Hotel Price Comparison - Booking, Expedia, Agoda Parity

Hotel Price Comparison by ScraperCompany checks the same stay at the same hotel on Booking.com, Hotels.com, Agoda and Expedia in a single request and tells you which site is cheapest and by how much. Each site is fetched in parallel and reported with its own status, so one blocked site never hides the others. It is built for hotel rate parity monitoring: revenue managers, channel managers and travel analysts who need a daily view of where a hotel is undercut. Pricing is pay-per-event: $0.045 per comparison, not charged when no site returns a price.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this hotel price scraper do?

• Four OTAs in one request: Booking.com, Hotels.com, Agoda and Expedia.
• Lowest price, lowest site and spread when prices are comparable.
• Per-site status (ok, sold out, blocked) so partial answers are still useful.
• Flags when currencies differ instead of computing a misleading spread.
• Batch many hotels; each hotel object can carry its own dates.
• Not charged when no site returns a price.

Use cases for hotel price data

• Revenue managers: Get a daily view of which OTA undercuts your hotel and by how much.
• Channel managers: Catch rate parity breaks across Booking.com, Hotels.com, Agoda and Expedia.
• Travel analysts: Measure price spreads between OTAs for the same stay.

What hotel price data can you extract?

Field	Description
comparison.lowest_price / lowest_source	Cheapest site and its price
comparison.spread	Difference between the most and least expensive site
comparison.prices / currencies	Price and currency per site
comparison.comparable / status / reason	Whether the prices can be compared and why not
sources.<site>.status / price_per_night	Per-site result
meta.ok / meta.requested	Sites answered out of sites requested

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape hotel prices across booking sites

1. Open Hotel Price Comparison in Apify Console and go to the Input tab.
2. Add one object per hotel with its id on each site (Booking.com slug, Hotels.com id, Agoda id, Expedia id). Find ids with the Booking.com, Hotels.com, Agoda and Expedia scrapers' search modes.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "hotels": [
    {
      "booking_pagename": "moxy-boston-downtown",
      "booking_country": "us",
      "hotels_property_id": "38766175",
      "agoda_property_id": "8795952"
    }
  ],
  "check_in": "30 days",
  "currency": "USD",
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "endpoint": "/v1/ota/compare",
  "input": {
    "booking_pagename": "moxy-boston-downtown",
    "booking_country": "us",
    "hotels_property_id": "38766175",
    "agoda_property_id": "8795952",
    "check_in": "2026-10-31",
    "currency": "USD"
  },
  "availability": {
    "agoda": "available",
    "booking": "available",
    "expedia": "min_stay",
    "hotels": "blocked"
  },
  "comparison": {
    "comparable": true,
    "currencies": {
      "agoda": "USD",
      "booking": "USD"
    },
    "identifiers": {
      "agoda": "8795952",
      "booking": "moxy-boston-downtown"
    },
    "lowest_price": 285,
    "lowest_source": "booking",
    "price_provenance": {},
    "prices": {
      "agoda": 332,
      "booking": 285
    },
    "reason": null,
    "spread": 47,
    "status": "comparable"
  },
  "meta": {
    "elapsed_s": 15.89,
    "ok": 2,
    "requested": 4
  },
  "search_parameters": {
    "adults": 2,
    "agoda_property_id": "8795952",
    "booking_pagename": "moxy-boston-downtown",
    "check_in_date": "2026-09-14",
    "check_out_date": "2026-09-15",
    "currency": "USD",
    "engine": "ota_compare"
  },
  "sources": {
    "agoda": {
      "availability": "available",
      "currency": "USD",
      "is_soldout": false,
      "price_per_night": 332,
      "status": "ok"
    },
    "booking": {
      "availability": "available",
      "currency": "USD",
      "is_soldout": false,
      "price_per_night": 285,
      "status": "ok"
    },
    "expedia": {
      "availability": "min_stay",
      "availability_reason": "This property requires you to stay at least 7 nights.",
      "currency": "USD",
      "is_soldout": false,
      "min_length_of_stay": 7,
      "price_per_night": null,
      "status": "no_price"
    },
    "hotels": {
      "availability": "blocked",
      "availability_reason": "ExpediaBlocked: HTTP 429",
      "error": "ExpediaBlocked: HTTP 429",
      "is_soldout": false,
      "status": "error"
    }
  },
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape hotel prices across booking sites?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
comparison-request	One hotel compared across Booking.com, Hotels.com, Agoda and Expedia for one stay. Not charged when no site returns a price.	$0.045	$45.00

These prices apply from November 5, 2026, after Apify's 14-day notice of a price change; until then runs are charged the previous prices shown on the Pricing tab.

From November 5, 2026, paid Apify plans pay less: comparison-request up to 7% off (Bronze 5%, more on higher plans). The Pricing tab shows the price on your plan.

For example, comparing 1,000 hotel-stays costs $45.00 (each covers up to four sites).

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

Why is there no spread for my hotel?

A spread is only computed when at least two sites priced the stay in the same currency. Hotels.com and Expedia price in their market's currency, so set the markets and currency to match.

What if one site is blocked?

The other sites are still returned, each with its own status. You are charged as long as at least one site returned a price.

Is it legal to scrape hotel prices across booking sites?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/hotel-price-comparison').call({
    "hotels": [
        {
            "booking_pagename": "moxy-boston-downtown",
            "booking_country": "us",
            "hotels_property_id": "38766175",
            "agoda_property_id": "8795952"
        }
    ],
    "check_in": "30 days"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/hotel-price-comparison").call(run_input={
    "hotels": [
        {
            "booking_pagename": "moxy-boston-downtown",
            "booking_country": "us",
            "hotels_property_id": "38766175",
            "agoda_property_id": "8795952",
        },
    ],
    "check_in": "30 days",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Booking.com Price Scraper: Booking.com price calendars for a year of dates
• Agoda Scraper: every Agoda room and rate plan
• Hotel Direct Booking Rates Scraper: the hotel's own direct rate

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.