A specialized automation skill for extracting structured, real-time news data from Google News using the BrowserAct API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-news-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install google-news-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Google News Automation Scraper?
The Google News Automation Scraper is a robust tool designed for AI assistants to monitor industry trends, track brand mentions, and perform competitive research. By leveraging Openclaw Skills, developers can provide their agents with a seamless way to access global news without manual searching or complex scraping configurations. This skill serves as a reliable bridge between raw search results and actionable, structured JSON data.
Built on the BrowserAct API architecture, it ensures high reliability and fast response times across various coding environments and AI platforms. Whether you are building an automated daily briefing tool or a PR monitoring bot, this skill provides the necessary endpoints to retrieve headlines, sources, and publication dates instantly while maintaining stability and performance.
Google News Automation Scraper Use Cases
- Monitor brand mentions or PR updates across global news outlets to stay ahead of the narrative.
- Track industry trends and emerging technologies in real-time for market analysis.
- Automate competitive intelligence gathering for specific keywords or rival companies.
- Build custom news aggregation feeds for internal team communication and updates.
- Conduct long-term research using customizable date filters ranging from hours to years.
How Google News Automation Scraper Works
- The AI agent identifies a news-related query based on user triggers such as "find news about" or "track trends".
- The skill validates the environment configuration, checking for a valid BROWSERACT_API_KEY.
- The agent executes a Python script passing user parameters including keywords, date ranges, and the desired item count.
- The BrowserAct API processes the request, bypasses scraping obstacles, and returns structured data.
- The AI agent parses the results and presents a summarized report or raw data list to the user.
Google News Automation Scraper Setup
To get started with this skill, follow these installation and configuration steps:
- Obtain an API key from the BrowserAct Console.
- Set the environment variable in your terminal or configuration file:
export BROWSERACT_API_KEY='your_api_key_here'
- Copy the skill folder into your agent's directory. For example, if using Cursor:
cp -r google-news-api ~/.cursor/skills/
- Ensure you have Python installed to execute the scraper script located in the scripts directory.
Google News Automation Scraper Data Schema & Taxonomy
The skill produces a structured JSON output for every news item found. The data is organized as follows:
| Field Name | Type | Description |
|---|---|---|
| headline | string | The title of the news article |
| source | string | The publisher or media outlet name |
| news_link | string | The direct URL to the article |
| published_time | string | The timestamp of when the article was published |
| author | string | The name of the author, if available |
Default output is limited to 30 items but can be configured based on the user's research depth requirements.
Google News Automation Scraper Advanced Features
- Granular time-range filtering allowing for breaking news monitoring (past hours) or long-term trend analysis (past year).
- Built-in error handling that detects invalid authorization and prevents unnecessary retries.
- Automatic single-retry mechanism for transient failures to ensure high success rates in Openclaw Skills workflows.
- Lightweight Python implementation that requires no heavy browser dependencies on the host machine.
- Flexible parameter support for keyword-rich searches and specific volume limits.
SKILL.md
Loading
Related Openclaw Skills
Google Maps Search Automation Skill
Effortlessly extract structured business data and leads from Google Maps using natural language commands.
Amazon Competitor Analyzer
A browser-automation tool for extracting and analyzing Amazon ASIN data to uncover competitor vulnerabilities and pricing strategies.
Openclaw Agent Token Optimizer (Deprecated)
A specialized utility for reducing AI agent token consumption, now transitioned to the canonical openclaw-agent-optimize skill.
OpenClaw Agent Optimization
A strategic advisory skill designed to audit and refine OpenClaw workspaces for peak efficiency, lower costs, and reduced context bloat.
Web Research Assistant
A BrowserAct-powered assistant that bypasses web restrictions to provide AI agents with real-time, high-accuracy research data.
MSP Toolkit Skill
A specialized suite of automation tools designed for Managed Service Providers to streamline Azure audits, NPU monitoring, and system health checks.
Featured*
