SYSTEM all green source voeazul.com.br queue 12,941 routes p99 latency 842ms dataflirt.com · scraper/voeazul-com.br
RUN - 31 active pipelines - voeazul.com.br live

VoeAzul flight data,
at warehouse scale.

We extract flight schedules, dynamic pricing, TudoAzul point values, fare classes, and seat availability from VoeAzul. 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 combinations
8,492 /run
Active pipelines
31
Uptime
99.94%
Data Dictionary

Every field we extract from voeazul.com.br

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 voeazul.com.br. All fields typed and schema-versioned.

flight_numberorigin_iatadestination_iatadeparture_timearrival_timeduration_minutesaircraft_typestopsoperated_byflight_status
flight_schedules
● 200 OK
"flight_number": "AD4042",
"origin_iata": "VCP",
"destination_iata": "SDU",
"departure_time": "2026-08-14T08:15:00-03:00",
"arrival_time": "2026-08-14T09:25:00-03:00",
"duration_minutes": 70,
"aircraft_type": "Embraer 195",
"stops": 0,
"operated_by": "Azul Linhas Aereas"
# flight_numberorigin_iatadestination_iatadeparture_timearrival_timeduration_minutes
1
2
3

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

flight_idsearch_datefare_classprice_brltax_amount_brltotal_price_brlcurrencybaggage_allowancerefund_policychange_fee_brl
pricing_& fares
● 200 OK
"flight_id": "AD4042_VCP_SDU_20260814",
"search_date": "2026-05-12T10:00:00Z",
"fare_class": "Mais Azul",
"price_brl": 489.9,
"tax_amount_brl": 39.5,
"total_price_brl": 529.4,
"currency": "BRL",
"baggage_allowance": "1 piece 23kg",
"refund_policy": "Non-refundable"
# flight_idsearch_datefare_classprice_brltax_amount_brltotal_price_brl
1
2
3

Complete list of extractable fields for TudoAzul Points objects from voeazul.com.br. All fields typed and schema-versioned.

flight_idpoints_requiredpoints_plus_cash_brltax_brlclube_azul_discountavailability_statusredemption_classpromo_appliedscraped_at
tudoazul_points
● 200 OK
"flight_id": "AD4042_VCP_SDU_20260814",
"points_required": 12500,
"points_plus_cash_brl": 150.0,
"tax_brl": 39.5,
"clube_azul_discount": true,
"availability_status": "Available",
"redemption_class": "Economy",
"promo_applied": "FDS_AZUL"
# flight_idpoints_requiredpoints_plus_cash_brltax_brlclube_azul_discountavailability_status
1
2
3

Complete list of extractable fields for Seat Availability objects from voeazul.com.br. All fields typed and schema-versioned.

flight_idtotal_seatsavailable_seatsespaco_azul_availablestandard_seats_availableseat_price_brlseat_map_urllast_updated
seat_availability
● 200 OK
"flight_id": "AD4042_VCP_SDU_20260814",
"total_seats": 118,
"available_seats": 42,
"espaco_azul_available": 12,
"standard_seats_available": 30,
"seat_price_brl": 55.0,
"last_updated": "2026-05-12T10:05:00Z"
# flight_idtotal_seatsavailable_seatsespaco_azul_availablestandard_seats_availableseat_price_brl
1
2
3

Complete list of extractable fields for Route Intelligence objects from voeazul.com.br. All fields typed and schema-versioned.

origin_airportdest_airportdirect_flightfrequency_weeklyfirst_flight_timelast_flight_timeaverage_duration_minutesseasonal_routeactive_status
route_intelligence
● 200 OK
"origin_airport": "Campinas (VCP)",
"dest_airport": "Rio de Janeiro (SDU)",
"direct_flight": true,
"frequency_weekly": 45,
"first_flight_time": "06:00",
"last_flight_time": "22:30",
"average_duration_minutes": 75,
"seasonal_route": false
# origin_airportdest_airportdirect_flightfrequency_weeklyfirst_flight_timelast_flight_time
1
2
3

Capabilities

Complete VoeAzul data extraction

Our VoeAzul scraper handles complex search flows, dynamic pricing hydration, and strict airline bot mitigation to deliver structured flight data.

Flight Schedule Extraction

Extract departure times, arrival times, flight numbers, aircraft types, and layover details for all domestic and international routes.

Dynamic Pricing Tracking

Capture base fares, taxes, and total prices in BRL or USD across different dates and routes.

TudoAzul Points Valuation

Extract point redemption requirements, Clube Azul discounts, and points-plus-cash combinations.

Fare Class Mapping

Differentiate pricing and rules between Azul, Mais Azul, and Azul Super fare categories.

Seat Availability

Monitor available inventory, Espaco Azul premium seating availability, and specific seat selection fees.

Baggage Rules

Extract baggage allowance tiers and additional baggage purchase costs per fare class.

Multi-City Search Execution

Execute complex multi-segment itineraries to track pricing on interconnected routes.

High-Frequency Updates

Run pipelines at hourly or daily intervals to track yield management pricing changes.

Bot Mitigation Bypass

Navigate airline anti-bot systems using residential proxies and browser fingerprinting.

