Expedia Vrbo & Hotels.com reviews scraper

Expedia Vrbo & Hotels.com reviews scraper

by tri_angle

Scraper to get reviews from URLs of hotels, apartments, and other accommodations listed on Expedia.com and Vrbo.com and Hotels.com portals

829,165 runs
425 users
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Opens on Apify.com

About Expedia Vrbo & Hotels.com reviews scraper

Scraper to get reviews from URLs of hotels, apartments, and other accommodations listed on Expedia.com and Vrbo.com and Hotels.com portals

What does this actor do?

Expedia Vrbo & Hotels.com reviews scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Expedia / Hotels.com reviews scraper This is a simple scraper to get reviews from URLs hotels, apartments and other accommodations listed on Expedia.com and Hotels.com portals. For each hotel, input a link to the hotel detail page, which will look something like this: raw https://www.expedia.com/Prague-Hotels-Pentahotel-Prague.h525006.Hotel-Information?chkin=2023-03-17&chkout=2023-03-18&x_pwa=1&rfrr=HSR&pwa_ts=1677850168323&sort=RECOMMENDED&top_dp=82&top_cur=USD&userIntent= https://www.hotels.com/ho136900/hilton-prague-old-town-prague-czech-republic/?pwaDialogNested=PropertyDetailsReviewsBreakdownDialog https://www.expedia.it/en/Berchtesgaden-Hotels-Alpensport-Hotel-Seimler.h2692552.Hotel-Information Additionally, you can click on the "Advanced" button in the URL input field and provide any userData. Everything provided here will be available on each review as customData, to allow later easy identification of which review belongs to which hotel. You will get raw review data, so individual reviews will look something like this: json { "contentDirectFeedbackPromptId": null, "id": "123456789abcdef", "superlative": "Excellent", "locale": "en_GB", "title": "", "brandType": "Expedia", "reviewScoreWithDescription": { "label": "10 out of 10 Excellent", "value": "10/10 Excellent" }, "text": "Excellent location and value for money. Great service. Clean. ", "seeMoreAnalytics": { "linkName": "See more reviews", "referrerId": "HOT.HIS.See_more." }, "submissionTime": { "longDateFormat": "Apr 15, 2022" }, "impressionAnalytics": null, "themes": [ { "icon": { "id": "sentiment_4" }, "label": "Liked: Cleanliness, staff & service, amenities, property conditions & facilities" } ], "reviewFooter": { "messages": [ { "seoStructuredData": { "itemscope": true, "itemprop": "author", "itemtype": "https://schema.org/Person", "content": "John" }, "text": { "text": "Stayed 1 night in Apr 2022" } } ] }, "reviewInteractionSections": [ { "primaryDisplayString": "0", "accessibilityLabel": "Mark review 3 as helpful. 0 other users found review 3 helpful.", "reviewInteractionType": "HELPFUL_REVIEW", "feedbackAnalytics": { "linkName": "Helpful review", "referrerId": "HOT.HIS.ReviewsOverlay.THUMB_UP.UPVOTE" } }, { "primaryDisplayString": null, "accessibilityLabel": null, "reviewInteractionType": "REVIEW_REPORT_FLAG", "feedbackAnalytics": null } ], "reviewAuthorAttribution": { "text": "John" }, "photoSection": null, "photos": [], "travelers": ["Traveled with family"], "translationInfo": null, "propertyReviewSource": null, "reviewRegion": null, "managementResponses": [ { "id": "3b23cd4c-ac5c-42a7-91f2-89b8d8dec7e2", "header": { "text": "Response from Jane on Apr 19, 2022" }, "response": "Thank you so much, we appreciate it a lot!" } ], "hotelId": "123456", "customData": { "userDataKey1": "your custom data here", "userDataKey2": ["arbitrary JSON data can be here"] } } Actor icon attribution: Condominium icons created by Uniconlabs - Flaticon

Categories

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

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Actor Information

Developer
tri_angle
Pricing
Paid
Total Runs
829,165
Active Users
425
Apify Platform

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