# Manufacturing Companies in Germany with 50–500 Employees

**Use case:** 

Mid-sized manufacturers in Germany, the Mittelstand, with 50 to 500 employees: name, domain, LinkedIn company page, headcount, industry, HQ and founding year, largest companies first. A target-account list for industrial suppliers, software and services. Feed the domains into a decision-maker search to reach the Geschäftsführer of each company.

## Input

```json
{
  "countries": [
    "de"
  ],
  "industries": [
    "Manufacturing"
  ],
  "employeesMin": 50,
  "employeesMax": 500,
  "includeCompaniesWithoutHeadcount": false,
  "hasFunding": true,
  "sort": "employee_count_desc",
  "previewOnly": false,
  "maxResults": 100
}
```

## Output

```json
{
  "name": {
    "label": "Company",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "verticals": {
    "label": "Verticals",
    "format": "array"
  },
  "funding": {
    "label": "Funding",
    "format": "object"
  },
  "hq": {
    "label": "HQ",
    "format": "object"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "founded": {
    "label": "Founded",
    "format": "number"
  },
  "employeeCount": {
    "label": "Employees",
    "format": "number"
  }
}
```

## How it works

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

The LinkedIn Company Search Scraper — 115M Companies, Free Counts Actor is ready to run with the inputs already set for "Manufacturing Companies in Germany with 50–500 Employees". [Sign up or log in](https://console.apify.com/create-task-from-example/vTdorL6Z59K0IDwe3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Manufacturing Companies in Germany with 50–500 Employees" task

The LinkedIn Company Search Scraper — 115M Companies, Free Counts Actor will start running based on the input automatically. You can also change all the input fields, like countries, industries, and more, to match your specific use case.

### 3. Receive the "Manufacturing Companies in Germany with 50–500 Employees" 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 company, industry, verticals, 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 "Manufacturing Companies in Germany with 50–500 Employees" task via API](https://apify.com/b2bsearch/company-database-search.md).

## FAQ

### What does the German manufacturers task return?

The German manufacturers task returns manufacturing companies in Germany with 50 to 500 employees: name, domain, company page, headcount, industry, HQ, founding year and description, largest first.

### Does Manufacturing include sub-industries?

A sector name covers every industry below it, so the German manufacturers task also returns machinery, automotive parts, chemicals and other manufacturing sub-industries.

### How do I limit the list to one region, such as Bavaria?

Add a city or state to HQ locations in the German manufacturers task, for example München, Stuttgart or Bayern. The HQ address is free text, so try the local and the English spelling.

### How do I reach the managing director of each company?

Pass the domains from the German manufacturers task to a decision-maker search by domain with founder and C-level roles; German Geschäftsführer titles fall in the C-level bucket.

## About this Actor

This example demonstrates how to use [LinkedIn Company Search Scraper — 115M Companies, Free Counts](https://apify.com/b2bsearch/company-database-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bsearch/company-database-search.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/b2bsearch/company-database-search.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`).