From Zero to Live: Building a Price Comparison App on a Travel Scraping API

By Travel Scrape · Industry: Travel Tech · Region: India & SEA · 9 min read

Case study summary. A two-person startup built and launched a hotel-and-flight price comparison app on the Travel Scrape travel scraping API — going from zero to live across 12 OTAs in days, with no scrapers to build or maintain. By consuming one normalised API, the founders shipped a working product before they’d have finished a single in-house scraper.

This travel scraping API case study shows how a tiny team punched far above its weight by buying data infrastructure instead of building it. Values are illustrative.

The client: two founders, one big idea, zero data

The client was a two-person travel startup building a consumer price-comparison app for hotels and flights across India and Southeast Asia. They had design and mobile skills but no data engineering and no time to acquire it — a classic early-stage constraint. Their product was only as good as the live travel data behind it, and they had none.

The challenge: a comparison app needs data on day one

A price-comparison app is, fundamentally, a data product. Without live rates from the OTAs travellers use, there is nothing to compare and nothing to launch. Building that data layer in-house meant months of web scraping work the two-person team simply couldn’t take on without abandoning the product itself.

• No data engineers to build or run scrapers.
• No time — runway favoured shipping, not infrastructure.
• Needed many sources — a useful comparison app must cover the OTAs users actually book on.

Why the startup chose the Travel Scrape travel scraping API

The founders chose Travel Scrape’s travel scraping API to get a single, normalised feed of hotel and flight data across 12 OTAs. The deciding factors:

• One API, many sources — 12 OTAs through a single normalised endpoint, no per-source code.
• Clean JSON — consistent schema meant the mobile app could consume it directly.
• Days to integrate — a REST API with simple key auth, live in any language fast.
• Zero maintenance — Travel Scrape handled proxies, anti-block and site changes.

The solution: consume one feed, ship the product

Travel Scrape exposed hotel and flight data for the startup’s target markets through its travel scraping API. The team integrated it directly into their app backend.

GET /v1/hotels?city=bali&checkin=2026-08-10&sources=booking,agoda,airbnb
GET /v1/flights?route=DEL-BOM&date=2026-08-15&sources=mmt,skyscanner
// → normalised JSON, same schema across all sources

Sample of a unified comparison response the app rendered directly:

{
  "query": "hotels/bali/2026-08-10",
  "results": [
    { "source": "booking.com", "name": "Ubud Villa", "price": 5200, "currency": "INR" },
    { "source": "agoda",       "name": "Ubud Villa", "price": 4980, "currency": "INR" },
    { "source": "airbnb",      "name": "Ubud Villa", "price": 5100, "currency": "INR" }
  ],
  "cheapest": "agoda"
}

The results: live in days, scaling on data they don’t maintain

The startup launched a credible, multi-OTA comparison app with a two-person team — something that would have been impossible while also building scrapers. Engineering time went entirely into UX and growth, and the data simply arrived, clean and current, through the travel scraping API.

Key takeaways

• Small teams can ship big products by buying the data layer.
• Normalised API = no integration tax — one schema across all sources.
• Maintenance avoided is velocity gained — stay on the product, not the plumbing.

Frequently asked questions

What is a travel scraping API?

A travel scraping API returns live travel data (hotel rates, flight fares, availability) from OTAs as clean JSON. Travel Scrape’s API covers 50+ sources through one normalised endpoint.

How fast can I build an app on a travel scraping API?

Often in days. In this case study a two-person team launched a 12-OTA comparison app without building any scrapers.

Do I need a big team to use it?

No. The whole point is that a small team can ship a data-rich product by consuming the API instead of building scraping infrastructure.

Is the data normalised across OTAs?

Yes. Travel Scrape returns one consistent schema across all sources, so no per-source mapping is needed.

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