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
Even though datasets_airbnb_search only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
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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