← Back to Skills Marketplace
Scrapingdog
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
136
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install scrapingdog
Description
ScrapingDog integration. Manage data, records, and automate workflows. Use when the user wants to interact with ScrapingDog data.
Usage Guidance
This skill uses Membrane as a proxy to talk to ScrapingDog, so installing the Membrane CLI (npm -g) and logging into a Membrane account are required. Before installing: 1) Verify you trust getmembrane.com and the @membranehq npm package (check the npm page and GitHub repo/commit history). 2) Understand that your scraping requests and any returned data will transit Membrane servers (privacy/compliance implication). 3) Prefer using npx or a scoped install if you want to avoid a global npm install. 4) Be cautious about running commands that perform interactive logins in headless or shared environments; tokens will be stored locally by the CLI. If any of this is unacceptable, ask for a connector that uses direct ScrapingDog credentials (and review what credentials are required) or request more metadata from the skill author.
Capability Analysis
Type: OpenClaw Skill
Name: scrapingdog
Version: 1.0.3
The skill bundle provides instructions for an AI agent to integrate with ScrapingDog via the Membrane CLI. The instructions in SKILL.md focus on standard CLI operations such as installation, authentication, and action management. It promotes security best practices by delegating credential management to the Membrane platform rather than handling raw API keys locally. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
The skill claims to be a 'ScrapingDog' integration and its SKILL.md shows exactly that, but it operates exclusively through the Membrane platform (getmembrane.com). Requiring a Membrane account and CLI is reasonable for a proxy-style integration, however the top-level metadata does not explicitly state the requirement for a Membrane account/CLI — this could be surprising to users who expect a direct ScrapingDog integration.
Instruction Scope
The runtime instructions are limited to installing/using the Membrane CLI, authenticating via browser/code, creating a connector for ScrapingDog, discovering actions, and running actions. The instructions do not request unrelated files, environment variables, or system-wide configuration beyond installing the CLI and performing an interactive login. They do imply traffic and data will flow through Membrane's servers.
Install Mechanism
The only install step is 'npm install -g @membranehq/cli@latest' (or use npx in examples). Using an npm package is expected for a CLI but has supply-chain risk compared with a pure instruction-only skill; installing globally writes to the system PATH. The origin (@membranehq on npm and the provided homepage/repo) looks consistent, but users should verify the package and its publisher before global install.
Credentials
The skill declares no required environment variables or primary credential, and the CLI-based flow avoids asking for API keys. That is proportionate, but the SKILL.md requires a Membrane account and will cause credentials/tokens to be issued and stored by the CLI (not declared in metadata). Users should be aware their ScrapingDog interactions and possibly scraped data will be proxied through Membrane's service.
Persistence & Privilege
The skill does not request always:true or other elevated platform privileges. It is user-invocable and can be invoked autonomously (platform default), which is expected. The skill's instructions cause local CLI installation and storage of auth tokens by the Membrane CLI (normal for a CLI tool) but do not request access to other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scrapingdog - After installation, invoke the skill by name or use
/scrapingdog - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Frequently Asked Questions
What is Scrapingdog?
ScrapingDog integration. Manage data, records, and automate workflows. Use when the user wants to interact with ScrapingDog data. It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.
How do I install Scrapingdog?
Run "/install scrapingdog" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Scrapingdog free?
Yes, Scrapingdog is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Scrapingdog support?
Scrapingdog is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Scrapingdog?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
More Skills