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Developer
TaskAGI

Maintained by TaskAGI

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Monthly users
750
Stars
85
Up-time
97%
Last updated
8 days ago

Integrates with

Industries

Data Scraping eCommerce
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AirBnb Scraper

Scrape property information, reviews, features and search results from AirBnb
24 Jan, 2024
Active since
Overall rating

Overview

Our Airbnb Scraper is a sophisticated tool designed to extract comprehensive data from Airbnb listings. It provides real estate professionals, market researchers, and travel industry analysts with in-depth insights into the short-term rental market.

Key Features

Listing Details

Gather complete information about Airbnb properties, including prices, amenities, and host details.

Availability Tracking

Monitor property availability dates to identify peak seasons and booking patterns.

Review Analysis

Collect and analyze guest reviews to gauge property and host performance.

Data Provided

  • Property descriptions and titles
  • Pricing information (nightly rates, cleaning fees, service fees)
  • Host profiles and ratings
  • Guest capacity and bedroom/bathroom counts
  • Amenity lists
  • Geographical coordinates
  • Available booking dates
  • Guest reviews and ratings
  • House rules and policies

Benefits

  1. Gain insights into pricing strategies across different locations and seasons
  2. Identify popular amenities and features that drive bookings
  3. Analyze competition in specific markets or neighborhoods
  4. Track market trends and occupancy rates
  5. Optimize your own listings based on successful properties in the area

Industries That Can Benefit

Industry Use Cases
Real Estate Market analysis, investment opportunity identification, property valuation
Tourism & Hospitality Competitive analysis, pricing strategy development, trend forecasting
Property Management Portfolio optimization, service offering comparisons, market positioning
Market Research Consumer behavior analysis, regional market studies, trend identification
Urban Planning Short-term rental impact studies, housing market analysis, tourism infrastructure planning

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Airbnb Scraper

Description

The Airbnb Scraper API allows you to extract property information from Airbnb.com. This powerful tool enables developers to integrate Airbnb data into their applications for travel analysis, property comparisons, and more.

How to Use

To use the Airbnb Scraper API, you'll need to authenticate your requests using your API key. The API provides two endpoints for retrieving property information:

Endpoints

  • POST https://taskagi.net/api/travel/airbnb-scraper/properties - Retrieve property information by URL
  • POST https://taskagi.net/api/travel/airbnb-scraper/properties-by-location - Discover properties by location

Authentication

Include your API key in the request headers:

Authorization: Bearer YOUR_API_KEY

Request Body

The request body should be a JSON object with the following structure:


// For properties endpoint
{
    "url": "https://www.airbnb.com/rooms/property_id"
}

// For properties-by-location endpoint
{
    "location": "New York, NY"
}

Rate Limiting

Please note that usage is subject to rate limiting. Refer to your plan details for specific limits.


import requests
import json

# Your API Key
api_key = 'YOUR_API_KEY'

# API Endpoint for properties
url = 'https://taskagi.net/api/travel/airbnb-scraper/properties'

# Headers
headers = {
    'Authorization': f'Bearer {api_key}',
    'Content-Type': 'application/json'
}

# Request Body
data = {
    'url': 'https://www.airbnb.com/rooms/property_id'
}

# Send POST request
response = requests.post(url, headers=headers, json=data)

# Check if the request was successful
if response.status_code == 200:
    # Parse the JSON response
    property_data = response.json()
    
    # Print the property information
    print(json.dumps(property_data, indent=2))
else:
    print(f"Error: {response.status_code}")
    print(response.text)

# Example for properties by location
url = 'https://taskagi.net/api/travel/airbnb-scraper/properties-by-location'

# Request Body for location search
data = {
    'location': 'New York, NY'
}

# Send POST request
response = requests.post(url, headers=headers, json=data)

# Check if the request was successful
if response.status_code == 200:
    # Parse the JSON response
    location_properties = response.json()
    
    # Print the property results
    print(json.dumps(location_properties, indent=2))
else:
    print(f"Error: {response.status_code}")
    print(response.text)

Case studies & Product updates

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Frequesntly Asked Questions

Product

Our Airbnb Scraper is designed to collect publicly available data in a manner that respects Airbnb's robots.txt file and rate limits. We recommend users review Airbnb's terms of service and use the data responsibly.
Our Airbnb Scraper provides near real-time data updates. The exact frequency depends on the specific query and data volume, but most information is refreshed within hours of being updated on Airbnb.
Yes, our Airbnb Scraper allows you to target specific cities, neighborhoods, or geographical coordinates. This feature enables precise market analysis for particular areas of interest.
Our Airbnb Scraper primarily focuses on current and future availability and pricing. For historical data analysis, we recommend regular scraping to build a dataset over time. This approach allows for tracking price fluctuations and market trends.
Our Airbnb Scraper offers flexible data export options. You can receive data in JSON, CSV, or Excel formats, making it easy to integrate with your existing tools and workflows for analysis and reporting.