We extract flight schedules, dynamic pricing, seat availability, ShebaMiles reward tiers, and cargo status from Ethiopian Airlines. 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 ethiopianairlines.com. All fields typed and schema-versioned.
"flight_number": "ET500", "origin": "ADD", "destination": "IAD", "departure_time": "2026-10-12T22:30:00Z", "arrival_time": "2026-10-13T08:40:00Z", "duration_minutes": 1030, "aircraft_type": "Boeing 787-9 Dreamliner", "stops": 1, "codeshare_status": false
| # | flight_number | origin | destination | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from ethiopianairlines.com. All fields typed and schema-versioned.
"flight_number": "ET500", "date": "2026-10-12", "cabin_class": "Economy", "fare_basis": "YLEET", "base_fare": 850.0, "taxes": 124.5, "total_price": 974.5, "currency": "USD", "seats_remaining": 4, "refundable": false
| # | flight_number | date | cabin_class | fare_basis | base_fare | taxes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for ShebaMiles Rewards objects from ethiopianairlines.com. All fields typed and schema-versioned.
"route": "ADD-IAD", "cabin_class": "Business", "miles_required": 80000, "taxes_surcharges": 150.0, "currency": "USD", "availability_status": "Waitlist", "booking_class": "I", "upgrade_eligibility": true
| # | route | cabin_class | miles_required | taxes_surcharges | currency | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cargo Tracking objects from ethiopianairlines.com. All fields typed and schema-versioned.
"awb_number": "071-12345675", "origin": "ADD", "destination": "LHR", "current_status": "Departed", "status_timestamp": "2026-10-12T14:20:00Z", "flight_number": "ET700", "pieces": 12, "weight_kg": 450.5
| # | awb_number | origin | destination | current_status | status_timestamp | flight_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from ethiopianairlines.com. All fields typed and schema-versioned.
"origin_airport": "ADD", "dest_airport": "JNB", "distance_km": 4085, "frequency_per_week": 21, "direct_flight": true, "codeshare_partner": "SA", "seasonal_route": false, "equipment_list": "['B788', 'A350', 'B738']", "hub_connection": true
| # | origin_airport | dest_airport | distance_km | frequency_per_week | direct_flight | codeshare_partner |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ethiopian Airlines scraper handles multi-step booking flows, dynamic session states, and anti-bot challenges to deliver structured pricing, schedule, and cargo data at scale.
Extract global flight schedules, durations, layover times, and equipment types across the entire Ethiopian Airlines network.
Capture base fares, taxes, total prices, and fare basis codes across Economy and Cloud Nine cabins.
Track remaining seat counts and fare bucket availability to model load factors and demand curves.
Monitor award flight availability, mileage requirements, and co-pay taxes for loyalty program analysis.
Automate air waybill status checks to build real-time logistics dashboards for freight forwarders.
Extract fares in ETB, USD, EUR, or any supported local currency based on point of sale parameters.
Identify operating carriers versus marketing carriers for Star Alliance partner flights.
Track aircraft assignments, seat maps, and last-minute equipment swaps on specific routes.
Run batch extracts for historical pricing or real-time streaming for immediate fare alerts.
Brief in. Clean data out.
Provide origin destination pairs, dates, or AWB numbers. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management for ethiopianairlines.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airline booking engines use complex session management and bot mitigation. Here is how we maintain stable data flows.
Airline sites employ strict bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass WAF blocks.
Flight search results load dynamically via API calls bound to session tokens. We run full Playwright browser sessions to execute JavaScript and capture the hydrated DOM.
Extracting fare classes requires maintaining state across search, select, and review pages. Our pipeline handles cookie persistence and token passing automatically.
For continuous price monitoring, we maintain a hash index of last-seen fares. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing fare buckets, and schema drift, responding before you notice.
Online travel agencies monitor direct-channel pricing to optimise their own markup and discount strategies.
Aviation analysts track flight frequencies, equipment types, and estimated load factors to model route economics.
Freight forwarders automate AWB tracking to provide real-time shipment visibility to their end customers.
Travel consultancies track ShebaMiles award availability to benchmark loyalty program value against competitors.
Meta-search engines supplement GDS data with direct web-scraped fares to capture web-only promotional pricing.
Rival African and Middle Eastern carriers monitor Ethiopian Airlines network expansion and pricing tactics.
"Ethiopian Airlines operates the largest network in Africa. Accessing their real-time pricing and schedule data requires specialized extraction infrastructure."
Most teams underestimate the complexity of scraping airline booking engines. Reliable extraction requires residential proxies, full JavaScript rendering for SPA frameworks, complex session state management, and daily selector maintenance. DataFlirt absorbs that operational overhead.
Everything supported by our ethiopianairlines.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 orchestration and retry logic. Playwright manages JavaScript execution and complex booking flow navigation.
We maintain global pools of residential ISP proxies to bypass geographic pricing restrictions and bot detection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About ethiopianairlines.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We route requests through region-specific residential proxies to capture accurate local pricing and currency conversions as displayed to users in those markets.
For targeted route lists, we can configure hourly or sub-hourly polling. For full network sweeps, daily or twice-daily cadences are standard to balance coverage and compute costs.
Yes. We support automated tracking of Air Waybill (AWB) numbers through the Ethiopian Airlines cargo tracking interface, extracting routing history and current status.
Our schema normalises flight segments, explicitly mapping operating carriers versus marketing carriers, layover durations, and equipment changes across the itinerary.
We extract public award availability and mileage requirements directly from the booking engine. We do not extract user-specific account data.
Our pipelines use resilient selectors and fallback chains. We monitor schema drift in real time. If a major site update breaks extraction, our engineers patch the pipeline within our SLA window.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily schedule export or continuous price monitoring across 5,000 routes, we scope, build, and operate the pipeline. Tell us what you need.
