Skyscanner Dataset
Live and Historical Data Across Skyscanner’s Global Flight-Comparison and Fare-Discovery Platform
Skyscanner’s core product was built around flight comparison first, not accommodation — its “Everywhere” search lets a traveler search from a single origin with no destination specified at all, returning the cheapest places to fly to that month, and its whole-month fare calendar shows price movement across every day rather than a single date search. Both features have no real equivalent on a hotel-first metasearch platform, and both mean Skyscanner’s flight data carries a genuinely different shape: price-by-destination and price-by-day-of-month, not just price-by-fixed-route.
On top of that, every flight result routes through multiple booking partners — airlines directly, OTAs, or a mix — shown side by side for the same flight, similar in structure to a hotel metasearch comparison but applied to flights specifically. That’s exactly what our dedicated Travel Data Scraping pipeline is built to capture for Skyscanner — a Skyscanner Travel Dataset that ties multi-partner flight price comparisons, fare-calendar data, hotel rates, and reviews together, 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
$219Starting Price
Records
3.6M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
Flights-First
Core Coverage
2+ Yrs
Historical Depth
Global
Multi-Country Coverage
Daily
Refresh Cycle
Why Teams Choose Our Skyscanner Dataset Over a DIY Crawl
A scraper built for a fixed-route, fixed-date search misses both of Skyscanner’s most distinctive features — Everywhere search returns fares across dozens of destinations at once, and the whole-month calendar returns fares across an entire month, neither of which fits a simple single-price scrape.
One Schema, Multi-Partner Pricing Intact
Flight fares, per-partner price comparisons, fare-calendar data, and hotel rates all arrive in a single Skyscanner dataset — normalized without collapsing partner-level detail.
Everywhere and Calendar-Search Precision
Our Skyscanner Flight Dataset captures Everywhere-search destination rankings and whole-month fare-calendar data as structured fields, not just single fixed-date results.
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 Comparisons, Plus Real History
See today’s multi-partner price comparisons alongside 2+ years of historical fare-calendar and destination-price trends.
Hotels Covered as a Secondary Layer
Coverage extends to hotel rate comparisons alongside the flight-first core, since Skyscanner’s accommodation product complements its primary flight-search focus.
What’s Actually Inside the Skyscanner Dataset
The Skyscanner dataset answers five practical questions: what flight and hotel options are available, which destinations offer the cheapest fares from a given origin, how fares move across a whole month rather than a single date, which booking partner offers the best price, and what customers say about the experience. Those five questions map to the five sub-datasets described below, keyed together on route, destination, and partner identifiers.
Most clients start with the fare-calendar layer, usually chasing a specific question — which day within a month offers the cheapest fare on a given route, or which destinations rank cheapest from a given origin this month via Everywhere search? Revenue and pricing teams lean on the multi-partner layer to understand how often a given OTA or airline wins the price comparison. 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:
- Whole-month fare-curve analysis: Identify the cheapest day to fly a given route across an entire month.
- Everywhere-search destination research: Track which destinations rank cheapest from a given origin, and how that ranking shifts seasonally.
- Multi-partner price-comparison tracking: Understand which booking partner wins the price comparison most often for a given route.
- Hotel rate-comparison research: Compare Skyscanner’s hotel rate results against direct-booking and other metasearch platforms.
- Sentiment research: Mine the Skyscanner Reviews Dataset for recurring complaints about booking-partner reliability or search accuracy.
Key Metrics
Price
$219.00Format
CSV / JSON / APIRecords
3.6M+ Verified RecordsCoverage
GlobalUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Skyscanner Dataset
Below is a small, illustrative slice of a single extract, showing whole-month fare-calendar data and multi-partner price comparisons for the same route. Over 40 additional fields are available, including Everywhere-search destination rankings and full historical fare curves.
