Dividend & ETF Scraper

Get complete dividend histories and rich ETF data for any stock or fund from Yahoo Finance — no login, no API key, no paid data provider. Feed it a list of tickers and receive clean structured JSON: every dividend a company has ever paid (ex-date + amount), trailing-twelve-month payout, plus for ETFs the expense ratio, yield, top holdings, sector weightings and historical returns. Perfect for dividend investors, income portfolios, ETF research and fintech apps.

What data you get

Dividend history (any dividend-paying stock or ETF):

• Full list of dividends — each with ex-date and amount, sorted oldest to newest.
• dividendCount, firstDividendDate, lastDividendDate, latestDividend.
• ttmDividend — total dividends paid in the trailing twelve months.

ETF profile (for funds/ETFs):

• category, family, legalType, expenseRatio, yield.
• ytdReturn, threeYearReturn, fiveYearReturn, beta3Year, totalAssets, navPrice, inceptionDate.
• holdings — top holdings with symbol, name and weight.
• sectorWeightings — allocation by sector.
• equityPriceToEarnings, equityPriceToBook.

How to use

1. Open the Actor and enter one or more Ticker symbols (e.g. AAPL, SPY, KO, SCHD).
2. Under Data to extract, pick Dividend history, ETF profile, or both.
3. Click Start. Results land in the dataset — export to JSON, CSV or Excel, or pull via the API.

Use cases

• Dividend investors — build a complete payout history and TTM yield for any watchlist.
• Income portfolios — track dividend growth, frequency and cuts across holdings.
• ETF research — compare expense ratios, yields, holdings overlap and sector exposure.
• Fintech & dashboards — power a dividend calendar or ETF screener without scraping Yahoo yourself.
• Backtesting — align historical dividend events with price data for total-return analysis.

Input

Field	Type	Description
symbols	array	Ticker symbols to fetch, e.g. ["AAPL","SPY","KO"]. Required.
dataTypes	array	Any of dividends, etfProfile. Default ["dividends"].
proxyConfiguration	object	Apify proxy settings. Datacenter works; use Residential only if rate-limited.

Output

Each dataset item is one symbol. Example (abridged):

{
  "symbol": "SPY",
  "dividends": [
    { "date": "1993-03-19", "amount": 0.213 },
    { "date": "2026-03-21", "amount": 1.797 }
  ],
  "dividendCount": 134,
  "lastDividendDate": "2026-03-21",
  "latestDividend": 1.797,
  "ttmDividend": 6.83,
  "etf": {
    "category": "Large Blend",
    "expenseRatio": 0.000945,
    "yield": 0.0098,
    "holdings": [{ "symbol": "NVDA", "name": "NVIDIA Corp", "holdingPercent": 0.0789 }],
    "sectorWeightings": [{ "sector": "technology", "weight": 0.34 }]
  },
  "scrapedAt": "2026-06-15T00:00:00.000Z"
}

Performance & cost

The Actor calls Yahoo Finance's lightweight JSON endpoints — no headless browser — so runs are fast and cheap. Dividend history uses an open endpoint; ETF data shares a single cookie + token across the run. Cost scales with the number of symbols, billed per result (see pricing).

Pricing

This Actor uses pay per result: you are charged only for the symbols it returns.

What you pay for	Price
Per result (one symbol)	$0.005

No monthly rental and no platform fees beyond your Apify plan.

Related actors

Part of a financial-data toolkit — combine dividends and ETF data with prices, calendars and on-chain data:

• SEC EDGAR Scraper — company filings, Form 4 insider trades, XBRL financials and 13F fund holdings.
• Yahoo Finance Scraper — real-time quotes, fundamentals and historical OHLCV by ticker.
• Financial Calendar Scraper — earnings, dividends, splits and IPO calendars from Nasdaq.
• FinViz Stock Screener — top gainers, losers, valuation, technicals and ~50 fields per stock.
• Etherscan Top Holders — top token holders and balances on Ethereum.

Keywords

dividend history, dividend scraper, ETF holdings, expense ratio, dividend yield, ex-dividend date, ETF data, dividend tracker, Yahoo Finance dividends, dividend growth, ETF sector weightings, income investing, dividend aristocrats, fund holdings.

Disclaimer

This Actor collects publicly available financial data for informational purposes only. It requires no login and accesses no private or personal data. The output is not financial advice — always verify figures with official sources before making investment decisions. Respect the data source's terms and use the collected data responsibly and in compliance with applicable laws.