We extract flight schedules, dynamic pricing signals, hotel inventory, and car rental rates from Cheapoair. 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 Itineraries objects from cheapoair.com. All fields typed and schema-versioned.
"route_id": "JFK-LHR-20261012", "origin": "JFK", "destination": "LHR", "airline": "British Airways", "flight_number": "BA112", "price": 542.0, "currency": "USD", "stops": 0, "duration": "7h 10m", "cabin_class": "Economy"
| # | route_id | origin | destination | departure_time | arrival_time | airline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Inventory objects from cheapoair.com. All fields typed and schema-versioned.
"hotel_id": "LON-84921", "name": "The Savoy", "location": "London, UK", "star_rating": 5, "price_per_night": 850.0, "currency": "USD", "review_score": 4.8, "room_type": "Deluxe King", "availability": true
| # | hotel_id | name | location | star_rating | price_per_night | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Car Rentals objects from cheapoair.com. All fields typed and schema-versioned.
"rental_id": "HERTZ-LHR-992", "provider": "Hertz", "car_type": "Compact SUV", "pickup_location": "LHR Terminal 5", "price_per_day": 45.0, "currency": "USD", "transmission": "Automatic", "mileage_policy": "Unlimited"
| # | rental_id | provider | car_type | pickup_location | dropoff_location | price_per_day |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Fees objects from cheapoair.com. All fields typed and schema-versioned.
"flight_id": "BA112-20261012", "airline": "British Airways", "cabin_bag_allowance": "1 Personal Item", "checked_bag_fee": 60.0, "seat_selection_fee": 25.0, "change_fee": 150.0, "refund_eligibility": false
| # | flight_id | airline | cabin_bag_allowance | checked_bag_fee | seat_selection_fee | cancellation_policy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from cheapoair.com. All fields typed and schema-versioned.
"search_id": "REQ-99281-A", "origin": "JFK", "destination": "LHR", "travel_dates": "2026-10-12 to 2026-10-19", "lowest_price": 542.0, "highest_price": 4200.0, "total_options": 142, "scraped_at": "2026-05-12T10:15:00Z"
| # | search_id | keyword | origin | destination | travel_dates | lowest_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Cheapoair scraper handles dynamic travel pricing, multi-city route permutations, and aggressive bot mitigation. Delivered ready for analysis.
Airlines, flight numbers, departure times, layover durations, and operating carriers across single, round-trip, and multi-city searches.
Extract base fares, taxes, baggage fees, and seat selection costs. Timestamped for accurate price volatility tracking.
Track room types, daily rates, cancellation policies, and amenity lists across Cheapoair hotel inventory.
Capture daily rates, vehicle classes, pickup locations, and provider details from integrated rental partners.
Configure pipelines for daily, hourly, or sub-hourly runs to capture intraday airline pricing adjustments.
Route requests through specific geographic proxies to capture region-specific pricing and availability.
Bypass Akamai and Datadome protections using residential proxies and realistic browser fingerprinting.
Maintain complex search states across paginated results without triggering session timeouts.
Clean JSON, CSV, or Parquet files delivered directly to your cloud storage or data warehouse.
Brief in. Clean data out.
Provide origin-destination pairs, dates, hotel locations, or rental criteria. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for cheapoair.com.
Schema validation, null-rate checks, price-outlier detection, and sample itineraries before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators deploy aggressive bot mitigation to protect pricing data. Here is how we stay resilient.
Cheapoair uses advanced bot detection targeting TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Flight search results load dynamically via complex API calls. We run full Playwright browser sessions to trigger search execution and hydrate pricing widgets.
Travel searches expire quickly. Our pipeline detects session invalidation and automatically reconstructs the search parameters to resume extraction without data loss.
DOM structures change frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and price outliers, responding before you notice.
Online travel agencies monitor Cheapoair pricing to adjust their own margins and maintain competitive parity.
Airlines and revenue managers track aggregator pricing signals to optimise seat pricing algorithms.
Aviation analysts extract historical pricing data across specific corridors to evaluate route performance.
Hotel chains audit Cheapoair listings to ensure compliance with minimum advertised price agreements.
Meta-search engines integrate Cheapoair pricing feeds to provide comprehensive options to end users.
Hedge funds track travel demand and pricing volatility as leading indicators for economic activity.
"Cheapoair aggregates millions of dynamic travel pricing signals daily, but accessing that raw data requires bypassing sophisticated anti-scraping infrastructure."
Most teams underestimate the investment required: reliable travel scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our cheapoair.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 cheapoair.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and availability information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated flight and hotel data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour to bypass Akamai and Datadome protections common on OTA platforms.
Flight pricing is highly volatile. We can configure pipelines to run hourly or sub-hourly for specific high-priority routes, ensuring your models receive accurate intraday price signals.
Yes. Our pipeline captures the full breakdown of ancillary fees surfaced during the booking flow, providing true total-cost comparisons.
Yes. We can execute complex multi-leg queries and extract the corresponding pricing and layover data.
Our smallest packages start at a defined route list (typically 1,000 origin-destination pairs) with daily delivery. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 100 routes as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off route analysis or a continuous price-monitoring feed across 10,000 corridors, we scope, build, and operate the pipeline. Tell us what you need.
