s global travel network — starting at $229.