Scrapingdog

ScrapingDog integration. Manage data, records, and automate workflows. Use when the user wants to interact with ScrapingDog data.

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.

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.