Yahoo Finance Stock Data Scraper
Pricing
$0.90 / 1,000 stock quotes
Yahoo Finance Stock Data Scraper
Fetch current stock quotes or a market overview from Yahoo Finance. Enter ticker symbols or choose the overview to get prices, changes, ranges, volume, and available company data in your dataset.
Pricing
$0.90 / 1,000 stock quotes
Rating
0.0
(0)
Developer
Maxime Dupré
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a day ago
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📈 Yahoo Finance stock data for quote research
For developers, analysts, and finance teams, this Actor returns current Yahoo Finance quote rows for ticker lists or a market overview. Use the structured prices, changes, ranges, volume, and available company data in your research or data workflow.
- Compare several symbols in one dataset with Recent Stock Quotes.
- Call the Actor from code with Yahoo Finance API and save structured quote rows.
- Check market changes and caps with S&P 500 Today.
- Review quote data with Dow Jones Yahoo Finance.
- Check a share quote with Google Stock Class A.
- Check another share quote with Google Stock Class C.
📊 Current quote rows for stocks and market views
Stock quotes return one row for each resolved ticker in the submitted list. Market overview returns major-stock quote rows without a symbol list. Rows include price movement, previous close, open price, intraday and 52-week ranges, volume, and the source market time. Company, exchange, currency, market capitalization, valuation, earnings, dividend yield, sector, and industry fields are included when Yahoo Finance provides them.
▶️ Run a quote lookup
Run steps
- Choose Stock quotes or Market overview in the Input tab.
- For Stock quotes, enter one or more ticker symbols such as
AAPLorMSFT. - Start the Actor and open the saved dataset.
Choose Stock quotes for one list of symbols. Choose Market overview when you want the Actor's major-stock view without entering symbols.
⚙️ Input
Input fields
| Field | Type | What it does |
|---|---|---|
resultType | string | Selects stockQuotes for one ticker list or marketOverview for major-stock quote rows. |
symbols | array of strings | Enter one or more ticker symbols for stockQuotes, such as AAPL or MSFT. The field is ignored for marketOverview. |
Example input
This input is from a successful Stock quotes run:
{"resultType": "stockQuotes","symbols": ["AAPL","MSFT"]}
🧾 Output
Run output
| Field | Type | What it does |
|---|---|---|
dataset | URL string | Links to the default dataset with the saved quote rows. |
Both input modes save the same dataset row shape. Optional fields can be missing when Yahoo Finance does not provide them.
Dataset rows
| Field | Type | What it does |
|---|---|---|
symbol | string | Ticker symbol for the resolved instrument. |
companyName | string, optional | Company or instrument name when available. |
exchange | string, optional | Exchange or market where the instrument trades when available. |
currency | string, optional | Currency used for the quote when available. |
currentPrice | number | Latest available price for the instrument. |
change | number | Absolute price change from the previous close, in the quote currency. |
changePercent | number | Percentage change from the previous close, such as 2.46 for 2.46%. |
previousClose | number | Price at the previous market close. |
open | number | Opening price for the current trading session. |
intradayRange | object | Lowest and highest prices for the current trading session. |
intradayRange.low | number | Intraday low price. |
intradayRange.high | number | Intraday high price. |
fiftyTwoWeekRange | object | Lowest and highest prices recorded during the past 52 weeks. |
fiftyTwoWeekRange.low | number | 52-week low price. |
fiftyTwoWeekRange.high | number | 52-week high price. |
volume | integer | Number of shares traded in the current session. |
marketCapitalization | number, optional | Total market value of outstanding shares when available. |
valuation | object, optional | Valuation measures when available. |
valuation.trailingPe | number, optional | Price-to-earnings ratio based on the last 12 months of earnings. |
