Expedia Reviews Scraper

Expedia Reviews Scraper

Expedia Reviews Scraper extracts guest reviews from any Expedia hotel listing — ratings, review text, stay dates, traveler details, sentiment themes, guest photos, and management responses — without touching Expedia's private API or copy-pasting reviews by hand.

Turn any Expedia hotel page into structured review data — ratings, sentiment themes, stay dates, and management responses — sorted by relevance, recency, or rating, ready for JSON, CSV, or Excel export.

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

Use the Apify actor "parsebird/expedia-reviews-scraper" (Expedia Reviews Scraper) via the apify-client library: from apify_client import ApifyClient; client = ApifyClient("<APIFY_TOKEN>"); run = client.actor("parsebird/expedia-reviews-scraper").call(run_input={"startUrl": "https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information", "results_wanted": 20, "max_pages": 8, "review_sort": "most_recent"}); items = client.dataset(run["defaultDatasetId"]).list_items().items. Inputs: startUrl (string, an Expedia Hotel-Information URL), hotelId (string, Expedia hotel ID, overrides startUrl if both are given and disagree), results_wanted (integer, default 20, max review records to save), max_pages (integer, default 8, max review pages of up to 25 reviews each), review_sort (string: none, most_relevant, most_recent, highest_rating, lowest_rating), proxyConfiguration (object, defaults to Apify Proxy RESIDENTIAL group, country US). Output: one JSON record per review with hotel_id, hotel_name, review_id, rating, title, review_text, published_date, stay_date, traveler_name, traveler_type, traveler_location, language, helpful_votes, review_sentiments, guest_photos, management_response_title, response_text, property_url, source_url, scraped_at. Full API reference: https://apify.com/parsebird/expedia-reviews-scraper/api. Get an API token at https://console.apify.com/account/integrations.

What does Expedia Reviews Scraper do?

Expedia Reviews Scraper is a review-extraction tool for Expedia.com hotel listings. Give it a hotel's Hotel-Information URL or just its numeric hotel ID, and it returns every guest review it can find — as structured JSON, ready to filter, chart, or feed into a sentiment model — instead of Expedia's read-only web page.

• 🏨 Works with any Expedia hotel — paste the Hotel-Information URL or just the hotel ID
• ⭐ Captures the full review payload: rating, title, text, sentiment themes, stay date, and guest photos
• 💬 Pulls hotel management responses to reviews when the property replies
• 🔀 Sort collected reviews by relevance, recency, highest rating, or lowest rating
• ⏱️ Runs on Apify's infrastructure with scheduling, API access, and webhooks — no server or Expedia API key required

What data can you extract from Expedia reviews?

Field	Description
hotel_id	Expedia hotel identifier
hotel_name	Hotel name
review_id	Unique review identifier, when available
rating	Guest rating value (out of 10)
title	Review headline
review_text	Main review body
published_date	Date the review was published
stay_date	Month or date of the guest stay
traveler_type	Traveler category, such as family, couple, or business traveler
traveler_name	Reviewer display name
traveler_location	Reviewer location, when shown
language	Review language or locale
helpful_votes	Helpful vote count, when available
review_sentiments	Review theme labels and sentiment highlights
guest_photos	Guest photo URLs, when included with the review
management_response_title	Heading for the property's response
response_text	Management response text
property_url	Expedia hotel page used for the run
source_url	Source URL recorded for traceability
scraped_at	Timestamp when the record was collected

Input parameters

Parameter	Type	Required	Default	Description
startUrl	string	No	Example Expedia hotel URL	Expedia hotel listing page. Hotel-Information URLs are recommended.
hotelId	string	No	—	Expedia hotel ID. Use this when you don't want to provide a full URL.
review_sort	string	No	none	Review order: none, most_relevant, most_recent, highest_rating, lowest_rating.
results_wanted	integer	No	20	Maximum number of review records to save.
max_pages	integer	No	8	Maximum number of review pages to request for the selected hotel.
proxyConfiguration	object	No	Apify Proxy, RESIDENTIAL group, country US	Proxy settings for reliable runs.

At least one of startUrl or hotelId must identify the hotel. If both are provided and don't match, the actor uses hotelId.

How to scrape Expedia hotel reviews

1. Open Expedia Reviews Scraper on the Apify Store and click Try for free.
2. Paste the hotel's Expedia URL — the Hotel-Information page — into Hotel URL, or type its numeric Hotel ID if you already know it.
3. Optionally set Review order, Max reviews, and Max review pages.
4. Click Start and wait for the run to finish.
5. Download results as JSON, CSV, Excel, or HTML, or read them straight from the Dataset API.

