# Skyscanner Places & Explore (`axlymxp/skyscanner-places-api`) Actor Resolve Skyscanner PlaceIds and IATA codes to canonical travel entities (entity id, type, country). Reliable, token-only, no proxy. - **URL**: https://apify.com/axlymxp/skyscanner-places-api.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 dataset items 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 ## Skyscanner Places & Explore Resolve any **Skyscanner PlaceId or IATA code** to its canonical **travel entity** — numeric entity id, entity type (City / Airport / Country), country code and localized names. Clean, reliable travel geocoding with **zero setup, no proxy, no anti-bot handling**. ### How it works You supply exact IATA codes or Skyscanner PlaceIds (`JFK`, `LOND`, `NYCA`, `LHR`). The actor resolves each one through Skyscanner's entity service using only an anonymous token. This path is **not** anti-bot gated, so it runs fast and consistently from any IP — no proxy required. IATA is a global standard, so codes are easy to source. ### Who it's for - **Travel app & flight-tool developers** needing Skyscanner-compatible place codes. - **Data teams** building airport/city reference datasets with coordinates. - **Anyone integrating Skyscanner** who needs to turn user text into PlaceIds/entity ids. ### What you get (output fields) | Field | Description | | -------------------- | ---------------------------------------------- | | `query` | The input PlaceId/IATA this row resolves | | `placeId` | Skyscanner PlaceId / IATA code (e.g. `LOND`) | | `name` | Canonical localized place name | | `entityId` | Numeric canonical travel entity id | | `entityType` | Entity type (City / Airport / Country) | | `entityCountryCode` | ISO country code | ### Use cases - **Reference data** — build an airport/city entity table. - **Pipeline prep** — turn IATA codes into the entity ids other Skyscanner tools expect. - **Validation** — confirm a PlaceId/IATA resolves to the expected entity. ### Input | Field | Type | Required | Description | | -------------------------------- | ------ | -------- | ----------------------------------------------------------------- | | `placeIds` | array | yes | Skyscanner PlaceIds or IATA codes to resolve | | `includeExplore` | bool | no | Save the Explore inspiration feed to the KV store (default false) | | `market` / `locale` / `currency` | string | no | Localization (default US / en-US / USD) | #### Example input ```json { "placeIds": ["LOND", "JFK", "NYCA", "PARI", "LHR"] } ```` #### Example output row ```json { "query": "LOND", "placeId": "LOND", "name": "London", "entityId": "27544008", "entityType": "City", "entityCountryCode": "GB" } ``` ### Scheduling & webhooks Run on a schedule to keep a place/airport reference dataset fresh, or trigger via webhook from your own systems. ### Reliability This actor uses Skyscanner's public place and entity services with an anonymous token — no proxy or anti-bot handling required, so runs are fast and consistent. ### FAQ **Does it return flight prices?** No — this actor resolves places to entities. For live fares, use a dedicated flight-price scraper (requires an unblocker). **Does it accept free-text city names?** No — supply exact IATA codes or Skyscanner PlaceIds. IATA codes are a global standard and easy to look up. **Is scraping legal?** You are responsible for complying with Skyscanner's terms and applicable law. Only publicly available place data is accessed. # Actor input Schema ## `placeIds` (type: `array`): Skyscanner PlaceIds or IATA codes to resolve to canonical travel entities (e.g. "LOND", "JFK", "NYCA", "LHR"). Resolved directly via the travel-api — token-only, no proxy, no anti-bot. Reliable from any IP. ## `includeExplore` (type: `boolean`): Also save the Skyscanner "Explore" inspiration feed to the key-value store (EXPLORE\_FEED). ## `market` (type: `string`): Skyscanner market (2-letter). ## `locale` (type: `string`): Language-region locale. ## `currency` (type: `string`): 3-letter currency code. ## Actor input object example ```json { "placeIds": [ "LOND", "JFK", "NYCA" ], "includeExplore": false, "market": "US", "locale": "en-US", "currency": "USD" } ``` # 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 = { "placeIds": [ "LOND", "JFK", "NYCA", "PARI", "LHR" ] }; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/skyscanner-places-api").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 = { "placeIds": [ "LOND", "JFK", "NYCA", "PARI", "LHR", ] } # Run the Actor and wait for it to finish run = client.actor("axlymxp/skyscanner-places-api").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 '{ "placeIds": [ "LOND", "JFK", "NYCA", "PARI", "LHR" ] }' | apify call axlymxp/skyscanner-places-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/skyscanner-places-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Skyscanner Places & Explore", "description": "Resolve Skyscanner PlaceIds and IATA codes to canonical travel entities (entity id, type, country). Reliable, token-only, no proxy.", "version": "0.1", "x-build-id": "TVv2ptup9nkm17QYc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~skyscanner-places-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-skyscanner-places-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~skyscanner-places-api/runs": { "post": { "operationId": "runs-sync-axlymxp-skyscanner-places-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~skyscanner-places-api/run-sync": { "post": { "operationId": "run-sync-axlymxp-skyscanner-places-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "placeIds" ], "properties": { "placeIds": { "title": "Place IDs / IATA codes", "type": "array", "description": "Skyscanner PlaceIds or IATA codes to resolve to canonical travel entities (e.g. \"LOND\", \"JFK\", \"NYCA\", \"LHR\"). Resolved directly via the travel-api — token-only, no proxy, no anti-bot. Reliable from any IP.", "items": { "type": "string" } }, "includeExplore": { "title": "Include Explore feed", "type": "boolean", "description": "Also save the Skyscanner \"Explore\" inspiration feed to the key-value store (EXPLORE_FEED).", "default": false }, "market": { "title": "Market", "type": "string", "description": "Skyscanner market (2-letter).", "default": "US" }, "locale": { "title": "Locale", "type": "string", "description": "Language-region locale.", "default": "en-US" }, "currency": { "title": "Currency", "type": "string", "description": "3-letter currency code.", "default": "USD" } } }, "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 } } } } } } } } } } ```