Airbnb Listing Reviews

Export unlimited listings from Search Queries with this powerful tool in just $25/month. Perfect for researchers, data analysts, and businesses looking to gather insights from Airbnb.

🚀 Features

• Accepts list of Search Queries
• Extract unlimited listings from any Search Query.
• Includes details like url, image, rating, name, total reviews, and more.
• Supports proxy integration to avoid rate limits and IP bans.
• Simple setup and easy-to-use interface.

📝 Copy for Use:

{
  "search_queries": ["newyork"]
}

Input Parameters:

• search_queries (required): Search Queries
• proxy (optional): A rotating proxy URL to ensure smooth scraping without interruptions.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Request Example (Python)

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "search_queries": ["newyork"]
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/airbnb-listing-urls").call(run_input=run_input)

JavaScript

import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your API token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "search_queries": ["newyork"]
};

(async () => {
    // Run the Actor and wait for it to finish
    const run = await client.actor("rigelbytes/airbnb-listing-urls").call(input);

})();

Running with cURL

# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
cat > input.json <<'EOF'
{
  "search_queries": ["newyork"]
}
EOF

# Run the Actor
curl "https://api.apify.com/v2/acts/rigelbytes/airbnb-listing-urls/runs?token=$API_TOKEN" \
  -X POST \
  -d @input.json \
  -H 'Content-Type: application/json'

📦 Output

The scraper provides a structured dataset with the following fields:

• Name: The name of the listing.

• Image: Image of the listing.

• URL: The URL of the listing.

• Rating: The listing rating.

• Reviews: Total reviews of the listing.

• Output

  

[
  {
    "image": "https://a0.muscache.com/im/pictures/hosting/Hosting-1409798799840329543/original/1d7b1f06-0845-4455-be5b-2b677fec1875.jpeg?im_w=720",
    "url": "https://www.airbnb.com/rooms/1409798799840329543",
    "name": "A beautiful and comfortable room.",
    "reviews": 6,
    "price": 0,
    "rating": 5,
    "home_details": "2 guests, 1 bedroom, 1 bed, Shared half-bath",
    "lat": 40.79613,
    "lng": -74.01573,
    "title": "Room in West New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/miso/Hosting-37879131/original/961a5d51-2ac6-4423-9e9d-4ee03dd4b221.jpeg?im_w=720",
    "url": "https://www.airbnb.com/rooms/37879131",
    "name": "Charming",
    "reviews": 229,
    "price": 0,
    "rating": 4.93,
    "home_details": "2 guests, 1 bedroom, 1 bed, 1 private bath",
    "lat": 40.80562317909974,
    "lng": -73.9481598438038,
    "title": "Room in New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/airflow/Hosting-759644640471449248/original/71a59712-dac9-49cb-a06f-53eae04fe216.jpg?im_w=720",
    "url": "https://www.airbnb.com/rooms/759644640471449248",
    "name": "Lovely bedroom w/ private bathroom and city views",
    "reviews": 49,
    "price": 0,
    "rating": 5,
    "home_details": "2 guests, 1 bedroom, 1 bed, 1 private bath",
    "lat": 40.76390809746948,
    "lng": -73.94176773360262,
    "title": "Room in New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/hosting/Hosting-1414536568287040542/original/0f6ad513-1899-4459-bda5-c161032fa3a3.jpeg?im_w=720",
    "url": "https://www.airbnb.com/rooms/1414536568287040542",
    "name": "Room 20min from Times Square NYC Manhattan",
    "reviews": 1,
    "price": 0,
    "rating": null,
    "home_details": "1 guest, 1 bedroom, 1 bed, 1 shared bath",
    "lat": 40.786650656116564,
    "lng": -74.01955631021612,
    "title": "Room in West New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/prohost-api/Hosting-1110580750895991230/original/04c6cc45-7ef5-456b-ab2e-e80cbce2e64e.png?im_w=720",
    "url": "https://www.airbnb.com/rooms/1110580750895991230",
    "name": "Sleepless City| Times Square. Fitness Center",
    "reviews": 471,
    "price": 0,
    "rating": 4.58,
    "home_details": "2 guests, 1 bedroom, 1 bed, 1 bath",
    "lat": 40.757818235652564,
    "lng": -73.98547918174252,
    "title": "Hotel in New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/hosting/Hosting-U3RheVN1cHBseUxpc3Rpbmc6OTkyOTcwOTY1NzkwNzcyNjA3/original/8f777c9d-4a1d-4d0c-acf5-47d624e03b71.jpeg?im_w=720",
    "url": "https://www.airbnb.com/rooms/992970965790772607",
    "name": "Studio with 1 Queen Bed",
    "reviews": 883,
    "price": 0,
    "rating": 4.65,
    "home_details": "2 guests, 1 bedroom, 1 bed, 1 bath",
    "lat": 40.755523211398796,
    "lng": -73.99200420742673,
    "title": "Hotel in New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/prohost-api/Hosting-1147706571147821466/original/adbe0778-6f2b-4257-92dc-22b84b4544cf.png?im_w=720",
    "url": "https://www.airbnb.com/rooms/1147706571147821466",
    "name": "Queen with View, Public NYC - Heart of the City",
    "reviews": 19,
    "price": 0,
    "rating": 5,
    "home_details": "2 guests, 1 bedroom, 1 bed, 1 bath",
    "lat": 40.72311,
    "lng": -73.99209,
    "title": "Hotel room in New York"
  },
  {
    "image": "https://a0.muscache.com/im/pictures/miso/Hosting-36629436/original/be745f65-f854-45fb-8810-ccdc9040c168.jpeg?im_w=720",
    "url": "https://www.airbnb.com/rooms/36629436",
    "name": "Church view bedroom in Harlem brownstone",
    "reviews": 181,
    "price": 0,
    "rating": 4.94,
    "home_details": "1 guest, 1 bedroom, 1 bed, 1.5 baths",
    "lat": 40.81908,
    "lng": -73.9456,
    "title": "Room in New York"
  }
]

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.