📈 Yahoo Finance Scraper — Stocks, ETFs, Crypto & More

One actor. Every ticker. Real-time quotes, deep fundamentals, analyst targets, and historical OHLCV — delivered as JSON, CSV, or Excel.

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⚡ Why this scraper

• 🏦 120+ data points per ticker — price, market cap, P/E, dividend yield, EPS, analyst targets, full company profile, officers, risk scores, financials, and more
• 🚀 Multi-asset — works for stocks, ETFs, mutual funds, crypto (BTC-USD), FX (EURUSD=X), and indices (^GSPC)
• 🔎 Three ways to pick tickers — explicit list, free-text search, or Yahoo's built-in screeners (most actives, gainers, losers, trending, …)
• 📊 Optional historical OHLCV — daily, weekly, monthly bars going back as far as Yahoo has them
• 💾 Open in Excel, Google Sheets, or your DB in one click — Apify gives you JSON, CSV, and XLSX exports automatically
• 🤖 Reliable — gracefully handles Yahoo's consent walls, rate limits, and rotating session tokens. No setup, no captchas, no headaches

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🚀 Quick start

1. Click Try for free above
2. Paste your ticker symbols (or pick a screener like day_gainers)
3. Hit Start
4. Download the results as JSON, CSV, or Excel

That's it. No coding, no proxies, no Yahoo account.

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🛠️ Inputs

Field	Type	What it does
tickers	array	Ticker symbols to scrape. Examples: AAPL, MSFT, BRK-B, BTC-USD, EURUSD=X, ^GSPC, SPY.
searchQueries	array	Free-text queries (company names, partial symbols). Each resolves to up to 10 matching tickers.
screeners	array	Yahoo's built-in lists: most_actives, day_gainers, day_losers, trending_tickers, undervalued_growth_stocks, growth_technology_stocks, aggressive_small_caps, small_cap_gainers, top_mutual_funds, portfolio_anchors, solid_large_growth_funds, solid_midcap_growth_funds, conservative_foreign_funds, high_yield_bond.
modules	string	Which Yahoo data modules to fetch (default: price + summaryDetail + assetProfile + financialData + defaultKeyStatistics + calendarEvents + earnings + recommendationTrend + upgradeDowngradeHistory).
includeHistory	bool	Attach a history array of OHLCV bars to each record.
historyInterval	enum	Bar granularity: 1d, 1wk, 1mo, 1h, etc.
historyRange	enum	Range back from today: 5d, 1mo, 6mo, 1y, 5y, max, ytd, …
maxHistoryBars	int	Cap on bars per ticker (0 = unlimited).
maxItems	int	Cap on tickers per run (0 = unlimited).
concurrency	int	Parallel requests (1-25, default 5).

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📦 Sample output (one record)

{
  "symbol": "AAPL",
  "url": "https://finance.yahoo.com/quote/AAPL",
  "scraped_at": "2026-05-21T18:23:10.896971+00:00",
  "longName": "Apple Inc.",
  "shortName": "Apple Inc.",
  "quoteType": "EQUITY",
  "exchange": "NMS",
  "exchangeName": "NasdaqGS",
  "currency": "USD",
  "marketState": "REGULAR",
  "regularMarketPrice": 304.57,
  "regularMarketChange": 2.32,
  "regularMarketChangePercent": 0.0077,
  "regularMarketDayHigh": 305.10,
  "regularMarketDayLow": 300.40,
  "regularMarketOpen": 301.05,
  "regularMarketPreviousClose": 302.25,
  "regularMarketVolume": 18698734,
  "marketCap": 4473327976448,
  "fiftyTwoWeekHigh": 305.10,
  "fiftyTwoWeekLow": 193.46,
  "fiftyDayAverage": 268.61,
  "twoHundredDayAverage": 260.56,
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "website": "https://www.apple.com",
  "phone": "(408) 996-1010",
  "fullTimeEmployees": 166000,
  "longBusinessSummary": "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide...",
  "address": {
    "address1": "One Apple Park Way",
    "city": "Cupertino",
    "state": "CA",
    "zip": "95014",
    "country": "United States"
  },
  "auditRisk": 2,
  "boardRisk": 1,
  "overallRisk": 1,
  "companyOfficers": [
    { "name": "Mr. Timothy D. Cook", "title": "CEO & Director", "age": 64, "totalPay": 16759518 }
  ],
  "dividendRate": 1.08,
  "dividendYield": 0.0036,
  "exDividendDate": "2026-05-11T00:00:00+00:00",
  "trailingPE": 36.92,
  "forwardPE": 31.71,
  "beta": 1.07,
  "currentPrice": 304.57,
  "targetMeanPrice": 308.65,
  "targetMedianPrice": 310.00,
  "recommendationMean": 1.96,
  "recommendationKey": "buy",
  "numberOfAnalystOpinions": 43,
  "totalRevenue": 451442016256,
  "ebitda": 159975997440,
  "freeCashflow": 101090746368,
  "operatingCashflow": 140222005248,
  "grossMargins": 0.4786,
  "operatingMargins": 0.3228,
  "profitMargins": 0.2715,
  "returnOnEquity": 1.4147,
  "totalCash": 68507000832,
  "totalDebt": 84710998016,
  "debtToEquity": 79.55,
  "trailingEps": 8.25,
  "forwardEps": 9.60,
  "pegRatio": 2.63,
  "enterpriseValue": 4455457095680,
  "enterpriseToRevenue": 9.87,
  "enterpriseToEbitda": 27.85,
  "sharesOutstanding": 14687356000,
  "floatShares": 14662387495,
  "heldPercentInsiders": 0.0163,
  "heldPercentInstitutions": 0.658,
  "shortRatio": 3.11,
  "earningsDate": "2026-08-01T20:00:00+00:00"
}

