# Google Flights & Hotels Scraper (`leorochasantos/google-flights-hotels-scraper`) Actor Search Google Flights and Google Hotels in one actor: flight prices, airlines, flight numbers, times and stops, plus hotel nightly prices, ratings and amenities — clean typed JSON at $0.0005 per result. - **URL**: https://apify.com/leorochasantos/google-flights-hotels-scraper.md - **Developed by:** [Leonardo Santos](https://apify.com/leorochasantos) (community) - **Categories:** Travel, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event + usage 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## apify-actors Monorepo for Hermes-built, monetized Apify actors. One actor per directory. Shared code lives in [`lib/`](./lib/): `lib/src/transport.ts` (retry/session/backoff engine), `lib/src/ppe.ts` (pay-per-event metering invariants), `lib/golden/` (the declarative golden-set engine + runner — same vocabulary and message strings as the foundry cron's `golden_generic.py`; `tools/diff-golden-engines/` proves the two engines agree and must be re-run whenever either changes). **yahoo-finance and rdap-domain-lookup build on lib/ today; google-trends and google-news still carry pre-lib copies** (migrate with their next planned deploy). **Deploying a lib/-based actor:** its Docker context is the repo root, and `apify push` both refuses parent contexts and drops nested `.actor/` dirs from uploads — so always push through the wrapper: `tools/push-actor.sh ` (log into the intended account first; verify with `npx -y -p apify-cli apify info`). | Actor | Status | Spec | Store listing | |---|---|---|---| | [`google-trends/`](./google-trends/) | Live + monetized (PPE `keyword-result`) | [spec](./google-trends/SPEC.md) | [README](./google-trends/README.md) | | [`google-news/`](./google-news/) | Live + monetized (PPE `article-result`) | [spec](./google-news/SPEC.md) | [README](./google-news/README.md) | | [`yahoo-finance/`](./yahoo-finance/) | Live + monetized (PPE `ticker-result`), launched 2026-07-16 | [spec](./yahoo-finance/SPEC.md) | [README](./yahoo-finance/README.md) | | [`rdap-domain-lookup/`](./rdap-domain-lookup/) | Live public + monetized (PPE `domain-result`), launched 2026-07-16 | [spec](./rdap-domain-lookup/SPEC.md) | [README](./rdap-domain-lookup/README.md) | | [`ads-transparency/`](./ads-transparency/) | Spec approved, build started; on hold pending proxy-economics gate | — (spec in `hermes:workspace/plans/2026-07-16-ads-transparency-actor-pilot.md`) | — (no listing yet) | ### Provenance Built under the pilot plan `hermes:workspace/plans/2026-07-03-google-trends-actor-pilot.md`, which is the successor to the Apify demand probe (`2026-07-03-apify-demand-probe.md`). The Google Trends actor is a deliberate single-actor pilot testing two theses: (1) a reliable Google Trends actor can win users in a niche whose official incumbent fails 1 in 4 runs, and (2) a Hermes cron can detect degradation and ship repairs faster than a human maintainer. ### Accounts - **Publish / monetize:** Apify account `leorochasantos` (token `APIFY_API_TOKEN_BACKUP` in Hermes `.env`). Financial/monetization actions are Leo-only. - **Dev / probe:** account `jarbaspsantosbr` (`APIFY_API_KEY`). Used for on-platform test runs so the publish account's free credit stays clean. Tokens live only in Hermes `.env`; never commit them. # Actor input Schema ## `flightQueries` (type: `array`): One flight search per object: {"origin": "JFK", "destination": "LAX", "departureDate": "2026-09-10", "returnDate": "2026-09-17"}. Origin/destination take airport codes or city names. Dates are YYYY-MM-DD or relative "+N" (N days from today). Omit returnDate for one-way pricing; with it, prices are round-trip totals for each outbound option. ## `hotelQueries` (type: `array`): One hotel search per object: {"location": "Austin", "checkIn": "2026-09-10", "checkOut": "2026-09-14"}. Location is a city, neighborhood, or landmark. Dates are optional (both or neither), YYYY-MM-DD or relative "+N" days from today. ## `currency` (type: `string`): 3-letter currency code for all prices (e.g. USD, EUR, BRL). ## `language` (type: `string`): Google interface language. Keep the default "en" unless you need localized airport/hotel names. ## `country` (type: `string`): Google country code affecting result