This project is an open-source tool developed in Python for extracting product information from Airbnb. It's designed to be easy to use, making it an ideal solution for developers looking for Airbnb product data.
- Extract prices, available dates, reviews, host details and others
- Full search support with filtering by amenities
- Extracts detailed product information from Airbnb
- Implemented in Python just because it's popular
- Easy to integrate with existing Python projects
- This was a project first implemented on:https://github.com/johnbalvin/pybnb but was moved to https://github.com/johnbalvin/pyairbnb to match the name with pip name
- With the new airbnb changes, if you want to get the price from a room url you need to specify the date range the date range should be on the format year-month-day, if you leave the date range empty, you will get the details but not the price
$ pip install pyairbnbimport pyairbnb
import json
# Define search parameters
currency = "MXN" # Currency for the search
check_in = "2025-10-01" # Check-in date
check_out = "2025-10-04" # Check-out date
ne_lat = -0.6747456399483214 # North-East latitude
ne_long = -90.30058677891441 # North-East longitude
sw_lat = -0.7596840340260731 # South-West latitude
sw_long = -90.36727562895442 # South-West longitude
zoom_value = 2 # Zoom level for the map
price_min = 1000
price_max = 0
place_type = "Private room" #or "Entire home/apt" or empty
amenities = [4, 7] # Example: Filter for listings with WiFi and Pool or leave empty
language = "th"
proxy_url = ""
# Search listings within specified coordinates and date range using keyword arguments
search_results = pyairbnb.search_all(
check_in=check_in,
check_out=check_out,
ne_lat=ne_lat,
ne_long=ne_long,
sw_lat=sw_lat,
sw_long=sw_long,
zoom_value=zoom_value,
price_min=price_min,
price_max=price_max,
place_type=place_type,
amenities=amenities,
currency=currency,
language=language,
proxy_url=proxy_url
)
# Save the search results as a JSON file
with open('search_results.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(search_results)) # Convert results to JSON and write to fileimport pyairbnb
import json
# Define an Airbnb search URL using only the supported parameters
url = "https://www.airbnb.com/s/Luxembourg--Luxembourg/homes?checkin=2025-07-09&checkout=2025-07-16&ne_lat=49.76537&ne_lng=6.56057&sw_lat=49.31155&sw_lng=6.03263&zoom=10&price_min=22&price_max=100&room_types%5B%5D=Entire%20home%2Fapt&amenities%5B%5D=4&amenities%5B%5D=5"
# Use the URL wrapper
results = pyairbnb.search_all_from_url(url, currency="EUR", language ="es", proxy_url="")
# Save results and print count
with open('search_from_url.json', 'w', encoding='utf-8') as f:
json.dump(results, f, ensure_ascii=False, indent=2)
print(f"Found {len(results)} listings from URL search.")room_url="https://www.airbnb.com/rooms/30931885"
check_in = "2025-10-10"
check_out = "2025-10-12"
proxy_url = "" # Proxy URL (if needed)
language="de"
data, price_input, cookies = details.get(room_url, language, proxy_url)
product_id = price_input["product_id"]
api_key = price_input["api_key"]
currency = "USD"
adults=1
data = price.get(api_key, cookies, price_input["impression_id"], product_id,
check_in, check_out, adults, currency, language, proxy_url)
with open('price.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(data))import pyairbnb
import json
host_id = 656454528
api_key = pyairbnb.get_api_key("")
listings = pyairbnb.get_listings_from_user(host_id,api_key,"")
with open('listings.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(listings))Getting experiences by just taking the first autocompletions that you would normally do manually on the website
import pyairbnb
import json
check_in = "2025-10-10"
check_out = "2025-10-12"
currency = "EUR"
user_input_text = "Estados Unidos"
locale = "es"
proxy_url = "" # Proxy URL (if needed)
api_key = pyairbnb.get_api_key("")
experiences = pyairbnb.experience_search(user_input_text, currency, locale, check_in, check_out, api_key, proxy_url)
