We extract dynamic flight pricing, multi-city itineraries, airline metadata, and availability from Flighthub. 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 flighthub.com. All fields typed and schema-versioned.
"flight_id": "FH-8841-YYZ-LHR", "origin_iata": "YYZ", "destination_iata": "LHR", "departure_time": "2024-11-12T18:30:00Z", "arrival_time": "2024-11-13T06:45:00Z", "duration_minutes": 435, "stop_count": 0, "airlines": "['Air Canada']"
| # | flight_id | origin_iata | destination_iata | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from flighthub.com. All fields typed and schema-versioned.
"flight_id": "FH-8841-YYZ-LHR", "total_price": 842.5, "base_fare": 610.0, "taxes_fees": 232.5, "currency": "CAD", "fare_class": "Economy Standard", "refundable_flag": false
| # | flight_id | base_fare | taxes_fees | total_price | currency | fare_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Baggage & Ancillaries objects from flighthub.com. All fields typed and schema-versioned.
"flight_id": "FH-8841-YYZ-LHR", "personal_item_included": true, "cabin_bag_included": true, "checked_bag_included": false, "checked_bag_allowance_kg": 0, "extra_bag_fee": 75.0
| # | flight_id | personal_item_included | cabin_bag_included | checked_bag_included | checked_bag_allowance_kg | extra_bag_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Segments & Connections objects from flighthub.com. All fields typed and schema-versioned.
"segment_id": "SEG-1", "flight_id": "FH-8841-YYZ-LHR", "origin": "YYZ", "destination": "LHR", "operating_carrier": "Air Canada", "flight_number": "AC856"
| # | segment_id | flight_id | origin | destination | operating_carrier | flight_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Metadata objects from flighthub.com. All fields typed and schema-versioned.
"search_id": "REQ-9921", "route": "YYZ-LHR", "travel_date": "2024-11-12", "adults": 1, "lowest_price_found": 842.5, "timestamp": "2024-10-01T14:22:11Z"
| # | search_id | route | travel_date | adults | children | infants |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Flighthub scraper handles complex search hydration, multi-city routing, dynamic pricing matrices, and baggage policy parsing. Built to bypass aggressive OTA rate limits.
Real-time extraction of base fares, taxes, and total pricing for any route combination and passenger configuration.
Capture complex routing data, including layover durations, terminal changes, and operating carriers across all segments.
Extract cabin and checked baggage allowances, weight limits, and ancillary fee structures tied to specific fare tiers.
Identify Basic Economy, Standard, and Premium fare tiers with their associated cancellation and change rules.
Extract operating versus marketing carriers, flight numbers, and specific aircraft equipment types per segment.
Monitor low-stock warnings and remaining seat counts on specific fare classes to gauge route demand.
Extract pricing in native currencies with accurate exchange rate mapping directly from the platform.
Navigate deep into search results to capture all available flight combinations, not just the lowest price.
Iterate across flexible date matrices to build comprehensive fare calendars for high-priority corridors.
Brief in. Clean data out.
Provide IATA route pairs, date ranges, and passenger configurations. We design the extraction schema together.
We configure Playwright crawlers, session tokens, and residential proxy rotation specifically for flighthub.com.
Schema validation, price outlier detection, and itinerary logic checks before full pipeline launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Flighthub employs strict rate limiting and transient session states. Here is how we maintain reliable extraction.
Flighthub employs strict rate limits and IP reputation checks. We use residential ISP proxies with realistic TLS fingerprints and human-modelled request timing to avoid blocks.
Flight searches require complex state management. We execute full Playwright sessions to trigger search API calls, hydrate the DOM, and render results reliably.
OTA DOM structures shift constantly. We intercept underlying JSON API responses where possible and use fallback chains for DOM extraction to ensure stable data pipelines.
We maintain hash indexes of fare matrices. Subsequent runs only push price diffs, reducing downstream processing load and storage bloat for high-frequency checks.
Every pipeline emits structured logs. We alert on null-rate spikes, missing routes, and coverage drops automatically, ensuring SLA compliance.
Travel agencies monitor competitor pricing to ensure their own inventory remains competitive across key corridors.
Airlines track how their inventory is priced and packaged on third-party aggregators compared to direct channels.
Analysts evaluate route profitability, fare volatility, and carrier market share on specific domestic and international routes.
Metasearch engines enrich their own databases with Flighthub pricing matrices and ancillary fee data.
Procurement teams audit booked fares against market averages to enforce corporate travel policies and optimise budgets.
Data science teams correlate fare volatility and seat availability signals to predict route demand trends.
"Flighthub aggregates millions of volatile fare combinations daily, but extracting that pricing matrix requires navigating aggressive bot mitigation and transient session states."
Most teams underestimate the investment required. Reliable OTA scraping demands residential proxies, full JavaScript rendering for search hydration, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers focus on analysis, not infrastructure.
Everything supported by our flighthub.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 search state, DOM hydration, and API interception for OTA structures.
Pools of residential IPs rotate per request to bypass OTA rate limits. Sticky sessions are maintained for complex multi-step searches.
Pipelines run on AWS Lambda and ECS, scheduled via Airflow for strict SLAs. All execution state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About flighthub.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public flight data is generally permissible. We target non-authenticated pricing, itineraries, and airline metadata. We do not extract personal user data or bypass payment gateways. Clients should consult legal counsel for specific use cases.
We use residential ISP proxies, realistic browser fingerprints, and request timing modelled on human behaviour. Our pipelines intercept API responses to minimise DOM interaction where possible.
Yes. We configure pipelines to execute complex routing searches and extract all segment details, including layover durations and terminal changes.
Pipelines can run at hourly cadences for high-priority routes, capturing real-time fare volatility and seat availability signals.
Yes. We parse the associated cabin and checked baggage allowances, weight limits, and ancillary fees for each fare tier.
Pipelines start at defined route lists with daily delivery. For complex date matrices or custom schemas, we price based on extraction volume and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need competitive OTA price tracking or comprehensive route profitability data, we scope, build, and operate the pipeline. Tell us what you need.
