pyairbnb 1.0.0

Airbnb scraper in Python

Airbnb scraper in Python

Overview

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.

Features

• 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

Legacy

• 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

Important

• 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

Install

$ pip install pyairbnb

Examples

Example for Searching Listings

import pyairbnb
import json

# Define search parameters
currency = "MXN"  # Currency for the search
check_in = "2025-02-01"  # Check-in date
check_out = "2025-02-04"  # Check-out date
ne_lat = -1.03866277790021  # North-East latitude
ne_long = -77.53091734683608  # North-East longitude
sw_lat = -1.1225978433925647  # South-West latitude
sw_long = -77.59713412765507  # 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

# Search listings within specified coordinates and date range
search_results = pyairbnb.search_all(check_in, check_out, ne_lat, ne_long, sw_lat, sw_long, zoom_value, currency, place_type, price_min, price_max, amenities, "")

# 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 file

Retrieving Details for Listings

Getting price

import pyairbnb
import json
room_url="https://www.airbnb.com/rooms/30931885"
check_in = "2025-04-10"
check_out = "2025-04-12"
proxy_url = ""  # Proxy URL (if needed)
data, price_input, cookies = pyairbnb.get_metadata_from_url(room_url, proxy_url)
product_id = price_input["product_id"]
api_key = price_input["api_key"]
currency = "USD"
data = pyairbnb.get_price(product_id, price_input["impression_id"], api_key, currency, cookies,
            check_in, check_out, proxy_url)

with open('price.json', 'w', encoding='utf-8') as f:
    f.write(json.dumps(data))

Getting listings from user id

import pyairbnb
import json
host_id = 0
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 = "2025-04-10"
check_out = "2025-04-12"
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))

Getting experiences by first getting the autocompletions

import pyairbnb
import json
check_in = "2025-03-06"
check_out = "2025-03-10"
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))

Getting available/unavailable homes along with metadata

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 = "2025-07-12"
checkout = "2025-07-17"
# 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)

# 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 it

Retrieve Details Using Room ID with Proxy

You 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 = "2025-07-12"
checkout = "2025-07-17"
data = pyairbnb.get_details(room_id=room_id, currency=currency, proxy_url=proxy_url,adults=3)

# 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 it

Retrieve Reviews for a Listing

Use 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)

# Retrieve reviews for the specified listing
reviews_data = pyairbnb.get_reviews(room_url, 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 file

Retrieve Availability for a Listing

The 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