We extract flight schedules, dynamic pricing, Avios availability, fare families, and route networks from Iberia. 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 iberia.com. All fields typed and schema-versioned.
"flight_number": "IB3166", "departure_airport": "MAD", "arrival_airport": "LHR", "departure_time": "2026-08-14T15:30:00Z", "arrival_time": "2026-08-14T16:55:00Z", "duration_minutes": 145, "aircraft_type": "Airbus A330-200", "operated_by": "Iberia"
| # | flight_number | departure_airport | arrival_airport | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from iberia.com. All fields typed and schema-versioned.
"flight_number": "IB3166", "departure_date": "2026-08-14", "currency": "EUR", "basic_fare": 84.0, "optima_fare": 114.0, "business_fare": 345.0, "scrape_timestamp": "2026-05-12T08:12:44Z"
| # | flight_number | departure_date | currency | basic_fare | optima_fare | comfort_fare |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Avios & Rewards objects from iberia.com. All fields typed and schema-versioned.
"flight_number": "IB3166", "date": "2026-08-14", "avios_required": 7500, "cash_surcharge": 23.5, "cabin_class": "Economy", "availability_status": "Available", "peak_offpeak": "Peak"
| # | flight_number | date | avios_required | cash_surcharge | cabin_class | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Extras objects from iberia.com. All fields typed and schema-versioned.
"flight_number": "IB3166", "fare_type": "Basic", "cabin_bag_allowance": "1 piece + personal item", "checked_bag_allowance": "0", "extra_bag_price": 35.0, "meal_included": false
| # | flight_number | fare_type | cabin_bag_allowance | checked_bag_allowance | extra_bag_price | seat_selection_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from iberia.com. All fields typed and schema-versioned.
"origin": "MAD", "destination": "JFK", "direct_flight": true, "frequency_per_week": 14, "distance_km": 5776, "stops": 0
| # | origin | destination | direct_flight | frequency_per_week | distance_km | seasonality |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Iberia scraper navigates complex session states, dynamic pricing algorithms, and strict anti-bot measures to deliver structured airline data at scale.
Capture departure times, arrival times, aircraft types, and operating carriers across the entire Iberia and Oneworld codeshare network.
Monitor pricing across Basic, Optima, Comfort, and Business fare families. Timestamped updates for accurate yield management analysis.
Extract reward flight availability, Avios points required, cash surcharges, and peak/off-peak classifications.
Track baggage allowances, extra luggage fees, and seat selection costs associated with different fare classes.
Map complex itineraries, connection times, layover airports, and total journey durations.
Extract pricing natively in EUR, USD, GBP, and other local currencies based on the point of sale.
Run pipelines at hourly or daily cadences to capture sudden price drops or availability changes.
Maintain complex search sessions and cookie states required to access deep pricing data without timing out.
Build time-series datasets showing how fares for specific routes evolve as the departure date approaches.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and required fare families. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for iberia.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 websites employ aggressive bot mitigation and complex session architectures. Here is how we ensure reliable data delivery.
Iberia's search engine requires maintaining complex cookie states and session tokens across multiple requests. We manage these stateful interactions automatically, preventing session timeouts and search resets.
Airlines aggressively block datacenter IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to bypass Akamai and other bot mitigation systems.
Prices on Iberia update dynamically via background API calls. We use Playwright to execute JavaScript and intercept the underlying network requests, ensuring we capture the final, fully-loaded price.
Flight search result layouts change frequently. We employ multi-layer fallback chains using CSS, XPath, and API payload interception to maintain pipeline stability during frontend updates.
We monitor extracted fares for statistical anomalies. If a pipeline reports a zero-dollar fare or a massive spike, the system automatically flags the record and retries the search to confirm accuracy.
Online travel agencies integrate direct Iberia pricing and availability into their platforms to provide comprehensive flight options.
Rival airlines track Iberia's fare changes on overlapping routes to optimise their own dynamic pricing algorithms.
Frequent flyer platforms monitor reward seat availability and alert users when high-value redemption options open up.
Travel management companies analyse historical pricing trends to negotiate better corporate rates and optimise booking windows.
Aviation consultants analyse frequency changes, aircraft deployments, and codeshare patterns across the Oneworld network.
Financial analysts use price volatility and seat availability metrics as leading indicators for airline revenue performance.
"Iberia's pricing engine updates constantly across thousands of routes, creating a highly volatile dataset that requires continuous monitoring."
Extracting airline data requires navigating complex session states, dynamic pricing algorithms, and strict anti-bot measures. DataFlirt manages the proxy rotation, session handling, and schema maintenance so your engineering team receives clean, structured data without building scraping infrastructure.
Everything supported by our iberia.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 retry logic. Playwright manages complex flight search sessions, cookie handling, and dynamic price hydration.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-search with sticky sessions to maintain state during multi-step booking flows.
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 iberia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated data. We do not extract personal data, circumvent authentication walls, or scrape individual Iberia Plus accounts.
We use EU-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and managed cookie states. This approach mimics genuine user search patterns and prevents IP bans.
Yes. We track reward seat availability, the Avios points required, cash surcharges, and peak/off-peak classifications for specific routes and dates.
Yes. Our schema includes pricing for Basic, Optima, Comfort, and Business fares, along with the associated baggage allowances and seat selection rules.
Pipelines can be configured to run at custom cadences. For high-priority routes, we offer hourly extraction to track volatile pricing changes accurately.
Yes. We extract full itinerary details, including layover durations, connection airports, and operating carriers for codeshare segments.
We provide a sample extraction of up to 50 routes during the pre-engagement scoping process. This allows you to validate the schema, field completeness, and data accuracy before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily schedule dump or continuous fare monitoring across thousands of routes — we scope, build, and operate the pipeline. Tell us what you need.
