How to Scrape Airbnb Listings

Airbnb data is valuable for real estate analysis, travel planning, and short-term rental market research. Here is how to extract it.

What Data Can You Get?

• Listing details, Title, description, property type, capacity
• Pricing, Nightly rate, cleaning fee, service fees
• Availability, Calendar data and booking windows
• Reviews, Guest ratings and written feedback
• Host info, Superhost status, response rate, listing count
• Location, Neighborhood, approximate coordinates

Why Airbnb Is Hard to Scrape

Airbnb is one of the most challenging targets:

• Heavy reliance on React/JavaScript rendering
• Sophisticated bot detection (Datadome, custom fingerprinting)
• Dynamic pricing that changes based on dates, guests, and session
• Frequent DOM structure changes

Using ScraperAPI (Recommended)

ScraperAPI is the most reliable way to scrape Airbnb at scale.

import requests
from bs4 import BeautifulSoup

API_KEY = "YOUR_SCRAPERAPI_KEY"
url = "https://www.airbnb.com/s/Tokyo/homes?checkin=2026-07-01&checkout=2026-07-07"

resp = requests.get(
    f"http://api.scraperapi.com?api_key={API_KEY}&url={url}&render=true"
)
soup = BeautifulSoup(resp.text, "html.parser")

Extracting Listing Data

Airbnb embeds listing data in a __NEXT_DATA__ script tag, which contains JSON with all the information.

import json

script = soup.find("script", id="data-deferred-state")
if script:
    data = json.loads(script.string)
    # Navigate the JSON structure to find listing data

Alternative Data Sources

Source	Data Available	Ease of Access
Inside Airbnb	Historical listing data	Free download
AirDNA	Market analytics	Paid API
Airbnb direct	Real-time listings	Hard to scrape

Best Practices

1. Check Inside Airbnb first, Free datasets for many cities at insideairbnb.com
2. Parse __NEXT_DATA__, Much easier than parsing rendered HTML
3. Use ScrapingAnt for residential proxy access, which helps with Airbnb's detection
4. Specify dates, Pricing requires check-in and check-out dates
5. Monitor changes, Re-scrape periodically since listings update frequently
6. Respect hosts, Use data for analysis, not for competing unfairly with hosts