A comprehensive Python library providing programmatic access to Yahoo Finance endpoints including real-time pricing, fundamentals, and analyst estimates.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yahooquery
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 yahooquery using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The yahooquery skill is a professional-grade Python interface designed to pull exhaustive financial data from Yahoo Finance. As part of the Openclaw Skills collection, this tool enables developers and AI agents to retrieve company-specific data, market trends, and premium research reports. It stands out by providing access to nearly all Yahoo Finance endpoints, making it an essential component for building automated trading systems or financial research bots.
By using this skill, you can bypass the limitations of standard scrapers through a structured API-like experience. It supports everything from basic ticker information to complex options chains and institutional ownership details, all while maintaining high performance through asynchronous request handling.
To integrate this capability into your environment, install the library using the following command:
python3 -m pip install yahooquery
Ensure your environment supports Python 3.7+ and has dependencies like pandas and beautifulsoup4 available to process the incoming Openclaw Skills data.
The skill organizes data into logical modules within the Ticker class. Most outputs can be converted to JSON or Pandas DataFrames for easy consumption.
| Category | Key Methods | Description |
|---|---|---|
| Market Data | .price, .history() |
Real-time OHLC, volume, and historical price action. |
| Financials | .income_statement(), .cash_flow() |
Standardized accounting statements and valuation measures. |
| Analysis | .earnings_trend, .gradings |
Analyst estimates, upgrades, and downgrades. |
| Profile | .asset_profile, .company_officers |
Corporate metadata, industry sector, and executive data. |
| Ownership | .major_holders, .insider_transactions |
Breakdown of institutional, fund, and insider positions. |
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