Flightpoints.com & Roame.travel Award Flight Scraper avatar

Flightpoints.com & Roame.travel Award Flight Scraper

Pricing

from $3.00 / 1,000 award itineraries

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Flightpoints.com & Roame.travel Award Flight Scraper

Flightpoints.com & Roame.travel Award Flight Scraper

Scrape award (miles/points) flight availability from Flightpoints and Roame in one actor — miles, taxes, seats, cabins, stops, loyalty programs and airlines for any route and date.

Pricing

from $3.00 / 1,000 award itineraries

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0.0

(0)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

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0

Bookmarked

3

Total users

2

Monthly active users

2 days ago

Last modified

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Award Flights Scraper — Flightpoints + Roame (Miles & Points)

Scrape award flight availability — flights you can book with airline miles and credit-card points — from Flightpoints and Roame in a single actor. Give any route and date and get the miles, taxes, available seats, cabins, stops, loyalty program and operating airline for every itinerary, from both sources, in one clean schema.

How it works

Why use this scraper

  • Two sources, one schema. Flightpoints + Roame normalised into identical rows — more coverage than any single-source award scraper, no glue code on your side.
  • Per-cabin detail. Economy, premium, business and first — each with its own miles, taxes, seat count and stops.
  • 25+ loyalty programs. Aeroplan, Flying Blue, AAdvantage, Alaska, Avios, LifeMiles, Smiles and more — across Star Alliance, oneworld and SkyTeam.
  • One route or bulk. Search a single origin/destination/date, or pass a list of routes in one run.
  • Pure HTTP, pay per result. Fast, no headless browser, and you only pay for the itineraries you actually get.

Overview

The Award Flights Scraper queries the live award-search engines behind Flightpoints and Roame, polls each until the search completes, and returns one normalised row per award itinerary. Built for points-and-miles tools, availability monitors and travel-hacking dashboards. Export as JSON, CSV or Excel.

Supported inputs

InputExample
Single routeorigin: JFK, destination: LHR, departureDate: 2026-07-15
Bulk routesroutes: [{ "origin":"JFK","destination":"LHR","departureDate":"2026-07-15" }, …]
Sources["flightpoints","roame"] (default both)
CabinsearchClass: ECON | PREM | BUS | FIRST
FiltersdaysAround (± date window), directOnly

Dates must be within ~60 days forward (the award engines' limit).

Use cases

  • Points & miles tools — power an award-search feature with multi-source availability.
  • Availability monitoring — track when award seats open on a route/cabin across programs.
  • Sweet-spot research — find the cheapest miles + lowest taxes for a route across 25+ programs.
  • Alerts & dashboards — feed scheduled runs into price/availability alerts.
  • Comparison — see where Flightpoints and Roame agree or differ on the same route.

How it works

  1. You provide a route (or bulk routes) + date, plus which sources and cabin.
  2. The actor starts a search on each source (/search/key/ for Flightpoints, a GraphQL mutation for Roame) and polls until it completes.
  3. Each result is normalised into the unified award-itinerary schema.
  4. Rows stream to the dataset — one per itinerary, ready to export.

Input configuration

FieldTypeDescription
origin / destinationstringAirport IATA codes (single-route mode).
departureDatestringYYYY-MM-DD, within ~60 days.
routesarrayBulk list of {origin,destination,departureDate}; overrides single route.
sourcesarrayflightpoints and/or roame. Default both.
searchClassstringECON / PREM / BUS / FIRST (Roame).
daysAroundintegerWiden by ± N days.
directOnlybooleanFlightpoints: non-stop only.
maxItemsintegerCap on itineraries.

Output sample

{
"source": "flightpoints",
"origin": "JFK",
"destination": "LHR",
"departureDate": "2026-07-15",
"program": "AA",
"programName": "AAdvantage",
"airline": "American Airlines",
"alliance": "oneworld",
"durationMinutes": null,
"cabins": {
"economy": { "miles": 30000, "taxes": 5.6, "seats": 1, "stops": 0 },
"business": { "miles": 57500, "taxes": 19.7, "seats": 1, "stops": 0 },
"first": { "miles": 85000, "taxes": 1548.9, "seats": 1, "stops": 0 }
},
"lastSeen": "2026-06-24T08:33:15+00:00",
"scrapedAt": "2026-06-24T09:33:55.810Z"
}

Roame rows are per-fare (one cabin each) with the same shape, plus a roameScore.

Key output fields

FieldDescription
sourceflightpoints or roame
origin / destination / departureDateThe searched route + date
program / programNameLoyalty program (issuer code + name)
airline / allianceOperating airline(s) + alliance
cabins{economy|premium|business|first}Per-cabin miles, taxes, seats, stops, airlines
durationMinutesTrip duration (Roame)
roameScoreRoame's value score (Roame only)
lastSeen / scrapedAtSource freshness + scrape time

FAQ

Which sources? Flightpoints and Roame — both free, public award-search engines — in one actor with one schema.

Do I need a paid account? No. Both sources are queried anonymously.

How fresh is availability? Live — each run starts a real search and polls until complete. Award seats change fast, so a row reflects availability at scrape time.

Why are some cabins missing? A cabin only appears when award space exists for it on that itinerary.

How far out can I search? ~60 days forward, the limit of the underlying engines.

Can I scrape many routes at once? Yes — pass a routes array; each route is searched on each selected source.

Support

Found a bug or need another source/field? Open an issue on the actor's Issues tab in Apify Console — issues are monitored and addressed quickly.

Additional services

Need an extra award source, a scheduled monitor, alerting, or the data pushed to your database/webhook? Reach out via the Issues tab.

Explore more scrapers

✈️ More flight scrapers:

For cash fares, see the Google Flights & Skyscanner scrapers above. See 140+ other scrapers — hotel, flight and travel-data across major platforms.

⚠️ Disclaimer

This actor queries publicly available award-search results and does not access any account behind a login. Award availability changes constantly and a scraped row does not guarantee bookability. You are responsible for using the data in compliance with each source's terms and applicable laws. Use responsibly and lawfully.

SEO keywords

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