# Flights Scraper (`moving_beacon-owner1/flights-scraper`) Actor Searches flight routes with customizable travel options, including one-way or round-trip itineraries, airline filters, seat class, currency, and stop limits. Returns structured flight data with price, airlines, departure and arrival details, duration, stops, and route information. - **URL**: https://apify.com/moving\_beacon-owner1/flights-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Travel, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 ## Flights Scraper — Apify Actor Flight search ### Input | field | meaning | |---|---| | `routes` | `LHR-JFK 2026-09-10` (one-way) or `+ return date` (round trip) | | `airlines` | optional IATA filter (AA/DL/UA/AS); empty = all | | `adults`, `seat`, `currency`, `maxStops`, `maxPerRoute` | search options | | `proxyConfiguration` | | ### Output (per flight) `query, price, currency, airlines, stops, from, to, depart, arrive, duration_min` # Actor input Schema ## `routes` (type: `array`): One per line: 'LHR-JFK 2026-09-10' (one-way) or 'LHR-JFK 2026-09-10 2026-09-17' (round trip). '>' also works as the route separator. ## `merge` (type: `boolean`): Merge the all-airlines search (Kayak/Expedia/Priceline) with per-airline searches into one deduped set tagged by source. Turn off to use the single airline filter below. ## `sites` (type: `array`): Each runs a full all-airlines Google Flights pass under that label (default kayak, expedia, priceline). Multiple passes catch Google's ranking variance; results merge with provenance in `sources`. ## `mergeAirlines` (type: `array`): IATA codes queried individually and merged with the aggregator results (default AA, DL, UA, AS, B6). Used when Merge is on. ## `airlines` (type: `array`): Optional IATA codes applied to all routes (e.g. AA, DL, UA, AS). Leave empty for all airlines. Note: WN/Southwest is not on Google Flights. ## `includeSouthwestNote` (type: `boolean`): Add an explanatory row noting Southwest fares aren't on any aggregator. ## `adults` (type: `integer`): Number of adult passengers. ## `seat` (type: `string`): Cabin class for all searches. ## `currency` (type: `string`): ISO currency code for prices (e.g. USD, EUR, GBP). ## `maxStops` (type: `integer`): Maximum stops per itinerary. Leave empty for any; 0 = non-stop only. ## `maxPerRoute` (type: `integer`): Cap on flights returned per route (0/empty = all that Google Flights returns). ## `maxItems` (type: `integer`): Hard cap on total flights pushed to the dataset across all routes. ## `proxyConfiguration` (type: `object`): Apify Proxy. Google Flights blocks some datacenter IPs; a proxy (residential ideal) improves reliability. ## Actor input object example ```json { "routes": [ "LHR-JFK 2026-09-10" ], "merge": true, "sites": [ "kayak", "expedia", "priceline" ], "mergeAirlines": [ "AA", "DL", "UA", "AS", "B6" ], "includeSouthwestNote": true, "adults": 1, "seat": "economy", "currency": "USD", "maxItems": 5000, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "routes": [ "LHR-JFK 2026-09-10" ], "sites": [ "kayak", "expedia", "priceline" ], "mergeAirlines": [ "AA", "DL", "UA", "AS", "B6" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/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 = { "routes": ["LHR-JFK 2026-09-10"], "sites": [ "kayak", "expedia", "priceline", ], "mergeAirlines": [ "AA", "DL", "UA", "AS", "B6", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/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 '{ "routes": [ "LHR-JFK 2026-09-10" ], "sites": [ "kayak", "expedia", "priceline" ], "mergeAirlines": [ "AA", "DL", "UA", "AS", "B6" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call moving_beacon-owner1/flights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/flights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flights Scraper", "description": "Searches flight routes with customizable travel options, including one-way or round-trip itineraries, airline filters, seat class, currency, and stop limits. Returns structured flight data with price, airlines, departure and arrival details, duration, stops, and route information.", "version": "0.0", "x-build-id": "tjjILtjjqOCPtUTjY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~flights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~flights-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~flights-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "routes": { "title": "Routes", "type": "array", "description": "One per line: 'LHR-JFK 2026-09-10' (one-way) or 'LHR-JFK 2026-09-10 2026-09-17' (round trip). '>' also works as the route separator.", "items": { "type": "string" } }, "merge": { "title": "Merge all sites", "type": "boolean", "description": "Merge the all-airlines search (Kayak/Expedia/Priceline) with per-airline searches into one deduped set tagged by source. Turn off to use the single airline filter below.", "default": true }, "sites": { "title": "Aggregator sites", "type": "array", "description": "Each runs a full all-airlines Google Flights pass under that label (default kayak, expedia, priceline). Multiple passes catch Google's ranking variance; results merge with provenance in `sources`.", "items": { "type": "string" } }, "mergeAirlines": { "title": "Airlines to merge", "type": "array", "description": "IATA codes queried individually and merged with the aggregator results (default AA, DL, UA, AS, B6). Used when Merge is on.", "items": { "type": "string" } }, "airlines": { "title": "Airline filter", "type": "array", "description": "Optional IATA codes applied to all routes (e.g. AA, DL, UA, AS). Leave empty for all airlines. Note: WN/Southwest is not on Google Flights.", "items": { "type": "string" } }, "includeSouthwestNote": { "title": "Include Southwest note", "type": "boolean", "description": "Add an explanatory row noting Southwest fares aren't on any aggregator.", "default": true }, "adults": { "title": "Adults", "minimum": 1, "type": "integer", "description": "Number of adult passengers.", "default": 1 }, "seat": { "title": "Cabin", "enum": [ "economy", "premium-economy", "business", "first" ], "type": "string", "description": "Cabin class for all searches.", "default": "economy" }, "currency": { "title": "Currency", "type": "string", "description": "ISO currency code for prices (e.g. USD, EUR, GBP).", "default": "USD" }, "maxStops": { "title": "Max stops", "minimum": 0, "type": "integer", "description": "Maximum stops per itinerary. Leave empty for any; 0 = non-stop only." }, "maxPerRoute": { "title": "Max flights per route", "minimum": 0, "type": "integer", "description": "Cap on flights returned per route (0/empty = all that Google Flights returns)." }, "maxItems": { "title": "Max total records", "minimum": 1, "type": "integer", "description": "Hard cap on total flights pushed to the dataset across all routes.", "default": 5000 }, "proxyConfiguration": { "title": "Proxy (recommended)", "type": "object", "description": "Apify Proxy. Google Flights blocks some datacenter IPs; a proxy (residential ideal) improves reliability." } } }, "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 } } } } } } } } } } ```