| Flight URL | Departure Airport | Departure Time | Departure Airport Code | Arrival Airport | Arrival Time | Arrival Airport Code | Price | Flight Duration | Airline Name | Airline Image |
|---|---|---|---|---|---|---|---|---|---|---|
| https://www.skyscanner.com/transport_deeplink/4.0/US/en-US/USD/dela/2/15062.13416.2026-09-11,13416.15062.2026-09-12/air/airli/inlineads?itinerary=flight%7C-32385%7C1556%7C15062%7C2026-09-11T09%3A45%7C13416%7C2026-09-11T12%3A10%7C265%7CTA0NA0BQ%7CE%7CEA1%2Cflight%7C-32385%7C1634%7C13416%7C2026-09-12T15%3A26%7C15062%7C2026-09-12T21%3A30%7C244%7CTA0NH3BQ%7CE%7CEA1&carriers=-32385&operators=-32385%2C-32385&passengers=1&channel=website&cabin_class=economy&fps_session_id=ff95bd5e-3072-46e4-9416-c37fb2a8d19c&ticket_price=549.80&is_npt=false&is_multipart=false&client_id=skyscanner_website&request_id=214c42f6-c514-4731-b161-637159e188a8&q_ids=H4sIAAAAAAAA_-My4WJJSc1JFOLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBUYAdmNI_TYAAAA%7C-8524185797985781242%7C2%24H4sIAAAAAAAA_-My4WJJSc1JFOLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBUYAdmNI_TYAAAA%7CAAIBAgEAAgfqCQsIOTU2NzMzOTIIOTU2NzMzNjgH6gkMCDk1NjczMzY4CDk1NjczMzkyAgAAOtYAADRoAAA0aAAAOtY%7C6692514658075891289%7C2&q_sources=JACQUARD&commercial_filters=false&q_datetime_utc=2026-09-08T16%3A00%3A12&pqid=false&fare_type=base_fare&facilitated=false&requested_depth=BOOKING_PAGE&creative_id=CAM-2fd513ff-1baf-4414-9edd-364d4068b00b_*%2F*%2F*%2F*%2F*%2F*%2F*%2F*&creative_click_guid=eb11cc7a-245d-4546-8a55-a7e37436378e | Chicago O'Hare International | 9:45 AM | ORD | Los Angeles International | 12:10 PM | LAX | $550 | 4h 25m | Delta | https://s3-eu-west-1.amazonaws.com/sponsored-portal-uploads-prod/content%2F34836a20f0a9138734802fcb7139c0b9.png?publicName=Delta_Nov20%20Logo.png |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110945--32385-0-13416-2609111210%7C13416-2609121526--32385-0-15062-2609122130?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 9:45 AM | ORD | Los Angeles International | 12:10 PM | LAX | $550 | 4h 25m | Delta | https://www.skyscanner.net/images/airlines/favicon/DL.png |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110823--32573-0-13416-2609111052%7C13416-2609121817--32573-0-15062-2609130030?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 8:23 AM | ORD | Los Angeles International | 10:52 AM | LAX | $530 | 4h 29m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
| https://www.skyscanner.com/transport_deeplink/4.0/US/en-US/USD/cust/2/15062.13416.2026-09-11,13416.15062.2026-09-12/air/trava/inlineads?itinerary=flight%7C-32289%7C2792%7C15062%7C2026-09-11T11%3A15%7C13933%7C2026-09-11T15%3A08%7C173%7C-%7C-%7C-%3Bflight%7C-32289%7C4145%7C13933%7C2026-09-11T15%3A48%7C13416%7C2026-09-11T18%3A10%7C322%7C-%7C-%7C-%2Cflight%7C-32289%7C2264%7C13416%7C2026-09-12T21%3A20%7C13411%7C2026-09-12T22%3A41%7C81%7C-%7C-%7C-%3Bflight%7C-32289%7C2146%7C13411%7C2026-09-12T23%3A50%7C15062%7C2026-09-13T05%3A38%7C228%7C-%7C-%7C-&carriers=-32289&operators=-32289%3B-32289%2C-32289%3B-32289&passengers=1&channel=website&cabin_class=economy&fps_session_id=ff95bd5e-3072-46e4-9416-c37fb2a8d19c&ticket_price=406.80&is_npt=false&is_multipart=false&client_id=skyscanner_website&request_id=214c42f6-c514-4731-b161-637159e188a8&q_ids=H4sIAAAAAAAA_-Ny4GJJLi0uEeLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBcYi1tQ83dDgKubQYBcATcnjdkIAAAA%7C583219525482493189%7C2%24H4sIAAAAAAAA_-Ny4GJJLi0uEeLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBcYi1tQ83dDgKubQYBcATcnjdkIAAAA%7CAAIBAgEAAgfqCQsIOTU2NzMzOTIIOTU2NzMzNjgH6gkMCDk1NjczMzY4CDk1NjczMzkyAgAAOtYAADRoAAA0aAAAOtY%7C421655489238430495%7C2&q_sources=JACQUARD&commercial_filters=false&q_datetime_utc=2026-09-08T16%3A00%3A18&pqid=true&fare_type=base_fare&facilitated=false&requested_depth=BOOKING_PAGE&creative_id=CAM-c7e980f7-121b-447b-bc6e-1feac7c70187_*%2F*%2F*%2F*%2F*%2F*%2F*%2F*&creative_click_guid=b036a1d7-5e2f-4a34-bee5-d67bb4e5f1f6 | Chicago O'Hare International | 11:15 AM | ORD | Los Angeles International | 6:10 PM | LAX | $407 | 8h 55m | Frontier Airlines | |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110823--32573-0-13416-2609111052%7C13416-2609121712--32573-0-15062-2609122330?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 8:23 AM | ORD | Los Angeles International | 10:52 AM | LAX | $530 | 4h 29m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110600--32573-0-13416-2609110827%7C13416-2609121817--32573-0-15062-2609130030?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 6:00 AM | ORD | Los Angeles International | 8:27 AM | LAX | $530 | 4h 27m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110655--32573-0-13416-2609110925%7C13416-2609121817--32573-0-15062-2609130030?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 6:55 AM | ORD | Los Angeles International | 9:25 AM | LAX | $530 | 4h 30m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
| https://www.skyscanner.com/transport_deeplink/4.0/US/en-US/USD/edus/2/15062.13416.2026-09-11,13416.15062.2026-09-12/air/trava/inlineads?itinerary=flight%7C-32289%7C2792%7C15062%7C2026-09-11T11%3A15%7C13933%7C2026-09-11T15%3A08%7C173%7C-%7C-%7C-%3Bflight%7C-32289%7C4145%7C13933%7C2026-09-11T15%3A48%7C13416%7C2026-09-11T18%3A10%7C322%7C-%7C-%7C-%2Cflight%7C-32289%7C2264%7C13416%7C2026-09-12T21%3A20%7C13411%7C2026-09-12T22%3A41%7C81%7C-%7C-%7C-%3Bflight%7C-32289%7C2146%7C13411%7C2026-09-12T23%3A50%7C15062%7C2026-09-13T05%3A38%7C228%7C-%7C-%7C-&carriers=-32289&operators=-32289%3B-32289%2C-32289%3B-32289&passengers=1&channel=website&cabin_class=economy&fps_session_id=ff95bd5e-3072-46e4-9416-c37fb2a8d19c&ticket_price=397.97&is_npt=false&is_multipart=false&client_id=skyscanner_website&request_id=214c42f6-c514-4731-b161-637159e188a8&q_ids=H4sIAAAAAAAA_-My4WJJTSktFuLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBUYAdKdFYzYAAAA%7C3263404408834043174%7C2%24H4sIAAAAAAAA_-My4WJJTSktFuLluFaqxGFpamZubGxpJMXL8SIDxjWzUGjo7L3KptGwZtJVNiMmBUYAdKdFYzYAAAA%7CAAIBAgEAAgfqCQsIOTU2NzMzOTIIOTU2NzMzNjgH6gkMCDk1NjczMzY4CDk1NjczMzkyAgAAOtYAADRoAAA0aAAAOtY%7C-7119190212142634313%7C2&q_sources=JACQUARD&commercial_filters=false&q_datetime_utc=2026-09-08T16%3A00%3A14&pqid=true&fare_type=base_fare&facilitated=false&requested_depth=BOOKING_PAGE&creative_id=CAM-b822dc54-a54c-4f35-8fa2-a1af6555ecbd_*%2F*%2F*%2F*%2F*%2F*%2F*%2F*&creative_click_guid=dab485a1-0c28-4f3f-833f-9b2a473549ea | Chicago O'Hare International | 11:15 AM | ORD | Los Angeles International | 6:10 PM | LAX | $398 | 8h 55m | Frontier Airlines | |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110600--32573-0-13416-2609110827%7C13416-2609121712--32573-0-15062-2609122330?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 6:00 AM | ORD | Los Angeles International | 8:27 AM | LAX | $530 | 4h 27m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
| https://www.skyscanner.com/transport/flights/ord/lax/260911/260912/config/15062-2609110955--32573-0-13416-2609111225%7C13416-2609121712--32573-0-15062-2609122330?adultsv2=1&cabinclass=economy&childrenv2=&rtn=1&preferdirects=false&outboundaltsenabled=false&inboundaltsenabled=false | Chicago O'Hare International | 9:55 AM | ORD | Los Angeles International | 12:25 PM | LAX | $530 | 4h 30m | American Airlines | https://www.skyscanner.net/images/airlines/favicon/AA.png |
