Scrape Yahoo Finance for stocks, ETFs, indexes, crypto and currencies: quotes and key statistics (price, market cap, P/E, dividend, earnings date), price history with adjusted close and dividends, or options chains with bid, ask, open interest, implied volatility, greeks and max pain.

This tutorial shows what the Actor v0iddo/yahoo-finance-scraper returns, how to run it on the Apify Store without code, and how to call it from Python and cURL.

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

Field Label Type Example
symbol Symbol text AAPL
name Name text Apple Inc.
quoteType Type text EQUITY
price Price number 347.725
currency Currency text USD
changePercent Change % number -0.14215012
volume Volume number 39539690
marketCap Market cap number 5074761285632
trailingPE P/E number 39.87672
dividendYield Dividend yield % number 0.31
fiftyTwoWeekLow 52 week low number 243.42
fiftyTwoWeekHigh 52 week high number 351.73
regularMarketTime Quote time date 2026-10-23T20:00:01Z
url Yahoo Finance page URL https://finance.yahoo.com/quote/AAPL/
exchange exchange text NasdaqGS
marketState marketState text OVERNIGHT
change change number -0.49499512
previousClose previousClose number 348.22
open open number 349.11
dayLow dayLow number 345.75
dayHigh dayHigh number 351.73
averageVolume averageVolume number 43991589
forwardPE forwardPE number 36.365494
epsTrailing epsTrailing number 8.72
dividendRate dividendRate number 1.08
exDividendDate exDividendDate text 2026-08-10
beta beta number 1.069
earningsDate earningsDate text 2026-11-02
targetMeanPrice targetMeanPrice number 329.24768
recommendation recommendation text buy
sector sector text Technology
industry industry text Consumer Electronics
scrapedAt scrapedAt text 2026-10-26T04:30:36Z

Real rows from a run of the Actor (fields that name people are left out):

[ { "symbol": "AAPL", "name": "Apple Inc.", "quoteType": "EQUITY", "exchange": "NasdaqGS", "currency": "USD", "marketState": "OVERNIGHT", "price": 347.725, "change": -0.49499512, "changePercent": -0.14215012, "previousClose": 348.22, "open": 349.11, "dayLow": 345.75, "dayHigh": 351.73, "fiftyTwoWeekLow": 243.42, "fiftyTwoWeekHigh": 351.73, "volume": 39539690, "averageVolume": 43991589, "marketCap": 5074761285632, "trailingPE": 39.87672, "forwardPE": 36.365494, "epsTrailing": 8.72, "dividendRate": 1.08, "dividendYield": 0.31, "exDividendDate": "2026-08-10", "beta": 1.069, "earningsDate": "2026-11-02", "targetMeanPrice": 329.24768, "recommendation": "buy", "sector": "Technology", "industry": "Consumer Electronics", "regularMarketTime": "2026-10-23T20:00:01Z", "url": "https://finance.yahoo.com/quote/AAPL/", "scrapedAt": "2026-10-26T04:30:36Z" }, { "symbol": "MSFT", "name": "Microsoft Corporation", "quoteType": "EQUITY", "exchange": "NasdaqGS", "currency": "USD", "marketState": "OVERNIGHT", "price": 524.51, "change": 3.4299927, "changePercent": 0.6582468, "previousClose": 521.08, "open": 517.995, "dayLow": 515.7, "dayHigh": 525.77, "fiftyTwoWeekLow": 349.2, "fiftyTwoWeekHigh": 553.72, "volume": 13681067, "averageVolume": 25928984, "marketCap": 3894773022720, "trailingPE": 29.220612, "forwardPE": 22.128946, "epsTrailing": 17.95, "dividendRate": 3.92, "dividendYield": 0.75, "exDividendDate": "2026-11-19", "beta": 1.099, "earningsDate": "2026-10-28", "targetMeanPrice": 601.7281, "recommendation": "strong_buy", "sector": "Technology", "industry": "Software - Infrastructure", "regularMarketTime": "2026-10-23T20:00:01Z", "url": "https://finance.yahoo.com/quote/MSFT/", "scrapedAt": "2026-10-26T04:30:38Z" } ]

No code: run it on the Apify Store

  1. Open the Yahoo Finance Scraper page on Apify.
  2. Fill in the input form. An example input is already filled in.
  3. Press Start, wait for the run to finish, and download the results as JSON, CSV or Excel from the Output tab.

The input that is pre-filled on the Actor page:

{ "tickers": [ "AAPL", "MSFT", "NVDA", "AMZN", "GOOGL", "META", "TSLA", "SPY", "QQQ", "^GSPC", "BTC-USD", "EURUSD=X" ], "maxItems": 20 }

Ready-made examples

Saved inputs on Apify: run one as it is, or copy it and change the values.

Python (apify-client)

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/yahoo-finance-scraper.

from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run_input = {'tickers': ['AAPL', 'MSFT', 'NVDA', 'AMZN', 'GOOGL', 'META', 'TSLA', 'SPY', 'QQQ', '^GSPC', 'BTC-USD', 'EURUSD=X'], 'maxItems': 20} run = client.actor("v0iddo/yahoo-finance-scraper").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item)

cURL 

curl -X POST "https://api.apify.com/v2/acts/v0iddo~yahoo-finance-scraper/run-sync-get-dataset-items" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"tickers": ["AAPL", "MSFT", "NVDA", "AMZN", "GOOGL", "META", "TSLA", "SPY", "QQQ", "^GSPC", "BTC-USD", "EURUSD=X"], "maxItems": 20}'

Good to know

  • One row per ticker, read from the public quote page finance.yahoo.com/quote/TICKER/. That page already carries the quote and the key statistics, so the run makes one request per ticker.
  • changePercent and dividendYield are percentages: 0.43 means 0.43 percent. Dates are ISO 8601: exDividendDate and earningsDate as YYYY-MM-DD, regularMarketTime and scrapedAt in UTC.

Price

$0.50 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.35 per 1,000.

FAQ

What data does the Yahoo Finance Scraper return?

Each result is one row in an Apify dataset. Fields include symbol, name, quoteType, price, currency, changePercent, volume, marketCap, and more. The table above shows every field with an example value.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$0.50 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.35 per 1,000. A new Apify account gets $5 of platform credit every month.

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