datasets_airbnb_search
Search the Airbnb markets dataset. Returns aggregate Airbnb short-term-rental market rollups from the dataset id enum value airbnb-markets. Aggregate-only: each row is a market cell, never an individual listing. Thin cells are suppressed. group_by enum: country, market, admin1 (top subdivision), ...
This record as markdown: /tools/crawlora-mcp/datasets-airbnb-search.md
What datasets_airbnb_search does on Crawlora
AI agents call datasets_airbnb_search to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
page | integer | — | Page number, defaults to 1 |
sort | string | — | Sort enum: listings_desc, superhost_pct_desc, rating_desc, key_asc |
market | string | — | Exact metro-market filter, e.g. Paris, max 128 characters |
country | string | — | Exact ISO-3166-1 alpha-2 country filter, e.g. FR |
group_by | string | — | Aggregate cell dimension enum: country, market, admin1, locality, room_type, property_type. Defaults to country |
page_size | integer | — | Page size, defaults to 20 and maxes at 100; page * page_size must be <= 10000 |
superhost | boolean | — | Count only Superhost listings |
min_rating | number | — | Minimum listing rating, from 0 through 5 |
active_since | string | — | Freshness filter, an ISO-8601 date (YYYY-MM-DD); only listings last seen on or after it are counted |
min_listings | integer | — | Minimum listings per cell; raises the small-cell suppression floor (never lowered below the built-in minimum) |
guest_favorite | boolean | — | Count only Guest Favorite listings (an observed lower bound; the badge under-counts) |
min_review_count | integer | — | Minimum listing review count, 0 or greater |
Parameters from the server's own tool schema.
Why datasets_airbnb_search is rated Low
This is a data retrieval and search tool that queries an aggregate dataset and returns market analytics. It has no side effects, does not modify data, and does not execute code or trigger external operations.
From the tool's definition Tool description states it 'Search[es] the Airbnb markets dataset' and 'Returns aggregate Airbnb short-term-rental market rollups.' The tool performs querying and retrieval operations with group_by parameters for filtering, with no modification, deletion, or…
Risk signalsHigh parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs datasets_airbnb_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For datasets_airbnb_search, this is the rule to start with:
datasets_airbnb_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every datasets_airbnb_search call is checked against it from then on.
Questions about datasets_airbnb_search
Search the Airbnb markets dataset. Returns aggregate Airbnb short-term-rental market rollups from the dataset id enum value airbnb-markets. Aggregate-only: each row is a market cell, never an individual listing. Thin cells are suppressed. group_by enum: country, market, admin1 (top subdivision), locality (settlement), room_type (entire_place/private_room/hotel/shared_room), property_type (Airbnb's canonical listing type from the detail page). admin1, locality, room_type and property_type are enrichment-derived and stay empty until their coverage is high enough to be reliable. Each cell also carries median_price_usd, the median nightly price converted to USD via an approximate dated FX snapshot, for cross-country comparison (combine with group_by=room_type for median price by room type); guest_favorite_pct, the share of listings carrying the Guest Favorite badge (an observed lower bound, like superhost_pct); and avg_person_capacity, the average guests a listing sleeps over the detail-page-enriched sample. Sort enum: listings_desc, superhost_pct_desc, rating_desc, key_asc. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_airbnb_search accepts 12 parameters: page, sort, market, country, group_by, page_size, superhost, min_rating, active_since, min_listings, guest_favorite, min_review_count. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for datasets_airbnb_search: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Crawlora. Nothing to install.
datasets_airbnb_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the datasets_airbnb_search rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for datasets_airbnb_search. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
datasets_airbnb_search is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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