When includeHistory is on, each record gains a history array of OHLCV bars:

"history": [
  { "date": "2026-04-21T13:30:00+00:00", "open": 209.4, "high": 213.2, "low": 208.1, "close": 212.6, "adjClose": 212.6, "volume": 41203400 }
]

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💡 Use cases

Who	What they do with it
Quant / algo traders	Daily snapshot for backtests, signal generation, factor research
Portfolio analytics tools	Build a "my watchlist" feature without paying Bloomberg
Financial bloggers & newsletters	Pull a fresh top-10-gainers table for every issue
Equity researchers	Bulk-pull fundamentals for screening 500-5000 tickers
Crypto traders	Real-time prices for BTC-USD, ETH-USD, SOL-USD, alongside macro indicators
ML / AI teams	Training data for price-prediction models, sentiment vs price correlation
PortfolioOps / fintech apps	Per-ticker enrichment behind a customer-facing dashboard

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🎯 Tips & tricks

• Use search queries for "I don't know the ticker": passing "Tesla" will resolve to TSLA for you.
• Combine screeners with tickers: screeners: ["day_gainers"] + tickers: ["BTC-USD"] gives you the day's biggest movers PLUS your own anchors.
• Crypto and FX work: BTC-USD, ETH-USD, DOGE-USD, EURUSD=X, GBPUSD=X.
• Indices: prefix with ^ — ^GSPC (S&P 500), ^DJI (Dow), ^IXIC (Nasdaq), ^VIX (VIX), ^FTSE (FTSE 100).
• Berkshire-style class shares: use the dash form Yahoo uses — BRK-B, BRK-A.
• Want a daily refresher? Use Apify Schedules to run this every market day at 16:30 ET.

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❓ FAQ

Q: How fresh is the data? Live during market hours (some delayed quotes per exchange — Yahoo's standard delay applies). After-hours/pre-market prices included.

Q: What about historical splits and dividends? history returns adjusted-close already. Split factor and last split date are included in the main record.

Q: Can I get options chains? Not in this version. Open an issue if you need it.

Q: Is this allowed? Yahoo Finance data is publicly accessible. This actor reads only what any visitor's browser already loads. You're responsible for complying with Yahoo's ToS in your jurisdiction.

Q: What if a ticker doesn't exist? You get a warning in the log; the run continues with the rest.

Q: Will I get rate-limited? The actor handles Yahoo's session/consent flow automatically. For very large runs (>5000 tickers), keep concurrency at 5-10 and you'll be fine.

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💰 Pricing

$5 per 1,000 results — pay only for tickers you actually get back.

That's roughly 0.5¢ per ticker, all-inclusive: real-time price + fundamentals + analyst targets + officers + financials + risk scores + every other field listed above.

Cheaper than calling the Polygon/IEX/Tradier APIs at scale, with no API key, no monthly minimum, and no infrastructure.