Expedia Hotel Rates Scraper

Expedia Hotel Rates Scraper prices a hotel on Expedia for the stay you choose and returns the headline nightly and total price together with every room type and rate plan Expedia sells: refundable or not, pay now or pay later, member-only prices flagged as such. Use it to monitor Expedia rates against your direct channel and other OTAs, or to collect pricing data at scale.

Powered by the ScraperCompany API: requests, proxies, retries and anti-bot handling run on ScraperCompany's servers, so you don't need your own proxies or API key. Start a run, get structured JSON.

What can this scraper do?

• Headline price (nightly and total) for any stay of 1-28 nights.
• Every room type and rate plan with price, payment model and member-only flags.
• expedia.com (USD) and expedia.ca (CAD), with currency verification.
• Reports why a stay cannot be sold (minimum stay, sold out).
• Find property id from a hotel name and city.

Modes

Mode	What it returns	Price per request
rates	Headline price plus every room type and rate plan for one stay	$0.012
search	Expedia property id for a hotel name and city	$0.002

What data can you extract?

Field	Description
property.price_per_night / nightly_text	Nightly price
property.total / cheapest_total	Total for the stay and cheapest room total
property.currency / currency_verified	Returned currency
rooms[].name / cheapest_total	Room types
rooms[].offers	Rate plans: price, refundability, payment model, member-only
meta.room_types / meta.offers	Counts of rooms and rate plans
matches[] / recommended_match	Candidates with property id and confidence (Find property id mode)

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

How to use Expedia Hotel Rates Scraper

1. Open Expedia Hotel Rates Scraper in Apify Console and go to the Input tab.
2. Enter Expedia property ids (digits after .h in the hotel URL) and a check-in date. Only know the name? Use Find property id mode.
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.

{
  "mode": "rates",
  "propertyIds": [
    "12570"
  ],
  "check_in": "30 days",
  "hotelNames": [
    "Hilton Chicago"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

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

{
  "mode": "rates",
  "endpoint": "/v1/ota/expedia",
  "input": {
    "property_id": "12570",
    "check_in": "2026-10-31"
  },
  "meta": {
    "collection_id": "ratecol_0123456789abcdef0123456789abcdef",
    "comparable_across_markets": false,
    "egress_mode": "direct",
    "elapsed_s": 0.62,
    "nights": 1,
    "observed_at": "2026-08-07T01:23:45.678Z",
    "offers": 149,
    "room_types": 37,
    "source": "expedia",
    "wire_bytes": 181597
  },
  "property": {
    "available": true,
    "basis": "sticky_bar",
    "cheapest_total": 475,
    "currency": "USD",
    "currency_verified": true,
    "nightly_text": "$374 nightly",
    "price_per_night": 374,
    "property_id": "12570",
    "provenance": {
      "collection_id": "ratecol_0123456789abcdef0123456789abcdef",
      "collector": "scrapingme.ota.expedia",
      "derivation": "upstream",
      "egress_mode": "direct",
      "observation_id": "rateobs_0123456789abcdef0123456789abcdef",
      "observed_at": "2026-08-07T01:23:45.678Z",
      "price_basis": "stay_headline",
      "requested_currency": "USD",
      "requested_market": "US",
      "returned_currency": "USD",
      "schema_version": 1,
      "source": "expedia_com",
      "source_kind": "ota_offer",
      "source_property_id": "12570"
    },
    "total": 475,
    "total_text": "$475"
  },
  "rooms": [
    {
      "cheapest_total": 635,
      "name": "Room, 1 King Bed",
      "offers": [
        {
          "business_model": "EXPEDIA_COLLECT",
          "cancellation_text": "Non-Refundable",
          "currency": "USD",
          "extras_text": "No extras",
          "hotel_collect": false,
          "inventory_type": "MERCHANT",
          "member_only": false,
          "nightly": 509,
          "nightly_text": "$509 nightly",
          "payment_model": "PAY_NOW",
          "plan_id": "266071241",
          "refundable": false,
          "room_type_id": "403873",
          "strikeout_text": "",
          "taxes_and_fees": 126,
          "taxes_and_fees_included": true,
          "total": 635,
          "total_text": "$635 total"
        }
      ],
      "unit_id": "403873"
    }
  ],
  "search_parameters": {
    "adults": 2,
    "check_in_date": "2026-11-17",
    "check_out_date": "2026-11-18",
    "currency": "USD",
    "engine": "expedia_property",
    "market": "US",
    "property_id": "12570",
    "rooms": true
  },
  "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?

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

Event	Charged when	Price	Per 1,000
rates-request	One property priced for one stay, with every room type and rate plan.	$0.012	$12.00
search-request	One hotel name looked up on Expedia (returns its property id).	$0.002	$2.00

For example, 1,000 requests in the default mode cost $12.00.

• 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 a ScraperCompany API key?

No. Proxy rotation, retries and anti-bot handling run on the ScraperCompany side, and the Actor is already connected to the API. You only pay the per-event prices above.

Which Expedia sites are supported?

expedia.com (US, USD) and expedia.ca (Canada, CAD). The currency follows the site.

Is it legal to scrape this data?

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/expedia-hotel-rates-scraper').call({
    "mode": "rates",
    "propertyIds": [
        "12570"
    ],
    "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/expedia-hotel-rates-scraper").call(run_input={
    "mode": "rates",
    "propertyIds": ["12570"],
    "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

• Hotels.com Rates Scraper
• Vrbo Rates Scraper
• Hotel Price Comparison

Support

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