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Airbnb Guest Review Sentiment Analysis

Analyze Airbnb ratings, guest comments, reviewer details, and review data to identify customer sentiment, recurring themes, satisfaction drivers, and potential issues in guest experiences.

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Airbnb Reviews Scraper - Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ ๐Ÿ”ด
Airbnb Reviews Scraper - Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ ๐Ÿ”ดdelectable_incubator/airbnb-reviews-scraper-low-cost
ID Comment
Full Comment Text
Language
Created At
+8 fields
Text
Number
Boolean
List
Object

Input

Airbnb Room IDs or URLs(required):16155322
Max Reviews per Room:150

Output fields

ID Comment
Full Comment Text
Language
Created At
Localized Date
Rating
Reviewer First Name
Reviewer ID
Reviewee Picture
Reviewee Is Superhost
Review Highlight
Highlight Type

How it works

Sign up on Apify or log in

The Airbnb Reviews Scraper - Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ ๐Ÿ”ด Actor is ready to run with the inputs already set for "Airbnb Guest Review Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Airbnb Guest Review Sentiment Analysis" task

The Airbnb Reviews Scraper - Low-cost๐Ÿ’ฒ๐Ÿ”ฅ๐Ÿ ๐Ÿ”ด Actor will start running based on the input automatically. You can also change all the input fields, like airbnb room ids or urls and max reviews per room, to match your specific use case.

Receive the "Airbnb Guest Review Sentiment Analysis" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ID Comment, full comment text, language, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Airbnb Guest Review Sentiment Analysis" task via API.

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Integrate "Airbnb Guest Review Sentiment Analysis" into your workflow

Connect "Airbnb Guest Review Sentiment Analysis" with 100+ integrations, or run it via API or MCP.

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