Flightpoints Award Flights Scraper
Pricing
from $0.01 / 1,000 award flight itineraries
Flightpoints Award Flights Scraper
✈️ Scrape Flightpoints award-seat availability with miles, taxes, cabins, seats, programs, segments, and booking URLs.
Flightpoints Award Flights Scraper
Pricing
from $0.01 / 1,000 award flight itineraries
✈️ Scrape Flightpoints award-seat availability with miles, taxes, cabins, seats, programs, segments, and booking URLs.
You can access the Flightpoints Award Flights Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "QlgPZP3WZthhh6mE2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~flightpoints-award-flights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-flightpoints-award-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/automation-lab~flightpoints-award-flights-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-flightpoints-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/automation-lab~flightpoints-award-flights-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-flightpoints-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", "required": [ "origin", "destination", "departureDate" ], "properties": { "origin": { "title": "Origin airport", "minLength": 3, "maxLength": 3, "type": "string", "description": "Three-letter IATA origin airport code, for example JFK, LAX, SFO, or ORD." }, "destination": { "title": "Destination airport", "minLength": 3, "maxLength": 3, "type": "string", "description": "Three-letter IATA destination airport code, for example LHR, CDG, NRT, or HND." }, "departureDate": { "title": "Departure date", "type": "string", "description": "Travel date to search in YYYY-MM-DD format." }, "maxResults": { "title": "Maximum itineraries", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of itinerary-level award-flight results to save.", "default": 20 }, "deltaDays": { "title": "Date flexibility (+/- days)", "minimum": 0, "maximum": 14, "type": "integer", "description": "Ask Flightpoints to search nearby dates. Keep this low for faster and cheaper runs.", "default": 0 }, "cabinClass": { "title": "Cabin filter", "enum": [ "Any", "Economy", "Premium Economy", "Business", "First" ], "type": "string", "description": "Filter returned itineraries to a cabin class where supported by Flightpoints.", "default": "Any" }, "minimumSeats": { "title": "Minimum seats", "minimum": 1, "maximum": 10, "type": "integer", "description": "Minimum available award seats. Use 1 for broad monitoring; increase for family/group trips.", "default": 1 }, "onlyDirectFlights": { "title": "Direct flights only", "type": "boolean", "description": "Return only non-stop itineraries when Flightpoints has that filter available.", "default": false }, "maxTaxesUsd": { "title": "Maximum taxes / fees", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Optional maximum cash taxes/fees filter in USD-like source units. Leave empty for no fee cap." }, "programs": { "title": "Loyalty programs", "type": "array", "description": "Optional loyalty program codes to include, for example AA, AC, BA, UA, VS. Leave empty for all programs.", "items": { "type": "string" } }, "includeSegments": { "title": "Include segment details", "type": "boolean", "description": "Include per-segment connection details in each output item.", "default": true }, "liveSearch": { "title": "Request live search", "type": "boolean", "description": "Ask Flightpoints for a live refresh instead of cached availability when available. Cached mode is faster and recommended for monitoring.", "default": false }, "pollTimeoutSecs": { "title": "Search polling timeout", "minimum": 10, "maximum": 300, "type": "integer", "description": "Maximum time to wait for Flightpoints to finish generating results.", "default": 20 } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Flightpoints Award Flights Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: