How to Get Airbnb Data, Hotel Prices, and Transit Feeds in Bulk

Airbnb data is one of the most-requested scraping targets on the web — listings, prices, availability, reviews — and it's only the start of travel data. This guide covers bulk exports across short-term rentals, hotel pricing, and the rail and transit systems travelers actually ride.

Scraping Airbnb data: listings, prices, reviews

The Airbnb scraper exports listings by location: nightly price, availability, ratings, review counts, amenities, and host details. Short-term-rental investors run it per market to size revenue potential; hosts run it on their own neighborhood for pricing; researchers pull city-level datasets that Airbnb's own reports don't break out.

Hotel price data: Booking.com and cross-site comparison

The Booking.com scraper exports hotel search results — property, price, rating, location — for a city and date range. The hotel price comparison scraper queries multiple booking sites for the same stay and returns the spread, which is the dataset rate-parity monitoring and OTA benchmarking are built on.

Multimodal routes across Asia from 12go

The 12go.asia scraper exports train, bus, ferry, and flight options with operators, schedules, and fares across 40+ Asian countries — one query per route, structured results for itinerary tools and fare research.

National rail timetables: Japan, India, and beyond

Rail data ships per-country. The Japan rail timetable scraper and Indian Railways scraper export schedules from two of the world's densest networks; Amtrak network and Amtrak + Greyhound intercity cover US intercity routes and fares.

City transit systems across Asia-Pacific

A set of per-city scrapers exports metro and transit data with consistent fields: Singapore, Hong Kong, South Korea, Malaysia KTMB, and Indonesia KAI — routes, stations, and schedules for mobility apps and urban research.

Bike share networks worldwide via GBFS

The CityBikes GBFS aggregator exports station status across hundreds of bike-share systems publishing the GBFS standard — dock counts, availability, and coordinates in one normalized feed.

Travel data source summary

Data	Source	Typical use
Short-term rentals	Airbnb	Market sizing, pricing
Hotel prices	Booking.com, comparison scraper	Rate parity, benchmarking
Asia multimodal routes	12go.asia	Itinerary tools, fare data
Rail timetables	Japan Rail, Indian Railways, Amtrak	Schedule products
City transit	SG / HK / KR / MY / ID scrapers	Mobility apps, research
Bike share	CityBikes GBFS	Urban mobility datasets

Pricing a market scan

A 300-listing Airbnb market scan, a two-city hotel-rate sweep, or a full national timetable pull each price per record retrieved — cents to a few dollars per run, rerunnable on whatever cadence the analysis needs. No travel-data license, no API partnership application.

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