# Nuernberg Messe Exhibitor Scraper - Preiswert Low-cost 💲🚀🇩🇪 (`delectable_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost`) Actor

Looking to extract AFAG exhibitor data in Germany? 🚀
This scraper collects company names, locations, halls, booth numbers, descriptions and profile URLs in a clean, structured format. Ideal for B2B lead generation, trade fair intelligence, sales prospecting, CRM enrichment and market research 📊

- **URL**: https://apify.com/delectable\_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Developer tools, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).


# README

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Messe Düsseldorf Exhibitor Scraper - B2B Trade Fair Data" width="100%">
</p>

### NürnbergMesse Exhibitor Scraper 🔍🇩🇪🏢 

Extract structured exhibitor and company data from NürnbergMesse trade fair directories with PrimeScrape.

This Apify Actor transforms NürnbergMesse exhibitor listings into clean, structured, and analytics-ready datasets — built for scalability, automation, and high performance.

Ideal for B2B lead generation, trade fair intelligence, CRM enrichment, sales prospecting, and market research 📊✨

---

### NürnbergMesse Aussteller-Scraper 🔍🏢🇩🇪

Extrahieren Sie strukturierte Aussteller- und Unternehmensdaten aus NürnbergMesse-Messeverzeichnissen mit PrimeScrape.

Dieser Apify Actor wandelt Ausstellerlisten in saubere, strukturierte und analysebereite Datensätze um — optimiert für Skalierbarkeit, Automatisierung und Zuverlässigkeit.

Perfekt für B2B-Leadgenerierung, Messeanalyse, Vertriebsrecherche und internationale Marktforschung 📊✨

---

### 🌍 What This Scraper Does

PrimeScrape automatically extracts exhibitor data from NürnbergMesse-powered event websites using their modern exhibitor search structure.

Supports major events such as:

embedded world, FACHPACK, Interzoo, Chillventa, GaLaBau, IWA OutdoorClassics, EUROGUSS, and many more.

---

### 🚀 Key Features

✔ Multi-event NürnbergMesse support

✔ Extracts dynamic & lazy-loaded content

✔ Clean, structured & export-ready data

✔ Fast, scalable & production-ready

---

### 📊 Data Extracted

For each exhibitor:

🏢 Company / Exhibitor Name
🌍 Country
🏭 Exhibitor Type (Manufacturer, Distributor, etc.)
🏛️ Hall
📦 Booth / Stand Number
📍 Full Location
🖼️ Company Logo
🆔 Exhibitor ID
🔗 Profile URL

---

### 📥 Input Configuration

Example Input

````

{
"target\_url": "https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors",
"max\_items": 100
}

```

Input Fields

| Field      | Type    | Description                             |
| ---------- | ------- | --------------------------------------- |
| target_url | string  | NürnbergMesse exhibitor search page URL |
| max_items  | integer | Maximum number of exhibitors to scrape  |


---

### ⚙️ How It Works

Provide a NürnbergMesse exhibitor search URL

The actor automatically scrolls and loads all exhibitors

Extracts structured data from each profile

Stores results in a ready-to-use dataset

---

### 📤 Output Example

```

{
"exhibitorId": "NM-31245",
"exhibitorName": "Industrial Automation Solutions GmbH",
"country": "Germany",
"exhibitorType": "Manufacturer",
"hall": "7",
"booth": "421",
"location": "Hall 7, Booth 421",
"logoUrl": "https://example.com/logo.png",
"profileUrl": "https://www.embedded-world.de/en/exhibitors/industrial-automation-solutions"
}

````
---

### 📁 Dataset Views

Overview: exhibitor, hall, booth, type

Detailed profiles: logo, ID, full info

CRM-ready exports (CSV, Excel, JSON)

Filtering by country, hall, or exhibitor type

---

### 🌐 Use Cases

- 🏢 B2B Lead Generation – build targeted exhibitor databases

- 📊 Market Intelligence – analyze NürnbergMesse ecosystems

- 🎯 Sales Prospecting – identify suppliers & partners

- 🧠 Competitive Analysis – map industry players

- 🔄 CRM Enrichment – structured company data at scale

---

### 🌍 Supported NürnbergMesse Events

This scraper supports all NürnbergMesse events using the same exhibitor directory structure, including:

