Yahoo Finance Scraper - Quotes, Fundamentals, Options & News

Yahoo Finance Scraper - Quotes, Fundamentals, Options & News

Yahoo Finance Scraper pulls structured market data straight from Yahoo Finance: live quotes, historical OHLCV prices, fundamentals, analyst ratings, options chains, news, ticker search, and predefined screeners for stocks, ETFs, indices, and crypto.

One actor, eight operations — quotes, historical candles, 34-line-item fundamentals, analyst ratings, options chains, news, search, and screeners — for any Yahoo Finance ticker, index, or crypto pair.

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parsebird/yahoo-finance-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/yahoo-finance-scraper").call(run_input={"operation":"quotes","tickers":["AAPL","MSFT","BTC-USD","^GSPC"]}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: operation (string, one of quotes|historical|fundamentals|analysis|options|news|search|screener, default "quotes"), tickers (array of symbols or Yahoo quote URLs), query (string, for search/news), range (string, historical lookback, default "1mo"), interval (string, candle size, default "1d"), startDate/endDate (YYYY-MM-DD, overrides range), includeEvents (boolean, adds dividend/split rows), optionsExpirations (integer, default 1), screenerId (string, default "day_gainers"), maxItems (integer cap), proxy (object, defaults to residential Apify Proxy). Output fields vary by operation: quotes return 60+ live fields (regularMarketPrice, marketCap, trailingPE...), historical returns OHLCV candles, fundamentals returns 34 line items per annual/quarterly period, options returns per-contract Greeks and pricing, news returns article metadata. Full actor spec: GET https://api.apify.com/v2/acts/parsebird~yahoo-finance-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

What is Yahoo Finance Scraper?

Yahoo Finance Scraper is an Apify Actor that acts as a Yahoo Finance API alternative — it extracts the same data that powers finance.yahoo.com quote pages, chart tabs, statistics tabs, options tabs, and news feeds, and returns it as clean structured rows. Point it at any stock, ETF, market index, or crypto pair and it handles Yahoo's session/crumb authentication for you.

Use it as a Yahoo Finance data scraper, a stock market API, or a repeatable data pipeline for research, screening, and monitoring. Results download as JSON, CSV, Excel, XML, or HTML, or you can pull them programmatically through the Apify API.

What can Yahoo Finance Scraper do?

• 📈 Fetch live quotes — price, change %, market cap, P/E, 52-week range, dividend yield — for any ticker, index, or crypto pair
• 🕯️ Pull historical OHLCV candles from 1-minute to 3-month intervals, with optional dividend and split event rows
• 📊 Extract fundamentals: 34 annual and quarterly statement line items per period — revenue, gross profit, EBIT, free cash flow, total debt, stockholders' equity, and more
• 🎯 Get analyst ratings: price targets, recommendation trend, earnings estimate revisions, and upgrade/downgrade history
• 🔗 Pull full options chains across multiple expiration dates, with strike, bid/ask, implied volatility, and open interest
• 📰 Search news by ticker or free text, with publisher, link, and related-ticker metadata
• 🔍 Run ticker/company search or pull predefined screeners (day gainers, day losers, most active, and more)
• ⚙️ Run on demand, schedule recurring runs, or connect results to Apify integrations like Google Sheets, Zapier, Make, and webhooks
• 📤 Export data in JSON, CSV, Excel, XML, RSS, or HTML from the Apify dataset

What data can you extract from Yahoo Finance?

Field	Operation	Description
regularMarketPrice / marketCap / trailingPE	quotes	Live price and valuation snapshot
targetMeanPrice / recommendationKey	quotes, analysis	Analyst consensus target and rating
open, high, low, close, adjClose, volume	historical	OHLCV per candle, adjusted close included
type = dividend / split	historical	Corporate action rows when includeEvents is on
period + endDate	fundamentals	Annual or quarterly statement period
totalRevenue … freeCashFlow	fundamentals	34 statement line items per period
strike / impliedVolatility / openInterest	options	Per-contract options data
earningsTrend / upgradeDowngradeHistory	analysis	EPS estimate revisions and rating changes
publishedAt / relatedTickers	news	Article metadata

