We extract flight schedules, dynamic fares, seat maps, and Smiles loyalty pricing from Voegol. 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 Schedules objects from voegol.com.br. All fields typed and schema-versioned.
"flight_number": "G3 1042", "origin": "GRU", "destination": "SDU", "departure_time": "2026-08-14T08:30:00-03:00", "arrival_time": "2026-08-14T09:40:00-03:00", "duration_minutes": 70, "aircraft_type": "Boeing 737-800", "stops": 0, "operated_by": "GOL Linhas Aéreas"
| # | flight_number | origin | destination | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from voegol.com.br. All fields typed and schema-versioned.
"flight_number": "G3 1042", "fare_class": "Light", "base_price": 459.9, "taxes": 42.5, "total_price": 502.4, "currency": "BRL", "smiles_miles_required": 14500, "seats_remaining": 4, "scraped_at": "2026-05-12T10:15:00Z"
| # | flight_number | fare_class | base_price | taxes | total_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from voegol.com.br. All fields typed and schema-versioned.
"origin_airport": "CGH", "destination_airport": "BSB", "direct_flight": true, "frequency_weekly": 42, "season_start": "2026-01-01", "season_end": "2026-12-31", "distance_km": 870, "active_route": true
| # | origin_airport | destination_airport | direct_flight | frequency_weekly | season_start | season_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Maps objects from voegol.com.br. All fields typed and schema-versioned.
"flight_number": "G3 1042", "flight_date": "2026-08-14", "seat_row": "2", "seat_letter": "A", "seat_type": "Window", "is_available": true, "price": 65.0, "currency": "BRL", "gol_conforto": true
| # | flight_number | flight_date | seat_row | seat_letter | seat_type | is_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Ancillaries objects from voegol.com.br. All fields typed and schema-versioned.
"flight_number": "G3 1042", "fare_class": "Promo", "checked_bags_included": 0, "extra_bag_price": 120.0, "carry_on_allowance_kg": 10, "pet_in_cabin_price": 250.0, "seat_selection_fee_min": 35.0, "currency": "BRL"
| # | flight_number | fare_class | checked_bags_included | extra_bag_price | carry_on_allowance_kg | pet_in_cabin_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Voegol scraper handles complex search sessions, dynamic pricing matrices, and Smiles loyalty integrations, delivering clean airline data without the bot-blocking headaches.
Capture departure times, arrival times, aircraft types, and stopover details for all Voegol domestic and international routes.
Track pricing across Promo, Light, Plus, and Max fare families. Capture base fares, taxes, and total costs in BRL or USD.
Extract loyalty program pricing, mapping required Smiles miles and cash copay options for award flights.
Scrape seat map layouts, identifying occupied seats, available seats, and premium GOL Conforto upgrade fees.
Monitor baggage fees, pet transport costs, and priority boarding charges associated with different fare classes.
Map active routes, flight frequencies, and seasonal adjustments across the entire GOL Linhas Aéreas network.
Airline pricing changes rapidly. We support high-frequency polling on critical routes to capture yield management adjustments.
We handle the complex multi-step search flows, cookie generation, and token management required to access Voegol pricing.
Capture 'only X seats left at this price' warnings to model flight load factors and demand curves.
Brief in. Clean data out.
Provide origin destination pairs, date ranges, and required data fields. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, session management, and anti-bot handling for voegol.com.br.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines invest heavily in scraping detection to protect their pricing data. Here is how we stay resilient.
Airlines use advanced bot mitigation. Our crawlers use Brazilian residential ISP proxies with realistic browser fingerprints, passing JavaScript challenges and IP reputation checks.
Voegol pricing requires complex session state. We automate the entire search flow using Playwright, managing cookies and security tokens from origin selection to the final fare matrix.
The Voegol booking engine is a single page application. We execute JavaScript fully, wait for asynchronous API calls to resolve, and extract data directly from the hydrated DOM or intercepted network payloads.
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. We alert on null-rate spikes, missing fare classes, and layout changes, responding before your downstream models are affected.
Online Travel Agencies and competing airlines monitor Voegol fares to optimise their own pricing strategies.
Revenue management teams track seat availability and price increments to model competitor load factors.
Analysts track Smiles miles redemption rates against cash fares to calculate point valuations.
Aviation consultants monitor frequency changes and new route launches to assess market share.
Metasearch engines integrate direct Voegol pricing data to provide accurate comparisons for consumers.
Corporate travel managers track schedule changes and cancellations to manage employee itineraries.
"Airline pricing is highly dynamic and yield-managed, making continuous extraction the only way to build accurate market intelligence models for South American routes."
Airline websites employ aggressive rate limiting and complex session flows. We handle the residential proxy rotation, JavaScript execution, and session state required to extract Voegol flight data reliably, allowing your team to focus entirely on pricing analysis and route optimisation.
Everything supported by our voegol.com.br scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Playwright handles complex search flows, cookie sessions, and interaction flows required to navigate the Voegol booking engine.
We maintain pools of residential ISP proxies in Brazil. Rotation happens per-session to maintain state while avoiding rate limits.
Pipelines run on Kubernetes. Airflow handles scheduling for high-frequency price polling. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About voegol.com.br scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing is generally permissible. DataFlirt targets only public, non-authenticated search interfaces. We do not extract personal passenger data or access gated Smiles accounts. Clients should review applicable terms of service.
We use Brazilian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate security challenges.
Yes. We can configure the pipeline to extract the required Smiles miles and associated cash taxes for award flights, alongside standard revenue fares.
We can configure polling frequencies based on your requirements. Critical routes can be updated hourly, while broad network sweeps typically run daily.
Yes. We can extract the seat map for specific flights, identifying available seats, occupied seats, and the cost for premium GOL Conforto seating.
Our smallest packages start at a defined route list (typically 100-500 origin-destination pairs) with daily delivery. Contact us with your specific route requirements for a quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily network schedule dump or high-frequency price monitoring on competitive routes, we build and operate the pipeline. Tell us what you need.
