Flight Award & Itinerary Scraper – Miles, Taxes & Cabins

Scrape award flight availability from multiple loyalty programs and airlines: mileage cost, taxes/fees, cabin availability (economy, premium, business, first), full itineraries, and segment-level route metadata — ready for analytics, dashboards, or travel-hacking tools.

⚠️ Date limit: searches more than 60 days in advance are not supported.
Only departure dates within the next 60 days will return results.

✈️ What does Flight Award Scraper do?

This actor searches award flights and saves the results to an Apify dataset (JSON/CSV, API-ready). You can:

• Search by origin and destination (airport or city IATA codes)
• Limit to specific dates or date ranges (within the next 60 days)
• Filter by cabin class (economy, premium, business, first)
• Restrict to specific loyalty program issuers (e.g. Flying Blue, AAdvantage, MileagePlus)
• Sort results by preferred cabin
• Control output size with maxItems
• Get rich itineraries including connections, aircraft types, flight numbers, and segment-level cabins

Typical use cases:

• 🕵️ Detect award “sweet spots” for miles & points redemptions
• 📊 Build internal award search tools for agencies, OTAs, or mileage brokers
• 🧮 Compare mileage vs. cash prices in your own pricing pipeline
• 🗺️ Analyze routes, cabins, and carriers used by different loyalty programs

🚀 How to use

1. Add the actor to your Apify account.
2. Set your search filters: origins, destinations, startDate / endDate, cabin, issuers.
3. Optionally adjust sortBy and maxItems.
4. Run the actor.
5. Fetch results from the Dataset tab (JSON, CSV, Excel, or via API).

💡 At least one of origins or destinations must be provided.
You can leave the other empty to search “from anywhere” or “to anywhere”.

📝 Input parameters

Supply inputs as JSON. All fields are optional, but you must specify at least one of origins or destinations.

🔎 Date window: only departure dates within the next 60 days are supported.
If you set startDate / endDate beyond this window, you will not get results.

Parameter	Type / Options	Default	Description
maxItems	integer (>= 1)	100	Maximum number of items (award results) to save to the dataset.
sortBy	"", "economy", "premium", "business", "first"	""	Sort criteria for the search results. Leave empty for default ordering from the source; choose a cabin to prioritize that cabin.
origins	array<string> (airport or city IATA codes)	["JFK"]	Origin airports/cities (e.g. ["JFK", "LAX"]). Leave empty to search from any origin.
destinations	array<string> (airport or city IATA codes)	["LHR"]	Destination airports/cities (e.g. ["LHR", "CDG"]). Leave empty to search to any destination.
startDate	string YYYY-MM-DD		Start date of the search (must be within the next 60 days). Leave empty to search all supported dates.
endDate	string YYYY-MM-DD		End date of the search (must be within the next 60 days). Leave empty to search all supported dates.
cabin	"", "economy", "premium", "business", "first"	"" (Any)	Filter by cabin class. Empty means any cabin.
issuers	array<string>		Loyalty program issuers to query. Leave empty to search all issuers. See supported values below.

Supported issuers include:

"aeromexico", "aeroplan", "alaska", "american", "azul", "copa", "delta", "emirates", "ethiopian", "etihad", "eurobonus",
"finnair", "flyingblue", "jetblue", "lufthansa", "qantas", "qatar", "saudia", "singapore", "smiles", "turkish", "united", "velocity", "virginatlantic".

🔧 Examples

1) One-way route: JFK → LHR, all cabins, any issuer

{
  "maxItems": 50,
  "origins": ["JFK"],
  "destinations": ["LHR"],
  "startDate": "2025-01-05",
  "endDate": "2025-01-10",
  "cabin": "",
  "issuers": [],
  "sortBy": ""
}

2) Business-class focus with selected issuers

{
  "maxItems": 100,
  "origins": ["LAX"],
  "destinations": ["NRT", "HND"],
  "startDate": "2025-01-10",
  "endDate": "2025-01-20",
  "cabin": "business",
  "issuers": ["american", "alaska", "qantas"],
  "sortBy": "business"
}

3) Any origin → LHR in premium economy with Flying Blue

{
  "maxItems": 30,
  "origins": [],
  "destinations": ["LHR"],
  "cabin": "premium",
  "issuers": ["flyingblue"]
}

📊 Output

Each dataset item represents award availability for a route + date + issuer, including cabins and detailed itineraries.