localization. ## `maxItemsPerQuery` (type: `integer`): Cap on delivered itineraries/hotels per query (a Google page carries ~32 itineraries or ~20 hotels). Each delivered result is one charged event. ## `proxyConfiguration` (type: `object`): Proxy to use for outgoing requests. Default datacenter proxies work — no residential needed. ## Actor input object example ```json { "flightQueries": [ { "origin": "JFK", "destination": "LAX", "departureDate": "+30", "returnDate": "+37" } ], "hotelQueries": [ { "location": "Austin", "checkIn": "+30", "checkOut": "+33" } ], "currency": "USD", "language": "en", "country": "us", "maxItemsPerQuery": 50, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "flightQueries": [ { "origin": "JFK", "destination": "LAX", "departureDate": "+30", "returnDate": "+37" } ], "hotelQueries": [ { "location": "Austin", "checkIn": "+30", "checkOut": "+33" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("leorochasantos/google-flights-hotels-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 = { "flightQueries": [{ "origin": "JFK", "destination": "LAX", "departureDate": "+30", "returnDate": "+37", }], "hotelQueries": [{ "location": "Austin", "checkIn": "+30", "checkOut": "+33", }], } # Run the Actor and wait for it to finish run = client.actor("leorochasantos/google-flights-hotels-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 '{ "flightQueries": [ { "origin": "JFK", "destination": "LAX", "departureDate": "+30", "returnDate": "+37" } ], "hotelQueries": [ { "location": "Austin", "checkIn": "+30", "checkOut": "+33" } ] }' | apify call leorochasantos/google-flights-hotels-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leorochasantos/google-flights-hotels-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Flights & Hotels Scraper", "description": "Search Google Flights and Google Hotels in one actor: flight prices, airlines, flight numbers, times and stops, plus hotel nightly prices, ratings and amenities — clean typed JSON at $0.0005 per result.", "version": "0.1", "x-build-id": "1i12cy2wIQlr0d10j" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leorochasantos~google-flights-hotels-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leorochasantos-google-flights-hotels-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/leorochasantos~google-flights-hotels-scraper/runs": { "post": { "operationId": "runs-sync-leorochasantos-google-flights-hotels-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/leorochasantos~google-flights-hotels-scraper/run-sync": { "post": { "operationId": "run-sync-leorochasantos-google-flights-hotels-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": { "flightQueries": { "title": "Flight searches", "type": "array", "description": "One flight search per object: {\"origin\": \"JFK\", \"destination\": \"LAX\", \"departureDate\": \"2026-09-10\", \"returnDate\": \"2026-09-17\"}. Origin/destination take airport codes or city names. Dates are YYYY-MM-DD or relative \"+N\" (N days from today). Omit returnDate for one-way pricing; with it, prices are round-trip totals for each outbound option." }, "hotelQueries": { "title": "Hotel searches", "type": "array", "description": "One hotel search per object: {\"location\": \"Austin\", \"checkIn\": \"2026-09-10\", \"checkOut\": \"2026-09-14\"}. Location is a city, neighborhood, or landmark. Dates are optional (both or neither), YYYY-MM-DD or relative \"+N\" days from today." }, "currency": { "title": "Currency", "type": "string", "description": "3-letter currency code for all prices (e.g. USD, EUR, BRL).", "default": "USD" }, "language": { "title": "Language (hl)", "type": "string", "description": "Google interface language. Keep the default \"en\" unless you need localized airport/hotel names.", "default": "en" }, "country": { "title": "Country (gl)", "type": "string", "description": "Google country code affecting result localization.", "default": "us" }, "maxItemsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap on delivered itineraries/hotels per query (a Google page carries ~32 itineraries or ~20 hotels). Each delivered result is one charged event.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy to use for outgoing requests. Default datacenter proxies work — no residential needed.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```