# Flightpoints.com & Roame.travel Award Flight Scraper (`memo23/award-flights-scraper`) Actor 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. - **URL**: https://apify.com/memo23/award-flights-scraper.md - **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community) - **Categories:** Travel, AI, Agents - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 award itineraries This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 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](https://raw.githubusercontent.com/muhamed-didovic/muhamed-didovic.github.io/main/assets/how-it-works-awardflights.png) ### 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 | Input | Example | |---|---| | **Single route** | `origin: JFK`, `destination: LHR`, `departureDate: 2026-07-15` | | **Bulk routes** | `routes: [{ "origin":"JFK","destination":"LHR","departureDate":"2026-07-15" }, …]` | | **Sources** | `["flightpoints","roame"]` (default both) | | **Cabin** | `searchClass: ECON \| PREM \| BUS \| FIRST` | | **Filters** | `daysAround` (± 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 | Field | Type | Description | |---|---|---| | `origin` / `destination` | string | Airport IATA codes (single-route mode). | | `departureDate` | string | `YYYY-MM-DD`, within ~60 days. | | `routes` | array | Bulk list of `{origin,destination,departureDate}`; overrides single route. | | `sources` | array | `flightpoints` and/or `roame`. Default both. | | `searchClass` | string | `ECON` / `PREM` / `BUS` / `FIRST` (Roame). | | `daysAround` | integer | Widen by ± N days. | | `directOnly` | boolean | Flightpoints: non-stop only. | | `maxItems` | integer | Cap on itineraries. | ### Output sample ```json { "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 | Field | Description | |---|---| | `source` | `flightpoints` or `roame` | | `origin` / `destination` / `departureDate` | The searched route + date | | `program` / `programName` | Loyalty program (issuer code + name) | | `airline` / `alliance` | Operating airline(s) + alliance | | `cabins{economy\|premium\|business\|first}` | Per-cabin `miles`, `taxes`, `seats`, `stops`, `airlines` | | `durationMinutes` | Trip duration (Roame) | | `roameScore` | Roame's value score (Roame only) | | `lastSeen` / `scrapedAt` | Source 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:** - [Google Flights Scraper](https://apify.com/memo23/google-flights-scraper) — cash fares, itineraries, booking options & multi-city - [Skyscanner Flight Scraper](https://apify.com/memo23/skyscanner-scraper) — 180+ fields per itinerary, Best/Cheapest/Fastest tags, OTA aggregation - [Ryanair Scraper](https://apify.com/memo23/ryanair-scraper) — budget fares & the cheapest routes the majors miss For cash fares, see the Google Flights & Skyscanner scrapers above. See [140+ other scrapers](https://apify.com/memo23) — 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 award flight scraper, award availability scraper, miles and points scraper, Flightpoints scraper, Roame scraper, award seat search API, frequent flyer award scraper, points flights data, award travel API, aeroplan flying blue avios availability, business class award scraper, miles redemption scraper, award search tool data, points dashboard data. # Actor input Schema ## `origin` (type: `string`): Origin airport IATA code, e.g. JFK. Used with Destination + Departure date for a single-route search. ## `destination` (type: `string`): Destination airport IATA code, e.g. LHR. ## `departureDate` (type: `string`): Departure date as YYYY-MM-DD (within ~60 days forward). Leave blank to default to ~30 days out. ## `routes` (type: `array`): Optional list of routes to search in one run (overrides the single-route fields). Each item: { "origin": "JFK", "destination": "LHR", "departureDate": "2026-07-04" }. ## `sources` (type: `array`): Which award-search sources to query. Default: both. ## `searchClass` (type: `string`): Cabin class to search on Roame. Flightpoints returns all cabins regardless. ## `daysAround` (type: `integer`): Widen the search by +/- this many days around the departure date. ## `directOnly` (type: `boolean`): Flightpoints: return non-stop itineraries only. ## `maxItems` (type: `integer`): Maximum award itineraries to scrape across all routes and sources. ## `maxConcurrency` (type: `integer`): Parallel route × source searches. ## `country` (type: `string`): Optional residential proxy exit country (e.g. 'us'). ## Actor input object example ```json { "origin": "JFK", "destination": "LHR", "sources": [ "flightpoints", "roame" ], "searchClass": "ECON", "daysAround": 0, "directOnly": false, "maxItems": 100, "maxConcurrency": 4 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "origin": "JFK", "destination": "LHR" }; // Run the Actor and wait for it to finish const run = await client.actor("memo23/award-flights-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "origin": "JFK", "destination": "LHR", } # Run the Actor and wait for it to finish run = client.actor("memo23/award-flights-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "origin": "JFK", "destination": "LHR" }' | apify call memo23/award-flights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=memo23/award-flights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flightpoints.com & Roame.travel Award Flight Scraper", "description": "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.", "version": "0.0", "x-build-id": "33KnrWysK1hFgEBGH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~award-flights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-award-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/memo23~award-flights-scraper/runs": { "post": { "operationId": "runs-sync-memo23-award-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/memo23~award-flights-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-award-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "origin": { "title": "Origin (IATA)", "type": "string", "description": "Origin airport IATA code, e.g. JFK. Used with Destination + Departure date for a single-route search." }, "destination": { "title": "Destination (IATA)", "type": "string", "description": "Destination airport IATA code, e.g. LHR." }, "departureDate": { "title": "Departure date", "type": "string", "description": "Departure date as YYYY-MM-DD (within ~60 days forward). Leave blank to default to ~30 days out." }, "routes": { "title": "Bulk routes", "type": "array", "description": "Optional list of routes to search in one run (overrides the single-route fields). Each item: { \"origin\": \"JFK\", \"destination\": \"LHR\", \"departureDate\": \"2026-07-04\" }." }, "sources": { "title": "Sources", "type": "array", "description": "Which award-search sources to query. Default: both.", "items": { "type": "string", "enum": [ "flightpoints", "roame" ] }, "default": [ "flightpoints", "roame" ] }, "searchClass": { "title": "Cabin", "enum": [ "ECON", "PREM", "BUS", "FIRST" ], "type": "string", "description": "Cabin class to search on Roame. Flightpoints returns all cabins regardless.", "default": "ECON" }, "daysAround": { "title": "± days window", "minimum": 0, "maximum": 7, "type": "integer", "description": "Widen the search by +/- this many days around the departure date.", "default": 0 }, "directOnly": { "title": "Direct flights only", "type": "boolean", "description": "Flightpoints: return non-stop itineraries only.", "default": false }, "maxItems": { "title": "Max itineraries", "minimum": 1, "type": "integer", "description": "Maximum award itineraries to scrape across all routes and sources.", "default": 100 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 12, "type": "integer", "description": "Parallel route × source searches.", "default": 4 }, "country": { "title": "Exit country (ISO-2)", "type": "string", "description": "Optional residential proxy exit country (e.g. 'us')." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```