# Deutsche Messe Exhibitor Scraper - Preiswert Low-cost πŸ’²πŸš€πŸ‡©πŸ‡ͺ (`delectable_incubator/deutsche-messe-exhibitor-scraper---preiswert-low-cost`) Actor Looking to extract AFAG Messen und Ausstellungen exhibitor data in Germany? πŸš€ This scraper collects company names, locations, halls, booth numbers, descriptions, logos & profile URLs in structured format Ideal for B2B lead generation, trade fair intelligence, sales prospecting & market research πŸ“Š - **URL**: https://apify.com/delectable\_incubator/deutsche-messe-exhibitor-scraper---preiswert-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Automation, 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

Messe DΓΌsseldorf Exhibitor Scraper - B2B Trade Fair Data

### πŸ”Ž Deutsche Messe Exhibitor Scraper (A–Z Index) – B2B Leads & Trade Fair Data πŸš€ Extract exhibitor data from Deutsche Messe directories with a fast and reliable scraper built for trade fair intelligence. This powerful automation tool navigates A–Z exhibitor listings and collects structured company data including booth details, hall locations, and profile URLs. Perfect for B2B lead generation, market research, competitor analysis, and event intelligence πŸ“Š --- ### πŸ”Ž Deutsche Messe Aussteller-Scraper (A–Z Index) – B2B-Leads & Messedaten πŸš€ Extrahieren Sie Ausstellerdaten aus Deutsche-Messe-Verzeichnissen mit einem schnellen und zuverlΓ€ssigen Scraper, der speziell fΓΌr Messe-Intelligence entwickelt wurde. Dieses leistungsstarke Automatisierungstool navigiert durch A–Z-Ausstellerlisten und sammelt strukturierte Unternehmensdaten, einschließlich Standdetails, Hallenstandorten und Profil-URLs. Ideal fΓΌr B2B-Leadgenerierung, Marktforschung, Wettbewerbsanalyse und Event-Intelligence πŸ“Š --- ### 🎯 Key Features βœ”οΈ Extract exhibitor names, halls, booths & locations βœ”οΈ Collect profile pages & company data βœ”οΈ Works across multiple Deutsche Messe events βœ”οΈ Clean structured output (JSON, CSV, Excel…) --- ### 🌐 Supported Events (Examples) Compatible with major events organized by Deutsche Messe: - HANNOVER MESSE - INTERSCHUTZ - DOMOTEX - ABF Hannover - Real Estate Arena - SurfaceTechnology Germany --- ### πŸ“Š Data Extracted Exhibitor ID Company name Country Hall & booth Full location Logo URL Profile URL --- ### βš™οΈ How It Works Add exhibitor index URLs Run the scraper Export structured datasets --- ### πŸ’Ό Use Cases πŸ“ˆ Market research & trade fair analysis 🏒 B2B lead generation πŸ” Competitor tracking 🌍 International exhibitor insights --- ### ⚑ Why Choose This Scraper? 🎯 Built specifically for Deutsche Messe structure ⚑ Smart A–Z pagination handling πŸ“„ Clean, structured datasets πŸ” Reliable extraction of exhibitor directories 🏒 Ideal for trade fair & B2B analytics Built specifically for Deutsche Messe exhibitor directories, ensuring high accuracy, speed, and structured output for professional use. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $3.99 / month --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ```` { "urls": \[ { "url": "https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2", "maxItems": 100 } ] } ``` #### Input Fields | Field | Type | Description | | ------------ | ------ | ----------------------------------------------------------------- | | **urls** | array | List of exhibitor sources (each object contains URL + limits) | | **url** | string | Exhibitor index URL (A–Z listing page, without pagination params) | | **maxItems** | number | Max number of exhibitors to extract per URL (default: 100) | --- ### πŸ“€ Output Example ``` { "exhibitorId": "N1536754", "exhibitorName": "Abenteuer Tansania", "country": "DE - Hannover", "hall": "Hall 19", "booth": "D63", "location": "Hall 19, Stand D63", "logoUrl": "https://www.abf-hannover.de/apollo/abf\_hannover\_2026/obs/Grafik/A1483581/LOG\_DE0\_1483581\_5273215.jpg.png", "profileUrl": "https://www.abf-hannover.de/exhibitor/abenteuer-tansania/N1536754" } ```` --- ### Related Actors If you're interested in other exhibitor (trade fair / messe) data scraping solutions, explore more exhibitor & trade fair scrapers across Europe πŸ‡©πŸ‡ͺπŸ‡ͺπŸ‡Ί (Coming soon) --- ### ⚠️ Disclaimer Not affiliated with or endorsed by Deutsche Messe. --- ### πŸ“¬ 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 Deutsche Messe exhibitor index URLs to scrape. Supported events: β€’ HANNOVER MESSE 2026 β†’ https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2 β€’ INTERSCHUTZ 2026 β†’ https://www.interschutz.de/en/expo/exhibitor-index/ β€’ ABF 2026 β†’ https://www.abf-hannover.de/en/expo/exhibitor-index/ β€’ DOMOTEX 2026 β†’ https://www.domotex.de/en/expo/exhibitor-index/ β€’ Pro Care 2026 β†’ https://www.pro-care-hannover.de/en/expo/exhibitor-index/ β€’ Real Estate Arena 2026 β†’ https://www.real-estate-arena.com/en/expo/exhibitor-index/ β€’ SurfaceTechnology 2026 β†’ https://www.surface-technology-germany.de/en/expo/exhibitor-index/ β€’ infa 2025 β†’ https://www.meine-infa.de/en/expo/exhibitor-index/ β€’ parts2clean 2025 β†’ https://www.parts2clean.de/en/expo/exhibitor-index/ β€’ PASSION PFERD 2025 β†’ https://www.passionpferd.com/en/expo/exhibitor-index/ ## `max_items` (type: `integer`): Maximum exhibitor listings to collect per URL. ## Actor input object example ```json { "urls": [ { "url": "https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2" } ], "max_items": 40 } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ { "url": "https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2" } ], "max_items": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/deutsche-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(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [{ "url": "https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2" }], "max_items": 40, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/deutsche-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("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ { "url": "https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2" } ], "max_items": 40 }' | apify call delectable_incubator/deutsche-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/deutsche-messe-exhibitor-scraper---preiswert-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Deutsche Messe Exhibitor Scraper - Preiswert Low-cost πŸ’²πŸš€πŸ‡©πŸ‡ͺ", "description": "Looking to extract AFAG Messen und Ausstellungen exhibitor data in Germany? πŸš€\nThis scraper collects company names, locations, halls, booth numbers, descriptions, logos & profile URLs in structured format\nIdeal for B2B lead generation, trade fair intelligence, sales prospecting & market research πŸ“Š", "version": "0.0", "x-build-id": "qi8pIpQlJcuIkq1ay" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~deutsche-messe-exhibitor-scraper---preiswert-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-deutsche-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~deutsche-messe-exhibitor-scraper---preiswert-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-deutsche-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~deutsche-messe-exhibitor-scraper---preiswert-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-deutsche-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 πŸ”— / Ziel-URLs πŸ”—", "type": "array", "description": "List of Deutsche Messe exhibitor index URLs to scrape.\n\nSupported events:\nβ€’ HANNOVER MESSE 2026 β†’ https://www.hannovermesse.de/en/expo/exhibitor-short-index/index-2\nβ€’ INTERSCHUTZ 2026 β†’ https://www.interschutz.de/en/expo/exhibitor-index/\nβ€’ ABF 2026 β†’ https://www.abf-hannover.de/en/expo/exhibitor-index/\nβ€’ DOMOTEX 2026 β†’ https://www.domotex.de/en/expo/exhibitor-index/\nβ€’ Pro Care 2026 β†’ https://www.pro-care-hannover.de/en/expo/exhibitor-index/\nβ€’ Real Estate Arena 2026 β†’ https://www.real-estate-arena.com/en/expo/exhibitor-index/\nβ€’ SurfaceTechnology 2026 β†’ https://www.surface-technology-germany.de/en/expo/exhibitor-index/\nβ€’ infa 2025 β†’ https://www.meine-infa.de/en/expo/exhibitor-index/\nβ€’ parts2clean 2025 β†’ https://www.parts2clean.de/en/expo/exhibitor-index/\nβ€’ PASSION PFERD 2025 β†’ https://www.passionpferd.com/en/expo/exhibitor-index/", "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": 40 } } }, "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 } } } } } } } } } } ```