Scrape fundamental, technical, and insider trading data from Finviz quote pages into JSON.
npx skills add https://github.com/gauss314/skills --skill finviz
Please help me install this Agent Skill. Skill: finviz Source: https://github.com/gauss314/skills/tree/main/skills/finviz Command: npx skills add https://github.com/gauss314/skills --skill finviz
This skill solves the lack of an official Finviz API by providing a reliable way to programmatically scrape fundamental, technical, and insider trading data for US stocks.
Use the finviz skill to fetch the latest fundamental and technical data for the ticker AAPL and save the output to a file named aapl_data.json.
High-intent search queries and answers about installing and using this skill.
You can scrape fundamental and technical stock data from Finviz quote pages by using Python requests to fetch HTML and beautifulsoup4 to parse metrics like P/E ratios, RSI, and moving averages into structured JSON formats.
Yes, you can programmatically extract insider trading data and news headlines for US equities by scraping Finviz quote pages, parsing the HTML content into machine-readable JSON formats for automated market analysis.
The best way to fetch market data for multiple tickers without an official Finviz API is to use a scraping script that retrieves quote pages sequentially, supporting exporting results directly to JSON files.
Yes, you need beautifulsoup4 alongside the requests library to parse Finviz HTML content, as these dependencies are required to perform web data extraction and convert the raw HTML into machine-readable JSON.
Limitations when scraping US market data from Finviz include potential rate limiting and IP blocking, so you must adhere to rate-limiting best practices during web data extraction to maintain reliable access.
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