We extract dynamic search results, pricing matrices, board basis options, and hotel metadata from Jet2Holidays. 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 Pricing objects from jet2holidays.com. All fields typed and schema-versioned.
"package_id": "J2H-849211-PMI", "hotel_name": "Sol Katmandu Park & Resort", "departure_airport": "Manchester", "departure_date": "2026-07-14", "duration_nights": 7, "total_price": 2498.0, "currency": "GBP", "board_basis": "Half Board"
| # | package_id | hotel_name | destination | departure_airport | departure_date | duration_nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Hotel Metadata objects from jet2holidays.com. All fields typed and schema-versioned.
"hotel_id": "HTL-9921", "name": "Sol Katmandu Park & Resort", "destination_country": "Spain", "resort_area": "Majorca", "star_rating": 4.0, "tripadvisor_rating": 4.5, "beach_distance_meters": 250, "airport_transfer_mins": 45
| # | hotel_id | name | destination_country | resort_area | star_rating | tripadvisor_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Flight Schedules objects from jet2holidays.com. All fields typed and schema-versioned.
"flight_number": "LS831", "origin_iata": "MAN", "destination_iata": "PMI", "departure_time_local": "2026-07-14T07:15:00", "arrival_time_local": "2026-07-14T11:00:00", "airline": "Jet2.com", "baggage_allowance_kg": 22, "hand_luggage_included": true
| # | flight_number | origin_iata | destination_iata | departure_time_local | arrival_time_local | airline |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Room Types objects from jet2holidays.com. All fields typed and schema-versioned.
"hotel_id": "HTL-9921", "room_name": "Family Room with Sea View", "max_occupancy": 4, "sea_view": true, "balcony_terrace": true, "air_conditioning": true, "wifi_included": true, "bed_configuration": "1 Double, 2 Singles"
| # | hotel_id | room_name | max_occupancy | bed_configuration | sea_view | balcony_terrace |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Availability & Offers objects from jet2holidays.com. All fields typed and schema-versioned.
"package_id": "J2H-849211-PMI", "search_timestamp": "2026-05-12T09:14:00Z", "available_seats": 4, "discount_applied": 120.0, "original_price": 2618.0, "free_child_place_available": true, "urgency_message": "Only 4 rooms left at this price", "online_discount_pct": 5
| # | package_id | search_timestamp | available_seats | discount_applied | original_price | free_child_place_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Jet2Holidays scraper handles dynamic search parameters, session state, and complex pricing matrices across thousands of departure and destination combinations.
Total price, per-person breakdown, deposit amounts, and online discounts scraped across any date and passenger configuration.
Capture descriptions, star ratings, amenities, transfer times, and distance to the beach for thousands of properties.
Extract outbound and return flight times, flight numbers, and baggage allowances bundled with each package.
Track price deltas across Self Catering, Bed & Breakfast, Half Board, and All Inclusive options for the same room.
Identify packages featuring promotional free child places to map competitor discounting strategies.
Run concurrent searches across all UK departure airports to normalise pricing based on origin.
Scrape month-view pricing grids to identify seasonal peaks, troughs, and sold-out dates.
Run continuous pipelines at hourly cadences with change-detection diffing for dynamic pricing models.
Maintain search session state across complex URL parameters to ensure accurate multi-step package resolution.
Brief in. Clean data out.
Provide departure airports, destinations, date ranges, and passenger configurations. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, search session management, and anti-bot handling.
Schema validation, null-rate checks, price-outlier detection, and sample payloads before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel sites invest heavily in dynamic rendering and session validation. Here is how we stay resilient.
Jet2Holidays relies on server-side session state tied to search parameters. Our crawlers manage cookie jars and session tokens meticulously to ensure multi-step availability checks do not return expired errors.
Availability calendars and dynamic price updates require JavaScript execution. We run full Playwright browser sessions to hydrate pricing widgets and trigger lazy-loaded hotel data.
High-frequency searches from single IPs trigger rate limits. We distribute search queries across UK residential ISP proxies to mimic organic user behaviour and maintain high throughput.
We maintain a hash index of last-seen values for package prices. Subsequent runs only push diffs: reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing board basis options, and zero-price anomalies to ensure data integrity.
Online travel agencies monitor Jet2Holidays pricing across specific routes and dates to adjust their own margins.
Airlines and hoteliers track package bundle pricing to understand how their inventory is being distributed and priced in the market.
Analysts track resort popularity, new route launches, and capacity adjustments to identify travel trends.
Supply chain teams correlate sold-out dates and urgency messages with seasonal demand to optimise procurement.
Tour operators analyse board basis spreads and free child place allocations to structure competing holiday packages.
Aggregators ingest structured package data to populate multi-vendor comparison engines.
"Jet2Holidays holds critical pricing signals for the UK outbound travel market, but extracting multi-parameter search results requires heavy infrastructure."
Most teams underestimate the investment required: reliable travel scraping requires UK residential proxies, full JavaScript rendering, search session state management, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our jet2holidays.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 and search parameter iteration. Playwright handles JavaScript rendering and session cookie management.
We maintain pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions strictly enforced for multi-step searches.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling across thousands of route combinations. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About jet2holidays.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and availability data is generally permissible. DataFlirt targets only public, non-authenticated search results. We do not extract personal data or circumvent authentication walls. Clients should review Jet2's ToS and consult legal counsel for specific use cases.
Our Scrapy-Playwright middleware maintains strict cookie jars and session tokens per search thread. We execute multi-step availability checks within the server-defined timeout windows to prevent expired session errors.
Yes. You define the input parameters (e.g., all UK airports to Majorca for July). Our pipeline iterates through the combinations concurrently, normalising the output into a single unified dataset.
Pipelines can be configured to run daily or hourly. For high-priority routes, we support near real-time streaming with sub-30-minute latency for price and availability signals.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per package configuration, allowing you to track price volatility from the date your pipeline starts.
Our smallest packages start at a defined route list (typically 500-2,000 route/date combinations) with daily delivery. For larger catalogues, we price based on search volume and frequency.
Absolutely. We provide a sample run of up to 50 route combinations as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of major routes or continuous price monitoring across complex passenger configurations: we scope, build, and operate the pipeline.
