# Airbnb Scraper Pro (`red.cars/airbnb-scraper-pro`) Actor
- **URL**: https://apify.com/red.cars/airbnb-scraper-pro.md
- **Developed by:** [AutomateLab](https://apify.com/red.cars) (community)
- **Categories:** MCP servers, AI
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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
## Airbnb Scraper Pro - Vacation Rental Market Intelligence
[](https://apify.com/red.cars/airbnb-scraper-pro)
[](https://opensource.org/licenses/MIT)
> Scrape Airbnb search results and listing details with various filters - no API key required for basic property data extraction
### Description
Scrape Airbnb search results and listing details with various filters - no API key required for basic property data extraction
### Features
📌 Status
🧠Context
[2026-03-12] — outputSchema description added (spec-005)
### How It Works
This actor uses intelligent extraction with Apify's proxy infrastructure to gather public data from Airbnb Scraper Pro - Vacation Rental Market Intelligence. It handles authentication, pagination, and error recovery automatically.
### Quick Start
```bash
## Run via Apify API
apify run -a red.cars/airbnb-scraper-pro
## Or configure input and click Run on:
## https://apify.com/red.cars/airbnb-scraper-pro
````
#### Using as an MCP Tool
#### Running on Apify Platform
Set `API_KEY` in your Apify Console secrets, configure input via the Actor input schema UI, and click **Run**.
### Input Schema
| Parameter | Type | Description | Default |
|-----------|------|-------------|---------|
| `mode` | string | Choose what type of data to extract
Options: `search`, `details` | search |
| `location` | string | Enter the city, neighborhood, or address you want to analyze for investment opportunities | New York, NY |
| `listingIds` | array | List of Airbnb property IDs for detailed analysis (only used in Details mode) | - |
| `checkin` | string | Format: YYYY-MM-DD. Leave empty for general market analysis | |
| `checkout` | string | Format: YYYY-MM-DD. Leave empty for general market analysis | |
| `adults` | integer | Number of adult guests for pricing calculations | 2 |
| `children` | integer | Number of children for family-friendly property analysis | 0 |
| `minPrice` | integer | Filter properties by minimum nightly rate (USD) | - |
| `maxPrice` | integer | Filter properties by maximum nightly rate (USD) | - |
| `maxResults` | integer | How many properties to collect for your market research (large-scale market analysis now supported) | 5 |
| `enableBusinessIntelligence` | boolean | Add property investment scoring, market analysis, and business insights to help evaluate opportunities | false |
| `proxyType` | string | Choose your preferred balance of cost vs reliability. Higher reliability reduces blocking risk.
Options: `DATACENTER`, `RESIDENTIAL` | RESIDENTIAL |
| `debugMode` | boolean | Enable minimal extraction for health checks and testing. Guarantees success within 300s. | false |
| `outputFormat` | string | Choose how you want to receive your property data. Use 'markdown' for token-efficient LLM-ready real estate cards.
Options: `json`, `csv`, `markdown`, `excel`, `salesforce`, `hubspot` | json |
| `checkOnly` | boolean | When true, returns immediately with capability metadata without scraping. Used by AI agents to verify availability before committing to a paid run. Free, <5 seconds. | false |
### Output Schema
| Field | Type | Description |
|-------|------|-------------|
| `results` | string | Airbnb vacation rental listings by location or keyword. Each result contains: id, url, name, price/night, rating (0-5), location, roomType, beds, host info (name, isSuperhost), imageUrl. Use for short-term rental market analysis, real estate investment research, pricing intelligence, Airbnb host benchmarking. AI agents: search by city or neighborhood for rental comps. |
### Example Output
```json
{
"results": [
{
"url": "https://example.com/profile",
"username": "example_user",
"fullName": "Example User",
"followersCount": 10000,
"followingCount": 500,
"postsCount": 250,
"isVerified": false,
"biography": "Example bio text",
"latestPosts": [],
"scrapedAt": "2026-03-23T13:24:09.829Z"
}
]
}
```
### Pricing
### Use Cases
- **Influencer Research**: Identify and evaluate potential influencers by engagement metrics and audience quality
- **Competitor Monitoring**: Track competitor presence and activity on Airbnb
- **Lead Generation**: Build targeted lead lists from public profiles and contact information
- **Market Intelligence**: Gather market intelligence and trend data for business decisions
- **Content Aggregation**: Collect content for analysis, archiving, or republication
### FAQ
#### Do I need an API key?
Yes, this actor requires an API key. Set it via the secret environment variable in Apify Console.
