scraping.spider.search
Web search that returns page titles, descriptions, and URLs. Combine with spider.scrape to get full content. Results ranked by relevance (Spider.cloud)
This record as markdown: /tools/io-github-whiteknightonhorse-apibase/scraping.spider.search.md
What scraping.spider.search does on Apibase
AI agents call scraping.spider.search to retrieve information from Apibase 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 |
|---|---|---|---|
limit | integer | — | Max results (1-20, default 5) |
query | string | Yes | Web search query (e.g. "best MCP servers 2026") |
Parameters from the server's own tool schema.
Why scraping.spider.search is rated Low
Retrieves and returns search results without modifying data or executing actions.
From the tool's definition Web search that returns page titles, descriptions, and URLs.
Attacks that exploit this kind of access
The rule that runs scraping.spider.search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Apibase, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scraping.spider.search, this is the rule to start with:
scraping.spider.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 Apibase, apply this rule, and every scraping.spider.search call is checked against it from then on.
Questions about scraping.spider.search
Web search that returns page titles, descriptions, and URLs. Combine with spider.scrape to get full content. Results ranked by relevance (Spider.cloud). It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.
scraping.spider.search accepts 2 parameters: limit, query. Required: query. The full parameter table on this page comes from the server's own tool schema.
Register the Apibase MCP server in PolicyLayer and add a rule for scraping.spider.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 Apibase. Nothing to install.
scraping.spider.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 scraping.spider.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 scraping.spider.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.
scraping.spider.search is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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