Airbnb stores useful data: listing prices, availability, host ratings, location details, and guest reviews. Whether you are doing market research, tracking rental trends, or building a pricing tool, scraping saves hours of manual work. Airbnb does not offer a public API, so scraping is the only real option, and it comes with anti-bot measures that block a plain request script almost immediately. Rotating residential proxies and the right setup get around that.
In this article, we'll explore how to scrape Airbnb data effectively in 2026.
How to Scrape Airbnb Listings with Python
Airbnb's search pages load data dynamically, so a basic requests call will not return what you need. The most reliable approach is targeting Airbnb's internal API endpoints directly, which return clean JSON without needing a full browser render.
Install the required library:
pip install requestsThen set up your session with realistic headers:
import requests
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
"X-Airbnb-API-Key": "d306zoyjsyarp7ifhu67rjxn52tv0t20"
}
url = "https://www.airbnb.com/api/v3/StaysSearch"
params = {"operationName": "StaysSearch", "locale": "en-US", "currency": "USD"}
response = requests.get(url, headers=headers, params=params)
print(response.json())Airbnb's API key is publicly embedded in its frontend, so no authentication is needed. Loop through pages by incrementing the pagination cursor to collect more results. Keep your rate at one request every two to three seconds. Use ipinfo to verify which IP each request is going out from during testing, and Proxyon's free proxy tools to confirm your setup before running at scale.
Also Read: Best Proxies for Walmart Scraping
Handling Airbnb's Anti-Bot Protection
Airbnb's bot detection flags a single IP fast, returning CAPTCHAs or empty responses within minutes. Rotating residential proxies fixes this by sending each request from a different IP.
proxies = {
"http": "http://username:password@residential.proxyon.io:port",
"https": "http://username:password@residential.proxyon.io:port"
}
response = requests.get(url, headers=headers, params=params, proxies=proxies)Randomize request intervals, rotate your User-Agent string, and slow down immediately if you hit 403 errors. Airbnb specifically flags datacenter IP ranges, so residential proxies are the safer choice at scale.
Also Read: What is a Web Scraping Proxy and Why You Need One
What Data Can You Extract from Airbnb
From a standard search response, you can pull listing IDs, titles, nightly prices, ratings, review counts, host details, property type, and location data. The individual listing endpoint adds cancellation policies, house rules, amenities, availability calendars, and full reviews.
data = response.json()
for listing in data["data"]["presentation"]["staysSearch"]["results"]["searchResults"]:
item = listing["listing"]
print({
"id": item["id"],
"name": item["name"],
"rating": item.get("avgRatingLocalized"),
"price": listing["pricingQuote"]["structuredStayDisplayPrice"]["primaryLine"]["price"]
})Airbnb updates its frontend regularly, so inspect the raw JSON response before building anything around the field paths. Store results in a CSV or database from the start to avoid cleanup work later.