#### How does pricing work?
This actor uses Apify's Pay-Per-Event model. You are charged per successful result returned. No charge for queries that return zero results.
#### What are the rate limits?
Rate limits depend on your Apify plan. Higher-tier plans provide more compute units and faster extraction.
#### How do I increase success rate?
- Enable **Premium (Residential)** proxy for high-security targets
- Reduce concurrency for rate-limited profiles
- Use debug mode to test before full extraction
#### Can I run this on a schedule?
Yes, use Apify Scheduler to run this actor on a cron schedule for continuous monitoring.
#### How do I export to CRM?
Set `exportFormat` to `salesforce` or `hubspot` for direct CRM import format.
### Troubleshooting
| Error | Cause | Fix |
|-------|-------|-----|
| NETWORK\_ERROR | Network connectivity issue | Check internet connection, retry with proxy |
| VALIDATION\_ERROR | Invalid input parameters | Review input schema and retry |
### Known Limitations
- **Private accounts**: Cannot extract data from private accounts without following
- **Rate limiting**: Platform may temporarily block repeated requests from same IP
- **Data freshness**: Extracted data reflects moment of extraction; historical data may be limited
- **Proxy requirements**: High-security targets may require residential proxy for reliable extraction
- **Content limits**: Platform-imposed limits on historical post retrieval
### Legal
**Data Source**: Airbnb (airbnb.com)
**Terms of Service**: This actor is provided for legitimate data collection purposes only. Users must comply with the target platform's Terms of Service and applicable laws. Red.cars is not responsible for misuse of this tool.
**Privacy**: All extracted data is processed in accordance with applicable privacy laws. Do not use this tool for unauthorized data collection or privacy-violating activities.
**Attribution**: When using Airbnb data, comply with their attribution requirements and data policies.
***
*red.cars Intelligence Fleet • [apify.com/red.cars](https://apify.com/red.cars)*
# Actor input Schema
## `mode` (type: `string`):
Choose what type of data to extract
## `location` (type: `string`):
Enter the city, neighborhood, or address you want to analyze for investment opportunities
## `listingIds` (type: `array`):
List of Airbnb property IDs for detailed analysis (only used in Details mode)
## `checkin` (type: `string`):
Format: YYYY-MM-DD. Leave empty for general market analysis
## `checkout` (type: `string`):
Format: YYYY-MM-DD. Leave empty for general market analysis
## `adults` (type: `integer`):
Number of adult guests for pricing calculations
## `children` (type: `integer`):
Number of children for family-friendly property analysis
## `minPrice` (type: `integer`):
Filter properties by minimum nightly rate (USD)
## `maxPrice` (type: `integer`):
Filter properties by maximum nightly rate (USD)
## `maxResults` (type: `integer`):
How many properties to collect for your market research (large-scale market analysis now supported)
## `enableBusinessIntelligence` (type: `boolean`):
Add property investment scoring, market analysis, and business insights to help evaluate opportunities
## `proxyType` (type: `string`):
Choose your preferred balance of cost vs reliability. Standard (Datacenter) is faster; Premium (Residential) is most reliable for high-security targets.
## `debugMode` (type: `boolean`):
Enable minimal extraction for health checks and testing. Guarantees success within 300s.
## `outputFormat` (type: `string`):
Choose how you want to receive your property data. Use 'markdown' for token-efficient LLM-ready real estate cards.
## Actor input object example
```json
{
"mode": "search",
"location": "New York, NY",
"listingIds": [
"50633275",
"45678912"
],
"checkin": "",
"checkout": "",
"adults": 2,
"children": 0,
"maxResults": 5,
"enableBusinessIntelligence": false,
"proxyType": "RESIDENTIAL",
"debugMode": false,
"outputFormat": "json"
}
```
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("red.cars/airbnb-scraper-pro").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/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("red.cars/airbnb-scraper-pro").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call red.cars/airbnb-scraper-pro --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=red.cars/airbnb-scraper-pro",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Airbnb Scraper Pro",
"version": "0.0",
"x-build-id": "s23yUwoGIOZFhIy3V"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/red.cars~airbnb-scraper-pro/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-red.cars-airbnb-scraper-pro",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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
}
}
}
}
}
}
}
}
}
}
```