The Five Layers of the Skyscanner Dataset
Rather than one flat export, the Skyscanner dataset splits into five connected layers, licensed individually or together as a complete Skyscanner Travel Dataset, joined on common route, destination, and booking-partner keys.
Skyscanner Flight Dataset
The structured layer behind every flight search result, built around the two features that define Skyscanner’s product — Everywhere search and whole-month fare calendars.
- Origin-destination pair, airline, and flight timing where a specific date is searched
- Everywhere-search destination rankings from a given origin, by month
- Whole-month fare-calendar data showing price by departure date across an entire month
- Cabin class and fare-type flags where visible
Skyscanner Hotel Dataset
The secondary accommodation layer, structured around comparative hotel rates shown alongside Skyscanner’s core flight-search product.
- Property name, star rating, location, and amenity list
- Room-type inventory and per-partner rate availability
- Date-level availability data by property
- Photo and description content per property
Skyscanner Pricing Dataset
Because Skyscanner surfaces multiple booking partners for the same flight or hotel, pricing here is inherently comparative rather than a single number.
- Per-partner price for the same route, date, and cabin
- Price-change history by partner, tracked over time
- Fare-calendar price distribution across a full month for a given route
- Everywhere-search destination-price rankings by origin and month
Skyscanner Booking Dataset
Because bookings route through partner airlines and OTAs rather than Skyscanner directly, booking terms are captured at the partner-referral level.
- Referral-link destination (which partner a booking click routes to)
- Fare-type and cancellation terms as displayed per partner
- Direct-airline versus third-party-OTA fulfillment flag
- Baggage-allowance data where shown per partner
Skyscanner Reviews Dataset
Star ratings tell you something went wrong; written reviews tell you what, often revealing whether an issue was with the booking partner or the flight itself.
- Individual reviews with rating, review text, and submission date, across flights and hotels
- Verified-booking flag and anonymized reviewer identifier where available
- Aspect-level sentiment: booking-partner reliability, search accuracy, and value for money
- Rating distribution and review-velocity trends by route and partner
Where the Skyscanner Dataset Runs Deepest
Skyscanner’s flight-comparison model spans a genuinely global set of origin and destination markets, with Everywhere-search behavior varying by region.
Europe
Deepest historical depth for short-haul route comparisons and Everywhere-search results.
North America
Strong coverage across major domestic and transcontinental routes.
Asia-Pacific
Growing multi-partner comparison depth across major regional carriers.
Everywhere-Search Destinations
Flexible-destination ranking data tracked across all major origin markets.
Add-Ons
Everywhere-search seasonal-ranking archives, whole-month fare-calendar historical depth by route, and partner-win-rate analysis.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Whole-Month Fare-Curve Research
Identify the cheapest day to fly a given route across a full month, rather than relying on a single fixed-date check.
Multi-Partner Price Monitoring
Track which booking partner wins the price comparison most often for a given route, and how that changes over time.
Destination Demand Research
Use Everywhere-search ranking data to identify which destinations are trending cheapest from a given origin.