Input parameters

Parameter	Type	Required	Default	Description
operation	string	No	quotes	One of quotes, historical, fundamentals, analysis, options, news, search, screener
tickers	array of strings	Depends*	—	Symbols or Yahoo quote URLs, e.g. AAPL, ^GSPC, BTC-USD
query	string	No	—	Free text for search (also usable for news)
range	string	No	1mo	Historical lookback: 1d … 10y, ytd, max
interval	string	No	1d	Candle size: 1m … 3mo
startDate / endDate	string	No	—	Explicit YYYY-MM-DD window (overrides range)
includeEvents	boolean	No	false	Emit dividend & split rows too
optionsExpirations	integer	No	1	Expiration dates per ticker for options
screenerId	string	No	day_gainers	Predefined screener to pull
maxItems	integer	No	—	Hard cap on rows for the run
proxy	object	No	Residential (built-in)	Optional proxy override

*tickers is required for quotes, historical, fundamentals, analysis, and options. search and news accept either tickers or query.

Example input (quotes):

{
  "operation": "quotes",
  "tickers": ["AAPL", "MSFT", "BTC-USD", "^GSPC"]
}

Example input (historical with dividends/splits):

{
  "operation": "historical",
  "tickers": ["TSLA"],
  "range": "5y",
  "interval": "1d",
  "includeEvents": true
}

Output example

quotes (truncated — 60+ fields per row):

{
  "symbol": "AAPL",
  "longName": "Apple Inc.",
  "quoteType": "EQUITY",
  "currency": "USD",
  "exchange": "NasdaqGS",
  "marketState": "REGULAR",
  "regularMarketPrice": 333.74,
  "regularMarketChangePercent": 1.02,
  "marketCap": 3160000000000,
  "trailingPE": 32.9,
  "forwardPE": 28.4,
  "fiftyTwoWeekHigh": 360.1,
  "dividendYield": 0.0051,
  "beta": 1.21,
  "totalRevenue": 416160000000,
  "grossMargins": 0.469,
  "freeCashflow": 98767000000,
  "recommendationKey": "buy",
  "numberOfAnalystOpinions": 43,
  "targetMeanPrice": 318.25,
  "sector": "Technology",
  "industry": "Consumer Electronics",
  "website": "https://www.apple.com"
}

historical:

{
  "symbol": "AAPL",
  "type": "candle",
  "date": "2026-06-18T13:30:00.000Z",
  "open": 298.11,
  "high": 300.57,
  "low": 295.62,
  "close": 298.01,
  "adjClose": 298.01,
  "volume": 85962200,
  "interval": "1d",
  "currency": "USD"
}

fundamentals:

{
  "symbol": "AAPL",
  "period": "annual",
  "endDate": "2025-09-30",
  "currency": "USD",
  "totalRevenue": 416160000000,
  "grossProfit": 195234000000,
  "netIncome": 112010000000,
  "eBIT": 133050000000,
  "freeCashFlow": 98767000000,
  "totalDebt": 106629000000,
  "stockholdersEquity": 73733000000,
  "capitalExpenditure": -12715000000
}

options:

{
  "symbol": "AAPL",
  "underlyingPrice": 333.74,
  "type": "call",
  "contractSymbol": "AAPL260720C00205000",
  "expiration": "2026-07-20T00:00:00.000Z",
  "strike": 205,
  "lastPrice": 127.1,
  "bid": 127.35,
  "ask": 130.5,
  "volume": 2,
  "openInterest": 2,
  "impliedVolatility": 2.83
}

news:

{
  "query": "TSLA",
  "title": "Tesla Remains One of the Last Great Founder-Led Tech Giants…",
  "publisher": "Motley Fool",
  "link": "https://finance.yahoo.com/m/…/elon-musk%27s-tesla-remains-one.html",
  "publishedAt": "2026-07-19T19:25:00.000Z",
  "relatedTickers": ["TSLA", "MSFT", "NVDA"]
}

Download in JSON, HTML, CSV, or Excel from the dataset page, or fetch rows programmatically through the API.

