We extract package holiday prices, flight availability, hotel rates, and car hire deals from Travelsupermarket. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Package Holidays objects from travelsupermarket.com. All fields typed and schema-versioned.
"destination": "Tenerife, Canary Islands", "departure_airport": "London Gatwick (LGW)", "provider": "Loveholidays", "price_per_person": 459.0, "total_price": 918.0, "nights": 7, "board_basis": "All Inclusive", "hotel_name": "Hard Rock Hotel Tenerife"
| # | destination | departure_airport | provider | price_per_person | total_price | nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flights objects from travelsupermarket.com. All fields typed and schema-versioned.
"origin": "LHR", "destination": "DXB", "outbound_time": "2026-09-12T09:05:00Z", "return_time": "2026-09-19T14:30:00Z", "airline": "Emirates", "price": 612.5, "stops": 0, "provider": "Travel Trolley"
| # | origin | destination | outbound_time | return_time | airline | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotels objects from travelsupermarket.com. All fields typed and schema-versioned.
"city": "Paris", "hotel_name": "Novotel Paris Centre Tour Eiffel", "star_rating": 4, "guest_rating": 8.2, "price_per_night": 185.0, "total_price": 555.0, "provider": "Booking.com", "room_type": "Standard Double Room"
| # | city | hotel_name | star_rating | guest_rating | price_per_night | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Car Hire objects from travelsupermarket.com. All fields typed and schema-versioned.
"pickup_location": "Malaga Airport (AGP)", "pickup_date": "2026-07-15T10:00:00Z", "car_type": "Compact", "provider": "Goldcar", "broker": "Rentalcars.com", "price": 142.0, "transmission": "Manual", "doors": 5
| # | pickup_location | dropoff_location | pickup_date | dropoff_date | car_type | provider |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Travel Insurance objects from travelsupermarket.com. All fields typed and schema-versioned.
"policy_type": "Single Trip", "destination_zone": "Europe", "provider": "Post Office", "premium": 24.5, "medical_cover": 5000000, "cancellation_cover": 3000, "baggage_cover": 1500, "excess": 50
| # | policy_type | destination_zone | provider | policy_name | premium | medical_cover |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper navigates complex travel search forms, extracts dynamic aggregator pricing, and normalises package deals across hundreds of providers with JavaScript rendering and session management built in.
Extract full holiday packages including board basis, transfer inclusions, provider names, and total pricing per passenger.
Capture dynamic flight rates across multiple airlines and online travel agents (OTAs) with baggage inclusion flags.
Track per-night and total stay pricing across providers, capturing room types and cancellation policies.
Extract vehicle classes, rental providers, broker names, and transmission types for specific airport pickups.
Capture policy premiums, medical coverage limits, baggage allowances, and Defaqto ratings across providers.
Track price variations across different UK departure airports for the same destination and date range.
Extract pricing matrices for flexible date searches to identify cheapest departure windows.
Identify which OTA or direct provider wins the top placement for specific routes and packages.
Execute complex search queries that require full browser sessions and wait for delayed third-party API responses.
Brief in. Clean data out.
Provide destinations, dates, and departure airports. We design the extraction schema together.
We configure Playwright crawlers and proxy rotation specifically for travelsupermarket.com search flows.
Schema validation, price-outlier detection, and null-rate checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators employ aggressive bot mitigation and complex stateful searches. Here is how we maintain reliable extraction.
Travelsupermarket requires sequential form submissions for dates, passengers, and destinations. We script full Playwright browser sessions to navigate these funnels exactly like a human user, maintaining session state throughout the search.
Aggregators use strict Web Application Firewalls. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and randomised request timing to bypass Cloudflare and PerimeterX protections.
Search results populate asynchronously as third-party providers return pricing. Our pipeline monitors network idle states and DOM mutations to ensure we capture the complete dataset, not just the first few fast responses.
Different OTAs format data inconsistently. We map varied room types (e.g. Double Room vs Standard Double) and normalise provider names into a clean, queryable schema before delivery.
For continuous monitoring, we maintain a hash index of last-seen prices. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Online Travel Agents track their placement and price competitiveness on aggregators against rival providers.
Airlines and hoteliers adjust their direct pricing based on aggregator visibility and competitor package rates.
Analysts track trending destinations, seasonal price shifts, and capacity constraints across the UK outbound market.
Hotels benchmark their direct room rates against the implied room rates embedded in package holiday deals.
Travel agencies identify pricing discrepancies between direct airline feeds and OTA aggregator listings.
Machine learning teams use historical pricing datasets to train predictive models for travel demand forecasting.
"Travelsupermarket aggregates the entire UK outbound travel market, but extracting structured pricing requires executing millions of stateful browser searches."
Most teams fail at travel scraping because aggregator sites require complex session handling, delayed AJAX responses from third-party providers, and aggressive bot mitigation. DataFlirt absorbs that complexity so your engineers can focus on yield management, not proxy rotation.
Everything supported by our travelsupermarket.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Travel searches require maintaining state across multiple form inputs. We orchestrate headless browsers to simulate real user journeys and wait for third-party network requests to resolve.
Travel pricing is highly regional. We route requests through UK residential IPs to ensure the prices extracted match what a local consumer sees, bypassing data centre IP blocks.
Pipelines run on AWS Lambda and ECS to handle high concurrency during peak search windows. Airflow manages scheduling and dependency trees for complex multi-route sweeps.
Data delivered to where your team already works — no new tooling required.
About travelsupermarket.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing information is generally permissible under UK law. DataFlirt extracts only public, non-authenticated travel data. We do not extract personal data or circumvent authentication walls. Clients should review the target site terms of service and consult legal counsel for specific use cases.
Travel aggregators rely on asynchronous API calls to hundreds of providers. Our Playwright scripts monitor network activity and wait for specific DOM mutations or network idle states to ensure we capture the fully populated results page.
Yes. We configure pipelines to search for specific route combinations, durations, and board bases based on your exact input parameters.
Travel pricing is highly volatile. We can configure pipelines to run daily sweeps of core routes, or high-frequency checks (hourly) on specific high-value departure dates.
Yes. Where available in the DOM, we extract the outbound redirect URLs that link to the specific OTA or airline booking page.
Our smallest packages start at a defined set of routes or destinations (e.g. top 500 summer holiday queries) with daily delivery. For full market sweeps, we price based on compute volume and proxy bandwidth.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily price checks on key routes or a full market sweep of summer holiday packages, we scope, build, and operate the pipeline.
