SYSTEM all green source easyjet.com queue 14,892 routes p99 latency 312ms dataflirt.com · scraper/easyjet-com
RUN · 64 active pipelines · easyjet.com live

Easyjet flight data,
at warehouse scale.

We extract flight schedules, dynamic pricing, Flexi fares, baggage tiers, and route networks from easyjet.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Flights extracted
314K /day
Price updates
1.2M /24h
Route monitors
8,491 /run
Active pipelines
64
Uptime
99.94%
Data Dictionary

Every field we extract from easyjet.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Flight Schedules objects from easyjet.com. All fields typed and schema-versioned.

flight_numberdeparture_airportarrival_airportdeparture_timearrival_timeduration_minutesaircraft_typestatusoperating_carrierroute_id
flight_schedules
● 200 OK
"flight_number": "U2 8055",
"departure_airport": "LGW",
"arrival_airport": "MXP",
"departure_time": "2026-05-14T07:10:00Z",
"duration_minutes": 125,
"aircraft_type": "A320"
# flight_numberdeparture_airportarrival_airportdeparture_timearrival_timeduration_minutes
1
2
3

Complete list of extractable fields for Standard Fares & Pricing objects from easyjet.com. All fields typed and schema-versioned.

flight_numberdeparture_datebase_faretaxestotal_pricecurrencyseats_remainingprice_timestampfare_classis_promo
standard_fares & pricing
● 200 OK
"flight_number": "U2 8055",
"base_fare": 45.99,
"taxes": 15.0,
"total_price": 60.99,
"currency": "GBP",
"seats_remaining": 4,
"price_timestamp": "2026-04-12T08:14:00Z"
# flight_numberdeparture_datebase_faretaxestotal_pricecurrency
1
2
3

Complete list of extractable fields for Ancillary & Flexi Fares objects from easyjet.com. All fields typed and schema-versioned.

flight_numberstandard_farestandard_plus_fareflexi_farelarge_cabin_bag_pricehold_bag_15kg_pricehold_bag_23kg_priceseat_selection_min_pricefast_track_price
ancillary_& flexi fares
● 200 OK
"flight_number": "U2 8055",
"standard_plus_fare": 85.99,
"flexi_fare": 120.99,
"large_cabin_bag_price": 24.5,
"hold_bag_23kg_price": 35.99,
"seat_selection_min_price": 5.99
# flight_numberstandard_farestandard_plus_fareflexi_farelarge_cabin_bag_pricehold_bag_15kg_price
1
2
3

Complete list of extractable fields for Route Network objects from easyjet.com. All fields typed and schema-versioned.

origin_iatadestination_iataorigin_namedestination_namecountry_origincountry_destinationflight_frequency_weeklyseasonal_routefirst_flight_datelast_flight_date
route_network
● 200 OK
"origin_iata": "LGW",
"destination_iata": "MXP",
"origin_name": "London Gatwick",
"destination_name": "Milan Malpensa",
"flight_frequency_weekly": 21,
"seasonal_route": false
# origin_iatadestination_iataorigin_namedestination_namecountry_origincountry_destination
1
2
3

Complete list of extractable fields for easyJet Holidays objects from easyjet.com. All fields typed and schema-versioned.

package_idhotel_namedestinationstar_ratingboard_basisdeparture_dateduration_nightstotal_priceprice_per_personincludes_transfersincludes_bags
easyjet_holidays
● 200 OK
"hotel_name": "Sol Tenerife",
"destination": "Tenerife",
"star_rating": 4.0,
"board_basis": "Half Board",
"duration_nights": 7,
"price_per_person": 459.0
# package_idhotel_namedestinationstar_ratingboard_basisdeparture_date
1
2
3

Capabilities

Complete easyJet flight data extraction

Our scraping infrastructure targets the easyJet booking engine, capturing dynamic fares, ancillary costs, and schedule changes across thousands of routes daily.

Flight Schedule Extraction

Extract departure times, arrival times, flight numbers, and aircraft types across the entire easyJet network.

Dynamic Fare Tracking

Monitor Standard, Standard Plus, and Flexi fare fluctuations in real time across multiple currencies.

Ancillary Pricing Data

Capture dynamic pricing for large cabin bags, 15kg/23kg hold luggage, and sports equipment.

Seat Selection Costs

Extract pricing tiers for standard, up front, and extra legroom seats per flight.

easyJet Holidays Packages

Scrape hotel details, board basis, flight inclusions, and package pricing for easyJet Holidays.

Route Network Discovery

Map active routes, seasonal additions, and frequency changes between all easyJet hubs.

High-Frequency Polling

Track price volatility on high-demand routes with hourly or sub-hourly extraction cadences.

Point-of-Sale Localisation

Extract pricing relative to specific regional points of sale to detect geographical price discrimination.

Availability Monitoring

Track seat scarcity indicators to model booking velocity and flight load factors.

// engagement pipeline

From route list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide origin-destination pairs, date ranges, or holiday destinations. We map the extraction schema together.