Python

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("parsebird/expedia-reviews-scraper").call(run_input={
    "startUrl": "https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information",
    "results_wanted": 50,
    "review_sort": "most_recent",
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rating"], item["review_text"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<APIFY_TOKEN>' });
const run = await client.actor('parsebird/expedia-reviews-scraper').call({
    startUrl: 'https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information',
    results_wanted: 50,
    review_sort: 'most_recent',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Output example

{
    "hotel_id": "438504",
    "hotel_name": "London Heathrow Marriott Hotel",
    "review_id": "6a53be57ba249f2d22dfa6de",
    "rating": 10,
    "review_text": "Very good hotel and friendly staff excellent breakfast enjoyed our stay",
    "published_date": "2026-07-12",
    "stay_date": "2026-06",
    "traveler_name": "Afreen",
    "language": "en_CA",
    "review_sentiments": [
        "Liked: cleanliness, staff & service, amenities, property conditions & facilities"
    ],
    "management_response_title": "Response from Ansh on Jul 18, 2026",
    "response_text": "Dear Afreen, Thank you for your wonderful review! We're delighted to hear you enjoyed your stay.",
    "property_url": "https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information",
    "scraped_at": "2026-07-22T13:00:11.692Z"
}

Fields that Expedia doesn't show for a given review (such as title, traveler_type, or guest_photos) are simply left out of that record instead of being sent as empty values. Download the full dataset in JSON, CSV, Excel, or HTML from the Apify Console, or pull it via the Dataset API.

Use cases

• Hotel reputation monitoring for revenue managers and hoteliers
• Competitive benchmarking of guest sentiment across nearby properties
• Feeding review text into sentiment analysis or NLP pipelines
• Travel research tools and review-aggregation apps
• Tracking how quickly (and how well) a property responds to guest feedback

How it works

1. The actor resolves your hotel from the URL or hotel ID and opens its Expedia listing.
2. It reads the hotel's guest review feed in the order you chose (review_sort).
3. It pages through reviews — up to max_pages pages of 25 reviews each — until it reaches results_wanted or runs out of reviews.
4. Each review is normalized into a flat JSON record and pushed to the dataset as it's collected.
5. Requests automatically back off and retry if Expedia briefly rate-limits a run, so transient hiccups don't fail the whole job.

How much does it cost to scrape Expedia reviews with this actor?

Pay-per-event (PPE) pricing — you pay only for review records actually returned, not for compute time.

Event	Price per event	Price per 1,000
review-scraped	$0.00199	$1.99

Collecting 20 reviews (the default) costs about $0.04; a deeper run of 1,000 reviews costs about $1.99 at the free-tier rate. Apify subscription plans (bronze, silver, gold) unlock lower per-event pricing on the same actor.

FAQ

Do I need an Expedia account or API key? No. Expedia Reviews Scraper reads publicly visible guest reviews from the hotel's listing page — no login or Expedia API access required.

Can I search for hotels by city or keyword? Not directly. This actor takes one specific hotel per run (via startUrl or hotelId). Find the hotel's Expedia URL first, then feed it into this actor to pull its reviews.

What if startUrl and hotelId point to different hotels? The actor uses hotelId and logs a warning — see Input parameters.

Why did a run return fewer reviews than results_wanted? Either the hotel has fewer reviews than requested, or Expedia briefly rate-limited the request. The actor retries automatically with backoff; for large results_wanted values, consider increasing max_pages or re-running.

Can I schedule recurring runs? Yes. Use Apify's Scheduler to run this actor daily, weekly, or at any interval to track new reviews over time.

Can I access this actor programmatically? Yes, via the Apify API, the apify-client Python/JavaScript libraries, or integrations with Make, Zapier, Google Sheets, and more.

I found a bug or missing field — where do I report it? Open an issue on the actor's Issues tab in Apify Console. Include the hotel URL/ID and run ID so it can be reproduced quickly.

Is it legal to scrape Expedia reviews?

Scraping publicly available data — such as guest reviews shown on a public Expedia hotel page — is generally legal, but you're responsible for how you use the collected data. Avoid scraping personal data beyond what's needed, respect Expedia's Terms of Service, and don't use the data in ways that could harm individuals or violate applicable law (such as GDPR or CCPA where relevant). See Apify's blog post on the legality of web scraping for a fuller discussion.

Related Actors

• Airbnb Reviews Scraper — extract guest reviews from Airbnb listings
• Airbnb Scraper & API — extract Airbnb listing details, pricing, and availability
• Trustpilot Reviews Scraper — extract company reviews from Trustpilot