Airbnb Reviews Scraper

What does Airbnb Reviews Scraper do?

Airbnb Reviews Scraper collects guest reviews from an Airbnb listing and returns them as a structured dataset. Give it a room URL or a property ID, set how many reviews you want, and it saves review text, ratings, dates, reviewer details, host responses, and photo URLs.

The Actor is built for hosts, property managers, market researchers, and analysts who need review data in a spreadsheet, database, or dashboard without copying reviews by hand.

Why use Airbnb Reviews Scraper?

• Review monitoring: Track new guest feedback and rating changes for a listing over time.
• Competitor research: Compare review volume, ratings, and recurring complaints across competing properties.
• Guest sentiment analysis: Feed review text into a sentiment model, a BI tool, or an AI pipeline.
• Host response tracking: See which reviews have a host response and which do not.
• Repeatable runs: Schedule the Actor to refresh a dataset daily, weekly, or monthly.
• Direct exports: Download results as JSON, CSV, Excel, XML, or HTML from the Apify dataset.

What data can you extract from Airbnb reviews?

Field	Description
property_id	Numeric Airbnb listing ID
property_url	Room URL for the listing
review_id	Unique review ID
comments	Review text as published
localized_comment	Localized or translated review text when available
created_at	Review creation timestamp
localized_date	Human-readable review date
rating	Star rating for the review
language	Review language code
response	Host response text when the host replied
reviewer_first_name	Reviewer first name
reviewer_location	Reviewer location or tenure label
review_photo_urls	Photos attached to the review
room_type_listing_title	Room or unit name associated with the review
search_context	URL or property ID used for the run
fetched_at	Timestamp for when the record was saved

The dataset also includes reviewer, reviewee, and responder IDs and profile photo URLs, plus review highlight and subtitle fields when Airbnb provides them.

How to use Airbnb Reviews Scraper

1. Open the Actor on Apify Store.
2. Paste an Airbnb room URL or enter a numeric property ID.
3. Set results_wanted and, if needed, max_pages.
4. Start the run.
5. Open the dataset to preview, download, or connect the results to another tool.

Provide either url or propertyId. If both are present, propertyId wins. If neither is present, the Actor uses the test listing configured as the URL default.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	https://www.airbnb.com/rooms/894121952750427608	Room URL. Messy URLs with tracking parameters are supported.
propertyId	String	No	-	Numeric ID, or a StayListing, DemandStayListing, or base64 global ID. Takes priority over url.
results_wanted	Integer	No	20	Maximum number of reviews to save.
max_pages	Integer	No	5	Safety cap on review pages.
proxyConfiguration	Object	No	{}	Apify Proxy or custom proxy URLs for repeated or high-volume runs.

Output Data

Field	Type	Description
property_id	String	Numeric Airbnb listing ID
property_url	String	Direct room URL
review_id	String	Unique review ID
comments	String	Review text as published
localized_comment	String	Localized or translated review text
created_at	String	Review creation timestamp in ISO format
localized_date	String	Human-readable review date
localized_responded_date	String	Date shown for the host response
language	String	Review language code
rating	Number	Star rating
rating_accessibility_label	String	Screen-reader label for the rating
response	String	Host response text
reviewer_id	String	Reviewer user ID
reviewer_first_name	String	Reviewer first name
reviewer_picture_url	String	Reviewer profile photo URL
reviewer_location	String	Reviewer location or tenure label
reviewee_id	String	Host user ID
reviewee_first_name	String	Host first name
reviewee_picture_url	String	Host profile photo URL
responder_id	String	Responder user ID when separate from the host
responder_first_name	String	Responder first name
review_photo_urls	Array	Photo URLs attached to the review
room_type_listing_id	String	Room or unit listing ID
room_type_listing_title	String	Room or unit title
highlight_type	String	Review highlight category
review_highlight	String	Short review highlight text
subtitle_items	Array	Extra review badges or labels
channel	String	Review channel when provided
search_context	String	URL or property ID used for the run
fetched_at	String	Timestamp for when the record was saved

Empty values are omitted from each record, so a review without a host response does not include a response key.

Usage Examples

Collect reviews from a room URL

This run saves up to 50 reviews from one listing:

{
    "url": "https://www.airbnb.com/rooms/894121952750427608",
    "results_wanted": 50,
    "max_pages": 3
}

Use a property ID

This run uses a numeric ID and saves up to 100 reviews:

{
    "propertyId": "894121952750427608",
    "results_wanted": 100,
    "max_pages": 5
}

Run with Apify Proxy

This run enables residential proxy for repeated high-volume collection:

{
    "url": "https://www.airbnb.com/rooms/894121952750427608",
    "results_wanted": 200,
    "max_pages": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Sample Output

{
    "property_id": "894121952750427608",
    "property_url": "https://www.airbnb.com/rooms/894121952750427608",
    "review_id": "1778320000688776861",
    "comments": "Very good communication, clean and cozy place, everything according to the description",
    "localized_comment": "Very good communication, clean and cozy place, everything according to the description",
    "created_at": "2026-09-19T14:44:23Z",
    "localized_date": "September 2026",
    "language": "en",
    "rating": 5,
    "rating_accessibility_label": "Rating, 5 stars",
    "reviewer_id": "412069196",
    "reviewer_first_name": "Dorota",
    "reviewer_picture_url": "https://a0.muscache.com/im/Portrait/Avatars/v2/blue?im_w=240&im_t=D&im_s=86&im_f=AirbnbCerealLatinMedium.ttf&im_c=0d4daa&script=latin",
    "reviewer_location": "5 years on Airbnb",
    "reviewee_id": "2814730",
    "reviewee_first_name": "Jennifer",
    "reviewee_picture_url": "https://a0.muscache.com/im/pictures/user/bd298a4a-a9a8-460f-b5b1-702925c2aa9c.jpg",
    "search_context": "https://www.airbnb.com/rooms/894121952750427608",
    "fetched_at": "2026-10-26T17:08:19.372Z"
}

Tips for Best Results

• Use the room URL from a browser address bar. Tracking parameters do not break the input.
• Start with 20 to 50 reviews to confirm the listing and the dataset shape.
• Set max_pages high enough for your target. Each page holds up to 24 reviews.
• Keep results_wanted as the hard limit for the dataset. The Actor stops as soon as it reaches that count.
• Enable Apify Proxy for frequent runs or large review volumes. A separate network identity per run reduces interruptions.
• Check the dataset preview before scheduling a long run.

Integrations

• Google Sheets: Send new reviews to a sheet for tracking and sharing.
• Webhooks: Trigger a workflow after each successful run.
• Make or Zapier: Connect review data to no-code automations.
• BI tools: Load the dataset into Looker Studio, Power BI, or Tableau.
• AI pipelines: Use review text for sentiment, topic clustering, or retrieval.

Export Formats

• JSON: For applications and data pipelines.
• CSV: For spreadsheet analysis.
• Excel: For reporting and sharing.
• XML: For systems that require XML input.
• HTML: For a quick readable table.

Frequently Asked Questions

Can I collect reviews with only a property ID?

Yes. Enter the numeric listing ID in propertyId. The Actor also accepts StayListing:<id>, DemandStayListing:<id>, and base64 global IDs.

How many reviews can one run collect?

The Actor can collect every review that Airbnb exposes for the listing, up to results_wanted and max_pages. Set both values high enough for the listing.

Why are some fields missing from a review?

Airbnb does not publish every field for every review. A review without a host response has no response field, and a reviewer without a photo has no reviewer_picture_url. The Actor leaves those keys out instead of writing empty values.

Can I run the Actor on a schedule?

Yes. Apify Console supports hourly, daily, weekly, and custom schedules. Scheduled runs keep a review dataset current without manual work.

Can I export the dataset to CSV or Excel?

Yes. Open the dataset in Apify Console and download it as CSV, Excel, JSON, XML, or HTML. You can also read it through the Apify API.

Does the Actor work with long URLs that contain tracking parameters?

Yes. The Actor reads the room ID from the URL and ignores extra query parameters.

What happens when Airbnb changes its review endpoint?

The Actor reloads the listing page and retries before it reports a failure. When Airbnb changes the data behind a listing, the Actor refreshes the values it needs to read the reviews and continues the run.

Is it legal to collect Airbnb review data?

Collecting public review data can be legal, but you are responsible for complying with applicable laws, Airbnb's terms, and privacy rules in your jurisdiction. Do not use the data to identify or contact reviewers without a lawful basis.

Related Actors

• Propertyfinder Scraper: Collect property listings from Propertyfinder.ae for sales and rental research.
• Apify Store Scraper: Extract Apify Store actor listings and metadata for marketplace research.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate collection of publicly available data. Users are responsible for using the data responsibly and complying with applicable laws, platform terms, and usage limits.