We extract flight schedules, dynamic pricing, package holiday deals, and seat availability from Jet2. 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 Flight Pricing objects from jet2.com. All fields typed and schema-versioned.
"flight_number": "LS123", "departure_airport": "MAN", "arrival_airport": "ALC", "departure_time": "2026-06-15T07:15:00Z", "base_price": 84.0, "currency": "GBP", "seats_remaining": 4, "tax_amount": 13.5
| # | flight_number | departure_airport | arrival_airport | departure_time | arrival_time | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Package Holidays objects from jet2.com. All fields typed and schema-versioned.
"package_id": "J2H-88492-ALC", "destination": "Alicante, Spain", "hotel_name": "Sol Pelicanos Ocas", "star_rating": 4.0, "board_basis": "Half Board", "duration_nights": 7, "per_person_price": 549.0, "transfers_included": true
| # | package_id | destination | hotel_name | star_rating | board_basis | duration_nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Details objects from jet2.com. All fields typed and schema-versioned.
"hotel_id": "HTL-4491", "name": "Sol Pelicanos Ocas", "location": "Benidorm, Costa Blanca", "tripadvisor_rating": 4.5, "distance_to_beach": "300m", "distance_to_airport": "58km", "amenities": "['Pool', 'Free WiFi', 'Restaurant', 'Bar']"
| # | hotel_id | name | location | description | amenities | tripadvisor_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary Fees objects from jet2.com. All fields typed and schema-versioned.
"flight_number": "LS123", "route": "MAN-ALC", "bag_fee_22kg": 35.0, "cabin_bag_fee_10kg": 15.0, "seat_selection_fee_standard": 8.5, "seat_selection_fee_extra_legroom": 22.0, "meal_fee": 9.5
| # | flight_number | route | bag_fee_22kg | cabin_bag_fee_10kg | seat_selection_fee_standard | seat_selection_fee_extra_legroom |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from jet2.com. All fields typed and schema-versioned.
"origin_code": "MAN", "destination_code": "ALC", "origin_name": "Manchester", "destination_name": "Alicante", "flight_frequency": "Daily", "days_of_week": "['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']", "route_active": true
| # | origin_code | destination_code | origin_name | destination_name | flight_frequency | days_of_week |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Jet2 scraper navigates complex flight search flows, holiday package configurations, and dynamic session states to deliver accurate pricing and availability data.
Extract base fares, taxes, departure times, and flight durations across the entire Jet2 route network.
Capture combined flight and hotel deals, including board basis, transfer inclusions, and per-person pricing logic.
Monitor remaining seat counts and cabin capacity indicators to track booking velocity and yield management.
Extract dynamic pricing for 22kg hold bags, 10kg cabin bags, seat selection, and in-flight meals.
Scrape property details, amenities, TripAdvisor ratings, and room configurations for all Jet2holidays properties.
Track active routes, seasonal start dates, and flight frequencies from all UK bases to European destinations.
Isolate and extract deals specific to the Vibe brand, targeting young adult and party holiday demographics.
Extract pricing in GBP or EUR depending on the point of sale and origin airport.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Bypass airline bot protection using residential IP rotation, TLS fingerprinting, and automated CAPTCHA solvers.
Brief in. Clean data out.
Provide origin airports, destinations, date ranges, or specific holiday properties. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for jet2.com.
Schema validation, null-rate checks, price-outlier detection, and sample payloads before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines invest heavily in scraping detection and dynamic payload generation. Here is how we stay resilient.
Jet2 requires a valid session state to return flight pricing. Our crawlers manage cookie jars and session tokens across multi-step search requests to ensure the server returns valid availability data rather than blocking the request.
Travel sites use advanced bot mitigation. We use UK-based residential ISP proxies with realistic browser fingerprints and automated solvers to bypass challenges without alerting security systems.
Instead of parsing complex HTML, we intercept the underlying XHR requests Jet2 uses to populate flight results. This yields cleaner JSON data, faster extraction, and lower bandwidth overhead.
For large route networks, we maintain a hash index of last-seen values per flight. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops.
Online travel agencies monitor Jet2 direct pricing to ensure their package offerings remain competitive in the market.
Rival low-cost carriers track Jet2 base fares, ancillary fees, and route frequencies to adjust their own yield management strategies.
Analysts track destination popularity, seasonal route extensions, and hotel inventory to gauge UK outbound leisure travel demand.
Revenue managers correlate seat availability indicators with price movements to understand competitor pricing curves.
Airlines extract baggage and seat selection fees across different routes to optimise their own ancillary pricing models.
Consultancies analyse flight frequencies and pricing on specific airport pairs to model route profitability and market share.
"Jet2 controls a massive segment of UK leisure travel. Extracting their packaged holiday and flight data provides the definitive baseline for Mediterranean pricing trends."
Scraping airline data involves defeating aggressive anti-bot systems, managing complex session states, and parsing dynamic search payloads. DataFlirt handles the proxy rotation, JavaScript execution, and schema maintenance. You get structured JSON ready for analysis, without the engineering overhead.
Everything supported by our jet2.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.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About jet2.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and schedule information is generally permissible. DataFlirt targets only public, non-authenticated flight and hotel data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We intercept XHR requests directly where possible to minimise footprint, and use automated solvers for CAPTCHA challenges.
Yes. We support extraction from both the main Jet2 flight search engine and the Jet2holidays package platform, linking flight data with hotel inventory.
Pipeline frequency is configurable. We can run daily network-wide sweeps or high-frequency polling on specific high-value routes to capture intra-day yield management adjustments.
Yes. We extract dynamic pricing for hold luggage, cabin bags, seat selection, and sports equipment directly from the booking flow.
Our smallest packages start at a defined route list or hotel subset with weekly delivery. For full network monitoring, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of specific routes or holiday destinations as part of the scoping process so you can validate the schema before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off route network dump or a continuous price-monitoring feed across thousands of holiday packages — we scope, build, and operate the pipeline. Tell us what you need.
