OpenClaw Claude Code + World Monitor = ULTIMATE News Research

Summary

## Automated News Research with OpenClaw and Claude Code This tutorial demonstrates how to build a powerful **automated news research system** by combining OpenClaw's Claude Code agent with World Monitor capabilities. The workflow solves the common problem of manually tracking multiple news sources and synthesizing information across different platforms. ## The Problem It Solves Researchers and content creators often need to monitor dozens of news sources, extract relevant information, and generate comprehensive reports. Doing this manually is time-consuming and prone to missing important updates. This automation pipeline handles the entire workflow from monitoring to analysis. ## Key Components **World Monitor Setup**: Configure World Monitor to track RSS feeds, news APIs, and web sources relevant to your research topics. The system continuously polls these sources for new content and stores updates in a structured format. **Claude Code Integration**: Use `sessions_spawn` with `runtime: "acp"` to delegate complex analysis tasks to Claude Code. The agent can read monitored content, identify patterns, extract key insights, and generate summaries without manual intervention. **Automation Workflow**: Set up scheduled tasks using OpenClaw's cron capabilities or heartbeat system to trigger periodic research cycles. The system fetches new articles, passes them to Claude Code for analysis, and compiles findings into markdown reports. ## Practical Applications - **Crypto market research**: Track multiple crypto news sites and generate daily market sentiment reports - **Competitive intelligence**: Monitor competitor announcements and product launches - **Content creation**: Automatically gather source material for videos, articles, or newsletters - **Trend analysis**: Identify emerging topics across multiple publications ## Commands and Tools The tutorial covers using `sessions_spawn` for spawning Claude Code agents, configuring World Monitor sources, and setting up automated reporting pipelines. The result is a hands-off research assistant that works 24/7.