Expedia Reviews Scraper
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Pay per usage
Expedia Reviews Scraper
Under maintenanceScrape Expedia hotel reviews, ratings & guest feedback at scale. Extract review text, scores, dates, themes and management responses as structured JSON/CSV/Excel — no login or API key. Great for sentiment analysis, reputation monitoring and competitive research.
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Pay per usage
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valiant quarter
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Expedia Reviews Scraper 🏨⭐
Scrape Expedia hotel reviews, ratings and guest feedback at scale — no login, no API key. Just paste an Expedia hotel URL and export clean, structured review data (JSON, CSV, Excel) for competitive analysis, sentiment analysis, reputation monitoring and market research.
This Expedia review scraper extracts every review the hotel page exposes — review text, guest score, reviewer name, stay date, review themes and the hotel's management responses — and hands it back to you as a ready-to-use dataset.
✨ What this Expedia scraper does
- ⭐ Scrapes hotel reviews from Expedia by property URL or hotel ID
- 📝 Extracts review text, rating/score, reviewer, date, language and themes
- 💬 Captures management (owner) responses to each review
- 🔢 Reads the property's overall score and total review count
- 🔀 Optional sort order (newest, highest rated, lowest rated)
- 📦 Outputs structured JSON / CSV / Excel / HTML via the Apify dataset
- 🤖 Bypasses Expedia's Akamai bot protection with a real browser + fingerprint rotation
💡 Use cases
- Hotel reputation monitoring — track new guest reviews and scores over time
- Sentiment analysis — feed review text into an NLP/LLM model
- Competitive analysis — compare guest feedback across competing hotels
- Market research — understand what travelers praise or complain about
- Review aggregation — combine Expedia reviews with other OTA sources
🚀 How to scrape Expedia reviews (step by step)
- Open the hotel on Expedia, e.g.
https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information. - Paste that URL into the Expedia hotel URL field.
- Set Maximum reviews and (optionally) a sort order.
- Click Start and download the results from the dataset.
⚙️ Input
| Field | Type | Description |
|---|---|---|
hotelUrl | string | Full Expedia hotel URL. |
hotelId | string | Optional. Numeric Expedia property id (e.g. 438504). Overrides the URL id. |
maxReviews | integer | Stop after this many reviews. Default 20. |
maxReviewPages | integer | Cap on review pages (10 each). Default 8. |
sortOrder | enum | DEFAULT, NEWEST_TO_OLDEST, HIGHEST_TO_LOWEST_RATED, LOWEST_TO_HIGHEST_RATED. |
proxyConfiguration | object | Proxy settings. Residential proxies recommended (see Reliability). |
Example input
{"hotelUrl": "https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information","maxReviews": 50,"sortOrder": "NEWEST_TO_OLDEST","proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }}
📤 Output
Each dataset item is a single review:
{"hotelId": "438504","hotelName": "London Heathrow Marriott Hotel","hotelUrl": "https://www.expedia.com/London-Hotels-London-Heathrow-Marriott-Hotel.h438504.Hotel-Information","reviewId": "6a2c799d489ecd5380815f14","title": null,"text": "Loved how close to the airport it was, the staff were super lovely and the rooms were clean and spacious.","score": 10,"scoreMax": 10,"scoreLabel": "Excellent","scoreText": "10/10 Excellent","author": "Emma","submissionTime": "Jun 12, 2026","locale": "en_AU","managementResponses": [{"header": "Response from Cristal Balladares on Jun 15, 2026","response": "Dear Emma, thank you for your review..."}],"themes": ["Liked: Cleanliness, staff & service, amenities, property conditions & facilities"]}
Output fields
| Field | Description |
|---|---|
hotelId, hotelName, hotelUrl | Property the review belongs to |
reviewId | Expedia's unique review id |
text | Full review text |
score, scoreMax, scoreLabel, scoreText | Guest rating, e.g. 10 / 10 Excellent |
author | Reviewer display name |
submissionTime | When the review was posted |
locale | Reviewer language/locale |
managementResponses | Hotel/owner replies to the review |
themes | Expedia review theme tags (cleanliness, staff, amenities, …) |
🔌 Integrations & export
Results are stored in an Apify dataset, so you can export to JSON, CSV, Excel, HTML or XML, or push them to Google Sheets, Slack, Zapier, Make, a webhook or your own database via Apify Integrations and the API.
🛡️ How it works & reliability
Expedia is protected by Akamai Bot Manager. This actor loads each hotel page in a real Chromium browser with rotating fingerprints, waits for the anti-bot challenge to resolve, and reads reviews directly from the property's own review data — a robust approach that survives Expedia's frequent front-end changes.
For reliable, high-volume scraping use Apify Residential proxies. Datacenter IPs are almost always blocked by Expedia. Without residential proxies the actor still rotates fingerprints and can succeed on clean IPs, but results are intermittent — simply re-run if a run reports a bot-protection block.
❓ FAQ
Do I need an Expedia account or API key? No. Just a public hotel URL.
How many reviews can I scrape? Set maxReviews. Reaching hundreds of reviews reliably
requires residential proxies.
Which fields are returned? Review text, score, reviewer, date, locale, themes and management responses — see the Output section.
Can I sort reviews? Yes — newest first, highest or lowest rated.
Is scraping Expedia reviews legal? This actor collects only publicly available review data. You are responsible for using scraped data in line with Expedia's terms and applicable laws (e.g. GDPR). Do not scrape personal data you are not entitled to process.
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