A powerful integration for automating web data extraction and managing scraping workflows through a unified agent interface.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install scraptio
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install scraptio using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Scraptio skill for Openclaw Skills enables developers and data analysts to harness professional-grade web scraping capabilities directly within their AI agent workflows. By leveraging the Membrane framework, this skill simplifies the complexities of web-based data extraction, allowing for the seamless management of organizations, extraction rules, and automated schedules without the overhead of manual authentication plumbing.
This integration serves as a bridge between high-level AI reasoning and the technical precision of Scraptio. Whether you are building a competitive intelligence engine or a research assistant, this skill provides the structured access needed to turn websites into queryable data sources.
membrane login command, supporting both interactive and headless environments.First, ensure the Membrane CLI is installed globally:
npm install -g @membranehq/cli@latest
Log in to your account and specify your agent type to optimize Openclaw Skills performance:
membrane login --tenant --clientName=openclaw
Create a connection to the Scraptio platform:
membrane connection ensure "https://scraptio.com/" --json
The Scraptio skill organizes data around several core entities and utilizes a structured metadata taxonomy for efficiency:
| Entity | Description |
|---|---|
| Extraction Rules | Definitions and logic for how data should be parsed from a target URL. |
| Schedules | Cron-like configurations for recurring scraping tasks. |
| Scraped Data | The raw and processed output from successful extraction runs. |
| Input/Output Schema | Standardized JSON structures for parameters and return values, ensuring compatibility across Openclaw Skills. |
--json flags to facilitate multi-agent data passing and automation.Loading
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