Airbnb Listing Data Extraction: Prices, Reviews, and Availability with Python

Airbnb data is incredibly valuable for travel analytics, competitive pricing, and real estate market research. In this guide, we'll extract listing prices, reviews, and availability using Python. Why Extract Airbnb Data? Property managers : Monitor competitor pricing in your area Travel analysts : Track seasonal price trends across destinations Real estate investors : Assess short-term rental potential for properties Market researchers : Understand supply and demand patterns Setting Up the Scraper Airbnb is a React-based SPA, so we need a browser automation tool: from playwright.sync_api import sync_playwright import json import time import random import csv from dataclasses import dataclass , asdict , field from typing import List , Optional @dataclass class AirbnbListing : title : str price_per_night : str total_price : Optional [ str ] rating : Optional [ str ] review_count : Optional [ int ] property_type : str beds : Optional [ str ] location : str url : str amenities : List [ str