How much does Yahoo Finance Ticker Symbol Lookup by Company Name cost?

$0.001 per item — $1 per 1,000. Billing is pay-per-result on your own Apify account: no subscription, and a run that returns nothing costs nothing.

What do I need to provide to run Yahoo Finance Ticker Symbol Lookup by Company Name?

Nothing is mandatory — every field has a working default. The settings you will usually change are Mode, Search query (search mode), Symbols (quote / history mode), Range (history / quote mode), Interval (history mode).

Do I need to code to use Yahoo Finance Ticker Symbol Lookup by Company Name?

No. It is a ready-to-run cloud tool: open it on Apify, fill in the form, click Run, and download the results. Everything runs on Apify's servers, so there is nothing to install or host.

Yahoo Finance Ticker Symbol Lookup by Company Name

Q: What data does Yahoo Finance Ticker Symbol Lookup by Company Name return?

A structured dataset with 17 fields per record, including changePct, close, currency, date, exchange, fiftyTwoWeekHigh, fiftyTwoWeekLow, high, industry, low, marketTime, name. Export it as JSON, CSV or Excel, or send it straight to your app, a database or an AI agent.

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.

$0.001 per item ($1 / 1,000)

Run this use case nowRun on Apify →

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.

Pricing

$0.001 per item = $1 per 1,000

You are charged for	When	Price
Item returned	Charged per quote/history row returned.	$0.001

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-12, and they are what you are actually charged.

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:

changePctclosecurrencydateexchangefiftyTwoWeekHighfiftyTwoWeekLowhighindustrylowmarketTimenameopenpreviousClosesymbolpricevolume

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

More use cases for Yahoo Finance Scraper

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.

Built on Yahoo Finance Scraper — see every input, output field and price on the tool page.

Where this tool sits

Categories: News & Finance Data
Platforms: Finance & Markets