✓ Verified 🌐 Web Scrapers

Yr No Weather

Fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API.

Rating: 4.9 (198 reviews)
Downloads: 5,252 downloads
Version: 1.0.0

Overview

Fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API.

Why Choose This Skill

Yr No Weather is a verified web scrapers skill for OpenClaw that fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API. It has been verified by the OpenClaw team, ensuring it meets quality and safety standards before deployment in production environments. This skill specializes in browser automation, API integration, making it a practical choice for teams looking to automate web scrapers workflows. Trusted by 5,252 users, it has proven reliable across diverse automation scenarios. Users consistently rate it 4.9/5, highlighting its reliability and ease of use.

Use Cases

Leverage browser automation capabilities to monitor website changes and track content updates
Build datasets for machine learning and research projects
Extract product data from competitor websites for market analysis

Frequently Asked Questions

How do I install Yr No Weather?

Install Yr No Weather by running `openclaw install yr-no-weather` in your terminal. This will add the skill to your OpenClaw environment. After installation, you can configure it through your OpenClaw configuration file or use it directly in your automation workflows.

Is Yr No Weather free to use?

Yes, Yr No Weather is an open-source skill available through the OpenClaw ecosystem. You can install and use it at no cost. It has been verified by the OpenClaw team for safety and reliability.

What AI model does Yr No Weather work best with?

Yr No Weather is optimized for Claude 3.5. Claude 3.5 excels at complex reasoning tasks, making it well-suited for this skill. You may also be able to use it with other compatible models depending on your OpenClaw configuration.

Can I use Yr No Weather in production?

Yr No Weather is a verified skill, meaning it has passed OpenClaw's quality and security review. It is suitable for production use, though we recommend testing it in a staging environment first. Always review the skill permissions and data handling before deploying to production.

Who maintains Yr No Weather?

Yr No Weather is maintained by brandon2255p and the OpenClaw community. The source code is available on GitHub, where you can report issues, contribute improvements, or review the implementation. Skills in the OpenClaw ecosystem are open source and community-driven.