Pipeline Build
d 2–4

We configure Playwright crawlers, proxy rotation, and session management for the easyJet booking engine.

Validation & QA
d 4–6

Schema validation, null-rate checks, and price-outlier detection before full production launch.

Delivery
ongoing

JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

Bypassing airline bot mitigation

Airlines employ aggressive rate limiting and session tracking. Here is how we maintain reliable extraction against the easyJet booking flow.

pipeline-monitor · easyjet.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Session integrity
Cookie and token management

The easyJet booking engine requires strict session continuity. We manage cookie jars and CSRF tokens across the search-to-results funnel to prevent session drops.

Bot mitigation
Residential proxy rotation

Airlines block datacenter IPs aggressively. We route requests through European residential proxies, rotating IPs to avoid rate limits while maintaining regional pricing accuracy.

Dynamic rendering
Playwright execution

Fares and ancillary prices are hydrated via complex frontend JavaScript. We use headless Playwright browsers to execute the SPA logic and capture the final rendered DOM.

Concurrency control
Throttled extraction queues

To avoid triggering volumetric alarms, we distribute searches across thousands of IPs with randomised delays, keeping request rates below the WAF threshold.

Data normalisation
Currency and timezone alignment

Flights across different European hubs present mixed currencies and local times. We normalise all outputs to UTC and requested base currencies.

Applications

Who uses easyJet data

Teams across industries use easyjet.com data to build competitive products and smarter operations.

01
Competitor Price Tracking

Rival airlines and OTAs monitor easyJet fares to adjust their own pricing algorithms and remain competitive on overlapping routes.

02
Market Intelligence

Aviation analysts track route expansions, frequency changes, and seasonal network adjustments to model capacity and market share.

03
Dynamic Pricing Models

Revenue management teams analyse easyJet price curves relative to departure dates to optimise their own yield management systems.

04
Travel Aggregation

Metasearch engines and corporate travel platforms ingest schedule and fare data to provide comprehensive booking options.

05
Ancillary Revenue Analysis

Airlines benchmark baggage fees, seat selection costs, and Flexi fare premiums against easyJet ancillary pricing strategies.

06
Demand Forecasting

Hedge funds and institutional investors track flight availability and pricing velocity to forecast quarterly passenger volumes and revenue.

Why DataFlirt

"Airline pricing is the ultimate dynamic dataset. Tracking easyJet fares across thousands of routes requires infrastructure that treats web scraping like high-frequency trading."

Extracting data from modern airline booking engines is complex. Rate limits, session tracking, and JavaScript-heavy frontends break standard HTTP clients. DataFlirt manages the residential proxies, browser rendering, and schema maintenance so your analysts can focus on yield management and pricing strategy.

Technical Spec

Easyjet scraper technical capabilities

Everything supported by our easyjet.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

Dynamic fare extraction
Capture standard, plus, and flexi tiers
Supported
Ancillary pricing
Baggage and seat selection costs
Supported
Multi-currency
Extract fares in GBP, EUR, CHF, etc.
Supported
Route mapping
Full origin-destination network extraction
Supported
JavaScript rendering
Playwright sessions for SPA hydration
Supported
Proxy rotation
EU residential IPs to bypass WAF
Supported
easyJet Holidays
Package pricing and hotel details
Supported
easyJet Plus member pricing
Requires authenticated user sessions
Partial
Passenger booking records
Access to private PNRs and user profiles
Partial
Infrastructure

Infrastructure powering the pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across European regions. Rotation happens per-request with sticky sessions where required to maintain search flow integrity.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested format
CSV
Flat file with typed columns
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record for real-time downstream processing
API
REST endpoints for on-demand data retrieval
XLS
Formatted spreadsheets for business analysts
PostgreSQL
Direct database upserts with conflict resolution
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About easyjet.com scraping, legality, and pipeline operations.

Ask us directly →
Can you track easyJet fares across multiple departure dates?

Yes. We configure pipelines to poll specific routes across a rolling window of departure dates, capturing price curves as the flight date approaches.

How do you handle easyJet anti-bot measures?

We utilise European residential proxies, strict cookie session management, and Playwright for full browser rendering. This mimics legitimate user search behaviour and avoids WAF blocks.

Do you extract ancillary costs like baggage and seat selection?

Yes. We navigate the booking funnel to extract dynamic pricing for large cabin bags, hold luggage, and various seat tiers.

Can we monitor easyJet Holidays packages?

Yes. We extract hotel details, board basis, flight inclusions, and total package pricing from the easyJet Holidays portal.

Is the data normalised for timezone and currency?

All flight times can be normalised to UTC or kept in local time. Fares are extracted in the currency presented by the regional point of sale.

What is the delivery frequency for price monitoring?

We support daily, hourly, or custom cadences depending on route volatility and your specific intelligence requirements.

$ dataflirt scope --new-project --source=easyjet.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily route network updates or high-frequency price tracking across thousands of flights, we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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