# Google Flights Scraper (`searchapi/google-flights-scraper`) Actor A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Google data seamlessly, reliably, and at scale. - **URL**: https://apify.com/searchapi/google-flights-scraper.md - **Developed by:** [Search API](https://apify.com/searchapi) (community) - **Categories:** Automation, Developer tools, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 google flights scraper results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Google Flights Scraper ### What is this tool? Google Flights Scraper helps you collect flights data from Google (the world's most popular search engine). Just enter your travel details, and the tool will gather comprehensive flight options for your trip. ### What can you use it for? - Compare flight prices across airlines - Find the best deals on flights - Track flight prices over time - Plan travel and research routes ### What data do you get? Each result includes up to **56 fields**, organized into the following categories: **Identity** (4 fields): Type, Result Type, Position, Page **URLs** (4 fields): Booking URL, Link (alias), Booking Site URL, Search URL **Text** (3 fields): Itinerary Title, Origin Airport Name, Destination Airport Name **Pricing** (6 fields): Price, Price (numeric), Currency, Original Price, Discount, Currency Code **Location** (2 fields): Origin City, Destination City **Dates & Duration** (3 fields): Duration, Duration (minutes), Layover Durations **Search Context** (4 fields): Search Metadata, Query, Query (alias), Language **Other** (30 fields): Airline, Airline Code, Airline Logo, Airlines (multi-leg), Flight Number, Flight Numbers, Origin, Origin Airport Code, Destination, Destination Airport Code, Departure At, Departure At (raw), Arrival At, Arrival At (raw), Return Departure At, Return Arrival At, Stops, Stop Airports, Stop Cities, Cabin, Cabin Class, Travel Class, Seats Left, Booking Site, Emissions, Emissions (grams), Aircraft, Ad, Sponsored, Scraped At ### How to use it #### Step 1: Enter your search Enter your travel details: - **Departure airport**: Your starting airport code (e.g., JFK, LAX, LHR) - **Arrival airport**: Your destination airport code - **Departure date**: When you want to fly (YYYY-MM-DD format) #### Step 2: Set your preferences Adjust the options below to customize your search. #### Step 3: Run the tool Click the run button and wait for your results. The tool will gather all the data and save it in a clean, organized format. ### Input options | Option | What it means | Required | Default | |--------|---------------|----------|---------| | **Departure Airport** | Departure airport IATA code (e.g. JFK, LAX, ORD) | Yes | JFK | | **Arrival Airport** | Arrival airport IATA code (e.g. LAX, SFO, LHR) | Yes | LAX | | **Departure Date** | Departure date in YYYY-MM-DD format | Yes | 2026-03-15 | | **Return Date** | Return date in YYYY-MM-DD format (required for round-trip) | No | — | | **Trip Type** | Type of trip Options: one-way (One Way), round-trip (Round Trip). | No | one-way | | **Passengers** | Number of passengers | No | 1 | | **Cabin Class** | Cabin class preference Options: economy (Economy), premium_economy (Premium Economy), business (Business), first (First). | No | economy | | **Max Items** | Max flight results to scrape | No | 20 | ### Output Your results come in a clean, organized table with **two views**: #### Overview view Shows the most important fields at a glance: - **Position** - **Airline** - **Origin** - **Destination** - **Departure At** - **Arrival At** - **Duration** - **Stops** - **Price** - **Query** - **Scraped At** #### Full details view Shows all 56 fields in detail. See "What data do you get?" above for the complete list. ### Tips for best results ✅ **Be specific** with your search terms for more relevant results ✅ **Try different variations** of your search term to discover more results ✅ **Browse multiple pages** of results to get a wider variety ### Frequently asked questions **Why use Google?** Google is the world's most popular search engine, handling over 8 billion searches per day. It has the largest index of web pages and provides the most comprehensive search results. **How do I get the results?** Your results are saved in your Apify dashboard. You can download them in various formats (JSON, CSV, Excel) or access them via the API. **Can I run it on a schedule?** Yes! Apify supports scheduled runs. You can set up the tool to run automatically at any interval (hourly, daily, weekly, etc.) from your dashboard. **What if I get fewer results than I asked for?** This can happen if the search engine doesn't have enough matching results for your search, or if some results are blocked. Try different keywords or relax your filters. **Need more help?** If you have questions or run into issues, our support team is ready to help. Just reach out through the Apify platform and we'll get back to you quickly. # Actor input Schema ## `departure` (type: `string`): Departure airport IATA code (e.g. JFK, LAX, ORD) ## `arrival` (type: `string`): Arrival airport IATA code (e.g. LAX, SFO, LHR) ## `departureDate` (type: `string`): Departure date in YYYY-MM-DD format ## `returnDate` (type: `string`): Return date in YYYY-MM-DD format (required for round-trip) ## `tripType` (type: `string`): Type of trip ## `passengers` (type: `integer`): Number of passengers ## `cabinClass` (type: `string`): Cabin class preference ## `maxItems` (type: `integer`): Maximum number of flight results to scrape ## `proxyConfiguration` (type: `object`): Proxy configuration for the scraper ## Actor input object example ```json { "departure": "JFK", "arrival": "LAX", "departureDate": "2026-03-15", "tripType": "one-way", "passengers": 1, "cabinClass": "economy", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # 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 = { "departure": "JFK", "arrival": "LAX", "departureDate": "2026-03-15", "tripType": "one-way", "passengers": 1, "cabinClass": "economy", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("searchapi/google-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 = { "departure": "JFK", "arrival": "LAX", "departureDate": "2026-03-15", "tripType": "one-way", "passengers": 1, "cabinClass": "economy", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("searchapi/google-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 '{ "departure": "JFK", "arrival": "LAX", "departureDate": "2026-03-15", "tripType": "one-way", "passengers": 1, "cabinClass": "economy", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call searchapi/google-flights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=searchapi/google-flights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Flights Scraper", "description": "A robust, high-performance utility designed for developer automation, data integration, and AI training. Features built-in captcha bypass, headful/headless browser execution, and proxy support to scrape Google data seamlessly, reliably, and at scale.", "version": "2.5", "x-build-id": "vnKLGxvLCrwXCa4ku" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/searchapi~google-flights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-searchapi-google-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/searchapi~google-flights-scraper/runs": { "post": { "operationId": "runs-sync-searchapi-google-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/searchapi~google-flights-scraper/run-sync": { "post": { "operationId": "run-sync-searchapi-google-flights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "departure", "arrival", "departureDate" ], "properties": { "departure": { "title": "Departure Airport", "type": "string", "description": "Departure airport IATA code (e.g. JFK, LAX, ORD)", "default": "JFK" }, "arrival": { "title": "Arrival Airport", "type": "string", "description": "Arrival airport IATA code (e.g. LAX, SFO, LHR)", "default": "LAX" }, "departureDate": { "title": "Departure Date", "type": "string", "description": "Departure date in YYYY-MM-DD format", "default": "2026-03-15" }, "returnDate": { "title": "Return Date", "type": "string", "description": "Return date in YYYY-MM-DD format (required for round-trip)" }, "tripType": { "title": "Trip Type", "enum": [ "one-way", "round-trip" ], "type": "string", "description": "Type of trip", "default": "one-way" }, "passengers": { "title": "Passengers", "minimum": 1, "maximum": 9, "type": "integer", "description": "Number of passengers", "default": 1 }, "cabinClass": { "title": "Cabin Class", "enum": [ "economy", "premium_economy", "business", "first" ], "type": "string", "description": "Cabin class preference", "default": "economy" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of flight results to scrape", "default": 20 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for the scraper", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```