scrapling_extract
Extract structured data from a URL using CSS or XPath selectors. Zero LLM tokens — deterministic extraction. Use CSS selectors like
This record as markdown: /tools/io-github-homenshum-nodebench/scrapling-extract.md
What scrapling_extract does on Nodebench
AI agents call scrapling_extract to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why scrapling_extract is rated Low
This tool retrieves and parses data from web pages using CSS/XPath selectors. It has Read semantics (no side effects on target systems). Severity is medium rather than low because web scraping can be misused to harvest sensitive data at scale, circumvent access controls, or violate terms of service, posing reputational and legal risks if an AI agent scrapes private or protected content without authorization.
From the tool's definition Tool description states 'Extract structured data from a URL' — a retrieval operation. No modification, deletion, or code execution is implied. The selector-based extraction is deterministic and read-only.
Attacks that exploit this kind of access
The rule that runs scrapling_extract safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scrapling_extract, this is the rule to start with:
scrapling_extract 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 Nodebench, apply this rule, and every scrapling_extract call is checked against it from then on.
Questions about scrapling_extract
Extract structured data from a URL using CSS or XPath selectors. Zero LLM tokens — deterministic extraction. Use CSS selectors like. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for scrapling_extract: 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 Nodebench. Nothing to install.
scrapling_extract 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 scrapling_extract 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 scrapling_extract. 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.
scrapling_extract is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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