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Yahoo Finance Fundamentals Scraper 📈 — Statements, Ratios & Quotes

Pull company fundamentals from Yahoo Finance as clean, structured JSON — income statement, balance sheet and cash flow (annual & quarterly), plus key statistics, valuation ratios, analyst price targets and live quotes — for stocks, ETFs, indices, crypto and FX, worldwide.

Built API-first for reliability and speed (no fragile page-rendering), with automatic session handling and proxy rotation so it keeps working at scale.

💡 Why this actor? Most "Yahoo Finance" scrapers only return prices, or wrap a library that breaks when Yahoo rotates its auth. This one delivers complete financial statements + valuation + analyst data in one normalized record, and is engineered to survive Yahoo's auth/rate-limit gating.

📋 Table of contents

• What does it do?
• Use cases
• How to use it
• Input parameters
• Input examples
• Output — data fields
• Sample output record
• Coverage
• Tips & best practices
• Frequently asked questions
• Changelog

What does it do?

Give it tickers (or pick a screener) and it returns, per symbol:

• 🧾 Financial statements — income statement, balance sheet, cash flow (annual + quarterly), with normalized field names.
• 📊 Key statistics & valuation — market cap, P/E, forward P/E, PEG, price/book, price/sales, EV, EV/EBITDA, beta, EPS, shares outstanding.
• 💹 Profitability & growth — gross/operating/profit margins, ROE, ROA, revenue & earnings growth, free & operating cash flow, debt, cash, current/quick ratio.
• 🎯 Analyst data — mean/high/low price targets, recommendation, number of analysts.
• 💵 Dividends — rate, yield, payout ratio, ex-dividend date.
• 📈 Live quote & 52-week range, and optional historical OHLCV price data.

Export to JSON, CSV, Excel, XML or HTML, or pull from the Apify API.

Use cases

📊 Equity research & screening

• Compare valuation and profitability across a watchlist or a whole screener.
• Build fundamental models from full statement history.

🤖 Quant & data teams

• Feed normalized fundamentals + price history into models and dashboards.
• Track quarterly results across many tickers.

💼 Investors & analysts

• Pull P/E, PEG, EV/EBITDA, margins, ROE and analyst targets in one batch.
• Monitor dividends and payout ratios.

📰 Fintech & media

• Power stock dashboards, newsletters and alerts with reliable structured data.

How to use it (step by step)

No coding required.

1. Click Try for free / Start.
2. Add Symbols (e.g. AAPL, MSFT, BTC-USD) — or pick a Screener (e.g. "Most actives") to discover tickers automatically.
3. Choose Statement frequency (annual / quarterly / both) and toggle Include financial statements / Include price history.
4. Set Max symbols.
5. Click Save & Start, then export the results.

Input parameters

Input examples

1) A few tickers with full statements

{
"symbols":["AAPL","MSFT","GOOGL"],
"statementFrequency":"both"
}

2) Discover & scrape the most active stocks

{
"screener":"most_actives",
"maxItems":50
}

3) Quotes + key stats only (fast, no statements)

{
"symbols":["TSLA","NVDA","AMD"],
"includeStatements":false
}

4) With price history

{
"symbols":["AAPL"],
"includePriceHistory":true,
"priceRange":"5y"
}

Output — data fields

One record per symbol. Top-level fields include:

Each statement row: { date, frequency, periodType, currency, ...lineItems } — e.g. income rows carry totalRevenue, grossProfit, operatingIncome, ebitda, netIncome, dilutedEPS, …; balance rows carry totalAssets, stockholdersEquity, totalDebt, cashAndCashEquivalents, …; cash-flow rows carry operatingCashFlow, freeCashFlow, capitalExpenditure, …

Sample output record

{
"symbol":"AAPL",
"name":"Apple Inc.",
"exchange":"NMS",
"currency":"USD",
"sector":"Technology",
"marketCap":4571145961472,
"price":311.23,
"trailingPE":37.72,
"forwardPE":32.39,
"priceToBook":42.87,
"enterpriseValue":4587349606400,
"returnOnEquity":1.4147,
"profitMargins":0.2715,
"targetMeanPrice":310.5,
"recommendationKey":"buy",
"dividendYield":0.0035,
"financials":{
"incomeStatement":[
{"date":"2025-09-30","frequency":"annual","currency":"USD","totalRevenue":416161000000,"netIncome":99000000000,"dilutedEPS":7.46,"ebitda":144748000000}
],
"balanceSheet":[
{"date":"2025-09-30","frequency":"annual","totalAssets":359241000000,"stockholdersEquity":66000000000}
],
"cashFlow":[
{"date":"2025-09-30","frequency":"annual","operatingCashFlow":120000000000,"freeCashFlow":98767000000}
]
},
"scrapedAt":"2026-06-05T10:00:00.000Z"
}

Coverage

• Stocks (global exchanges), ETFs, indices (^GSPC), crypto (BTC-USD), FX (EURUSD=X).
• Full financial statements apply to equities; indices/FX/crypto return quote & price data.
• Discover symbols with the built-in screeners, or supply your own ticker list.

Tips & best practices

• 🧪 Start with a few symbols to confirm the output shape.
• ⚡ Disable statements for a fast quotes + key-stats run when you don't need full history.
• 🧱 Use a screener to scan a whole segment (e.g. most actives, undervalued large caps).
• 🐢 Keep concurrency moderate and proxy on — Yahoo rate-limits aggressive bursts.
• 💾 Use the Apify API / integrations to push results into Google Sheets, a database, or a webhook, and schedule runs to track quarterly results.

Frequently asked questions

Which statements are included? Income statement, balance sheet and cash flow — annual and/or quarterly, with normalized field names and multiple years of history.

Does it cover non-US companies? Yes — any symbol available on Yahoo Finance, across global exchanges, plus ETFs, indices, crypto and FX.

Can I discover tickers automatically? Yes — pick a predefined screener (most actives, day gainers, undervalued large caps, etc.).

Do I get analyst price targets and dividends? Yes — mean/high/low targets, recommendation, analyst count, and dividend rate/yield/payout.

What export formats are supported? JSON, CSV, Excel, XML, HTML table, RSS — plus the Apify API and integrations.

Changelog

0.1.0

• Initial release: full income/balance/cash-flow statements (annual + quarterly), key stats, valuation ratios, profitability, dividends, analyst targets and live quotes.
• Symbol list or screener discovery; optional OHLCV price history.
• API-first with resilient session handling and proxy rotation.