- [embedded world Exhibitor List – embedded-world.de](https://www.embedded-world.de/en/exhibitors-products/find-exhibitors)  
- [FACHPACK Exhibitor List – fachpack.de](https://www.fachpack.de/en/exhibitors-products/find-exhibitors)  
- [Interzoo Exhibitor List – interzoo.com](https://www.interzoo.com/en/exhibitors-products/find-exhibitors)  
- [Chillventa Exhibitor List – chillventa.de](https://www.chillventa.de/en/exhibitors-products/find-exhibitors)  
- [GaLaBau Exhibitor List – galabau-messe.com](https://www.galabau-messe.com/en/exhibitors-products/find-exhibitors)  
- [EUROGUSS Exhibitor List – euroguss.de](https://www.euroguss.de/en/exhibitors-products/find-exhibitors)  
- [IWA OutdoorClassics Exhibitor List – iwa.info](https://www.iwa.info/en/exhibitors-products/find-exhibitors)  
- [ALTEN PFLEGE Exhibitor List – altenpflege-messe.de](https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors)  
- [POWTECH TECHNOPHARM Exhibitor List – powtech-technopharm.com](https://www.powtech-technopharm.com/en/exhibitors-products/find-exhibitors)  
- [HOLZ-HANDWERK Exhibitor List – holz-handwerk.de](https://www.holz-handwerk.de/en/exhibitors-products/find-exhibitors)  
- [FENSTERBAU FRONTALE Exhibitor List – frontale.de](https://www.frontale.de/en/exhibitors-products/find-exhibitors)  
- [ENFORCE TAC Exhibitor List – enforcetac.com](https://www.enforcetac.com/en/exhibitors-products/find-exhibitors)  
- [PERIMETER PROTECTION Exhibitor List – perimeter-protection.de](https://www.perimeter-protection.de/en/exhibitors-products/find-exhibitors)  
- [KOMMUNALE Exhibitor List – kommunale.de](https://www.kommunale.de/en/exhibitors-products/find-exhibitors)  
- [CONSOZIAL Exhibitor List – consozial.de](https://www.consozial.de/en/exhibitors-products/find-exhibitors)  
- [BERUFS-BILDUNG Exhibitor List – berufsbildung-messe.de](https://www.berufsbildung-messe.de/en/exhibitors-products/find-exhibitors)  
- [HEAT PUMP SUMMIT Exhibitor List – hp-summit.de](https://www.hp-summit.de/en/exhibitors-products/find-exhibitors)  

and more (any NürnbergMesse event using the same exhibitor search structure is supported) 🚀

---

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $3.99 / 1000 results

---

### Related Actors 

If you're interested in other exhibitor (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe 🇩🇪🇪🇺

(Coming soon)

---

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Nürnberg Messe.

---

### 📬 Support

⭐ Leave a 5-star rating if you like this tool

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify.

# Actor input Schema

## `urls` (type: `array`):

List of NuernbergMesse exhibitor search page URLs to scrape.

Supported events:
• https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors
• https://www.berufsbildung-messe.de/de-de/aussteller-produkte/aussteller-finden
• https://www.consozial.de/de-de/ausstellende-produkte/ausstellende-finden
• And all other *.nuernbergmesse.de event sites

Note: CMP cookie consent (Alle Dienste zulassen) is handled automatically if present.
## `max_items` (type: `integer`):

Maximum exhibitor listings to collect per URL.

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors"
    }
  ],
  "max_items": 80
}
````

# Actor output Schema

## `overview` (type: `string`):

No description

## `detailed_exhibitors` (type: `string`):

No description

## `by_country` (type: `string`):

No description

## `by_hall` (type: `string`):

No description

## `by_type` (type: `string`):

No description

## `compact_list` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        {
            "url": "https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors"
        }
    ],
    "max_items": 80
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [{ "url": "https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors" }],
    "max_items": 80,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    {
      "url": "https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors"
    }
  ],
  "max_items": 80
}' |
apify call delectable_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/nuernberg-messe-exhibitor-scraper---preiswert-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Nuernberg Messe Exhibitor Scraper - Preiswert Low-cost 💲🚀🇩🇪",
        "description": "Looking to extract AFAG exhibitor data in Germany? 🚀\nThis scraper collects company names, locations, halls, booth numbers, descriptions and profile URLs in a clean, structured format. Ideal for B2B lead generation, trade fair intelligence, sales prospecting, CRM enrichment and market research 📊",
        "version": "0.0",
        "x-build-id": "su0D9B6iEDEE5FisB"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~nuernberg-messe-exhibitor-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-nuernberg-messe-exhibitor-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~nuernberg-messe-exhibitor-scraper---preiswert-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-nuernberg-messe-exhibitor-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~nuernberg-messe-exhibitor-scraper---preiswert-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-nuernberg-messe-exhibitor-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "urls",
                    "max_items"
                ],
                "properties": {
                    "urls": {
                        "title": "Target URLs 🔗 / Ziel-URLs 🔗",
                        "type": "array",
                        "description": "List of NuernbergMesse exhibitor search page URLs to scrape.\n\nSupported events:\n• https://www.altenpflege-messe.de/en/exhibitors-products/find-exhibitors\n• https://www.berufsbildung-messe.de/de-de/aussteller-produkte/aussteller-finden\n• https://www.consozial.de/de-de/ausstellende-produkte/ausstellende-finden\n• And all other *.nuernbergmesse.de event sites\n\nNote: CMP cookie consent (Alle Dienste zulassen) is handled automatically if present.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "max_items": {
                        "title": "Maximum number of exhibitors to scrape per URL 🏢 / Maximale Anzahl der zu erfassenden Aussteller pro URL 🏢",
                        "type": "integer",
                        "description": "Maximum exhibitor listings to collect per URL.",
                        "default": 80
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