// engagement pipeline

From route list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide origin-destination pairs, date ranges, and passenger configurations. We design the schema.

Pipeline Build
d 2–4

We configure Playwright crawlers, proxy rotation, and session token management for voeazul.com.br.

Validation & QA
d 4–6

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

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on your required cadence.

Under the hood

How our VoeAzul pipeline handles airline systems

Airlines invest heavily in scraping prevention to protect pricing data. Here is how we maintain reliable extraction.

pipeline-monitor · voeazul.com.br · 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
Anti-bot layer
Residential proxy rotation and fingerprinting

Airlines use strict WAF rules and IP reputation checks. Our crawlers use Brazilian residential ISP proxies with realistic browser fingerprints to blend in with legitimate traveler traffic.

Session management
Search token hydration

VoeAzul search results rely on complex session tokens generated during the initial search request. We run full browser sessions to execute JavaScript, capture these tokens, and maintain state across multi-step booking flows.

Dynamic pricing
Handling yield management updates

Flight prices change constantly based on inventory and demand. Our infrastructure supports high-frequency polling to capture these fluctuations without triggering rate limits.

Schema stability
Resilient DOM parsing

Airline booking engines update frequently. We use multiple fallback selectors and intercept backend API responses where possible to ensure data flows even when the frontend UI changes.

Monitoring
Anomaly detection

We monitor pipelines for sudden price drops, high null rates, or missing flights, alerting our engineers before corrupt data reaches your warehouse.

Applications

Who uses VoeAzul data

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

01
OTA Aggregation

Online travel agencies aggregate Azul pricing and schedules to offer comprehensive booking options.

02
Competitor Intelligence

Rival airlines monitor Azul pricing on overlapping routes to adjust their own yield management strategies.

03
Loyalty Program Analysis

Points aggregators track TudoAzul redemption values to calculate point-to-cash ratios for users.

04
Travel Tech Platforms

Corporate travel managers integrate direct pricing feeds to audit booking platform efficiency.

05
Machine Learning Forecasting

Data science teams use historical pricing datasets to train predictive models for future airfare trends.

06
Route Planning

Aviation analysts track flight frequencies and aircraft deployment to understand Azul network expansion.

Why DataFlirt

"VoeAzul operates the most extensive domestic flight network in Brazil, but extracting their dynamic pricing and point valuations requires sophisticated session management."

Airlines deploy aggressive bot mitigation to protect pricing data. Reliable extraction from voeazul.com.br requires residential proxies, full JavaScript execution to handle search tokens, and CAPTCHA circumvention. DataFlirt manages this infrastructure so your engineering team receives clean data without operational overhead.

Technical Spec

VoeAzul scraper technical capabilities

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

JavaScript rendering
Full Playwright sessions required for search token generation and dynamic content
Supported
CAPTCHA bypass
Automated solver integration to navigate airline WAF protections
Supported
Residential proxies
Brazilian ISP-grade IPs rotated to prevent rate limiting
Supported
TudoAzul points extraction
Capture point requirements alongside cash pricing
Supported
Multi-currency support
Extract fares in BRL and USD based on locale settings
Supported
Seat map parsing
Extract available seat counts and premium seat pricing
Supported
User profile booking history
Extraction of past bookings from authenticated user accounts
Partial
Credit card restricted fares
Special pricing requiring specific Azul Itau card BIN validation
Partial
Infrastructure

Infrastructure powering the VoeAzul pipeline

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

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheusBigQuerySnowflake
Playwright Orchestration

Playwright handles complex booking flows, cookie sessions, and interaction events necessary to load flight results.

Proxy Infrastructure

We maintain pools of Brazilian residential proxies to ensure requests originate from expected geographic regions.

Cloud-Native Execution

Pipelines scale dynamically on Kubernetes to handle high-volume concurrent searches across thousands of routes.

Output & Delivery

Your data, your destination

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

JSON
Nested schema versioned per run
CSV
Flat file with typed columns
XLS
Excel compatible format for analyst teams
Parquet
Columnar format for data warehouses
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record for real-time processing
API
REST endpoint to query recent extractions
Snowflake
Stage and COPY INTO workflow
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About voeazul.com.br scraping, legality, and pipeline operations.

Ask us directly →
Can you extract TudoAzul point values?

Yes. We extract both standard BRL pricing and TudoAzul point redemption requirements, including points-plus-cash options and Clube Azul member discounts.

How do you handle airline bot protection?

We use Brazilian residential proxies, realistic browser fingerprinting, and automated CAPTCHA solvers to navigate WAF rules without triggering blocks.

Can you scrape seat availability?

Yes. We can parse the seat map during the booking flow to count available standard seats and Espaco Azul premium seats, along with their selection fees.

How frequently can you update prices?

We can configure pipelines to run daily, hourly, or at custom intervals depending on your requirement to track yield management changes.

Do you support multi-city searches?

Yes. Our crawlers can execute multi-segment itineraries to extract pricing for complex route combinations.

Can I get historical pricing data?

We build forward-looking pipelines. Historical time-series data is accumulated from the day your pipeline is commissioned.

$ dataflirt scope --new-project --source=voeazul.com.br 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 price tracking across 500 routes or a complete schedule database, we scope, build, and operate the pipeline. Tell us what you need.

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