datasets_airbnb_nearby
Airbnb market density near a coordinate. Returns an aggregate geohash-grid density map of Airbnb listings within a radius of a coordinate, from dataset id enum value airbnb-markets. Each cell reports a centroid, listing count and Superhost share; thin cells are suppressed. Aggregate-only.
This record as markdown: /tools/crawlora-mcp/datasets-airbnb-nearby.md
What datasets_airbnb_nearby does on Crawlora
AI agents call datasets_airbnb_nearby 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 |
|---|---|---|---|
lat | number | Yes | Center latitude, from -90 through 90 |
lon | number | Yes | Center longitude, from -180 through 180 |
country | string | — | Exact ISO-3166-1 alpha-2 country filter, e.g. US |
radius_m | integer | Yes | Search radius in meters, from 1 through 50000 |
precision | integer | — | Geohash precision, from 1 through 12; defaults to a value derived from the radius |
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) |
min_listings | integer | — | Minimum listings per cell; raises the small-cell suppression floor |
Parameters from the server's own tool schema.
Why datasets_airbnb_nearby is rated Low
Even though datasets_airbnb_nearby 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.
Attacks that exploit this kind of access
The rule that runs datasets_airbnb_nearby 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_nearby, this is the rule to start with:
datasets_airbnb_nearby 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_nearby call is checked against it from then on.
Questions about datasets_airbnb_nearby
Airbnb market density near a coordinate. Returns an aggregate geohash-grid density map of Airbnb listings within a radius of a coordinate, from dataset id enum value airbnb-markets. Each cell reports a centroid, listing count and Superhost share; thin cells are suppressed. Aggregate-only. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_airbnb_nearby accepts 9 parameters: lat, lon, country, radius_m, precision, superhost, min_rating, active_since, min_listings. Required: lat, lon, radius_m. 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_nearby: 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_nearby 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_nearby 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_nearby. 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_nearby 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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