# Yahoo Finance quote monitor: daily, only the tickers that moved

**Use case:** 

A daily watch on three Yahoo Finance tickers (AAPL, MSFT, TSLA). The first run delivers every ticker with its quote, statistics, profile and a month of daily bars; each later run delivers and charges only the tickers whose price, volume, market cap, 52-week range, P/E or dividend yield moved since the last delivery, with the previous values. A market that did not move costs nothing.

## Input

```json
{
  "tickers": [
    "AAPL",
    "MSFT",
    "TSLA"
  ],
  "historyRange": "1mo",
  "historyInterval": "1d",
  "onlyChanged": true,
  "stateStoreName": "",
  "maxItems": 100
}
```

## Output

```json
{
  "row_type": {
    "label": "Row type",
    "format": "string"
  },
  "input_index": {
    "label": "Input #",
    "format": "integer"
  },
  "input_value": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "status_detail": {
    "label": "Status detail",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  },
  "symbol": {
    "label": "Symbol",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "short_name": {
    "label": "Short name",
    "format": "string"
  },
  "quote_type": {
    "label": "Type",
    "format": "string"
  },
  "exchange": {
    "label": "Exchange code",
    "format": "string"
  },
  "exchange_name": {
    "label": "Exchange",
    "format": "string"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "market_state": {
    "label": "Market state",
    "format": "string"
  },
  "market_time": {
    "label": "Price time",
    "format": "string"
  },
  "quote_delay_minutes": {
    "label": "Delay (min)",
    "format": "integer"
  },
  "timezone": {
    "label": "Time zone",
    "format": "string"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "change": {
    "label": "Change",
    "format": "number"
  },
  "change_percent": {
    "label": "Change %",
    "format": "number"
  },
  "previous_close": {
    "label": "Previous close",
    "format": "number"
  },
  "open": {
    "label": "Open",
    "format": "number"
  },
  "day_low": {
    "label": "Day low",
    "format": "number"
  },
  "day_high": {
    "label": "Day high",
    "format": "number"
  },
  "volume": {
    "label": "Volume",
    "format": "integer"
  },
  "avg_volume_3m": {
    "label": "Avg volume (3 mo)",
    "format": "integer"
  },
  "avg_volume_10d": {
    "label": "Avg volume (10 d)",
    "format": "integer"
  },
  "market_cap": {
    "label": "Market cap",
    "format": "integer"
  },
  "bid": {
    "label": "Bid",
    "format": "number"
  },
  "ask": {
    "label": "Ask",
    "format": "number"
  },
  "fifty_two_week_low": {
    "label": "52-week low",
    "format": "number"
  },
  "fifty_two_week_high": {
    "label": "52-week high",
    "format": "number"
  },
  "fifty_two_week_change_percent": {
    "label": "52-week change %",
    "format": "number"
  },
  "fifty_day_average": {
    "label": "50-day average",
    "format": "number"
  },
  "two_hundred_day_average": {
    "label": "200-day average",
    "format": "number"
  },
  "pre_market_price": {
    "label": "Pre-market price",
    "format": "number"
  },
  "pre_market_change_percent": {
    "label": "Pre-market change %",
    "format": "number"
  },
  "post_market_price": {
    "label": "After-hours price",
    "format": "number"
  },
  "post_market_change_percent": {
    "label": "After-hours change %",
    "format": "number"
  },
  "pe_trailing": {
    "label": "P/E (trailing)",
    "format": "number"
  },
  "pe_forward": {
    "label": "P/E (forward)",
    "format": "number"
  },
  "eps_trailing": {
    "label": "EPS (trailing)",
    "format": "number"
  },
  "eps_forward": {
    "label": "EPS (forward)",
    "format": "number"
  },
  "peg_ratio": {
    "label": "PEG ratio",
    "format": "number"
  },
  "price_to_book": {
    "label": "Price to book",
    "format": "number"
  },
  "price_to_sales": {
    "label": "Price to sales",
    "format": "number"
  },
  "book_value": {
    "label": "Book value / share",
    "format": "number"
  },
  "beta": {
    "label": "Beta",
    "format": "number"
  },
  "dividend_rate": {
    "label": "Dividend rate",
    "format": "number"
  },
  "dividend_yield_percent": {
    "label": "Dividend yield %",
    "format": "number"
  },
  "ex_dividend_date": {
    "label": "Ex-dividend date",
    "format": "string"
  },
  "payout_ratio_percent": {
    "label": "Payout ratio %",
    "format": "number"
  },
  "shares_outstanding": {
    "label": "Shares outstanding",
    "format": "integer"
  },
  "float_shares": {
    "label": "Float",
    "format": "integer"
  },
  "enterprise_value": {
    "label": "Enterprise value",
    "format": "integer"
  },
  "enterprise_to_revenue": {
    "label": "EV / revenue",
    "format": "number"
  },
  "enterprise_to_ebitda": {
    "label": "EV / EBITDA",
    "format": "number"
  },
  "held_by_insiders_percent": {
    "label": "Held by insiders %",
    "format": "number"
  },
  "held_by_institutions_percent": {
    "label": "Held by institutions %",
    "format": "number"
  },
  "short_ratio": {
    "label": "Short ratio",
    "format": "number"
  },
  "total_revenue": {
    "label": "Revenue (ttm)",
    "format": "integer"
  },
  "revenue_growth_percent": {
    "label": "Revenue growth %",
    "format": "number"
