Airbnb Scraper Pro
Pricing
Pay per usage
Pricing
Pay per usage
Rating
0.0
(0)
Developer
AutomateLab
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
23 days ago
Last modified
Categories
Share
You can access the Airbnb Scraper Pro 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": "0.0", "x-build-id": "s23yUwoGIOZFhIy3V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red.cars~airbnb-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red.cars-airbnb-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red.cars~airbnb-scraper-pro/runs": { "post": { "operationId": "runs-sync-red.cars-airbnb-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red.cars~airbnb-scraper-pro/run-sync": { "post": { "operationId": "run-sync-red.cars-airbnb-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "mode": { "title": "Extraction Mode", "enum": [ "search", "details" ], "type": "string", "description": "Choose what type of data to extract", "default": "search" }, "location": { "title": "Search Location", "type": "string", "description": "Enter the city, neighborhood, or address you want to analyze for investment opportunities", "default": "New York, NY" }, "listingIds": { "title": "Property IDs (Details Mode)", "type": "array", "description": "List of Airbnb property IDs for detailed analysis (only used in Details mode)", "items": { "type": "string" }, "default": [ "50633275", "45678912" ] }, "checkin": { "title": "Check-in Date (Optional)", "type": "string", "description": "Format: YYYY-MM-DD. Leave empty for general market analysis", "default": "" }, "checkout": { "title": "Check-out Date (Optional)", "type": "string", "description": "Format: YYYY-MM-DD. Leave empty for general market analysis", "default": "" }, "adults": { "title": "Number of Adults", "minimum": 1, "maximum": 16, "type": "integer", "description": "Number of adult guests for pricing calculations", "default": 2 }, "children": { "title": "Number of Children", "minimum": 0, "maximum": 16, "type": "integer", "description": "Number of children for family-friendly property analysis", "default": 0 }, "minPrice": { "title": "Minimum Price Per Night", "minimum": 0, "type": "integer", "description": "Filter properties by minimum nightly rate (USD)" }, "maxPrice": { "title": "Maximum Price Per Night", "minimum": 0, "type": "integer", "description": "Filter properties by maximum nightly rate (USD)" }, "maxResults": { "title": "Number of Properties to Analyze", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many properties to collect for your market research (large-scale market analysis now supported)", "default": 5 }, "enableBusinessIntelligence": { "title": "Investment Analysis", "type": "boolean", "description": "Add property investment scoring, market analysis, and business insights to help evaluate opportunities", "default": false }, "proxyType": { "title": "Proxy Reliability Level", "enum": [ "DATACENTER", "RESIDENTIAL" ], "type": "string", "description": "Choose your preferred balance of cost vs reliability. Standard (Datacenter) is faster; Premium (Residential) is most reliable for high-security targets.", "default": "RESIDENTIAL" }, "debugMode": { "title": "Debug Mode (Self-Test)", "type": "boolean", "description": "Enable minimal extraction for health checks and testing. Guarantees success within 300s.", "default": false }, "outputFormat": { "title": "Export Format", "enum": [ "json", "csv", "markdown", "excel", "salesforce", "hubspot" ], "type": "string", "description": "Choose how you want to receive your property data. Use 'markdown' for token-efficient LLM-ready real estate cards.", "default": "json" } } }, "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 Airbnb Scraper Pro 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: