Airbnb Reviews Scraper

Extract Airbnb stay reviews at scale using room URLs or property IDs. Build clean datasets with reviewer details, ratings, comment text, host responses, and timestamps for analytics, market research, and reputation monitoring.

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Features

• Simple input mode — Run by Airbnb room URL or direct property ID.
• Messy ID handling — Accepts numeric IDs, room links with query strings, and global ID formats.
• Review pagination — Collects reviews across multiple pages until your target is reached.
• Null-free dataset output — Excludes empty fields to keep data clean and analysis-ready.
• Auto-healing API context — Refreshes Airbnb API key and persisted hash automatically when required.

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Use Cases

Hospitality Reputation Monitoring

Track guest sentiment, ratings, and recurring feedback points across one or multiple properties.

Competitor Benchmarking

Collect review quality signals for competing listings in the same destination.

Product and Service Improvements

Analyze repeated complaints and praise themes to improve stay quality and guest experience.

Review Intelligence Workflows

Feed clean review data into dashboards, BI pipelines, LLM summarization tools, or CRM automations.

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Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	"https://www.airbnb.com/rooms/894121952750427608"	Preferred input. Airbnb room URL (messy query strings are supported).
propertyId	String	No	"894121952750427608"	Direct property ID. Supports numeric and global ID formats.
results_wanted	Integer	No	20	Maximum number of review records to save.
max_pages	Integer	No	5	Safety cap for pagination loops.
proxyConfiguration	Object	No	Residential Apify Proxy	Proxy settings for reliability and stability.

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Output Data

Each dataset item contains available review metadata without empty/null values.

Field	Type	Description
property_id	String	Airbnb property numeric identifier.
property_url	String	Airbnb room URL.
review_id	String	Unique review identifier.
created_at	String	Original review timestamp.
localized_date	String	Human-readable review date.
rating	Number	Review rating value.
language	String	Review language.
comments	String	Original review text.
localized_comment	String	Localized/transformed review text when available.
response	String	Host response text.
reviewer_first_name	String	Reviewer first name.
reviewer_location	String	Reviewer location text.
search_context	String	URL or property ID context used in the run.
fetched_at	String	Extraction timestamp.

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Usage Examples

Room URL Input

{
	"url": "https://www.airbnb.com/rooms/894121952750427608",
	"results_wanted": 20,
	"max_pages": 5
}

Property ID Input

{
	"propertyId": "894121952750427608",
	"results_wanted": 50,
	"max_pages": 8
}

Proxy Configuration

{
	"url": "https://www.airbnb.com/rooms/894121952750427608",
	"results_wanted": 20,
	"proxyConfiguration": {
		"useApifyProxy": true,
		"apifyProxyGroups": ["RESIDENTIAL"]
	}
}

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Sample Output

{
	"property_id": "894121952750427608",
	"property_url": "https://www.airbnb.com/rooms/894121952750427608",
	"review_id": "1260917197138451137",
	"created_at": "2024-08-19T21:06:42.000Z",
	"localized_date": "August 2024",
	"rating": 5,
	"language": "en",
	"comments": "Very responsive host and great location.",
	"localized_comment": "Very responsive host and great location.",
	"reviewer_first_name": "Olivia",
	"reviewer_location": "Toronto, Canada",
	"search_context": "https://www.airbnb.com/rooms/894121952750427608",
	"fetched_at": "2026-04-22T11:34:08.120Z"
}

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Tips For Best Results

Prioritize Direct Property Inputs

Use url or propertyId whenever possible for the fastest and most deterministic collection.

Keep Test Runs Small

Start with results_wanted: 20 during validation, then increase for production jobs.

Enable Residential Proxy

For stable long runs and reduced blocking risk, keep residential proxy enabled.

Use URL Or Property ID

This actor is optimized for single-property review extraction from direct room URLs and property IDs.

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Integrations

• Google Sheets — Build review trackers and sentiment dashboards.
• Airtable — Create searchable review intelligence databases.
• Looker Studio / BI tools — Visualize rating and sentiment trends.
• Make / Zapier — Trigger workflows from fresh review datasets.
• Webhooks — Push output to your own API or internal systems.

Export Formats

• JSON — For APIs and programmatic pipelines.
• CSV — For spreadsheet and analyst workflows.
• Excel — For business reporting.
• XML — For compatible legacy systems.

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Frequently Asked Questions

Can I run with only a property ID?

Yes. A numeric property ID is fully supported.

Does it self-heal if Airbnb changes key/hash values?

Yes. The actor auto-refreshes bootstrap API key and persisted operation hash at runtime.

What happens if some review fields are missing?

Missing/empty fields are excluded from output records automatically.

Can I scrape more than one page of reviews?

Yes. Use max_pages and results_wanted to control pagination depth.

Will this work with long, messy room URLs?

Yes. URLs with extra tracking parameters and query strings are supported.

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Support

For issues, improvements, or feature requests, open a ticket via Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection and analysis workflows. Users are responsible for complying with applicable laws, platform terms, and usage limits.