How to scrape Yahoo Finance data

1. Open Yahoo Finance Scraper on Apify and click Try for free.
2. Pick an operation (quotes, historical, fundamentals, analysis, options, news, search, or screener).
3. Enter tickers (symbols or Yahoo quote URLs) or a query, and adjust range/interval/maxItems as needed.
4. Start the run and wait for the dataset to populate — most runs finish in seconds.
5. Download results as JSON, CSV, Excel, HTML, XML, or RSS, or open them straight in Google Sheets.
6. Automate it with Apify scheduling, integrations, or the Apify API.

How to use the Yahoo Finance API in Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("parsebird/yahoo-finance-scraper").call(run_input={
    "operation": "historical",
    "tickers": ["TSLA"],
    "range": "5y",
    "interval": "1d",
    "includeEvents": True,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items[:2])

How to use the Yahoo Finance API in JavaScript

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('parsebird/yahoo-finance-scraper').call({
    operation: 'quotes',
    tickers: ['AAPL', 'MSFT', 'BTC-USD', '^GSPC'],
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Use cases

• Portfolio tracking — Pull live quotes for a watchlist and feed them into dashboards or alerts
• Backtesting — Download years of OHLCV historical prices with adjusted close and corporate actions
• Fundamental screening — Compare revenue, margins, free cash flow, and debt across annual or quarterly periods
• Sentiment and news monitoring — Track headlines and related tickers for specific companies
• Options analysis — Pull full options chains to model implied volatility or open interest across strikes
• Market scanning — Run Yahoo's predefined screeners (day gainers, most active) on a schedule

How it works

1. Opens a Yahoo Finance session and negotiates the crumb/cookie pair Yahoo's own frontend uses to authenticate API calls
2. Resolves each ticker input — plain symbols or full Yahoo quote URLs — to a clean symbol
3. Calls the operation-specific Yahoo Finance endpoint (quote, chart, fundamentals timeseries, quoteSummary, options chain, or search/screener)
4. Normalizes the response into flat rows: candles, statement periods, option contracts, or article records
5. Pushes rows to the dataset and stops early once maxItems or your spending limit is reached

How much does it cost to scrape Yahoo Finance?

Yahoo Finance Scraper uses pay-per-event pricing — you pay per row returned, not per API call made internally.

Event	Price per event	Price per 1,000
record-scraped	$0.0009 (Free) / $0.0008 (Bronze, Silver) / $0.0007 (Gold)	$0.90 / $0.80 / $0.70

A quotes run for 4 tickers costs a fraction of a cent. A historical run for 1 ticker over 5 years (~1,260 daily candles) costs roughly $1.13 on the Free plan. Apify's free trial credits cover typical test runs.

Is it legal to scrape Yahoo Finance data?

Yahoo Finance Scraper extracts publicly available market data from the same endpoints Yahoo Finance's own website uses to render quote, chart, and options pages. Scraping publicly accessible data is generally lawful, but you're responsible for how you use the results — always review Yahoo's Terms of Service and Apify's guide on the legality of web scraping before running large or automated workloads. This actor does not provide investment advice.

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FAQ

Do I need a Yahoo Finance API key? No. Yahoo doesn't offer a public, documented finance API. This actor handles the session/crumb handshake Yahoo's own frontend uses, so you don't need any credentials.

Which tickers are supported? Any symbol Yahoo Finance recognizes: stocks (AAPL), indices (^GSPC), crypto pairs (BTC-USD), and ETFs. You can also paste a full Yahoo quote URL and the actor extracts the symbol.

Why does fundamentals return 34 fields but not a full income statement? Yahoo deprecated its legacy detailed statement API in 2024. This actor uses Yahoo's current fundamentals-timeseries endpoint, which still exposes revenue, margins, cash flow, debt, and equity metrics per annual and quarterly period.

Can I schedule recurring runs? Yes. Use Apify scheduling to run daily, hourly, or at any interval, then connect the dataset to integrations or webhooks.

Does this actor require a proxy? A residential Apify Proxy is enabled by default because Yahoo Finance rate-limits repeated requests from the same IP. You can override it in the proxy input if you have your own proxy group.

How do I pull multiple years of options data? Increase optionsExpirations to pull more of a ticker's upcoming expiration dates in a single run.

How do I report a problem or request a field? Open an issue from the Actor page in Apify Console and include the run ID, input, and operation used.