with open('experiences.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(experiences))import pyairbnb
import json
check_in = "2025-10-06"
check_out = "2025-10-10"
currency = "USD"
user_input_text = "cuenca"
locale = "pt"
proxy_url = "" # Proxy URL (if needed)
api_key = pyairbnb.get_api_key("")
markets_data = pyairbnb.get_markets(currency,locale,api_key,proxy_url)
markets = pyairbnb.get_nested_value(markets_data,"user_markets", [])
if len(markets)==0:
raise Exception("markets are empty")
config_token = pyairbnb.get_nested_value(markets[0],"satori_parameters", "")
country_code = pyairbnb.get_nested_value(markets[0],"country_code", "")
if config_token=="" or country_code=="":
raise Exception("config_token or country_code are empty")
place_ids_results = pyairbnb.get_places_ids(country_code, user_input_text, currency, locale, config_token, api_key, proxy_url)
if len(place_ids_results)==0:
raise Exception("empty places ids")
place_id = pyairbnb.get_nested_value(place_ids_results[0],"location.google_place_id", "")
location_name = pyairbnb.get_nested_value(place_ids_results[0],"location.location_name", "")
if place_id=="" or location_name=="":
raise Exception("place_id or location_name are empty")
[result,cursor] = pyairbnb.experience_search_by_place_id("", place_id, location_name, currency, locale, check_in, check_out, api_key, proxy_url)
while cursor!="":
[result_tmp,cursor] = pyairbnb.experience_search_by_place_id(cursor, place_id, location_name, currency, locale, check_in, check_out, api_key, proxy_url)
if len(result_tmp)==0:
break
result = result + result_tmp
with open('experiences.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(result))import pyairbnb
import json
# Define listing URL and parameters
room_url = "https://www.airbnb.com/rooms/51752186" # Listing URL
currency = "USD" # Currency for the listing details
checkin = "2025-10-12"
checkout = "2025-10-17"
# Retrieve listing details without including the price information (no check-in/check-out dates)
data = pyairbnb.get_details(room_url=room_url, currency=currency,adults=2, language="ja")
# Save the retrieved details to a JSON file
with open('details_data.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(data)) # Convert the data to JSON and save itYou can also use get_details with a room ID and an optional proxy.
import pyairbnb
from urllib.parse import urlparse
import json
# Define listing parameters
room_id = 18039593 # Listing room ID
currency = "MXN" # Currency for the listing details
proxy_url = "" # Proxy URL (if needed)
# Retrieve listing details by room ID with a proxy
checkin = "2025-10-12"
checkout = "2025-10-17"
data = pyairbnb.get_details(room_id=room_id, currency=currency, proxy_url=proxy_url,adults=3, language="ko")
# Save the retrieved details to a JSON file
with open('details_data.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(data)) # Convert the data to JSON and save itUse get_reviews to extract reviews and metadata for a specific listing.
import pyairbnb
import json
# Define listing URL and proxy URL
room_url = "https://www.airbnb.com/rooms/30931885" # Listing URL
proxy_url = "" # Proxy URL (if needed)
language = "fr"
# Retrieve reviews for the specified listing
reviews_data = pyairbnb.get_reviews(room_url, language, proxy_url)
# Save the reviews data to a JSON file
with open('reviews.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(reviews_data)) # Extract reviews and save them to a fileThe get_calendar function provides availability information for specified listings.
import pyairbnb
import json
# Define listing parameters
room_id = "44590727" # Listing room ID
proxy_url = "" # Proxy URL (if needed)
# Retrieve availability for the specified listing
calendar_data = pyairbnb.get_calendar(room_id, "", proxy_url)
# Save the calendar data (availability) to a JSON file
with open('calendar.json', 'w', encoding='utf-8') as f:
f.write(json.dumps(calendar_data)) # Extract calendar data and save it to a file