# Scrape Fortune Future 50 Financial Data 2023

**Use case:** 

Extract detailed financial and company metadata for all companies on the Fortune Future 50 list for 2023. This allows venture capitalists and innovation strateg

## Input

```json
{
  "mode": "future50",
  "listYear": 2023,
  "maxItems": 50
}
```

## Output

```json
{
  "rank": {
    "label": "Rank"
  },
  "name": {
    "label": "Name"
  },
  "sector": {
    "label": "Sector"
  },
  "industry": {
    "label": "Industry"
  },
  "revenues": {
    "label": "Revenues"
  },
  "employees": {
    "label": "Employees"
  },
  "country": {
    "label": "Country"
  },
  "listName": {
    "label": "List name"
  }
}
```

## About this Actor

This example demonstrates how to use [Fortune Rankings Scraper](https://apify.com/crawlerbros/fortune-rankings-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/fortune-rankings-scraper) to learn more, explore other use cases, and run it yourself.


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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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/crawlerbros/fortune-rankings-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).