A sophisticated automation tool that scrapes, analyzes, and summarizes AgResource grain marketing newsletters for actionable agricultural insights.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agresource
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agresource using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AgResource Newsletter Scraper is a specialized tool designed to streamline the consumption of agricultural market intelligence. By leveraging Playwright for browser automation and Python for sentiment analysis, it extracts critical data from AgResource reports, including corn and soybean sales recommendations. This skill is part of the broader ecosystem of Openclaw Skills, helping users transform raw market reports into structured data and real-time alerts.
At its core, the skill focuses on price-impact sentiment, distinguishing between general news and factors that actually drive market fluctuations. It provides a technical bridge for traders and producers who need to monitor high-frequency updates across morning, noon, evening, and weekend reports without manual intervention.
Ensure you have Node.js and Playwright installed in your skill directory.
Configure the following environment variables:
AGRESOURCE_EMAIL: Your AgResource login email.AGRESOURCE_PASSWORD: Your AgResource account password.cd ~/clawd/skills/agresource
npm install playwright
Run the scraper manually to verify the setup:
node scraper.js --type=morning
The skill organizes data within the ~/clawd/memory/agresource/ directory using the following taxonomy:
| File Type | Naming Convention | Contents |
|---|---|---|
| Daily Reports | YYYY-MM-DD.md |
Summaries for morning, noon, and evening updates. |
| Weekend Reports | YYYY-MM-DD-saturday.md |
Comprehensive weekend market overviews. |
| Sentiment Data | sentiment_history.json |
Rolling history of market mood, trend direction, and confidence levels. |
Each Markdown report includes a Quick Summary, Sales Advice Status, and specific Sentiment & Trends tracking fields.
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