# Koelnmesse Exhibitor Scraper - Preiswert Low-cost 💲🔍🇩🇪 (`delectable_incubator/koelnmesse-exhibitor-scraper---preiswert-low-cost`) Actor

Scrape Koelnmesse exhibitor data at scale by entering an exhibitor URL

Extract company names, sectors, profile pages, logos and more in a structured format

Supports events like Anuga, Interzum, ISM, and all Koelnmesse fairs using the same search structure

Ideal for B2B leads and market research

- **URL**: https://apify.com/delectable\_incubator/koelnmesse-exhibitor-scraper---preiswert-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Lead generation, Developer tools
- **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>


---

### Koelnmesse Exhibitor Scraper | PrimeScrape 🔎🏢🗺️

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

This Apify Actor transforms Koelnmesse-powered event platforms into clean, structured, and analytics-ready datasets — built for scale, automation, and reliability.

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

---

### Koelnmesse Aussteller-Scraper | PrimeScrape 🔎🏢🇩🇪

Extrahieren Sie strukturierte Aussteller- und Unternehmensdaten aus Koelnmesse-Messeplattformen mit PrimeScrape.

Dieser Apify Actor verwandelt Messeverzeichnisse in saubere, strukturierte und analysebereite Datensätze — entwickelt für Skalierbarkeit, Automatisierung und Zuverlässigkeit.

Ideal für B2B-Leadgenerierung, Messe-Intelligence, Vertriebsprospektion und Marktforschung 📊✨

---

### 🌍 What This Scraper Does

PrimeScrape automatically extracts exhibitor listings from Koelnmesse-powered trade fair websites using their standardized directory structure.

It supports major international events such as:

Anuga, Anuga FoodTec, Aquanale, Eisenwarenmesse, ISM, Kind + Jugend, Spoga+Gafa, FSB Cologne, h+h Cologne and more.

---

### 🚀 Key Features

✔ Multi-event Koelnmesse support

✔ Clean, structured & export-ready data

✔ Fast & scalable execution

✔ Production-grade reliability

---

### 📊 Data Extracted

For each exhibitor:

🏢 Company / Exhibitor Name
🌍 Country
🏛️ Hall
📦 Booth / Stand Number
📍 Full Location
🖼️ Company Logo
🆔 Exhibitor ID
🔗 Profile URL

---

### 📥 Input Configuration

Example Input

````

{
"target\_url": "https://www.anuga.com/anuga-exhibitors/list-of-exhibitors/",
"max\_items": 100
}

```

Input Fields

| Field      | Type    | Description                            |
| ---------- | ------- | -------------------------------------- |
| target_url | string  | Koelnmesse exhibitor list URL          |
| max_items  | integer | Maximum number of exhibitors to scrape |

---

### ⚙️ How It Works

Provide a Koelnmesse exhibitor directory URL

The actor navigates through all exhibitor listings

Data is extracted automatically

Results are stored in a structured dataset ready for export

---

### 📤 Output Example

```

{
"exhibitorId": "KM-25412",
"exhibitorName": "FoodTech Solutions GmbH",
"country": "Germany",
"hall": "4",
"booth": "A12",
"location": "Hall 4, Booth A12",
"logoUrl": "https://example.com/logo.png",
"profileUrl": "https://www.anuga.com/anuga-exhibitors/FoodTech-Solutions-GmbH"
}

````
---

### 📁 Dataset Views

Overview: exhibitors, halls, booths, locations

Detailed profiles: logos, IDs, full location

CRM-ready export formats

Filtering by country, hall, or exhibitor

---

### 🌐 Use Cases

🏢 B2B Lead Generation – build international exhibitor databases

📊 Market Intelligence – analyze Koelnmesse trade fairs

🎯 Sales Prospecting – identify partners, suppliers & clients

🧠 Competitive Research – map industries & ecosystems

🔄 CRM Enrichment – structured company data at scale

---

### 🌍 Supported Koelnmesse Events

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

Anuga

Anuga FoodTec

Aquanale

Eisenwarenmesse

ISM

Kind + Jugend

Spoga+Gafa

FSB Cologne

h+h Cologne

⚠️ Any other Koelnmesse-based event using the same structure is also supported.

---

### 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)

---

### 💸 Pricing

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

You only pay for **successful runs**.

💳 **Price:** $3.99 / 1000 results

---

### ⚠️ Disclaimer

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

---

### 📬 Support

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

For feature requests or custom scraping solutions, contact via Apify or by email 

---

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

From extraction → processing → AI-ready datasets

⚡ Built for performance, precision & scale

# Actor input Schema

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

List of Koelnmesse exhibitor list page URLs to scrape.

Supported events:
• https://www.anuga.com/anuga-exhibitors/list-of-exhibitors/
• https://www.anugafoodtec.com/anuga-foodtec-exhibitors/list-of-exhibitors/
• https://www.asia-pacificsourcing.com/aps-exhibitors/list-of-exhibitors/
• And all other *.koelnmesse.de / event-specific domains

Note: OneTrust cookie consent (Accept All) is handled automatically if present.
## `max_items` (type: `integer`):

Maximum exhibitor listings to collect per URL. Pagination uses a Next button — the scraper clicks Next automatically after extracting each page. Stops when Next button is no longer available or max_items is reached.

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.anuga.com/anuga-exhibitors/list-of-exhibitors/"
    }
  ],
  "max_items": 60
}
````

# 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

## `with_logo` (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.anuga.com/anuga-exhibitors/list-of-exhibitors/"
        }
    ],
    "max_items": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/koelnmesse-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.anuga.com/anuga-exhibitors/list-of-exhibitors/" }],
    "max_items": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/koelnmesse-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.anuga.com/anuga-exhibitors/list-of-exhibitors/"
    }
  ],
  "max_items": 60
}' |
apify call delectable_incubator/koelnmesse-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/koelnmesse-exhibitor-scraper---preiswert-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Koelnmesse Exhibitor Scraper - Preiswert Low-cost 💲🔍🇩🇪",
        "description": "Scrape Koelnmesse exhibitor data at scale by entering an exhibitor URL\n\nExtract company names, sectors, profile pages, logos and more in a structured format\n\nSupports events like Anuga, Interzum, ISM, and all Koelnmesse fairs using the same search structure\n\nIdeal for B2B leads and market research",
        "version": "0.0",
        "x-build-id": "mJZtBlV0YAk5LeWX4"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~koelnmesse-exhibitor-scraper---preiswert-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-koelnmesse-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~koelnmesse-exhibitor-scraper---preiswert-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-koelnmesse-exhibitor-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~koelnmesse-exhibitor-scraper---preiswert-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-koelnmesse-exhibitor-scraper---preiswert-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 🔗",
                        "type": "array",
                        "description": "List of Koelnmesse exhibitor list page URLs to scrape.\n\nSupported events:\n• https://www.anuga.com/anuga-exhibitors/list-of-exhibitors/\n• https://www.anugafoodtec.com/anuga-foodtec-exhibitors/list-of-exhibitors/\n• https://www.asia-pacificsourcing.com/aps-exhibitors/list-of-exhibitors/\n• And all other *.koelnmesse.de / event-specific domains\n\nNote: OneTrust cookie consent (Accept All) 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 🏢",
                        "type": "integer",
                        "description": "Maximum exhibitor listings to collect per URL. Pagination uses a Next button — the scraper clicks Next automatically after extracting each page. Stops when Next button is no longer available or max_items is reached.",
                        "default": 60
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
