Scrape historical financial statements and ratios from Macrotrends for US-listed stocks and ADRs.
npx skills add https://github.com/gauss314/skills --skill macrotrends
Please help me install this Agent Skill. Skill: macrotrends Source: https://github.com/gauss314/skills/tree/main/skills/macrotrends Command: npx skills add https://github.com/gauss314/skills --skill macrotrends
This skill solves the difficulty of accessing long-term historical financial statements and ratios for US-listed companies and ADRs without needing a paid API key.
Use the macrotrends skill to fetch all available annual financial statements and ratios for the ticker NVDA.
High-intent search queries and answers about installing and using this skill.
You can extract historical financial statements for stocks without a paid API by scraping the Macrotrends website. This approach retrieves 15+ years of income statements, balance sheets, and cash flow data for US-listed companies and ADRs.
Yes, you can scrape 15 years of balance sheet and cash flow data using Python. By utilizing the requests and beautifulsoup4 libraries, the scraper parses embedded JSON data from web pages to retrieve long-term financial records.
Web scraping for financial ratios does support international ADR tickers alongside US-listed stocks. The process resolves over 6,500 tickers to internal website slugs to accurately extract 20+ key ratios like ROE and ROA.
The best way to get 20+ key financial ratios like ROE and profit margins for longitudinal analysis is scraping Macrotrends. It provides 15+ years of historical ratio data, enabling deep fundamental performance tracking over time.
Yes, there are rate limits to respect when scraping historical financial data with requests and beautifulsoup4. The extraction process is designed to respect these limits while parsing embedded JSON data to prevent access blocks.
A historical financial data scraper may fail to retrieve data for certain stock tickers if they are not supported. The tool only covers US-listed stocks and international ADRs, resolving valid tickers to internal slugs before parsing data.
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