Yahoo Finance Scraper

Get Yahoo Finance data without an API key: search tickers, real-time quotes, and OHLCV price history for stocks, ETFs, FX and crypto as JSON.

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News & Finance Data

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust mode, query, symbols (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

Field	What it does	Type
`mode`	What to fetch. "search" = find ticker symbols by name (uses Query). "quote" = current price snapshot for each Symbol. "history" = OHLCV price history for each Symbol over Range/Interval.	string
`query`	Company or asset name to search ticker symbols for, e.g. "apple", "vanguard s&p 500", "bitcoin". Only used when Mode is "search".	string
`symbols`	One or more ticker symbols to fetch, e.g. AAPL, MSFT, ^GSPC (S&P 500 index), EURUSD=X (FX), BTC-USD (crypto). Used by "quote" and "history" modes.	array
`range`	How far back the price history goes (history mode). Longer ranges return more rows.	string
`interval`	The candle size / sampling interval for history. Intraday intervals (1m, 5m) only work with short ranges (about 1d-1mo).	string
`maxItems`	Maximum number of result rows to return and charge for (caps history bars and search results). Quotes return one row per symbol.	integer
`notionConnector`	Optional. Write each item as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.	string
`notionParentId`	Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.	string

What you get

A structured dataset — each result includes fields like:

changePctclosecurrencydateexchangefiftyTwoWeekHighfiftyTwoWeekLowhighindustrylowmarketTimenameopenpreviousClose

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

3 ready-to-run use cases

Yahoo Finance Ticker Symbol Lookup by Company Name

Don't know the ticker? Search any company, fund, or ETF by name on Yahoo Finance and get back matching stock symbols, exchange, and quote type.

AAPL Live Stock Quote from Yahoo Finance API

Real-time AAPL quote with current price, currency, daily change, and 52-week high/low in a single row. Re-run any time for a fresh Apple stock snapshot.

TSLA Historical Daily Price Data, 1 Year OHLCV

One year of daily open, high, low, close, and volume bars for Tesla (TSLA), ready to drop into a backtest, chart, or quant model from Yahoo Finance.

Yahoo Finance Scraper

Scrape Yahoo Finance with no API key and no login. Three modes:

search — find ticker symbols by name (e.g. "apple" → AAPL).
quote — current price snapshot for one or more symbols.
history — OHLCV price history (candles) over a range/interval.

Works for stocks, ETFs, indices (^GSPC), FX (EURUSD=X) and crypto (BTC-USD).

It calls Yahoo's public JSON endpoints directly (query1/query2.finance.yahoo.com) — no HTML parsing, no scraping fragility.

Input

Field	Type	Default	Notes
`mode`	string	`quote`	`search` \	`quote` \	`history`
`query`	string	—	Search text (search mode), e.g. `apple`
`symbols`	array	—	Tickers (quote/history mode), e.g. `["AAPL","MSFT","BTC-USD"]`
`range`	string	`1mo`	`1d,5d,1mo,3mo,6mo,1y,5y,max` (history)
`interval`	string	`1d`	`1m,5m,1d,1wk,1mo` (history; intraday needs short range)
`maxItems`	integer	`100`	Caps history rows / search results
`proxyConfiguration`	object	`{ "useApifyProxy": false }`	Optional; only needed if Yahoo rate-limits your IP (429)

Examples

{ "mode": "search", "query": "apple", "maxItems": 20 }

{ "mode": "quote", "symbols": ["AAPL", "MSFT", "BTC-USD"] }

{ "mode": "history", "symbols": ["AAPL"], "range": "1mo", "interval": "1d" }

Output

search rows:

{ "symbol": "AAPL", "name": "Apple Inc.", "exchange": "NASDAQ", "quoteType": "EQUITY", "sector": "Technology", "industry": "Consumer Electronics" }

quote rows:

{ "symbol": "AAPL", "price": 201.0, "currency": "USD", "exchange": "NMS", "previousClose": 198.0, "changePct": 1.52, "fiftyTwoWeekHigh": 260.1, "fiftyTwoWeekLow": 169.2, "marketTime": "2026-06-11T20:00:00.000Z" }

history rows (one per bar):

{ "symbol": "AAPL", "date": "2026-05-12T13:30:00.000Z", "open": 210.9, "high": 211.3, "low": 206.7, "close": 207.0, "volume": 51000000 }

Every successful row has ok: true. Failures and empty results come back as ok: false rows with an errorCode (RATE_LIMITED, NOT_FOUND, NO_RESULTS, BAD_INPUT, NETWORK, …) and are never charged.

Pricing

Pay-per-result: one charge per successful row (item). Diagnostic, empty, and rate-limited rows are not charged.

Notes

Yahoo rejects generic User-Agents — the actor always sends a browser-like UA and rotates it per retry.
Yahoo rate-limits aggressively. On HTTP 429 the actor backs off and retries; persistent limits surface as RATE_LIMITED rows. Enable Apify Proxy if you hit this under high volume.
Invalid symbols surface as NOT_FOUND rows (other symbols in the batch still return data).