  },
  "earnings_growth_percent": {
    "label": "Earnings growth %",
    "format": "number"
  },
  "gross_margin_percent": {
    "label": "Gross margin %",
    "format": "number"
  },
  "operating_margin_percent": {
    "label": "Operating margin %",
    "format": "number"
  },
  "profit_margin_percent": {
    "label": "Profit margin %",
    "format": "number"
  },
  "ebitda": {
    "label": "EBITDA",
    "format": "integer"
  },
  "return_on_equity_percent": {
    "label": "Return on equity %",
    "format": "number"
  },
  "total_cash": {
    "label": "Total cash",
    "format": "integer"
  },
  "total_debt": {
    "label": "Total debt",
    "format": "integer"
  },
  "free_cashflow": {
    "label": "Free cash flow",
    "format": "integer"
  },
  "financial_currency": {
    "label": "Financials currency",
    "format": "string"
  },
  "target_mean_price": {
    "label": "Target price (mean)",
    "format": "number"
  },
  "target_high_price": {
    "label": "Target price (high)",
    "format": "number"
  },
  "target_low_price": {
    "label": "Target price (low)",
    "format": "number"
  },
  "recommendation_key": {
    "label": "Recommendation",
    "format": "string"
  },
  "recommendation_mean": {
    "label": "Recommendation score",
    "format": "number"
  },
  "analyst_opinions": {
    "label": "Analysts",
    "format": "integer"
  },
  "fund_family": {
    "label": "Fund family",
    "format": "string"
  },
  "fund_category": {
    "label": "Fund category",
    "format": "string"
  },
  "total_assets": {
    "label": "Total assets",
    "format": "integer"
  },
  "expense_ratio_percent": {
    "label": "Expense ratio %",
    "format": "number"
  },
  "ytd_return_percent": {
    "label": "YTD return %",
    "format": "number"
  },
  "circulating_supply": {
    "label": "Circulating supply",
    "format": "integer"
  },
  "volume_24h": {
    "label": "Volume (24 h)",
    "format": "integer"
  },
  "sector": {
    "label": "Sector",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "ir_website": {
    "label": "Investor relations",
    "format": "string"
  },
  "employees": {
    "label": "Employees",
    "format": "integer"
  },
  "business_summary": {
    "label": "Business summary",
    "format": "string"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "first_trade_date": {
    "label": "First trade",
    "format": "string"
  },
  "history_range": {
    "label": "History range",
    "format": "string"
  },
  "history_interval": {
    "label": "History interval",
    "format": "string"
  },
  "history_status": {
    "label": "History status",
    "format": "string"
  },
  "history_detail": {
    "label": "History detail",
    "format": "string"
  },
  "history_count": {
    "label": "Bars",
    "format": "integer"
  },
  "history_first_date": {
    "label": "First bar",
    "format": "string"
  },
  "history_last_date": {
    "label": "Last bar",
    "format": "string"
  },
  "history": {
    "label": "History",
    "format": "array"
  },
  "dividends": {
    "label": "Dividends",
    "format": "array"
  },
  "splits": {
    "label": "Splits",
    "format": "array"
  },
  "change_type": {
    "label": "Change",
    "format": "string"
  },
  "changed_fields": {
    "label": "Changed fields",
    "format": "array"
  },
  "previous": {
    "label": "Previous values",
    "format": "object"
  },
  "previous_read_at": {
    "label": "Previous delivery",
    "format": "string"
  },
  "previous_price": {
    "label": "Previous price",
    "format": "number"
  },
  "price_change": {
    "label": "Price change since delivery",
    "format": "number"
  },
  "price_change_percent": {
    "label": "Price change since delivery, %",
    "format": "number"
  },
  "first_read_at": {
    "label": "First read",
    "format": "string"
  },
  "times_read": {
    "label": "Times read",
    "format": "integer"
  }
}
```

## How it works

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

The Yahoo Finance Scraper: Stock Quotes, Statistics & History Actor is ready to run with the inputs already set for "Yahoo Finance quote monitor: daily, only the tickers that moved". [Sign up or log in](https://console.apify.com/create-task-from-example/rFd5jobmA6hOlYTgT) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Yahoo Finance quote monitor: daily, only the tickers that moved" task

The Yahoo Finance Scraper: Stock Quotes, Statistics & History Actor will start running based on the input automatically. You can also change all the input fields, like tickers, price history range, and more, to match your specific use case.

### 3. Receive the "Yahoo Finance quote monitor: daily, only the tickers that moved" 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 row type, input #, input, 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 "Yahoo Finance quote monitor: daily, only the tickers that moved" task via API](https://apify.com/hyperbach/yahoo-finance-scraper.md).

## About this Actor

This example demonstrates how to use [Yahoo Finance Scraper: Stock Quotes, Statistics & History](https://apify.com/hyperbach/yahoo-finance-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/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/hyperbach/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`).