# Historical Stock Prices (OHLCV) from Yahoo Finance, Daily Rows

**Use case:** 

Daily open, high, low, close, adjusted close and volume for SPY, QQQ and AAPL over the last 5 trading days, one row per bar, ready for a spreadsheet or a backtest. A template for any price history: set the symbols, a range up to all available history or exact start and end dates, and an interval from 1 minute to 3 months.

## Input

```json
{
  "symbols": [
    "SPY",
    "QQQ",
    "AAPL"
  ],
  "maxScreenerResults": 25,
  "includeProfile": false,
  "includeStatistics": false,
  "includeAnalyst": false,
  "includeHistory": true,
  "historyRange": "5d",
  "historyInterval": "1d",
  "historyAsRows": true,
  "includeFinancials": false,
  "includeNews": false,
  "maxNewsPerSymbol": 10,
  "includeOptions": false,
  "maxOptionExpirations": 1,
  "optionsAsRows": false,
  "maxConcurrency": 5,
  "requestDelaySeconds": 0
}
```

## Output

```json
{
  "symbol": {
    "label": "Symbol",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "open": {
    "label": "Open",
    "format": "number"
  },
  "high": {
    "label": "High",
    "format": "number"
  },
  "low": {
    "label": "Low",
    "format": "number"
  },
  "close": {
    "label": "Close",
    "format": "number"
  },
  "adjClose": {
    "label": "Adj close",
    "format": "number"
  },
  "volume": {
    "label": "Volume",
    "format": "number"
  },
  "interval": {
    "label": "Interval",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Yahoo Finance Scraper: Stock Quotes, History & Fundamentals Actor is ready to run with the inputs already set for "Historical Stock Prices (OHLCV) from Yahoo Finance, Daily Rows". [Sign up or log in](https://console.apify.com/create-task-from-example/WftboVkagUUGCpKcS) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Historical Stock Prices (OHLCV) from Yahoo Finance, Daily Rows" task

The Yahoo Finance Scraper: Stock Quotes, History & Fundamentals Actor will start running based on the input automatically. You can also change all the input fields, like symbols, max screener results, and more, to match your specific use case.

### 3. Receive the "Historical Stock Prices (OHLCV) from Yahoo Finance, Daily Rows" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as symbol, date, open, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Historical Stock Prices (OHLCV) from Yahoo Finance, Daily Rows" task via API](https://apify.com/datagleaner/yahoo-finance-scraper.md).

## About this Actor

This example demonstrates how to use [Yahoo Finance Scraper: Stock Quotes, History & Fundamentals](https://apify.com/datagleaner/yahoo-finance-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datagleaner/yahoo-finance-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datagleaner/yahoo-finance-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).