Yahoo Finance Scraper

Extract real-time stock quotes, historical price data, cryptocurrency prices, and market index data from Yahoo Finance. Search by ticker symbol or company name.

What does Yahoo Finance Scraper do?

This actor extracts financial market data from Yahoo Finance, including:

• Stock quotes — current price, daily change, 52-week range, volume
• Historical OHLCV data — open, high, low, close, adjusted close, and volume for any date range
• Cryptocurrency prices — BTC-USD, ETH-USD, and all Yahoo-supported crypto pairs
• Market indices — S&P 500 (^GSPC), Dow Jones (^DJI), NASDAQ (^IXIC), and more
• Company name search — enter "Apple" or "Tesla" and the actor resolves the correct ticker symbol

Why use Yahoo Finance Scraper?

• No API key required — works out of the box with no registration or authentication
• Smart symbol resolution — enter ticker symbols (AAPL) or company names (Apple) and the actor finds the right stock
• Configurable date ranges — from 1 day to maximum available history
• Flexible intervals — 1-minute to monthly data points
• Multiple asset classes — stocks, ETFs, crypto, forex, indices, and commodities
• Structured JSON output — clean, typed data ready for analysis or integration

Use cases

• Portfolio tracking — monitor your holdings with real-time price data
• Price monitoring — track stock prices and get historical trends for investment decisions
• Financial analysis — download OHLCV data for backtesting trading strategies
• Market research — compare stock performance across sectors and time periods
• Academic research — gather financial data for economic studies and papers
• Crypto monitoring — track Bitcoin, Ethereum, and other cryptocurrency prices
• Index tracking — monitor major market indices like S&P 500 and NASDAQ
• Competitive intelligence — compare stock performance of competing companies

Input parameters

Parameter	Type	Default	Description
tickers	array	required	List of ticker symbols (e.g., AAPL, MSFT) or company names (e.g., Apple, Tesla)
dateRange	string	1mo	Historical price data range: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, ytd, max
interval	string	1d	Frequency of data points: 1m, 5m, 15m, 1h, 1d, 1wk, 1mo
includeHistory	boolean	true	Include historical OHLCV data in the output

Supported ticker formats

• US stocks: AAPL, MSFT, GOOGL, AMZN, TSLA
• International stocks: 7203.T (Toyota), BABA (Alibaba)
• Crypto: BTC-USD, ETH-USD, SOL-USD
• Indices: ^GSPC (S&P 500), ^DJI (Dow Jones), ^IXIC (NASDAQ)
• ETFs: SPY, QQQ, VOO
• Forex: EURUSD=X, GBPUSD=X
• Company names: Apple, Microsoft, Tesla (auto-resolved to ticker)

Output example

Each item in the output dataset contains:

{
    "symbol": "AAPL",
    "name": "Apple Inc.",
    "price": 264.72,
    "previousClose": 269.99,
    "change": -5.27,
    "changePercent": "-1.95%",
    "dayHigh": 266.53,
    "dayLow": 260.2,
    "fiftyTwoWeekHigh": 288.62,
    "fiftyTwoWeekLow": 169.21,
    "volume": 41576035,
    "averageVolume": null,
    "marketCap": null,
    "currency": "USD",
    "exchange": "NasdaqGS",
    "exchangeTimezone": "America/New_York",
    "quoteType": "EQUITY",
    "priceHistory": [
        {
            "date": "2026-02-03",
            "open": 235.46,
            "high": 238.38,
            "low": 233.14,
            "close": 237.37,
            "adjClose": 237.37,
            "volume": 47628900
        }
    ],
    "dataRange": "1mo",
    "dataInterval": "1d",
    "scrapedAt": "2026-03-03T07:57:26.123Z"
}

Pricing

This actor uses a pay-per-event pricing model:

Event	Price
Run started	$0.001
Per ticker extracted	$0.003

Cost examples

Scenario	Tickers	Cost
Single stock check	1	$0.004
FAANG portfolio	5	$0.016
S&P 500 top 20	20	$0.061
Large portfolio	50	$0.151

Platform costs (compute, storage) are additional but minimal — typically under $0.005 per run.

How to use Yahoo Finance Scraper

Via Apify Console

1. Go to the Yahoo Finance Scraper actor page on Apify Store
2. Enter your ticker symbols or company names
3. Select your desired date range and interval
4. Click Start and wait for the run to finish
5. Download results as JSON, CSV, or Excel from the Dataset tab

Via API (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('YOUR_USERNAME/yahoo-finance-scraper').call({
    tickers: ['AAPL', 'MSFT', 'GOOGL', 'BTC-USD', '^GSPC'],
    dateRange: '1mo',
    interval: '1d',
    includeHistory: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((stock) => {
    console.log(`${stock.symbol}: $${stock.price} (${stock.changePercent})`);
});

Via API (Python)

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('YOUR_USERNAME/yahoo-finance-scraper').call(run_input={
    'tickers': ['AAPL', 'MSFT', 'GOOGL', 'BTC-USD', '^GSPC'],
    'dateRange': '1mo',
    'interval': '1d',
    'includeHistory': True,
})

for stock in client.dataset(run['defaultDatasetId']).iterate_items():
    print(f"{stock['symbol']}: ${stock['price']} ({stock['changePercent']})")

Integrations

Connect Yahoo Finance Scraper with your existing tools:

• Google Sheets — automatically update spreadsheets with latest stock prices
• Slack / Discord — send price alerts when stocks hit target levels
• Zapier / Make — trigger workflows based on stock data changes
• Webhooks — push data to any URL endpoint when a run completes
• PostgreSQL / MongoDB — store historical data for long-term analysis

Tips and best practices

• Start with daily intervals — 1d gives clean, reliable data. Use intraday intervals (1m, 5m) only when needed, as they have limited history (7-60 days).
• Use ticker symbols when possible — direct symbols like AAPL are faster than company name lookups like Apple.
• Batch your requests — it's more efficient to request 20 tickers in one run than to make 20 separate runs.
• Historical data limits — intraday data (1m, 5m, 15m) is only available for the last 7-60 days depending on the interval.
• Weekend/holiday data — stock markets are closed on weekends and holidays, so there will be no data points for those days. Crypto markets trade 24/7.
• Set includeHistory: false for faster runs if you only need current prices.

Limitations

• Data is sourced from Yahoo Finance and subject to their availability and accuracy
• Intraday data (1m, 5m, 15m intervals) has limited historical availability
• Some tickers may not be available in all markets
• Rate limits may apply for very large batches of tickers