valuation.forwardPe | number, optional | Price-to-earnings ratio based on forecast earnings. |
valuation.pegRatio | number, optional | Price-to-earnings growth ratio when available. |
valuation.priceToBook | number, optional | Share price compared with book value per share. |
earnings | object, optional | Earnings measures when available. |
earnings.trailingEps | number, optional | Earnings per share for the last 12 months. |
earnings.forwardEps | number, optional | Forecast earnings per share when available. |
dividendYield | number, optional | Annual dividend yield as a percentage when available. |
sector | string, optional | Company sector when available. |
industry | string, optional | Company industry when available. |
marketTime | date-time string, optional | Market time reported by Yahoo Finance when available. |
Stock quotes example
This genuine row came from a successful Stock quotes run:
{"symbol": "AAPL","companyName": "Apple Inc.","exchange": "NasdaqGS","currency": "USD","currentPrice": 333.02,"change": -4,"changePercent": -1.1868731826004393,"previousClose": 337.02,"open": 330.79998779296875,"intradayRange": {"low": 330.14,"high": 339.5},"fiftyTwoWeekRange": {"low": 243.42,"high": 345.34},"volume": 49875295,"marketTime": "2026-09-30T20:00:01.000Z","marketCapitalization": 4860153954304,"dividendYield": 0.0033000002,"sector": "Technology","industry": "Consumer Electronics","valuation": {"trailingPe": 37.714607,"forwardPe": 34.7426,"pegRatio": 2.64,"priceToBook": 45.24728},"earnings": {"trailingEps": 8.83,"forwardEps": 9.58535}}
Market overview example
This genuine row came from a successful Market overview run:
{"symbol": "MSFT","companyName": "Microsoft Corporation","exchange": "NasdaqGS","currency": "USD","currentPrice": 512.9,"change": 12.310000000000002,"changePercent": 2.4590982640484236,"previousClose": 500.59,"open": 511.6099853515625,"intradayRange": {"low": 510.33,"high": 519.83},"fiftyTwoWeekRange": {"low": 349.2,"high": 553.72},"volume": 27014238,"marketTime": "2026-09-30T20:00:01.000Z","marketCapitalization": 3808562511872,"dividendYield": 0.0077,"sector": "Technology","industry": "Software - Infrastructure","valuation": {"trailingPe": 28.542017,"forwardPe": 21.692709,"pegRatio": 1.65,"priceToBook": 8.610762},"earnings": {"trailingEps": 17.97,"forwardEps": 23.64389}}
💳 Pricing
The Actor uses pay-per-event pricing. The current primary rate is $0.0009 for each stock quote saved for a resolved ticker symbol. The rate applies to the current quote event shown in the pricing panel.
🔌 Integrations
Run the Actor from the Apify Console or API, then read the saved rows through the default dataset link or dataset API.
❓ FAQ
Do I need ticker symbols for Market overview?
No. Choose marketOverview and leave the ticker list out of the request. The Actor selects its major-stock view.
What happens when a ticker or optional field is not available?
The source may not resolve every submitted symbol or provide every optional field. The dataset contains the quote rows and fields that Yahoo Finance returns.
Are these guaranteed real-time quotes?
No. The Actor returns current quote data available from Yahoo Finance, but it does not promise a real-time feed or exchange-certified data. Use marketTime when Yahoo Finance provides it.
Can I get historical prices or OHLCV data?
No. This Actor focuses on current quote records and a market overview. It does not provide historical time series.
Can I use this as the Yahoo Finance API?
You can call this Actor through the Apify API to retrieve Yahoo Finance stock data. It is not a promise of an official Yahoo Finance API, a guaranteed real-time feed, or investment advice.
Can one run use both retrieval modes?
No. Choose one result type for each run: one ticker list for stockQuotes, or marketOverview without symbols.
Does this Actor give investment advice?
No. It returns source data for research and workflows. It does not recommend buying, selling, or holding a security.
📝 Changelog
v0.0 (01-10-2026)
- Initial release.
🆘 Support
For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡
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Made with ❤️ by Maxime Dupré