We extract route schedules, live ticket prices, fare classes, and availability from Air Peace. 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 airpeace.com. All fields typed and schema-versioned.
"flight_number": "P4 7120", "origin_code": "LOS", "destination_code": "ABV", "departure_time_local": "2026-10-14T07:00:00", "arrival_time_local": "2026-10-14T08:10:00", "aircraft_type": "Boeing 737", "flight_duration_mins": 70, "stops_count": 0
| # | flight_number | origin_code | destination_code | departure_time_local | arrival_time_local | aircraft_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ticket Pricing objects from airpeace.com. All fields typed and schema-versioned.
"flight_number": "P4 7120", "fare_class": "Economy Flex", "base_fare": 85000.0, "total_taxes": 12500.0, "total_fare": 97500.0, "currency": "NGN", "seats_remaining": 4, "refundable_status": true
| # | flight_number | fare_class | base_fare | total_taxes | total_fare | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from airpeace.com. All fields typed and schema-versioned.
"origin_airport": "Lagos (LOS)", "destination_airport": "London (LGW)", "region_type": "International", "direct_flight": true, "weekly_frequency": 7, "active_status": true, "seasonal_route": false
| # | route_id | origin_airport | destination_airport | region_type | direct_flight | weekly_frequency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage Policies objects from airpeace.com. All fields typed and schema-versioned.
"fare_class": "Economy Non-Flex", "cabin_bag_kg": 6, "checked_bag_kg": 15, "excess_baggage_fee_per_kg": 1000.0, "infant_allowance_kg": 10, "sporting_goods_allowed": true, "currency": "NGN"
| # | fare_class | cabin_bag_kg | checked_bag_kg | excess_baggage_fee_per_kg | infant_allowance_kg | sporting_goods_allowed |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tax Breakdowns objects from airpeace.com. All fields typed and schema-versioned.
"flight_number": "P4 7120", "fare_class": "Economy Flex", "passenger_service_charge": 2000.0, "security_charge": 1500.0, "fuel_surcharge": 4000.0, "vat_amount": 5000.0, "total_taxes": 12500.0
| # | flight_number | fare_class | passenger_service_charge | security_charge | fuel_surcharge | vat_amount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Air Peace scraper navigates complex booking engines, manages stateful search sessions, and circumvents anti-bot systems to deliver pristine schedule and fare data.
Capture flight numbers, origin, destination, departure, arrival, and aircraft types across domestic and international routes.
Extract base fares, itemised taxes, and total ticket prices across all available fare classes.
Retrieve pricing in NGN, USD, or GBP depending on the selected point of sale and regional settings.
Capture low stock warnings and sold-out statuses to model load factors and demand curves.
Monitor the entire active route network to discover new destinations and frequency adjustments.
Differentiate pricing and rules between Economy Non-Flex, Economy Flex, and Business class tickets.
Navigate multi-step search forms and manage stateful session tokens required to access live pricing.
Extract the itemised breakdown of passenger service charges, security fees, and fuel surcharges.
Execute one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and required fare classes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for airpeace.com.
Schema validation, null-rate checks, price-outlier detection, and sample schedules before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airline booking engines utilise strict session management and rate limiting. Here is how we ensure reliable data extraction.
Air Peace search forms require sequential payload submissions with valid session tokens. Our pipeline manages these stateful sessions, ensuring search requests do not expire or return empty results.
Frequent searches from a single IP trigger Web Application Firewalls. We utilise residential proxies with realistic routing to distribute requests and prevent IP bans.
We bypass heavy UI rendering by targeting the underlying API endpoints directly where possible, constructing valid XHR payloads to retrieve JSON responses faster and more reliably.
Airline websites update promotional banners and layout structures frequently. Our extraction logic relies on multiple fallback selectors to ensure uninterrupted data flow.
We monitor pipelines for sudden drops in flight availability or unexpected zero-price returns, alerting our engineering team immediately to investigate booking engine anomalies.
Online Travel Agencies compare direct Air Peace prices against their own platforms to ensure competitive parity.
Rival airlines track NGN and USD fare fluctuations on overlapping West African routes to adjust their own pricing.
Aviation analysts monitor seat availability signals and flight frequencies to estimate load factors and route profitability.
Metasearch engines ingest live schedule and pricing data to display accurate Air Peace flight options to users.
Consultancies study West African aviation trends, tracking Air Peace network expansion and capacity deployment.
Travel management companies automate schedule ingestion to optimise booking workflows for corporate clients.
"Air Peace controls the largest aviation network in West Africa. Accessing their live schedule and pricing data is critical for regional travel aggregators."
Extracting data from airline booking engines requires stateful session management, complex form submissions, and IP rotation to avoid search lockouts. DataFlirt manages this infrastructure so your team can focus on fare analysis and route mapping rather than pipeline maintenance.
Everything supported by our airpeace.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.
Playwright handles complex JavaScript rendering and stateful token management required to navigate the Air Peace search interface reliably.
We maintain pools of residential ISP proxies to distribute search requests, preventing WAF blocks and IP rate limiting.
Pipelines run on AWS Lambda and ECS. 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 airpeace.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible. DataFlirt targets only public, non-authenticated booking engine data. We do not extract personal passenger data, circumvent authentication walls for frequent flyer accounts, or violate GDPR. Clients should review the airline's ToS and consult legal counsel for specific use cases.
We manage session state precisely, submitting payloads within the required time windows and refreshing tokens automatically. If a search session drops, our retry policies initiate a fresh search context.
Yes. We configure the crawlers to select specific currencies or points of sale prior to executing the search, allowing us to capture fares in NGN, USD, or GBP.
For continuous pipelines targeting specific high-value routes, we can achieve sub-60-minute latency. Full network sweeps typically run on a daily cadence.
Yes. We extract the itemised breakdown of taxes, including passenger service charges, security fees, and fuel surcharges, rather than just the total ticket price.
Our smallest packages start at a defined list of origin-destination pairs with daily delivery. For full network monitoring or real-time streaming, we price based on 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 full route network dump or continuous fare monitoring across specific corridors, we scope, build, and operate the pipeline. Tell us what you need.
