# Stock Fundamentals & Company Profile

**Use case:** 

Pull one ticker's full record: sector, industry, HQ, employees, business description, revenue, profit margin, analyst target and price-history span.

## Input

```json
{
  "mode": "detail",
  "symbol": "AAPL",
  "symbols": [
    "AAPL",
    "MSFT",
    "GOOGL",
    "TSLA",
    "NVDA"
  ],
  "bulkSymbols": "",
  "query": "electric vehicle",
  "searchLimit": 10,
  "includeChart": true,
  "chartRange": "1mo",
  "chartInterval": "1d",
  "proxyCountry": "US"
}
```

## Output

```json
{
  "id": {
    "label": "🏷️ Ticker",
    "format": "string"
  },
  "title": {
    "label": "🏢 Name",
    "format": "string"
  },
  "price": {
    "label": "💲 Price",
    "format": "number"
  },
  "currency": {
    "label": "💱 Currency",
    "format": "string"
  },
  "change_percent": {
    "label": "📊 Change %",
    "format": "number"
  },
  "market_cap": {
    "label": "🏦 Market Cap",
    "format": "integer"
  },
  "quote_type": {
    "label": "🧩 Type",
    "format": "string"
  },
  "exchange": {
    "label": "🏛️ Exchange",
    "format": "string"
  },
  "source": {
    "label": "🔗 Source",
    "format": "string"
  },
  "url": {
    "label": "🌐 Yahoo URL",
    "format": "string"
  },
  "long_name": {
    "label": "🏢 Long Name",
    "format": "string"
  },
  "fifty_two_week_high": {
    "label": "⬆️ 52-Week High",
    "format": "number"
  },
  "fifty_two_week_low": {
    "label": "⬇️ 52-Week Low",
    "format": "number"
  },
  "day_range": {
    "label": "📐 Day Range",
    "format": "string"
  },
  "volume": {
    "label": "🔁 Volume",
    "format": "integer"
  },
  "trailing_pe": {
    "label": "📉 Trailing P/E",
    "format": "number"
  },
  "forward_pe": {
    "label": "📈 Forward P/E",
    "format": "number"
  },
  "dividend_yield": {
    "label": "💰 Dividend Yield %",
    "format": "number"
  },
  "eps_trailing": {
    "label": "🧾 EPS (TTM)",
    "format": "number"
  },
  "book_value": {
    "label": "📚 Book Value",
    "format": "number"
  },
  "sector": {
    "label": "🏭 Sector",
    "format": "string"
  },
  "industry": {
    "label": "⚙️ Industry",
    "format": "string"
  },
  "location": {
    "label": "📍 HQ Location",
    "format": "string"
  },
  "website": {
    "label": "🔗 Website",
    "format": "string"
  },
  "employees": {
    "label": "👥 Employees",
    "format": "integer"
  },
  "description": {
    "label": "📝 Business Summary",
    "format": "string"
  },
  "target_mean_price": {
    "label": "🎯 Analyst Target",
    "format": "number"
  },
  "recommendation": {
    "label": "📊 Recommendation",
    "format": "string"
  },
  "profit_margins": {
    "label": "💹 Profit Margin",
    "format": "number"
  },
  "total_revenue": {
    "label": "💵 Total Revenue",
    "format": "integer"
  },
  "history_points": {
    "label": "📈 History Points",
    "format": "integer"
  },
  "history_start": {
    "label": "🕐 History Start",
    "format": "integer"
  },
  "history_end": {
    "label": "🕒 History End",
    "format": "integer"
  },
  "images": {
    "label": "🖼️ Images",
    "format": "array"
  },
  "image_count": {
    "label": "🔢 Image Count",
    "format": "integer"
  },
  "thumbnail": {
    "label": "🖼️ Thumbnail",
    "format": "string"
  },
  "_operation": {
    "label": "🧭 Operation",
    "format": "string"
  },
  "_index": {
    "label": "#️⃣ Index",
    "format": "integer"
  },
  "errorMessage": {
    "label": "⚠️ Error Message",
    "format": "string"
  },
  "processedAt": {
    "label": "🕐 Processed At",
    "format": "string"
  },
  "scrapingDate": {
    "label": "🗓️ Scraping Date",
    "format": "string"
  },
  "status": {
    "label": "✅ Status",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).