OTA Referral-Share Analysis
Understand which booking partners appear most frequently as the featured price across routes and markets.
AI and LLM Training Data
Use the clean, labeled Skyscanner Flight Dataset as training data for fare-prediction and destination-recommendation models.
Sentiment and Quality Research
Mine review-level data to understand what drives satisfaction differences across booking partners and routes.
Who Actually Uses the Skyscanner Dataset
The Skyscanner Dataset provides flight listings, fares, availability, airlines, routes, and travel insights for market research, competitive analysis, and pricing intelligence.
Airlines
Understand how often their direct fares win the price comparison against competing OTA partners.
OTA and Booking Platforms
Benchmark their own referral-share performance against competing partners on Skyscanner search results.
AI & ML Companies
Source clean, structured flight-comparison and fare-calendar data for pricing and recommendation models.
Market Research Firms
Build multi-country category reports on the flight-metasearch sector using multi-year historical depth.
Travel Consulting Firms
Validate fare-strategy and destination-marketing recommendations with verified, current data.
Investment & Analyst Teams
Track fare trends and partner-win-rate shifts as alternative-data signals on the travel-metasearch sector.
What This Dataset Actually Saves You
Manually tracking whole-month fare calendars and multi-partner price comparisons across dozens of routes isn’t realistic without automation — and a single fixed-date fare check misses the point of a calendar-based search entirely.
Hours Back, Not Days
A structured feed replaces manual fare-comparison 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-calendar and ranking data lets you separate genuine seasonal demand from short-term price fluctuations.
Seeing the Full Calendar, Not One Date
A single-date fare check misses most of what a whole-month calendar is designed to reveal. Tracking the full month makes the pattern visible.
Built Around Your Pipeline, Not Ours
Pick the routes, destinations, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Skyscanner 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 Skyscanner’s publicly visible search-result and comparison pages — 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, date, or partner are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep multi-partner pricing and fare-calendar 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 Skyscanner 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 Skyscanner Dataset pricing plans tailored to your data volume, update frequency, and business requirements.
One-Time Dataset Purchase
From $219
A one-time Skyscanner 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 and destination before delivery
Enterprise License
Contact Sales
Full-catalog, 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 Skyscanner Dataset solutions with accurate flight-comparison and fare-calendar data for market research and competitive intelligence.
Track Record at Scale
Millions of verified records collected and refreshed continuously across major global travel-metasearch platforms — Skyscanner 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 destination we haven’t listed here? We build custom Skyscanner dataset configurations on request.
Questions People Actually Ask Us About the Skyscanner Dataset
These come from real conversations with airlines, OTA platforms, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Skyscanner’s flight-comparison and hotel data — multi-partner flight price comparisons, whole-month fare calendars, Everywhere-search destination rankings, hotel rates, and customer reviews — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed.
Everywhere search lets a traveler search flights from an origin with no fixed destination, returning the cheapest places to fly. The Skyscanner Flight Dataset captures these destination rankings as structured fields, not just fixed-route results.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Multi-partner pricing and fare calendars can refresh intraday on enterprise plans, since the cheapest partner and best fare day can shift frequently. Listings update daily, and reviews update on a rolling basis.
Yes — tell us the routes, destinations, 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 whole-month fare-calendar and destination-ranking data, useful for identifying seasonal patterns.
Yes. The Skyscanner Pricing Dataset tracks per-partner pricing distinctly, so it’s possible to see which OTA or airline offers the best fare on a given route.
Yes, hotel rate comparisons are covered as a secondary layer alongside Skyscanner’s core flight-first product.
Yes. Only publicly visible pages on Skyscanner’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 capture only a single fixed-date price when a whole-month calendar or Everywhere-search result is available. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
Mostly airlines, OTA and booking platforms, market research firms, AI/ML teams, travel consultants, and investment analysts tracking the flight-metasearch sector.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Skyscanner’s Flight-Comparison Data
3.6M+ verified records, daily multi-partner pricing and fare-calendar refreshes, and 2+ years of historical depth across Skyscanner’s global platform — starting at $219.