Route-level fields:

• date – travel date
• origin, destination – IATA codes
• originName, destinationName – airport names
• issuer, issuerName – loyalty program used
• distance – route distance in miles
• coordinates.origin, coordinates.destination – lat/lon of airports

Cabin availability for the route:

• cabins[]:

  • name – "economy", "premium", "business", "first"
  • available – boolean
  • mileage – miles (or points) required
  • taxes – taxes & surcharges (often in minor currency units)
  • airlines[] – carriers operating the itinerary
  • direct – whether a non-stop option exists

Itinerary-level details:

• itineraries[]:

  • origin, destination, originName, destinationName

  • departure, arrival (ISO timestamps)

  • totalDuration, stops, connections[]

  • airlines[] – marketing/operating carriers

  • aircrafts[] – aircraft types (e.g. "Boeing 787-9")

  • flightNumbers[]

  • cabins[] – per-itinerary name, mileageCost, totalTaxes, remainingSeats

  • segments[] – per-segment:

    • flightNumber, distance, duration, fareClass
    • aircraftName, aircraftCode
    • origin, destination, names
    • departure, arrival
    • cabin – actual cabin booked on the segment

Example (shortened):

{
  "date": "2025-12-03",
  "origin": "JFK",
  "destination": "LHR",
  "issuer": "flyingblue",
  "issuerName": "Air France/KLM Flying Blue",
  "cabins": [
    {
      "name": "economy",
      "available": true,
      "mileage": 18750,
      "taxes": 13440,
      "airlines": [{ "code": "KL", "name": "KLM" }],
      "direct": false
    }
  ],
  "itineraries": [
    {
      "origin": "JFK",
      "destination": "LHR",
      "departure": "2025-12-03T17:45:00Z",
      "arrival": "2025-12-04T09:00:00Z",
      "stops": 1,
      "connections": ["AMS"],
      "aircrafts": ["Boeing 787-10", "Airbus A321neo"],
      "flightNumbers": ["KL642", "KL1003"],
      "cabins": [
        {
          "name": "economy",
          "mileageCost": 18750,
          "totalTaxes": 13440,
          "remainingSeats": 9
        }
      ]
    }
  ]
}

Use this data to:

• Power custom award search UIs
• Feed BI tools and warehouses
• Run mileage arbitrage and route-optimization analyses

✅ Best practices

• Keep maxItems reasonable to avoid unnecessary over-fetching.
• Use cabin and issuers filters to narrow results to your real use case.
• Respect the 60-day limit when setting startDate / endDate.
• Store results in a dedicated dataset and sync them regularly via the Apify API.
• Apify Residential proxies are recommended for stable and reliable scraping.

💳 Pricing

Apify’s Free plan includes monthly credits for small tests. For production award-search workloads or scheduled scans, consider the Personal or Business plans. See Apify Pricing for details.

📥 Integrations

• Pull results via Apify's REST API or official SDKs (Node.js, Python, etc.).
• Export as JSON, CSV, or Excel, or connect via Make/Zapier/webhooks.
• Schedule recurring runs to keep your award inventory and itineraries fresh.

🆘 Support

Need help, more issuers, or extra fields? Open an issue on the actor page or contact me at t.me/igolaizola.

Happy mileage hunting! 🛫💺

⚖️ Legal & Ethics

Award search pages and loyalty programs may be protected by Terms of Service, IP rights, and data-privacy laws. Use this actor responsibly:

• Review and comply with the terms of the websites and programs you query.
• Respect technical and rate limits; avoid disruptive traffic patterns.
• Do not collect or process personal data unless you have a lawful basis.
• Ensure your use complies with applicable laws and your organization’s policies.

📜 Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by any airline, alliance, or loyalty program. All trademarks and brand names belong to their respective owners.