Go to example tasks![Expedia Scraper [$2๐ฐ] | Reviews | Hotels.com](https://images.apifyusercontent.com/BIaHrkQnmvzZj-esnhjV9-5TpFu0myy7GBgEyChV7-c/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZHRSN3FuVGJRck5pU0NtajctYWN0b3ItTGJCS1hTNVhtbVY4bURCQk8tQ3dFelNtMndPTS1leHBlZGlhLnBuZw.webp)
Build Expedia Review Sentiment Analysis Dataset
![Expedia Scraper [$2๐ฐ] | Reviews | Hotels.com](/_next/image?url=https%3A%2F%2Fimages.apifyusercontent.com%2FBIaHrkQnmvzZj-esnhjV9-5TpFu0myy7GBgEyChV7-c%2Frs%3Afill%3A250%3A250%2Fcb%3A1%2FaHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vZHRSN3FuVGJRck5pU0NtajctYWN0b3ItTGJCS1hTNVhtbVY4bURCQk8tQ3dFelNtMndPTS1leHBlZGlhLnBuZw.webp&w=3840&q=75){kind=small}
Collect Expedia and Hotels.com guest reviews with liked/disliked sentiments into a structured dataset for NLP, ML model training, or chatbot training. Extract review text, ratings, sentiments, and traveler context at scale.
Expedia Scraper [$2๐ฐ] | Reviews | Hotels.comahmed_jasarevic/expedia-reviews-scraper
Provider
Row type
Property ID
Property
+14 fieldsTextNumberBooleanListObject
Input
Start URLs / property IDs
url:https://www.expedia.com/London-Hotels.h196459.Hotel-Information+2
Max reviews per URL:1000
Review sort order:newest
Output fields
Provider
Row type
Property ID
Property
Review ID
Date
Rating
Title
Review
Author
Trip type
Traveled with
Sentiments
Photos
Management response
Property rating
Property reviews
Source URL
Sign up on Apify01
Create your Apify account to access the Expedia Scraper [$2๐ฐ] | Reviews | Hotels.com.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
