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    Tradeshow exhibitors scout

    1

    Extract and classify hardware manufacturers from complex tradeshow exhibitor lists and directories into structured data.

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    Tradeshow exhibitors scout

    Tradeshow exhibitors scout

    Example session with this skill installed

    Scout this exhibitor list for hardware manufacturers: https://www.messe-duesseldorf.de/vis/v1/en/exhibitors/k2024. Extract all 3000+ companies and filter for machine builders.

    • Read your context and instructions
    • Compiled the tradeshow exhibitors scout

    I have initiated the extraction ladder for the Messe Düsseldorf VIS platform. I successfully located the internal API at /vis-api/vis/v3/ and bypassed the lazy-loading UI to retrieve the full catalog. After processing 3,241 entries, I identified 847 strict hardware manufacturers (machine builders, robotics, and sensor manufacturers) while excluding 2,394 distributors, raw material suppliers, and service providers.

    Hardware Scouting Results: K 2024

    #Company NameCountryBoothWebsiteLinkedInProduct Category
    1Arburg GmbH + Co KGGermany13 / A13https://www.arburg.comlinkedin.com/company/arburgInjection Moulding Machines
    2Engel Austria GmbHAustria15 / C58https://www.engelglobal.comlinkedin.com/company/engelRobotic Systems & Presses
    3Wittmann GroupAustria15 / C06https://www.wittmann-group.comlinkedin.com/company/wittmann-groupAuxiliary Equipment
    4Piovan S.p.A.Italy10 / H22https://www.piovan.comlinkedin.com/company/piovanIndustrial Cooling Systems
    5Fanuc EuropeLuxembourg14 / A60https://www.fanuc.eulinkedin.com/company/fanuc-europeIndustrial Robots

    Extraction Summary:

    • Total Exhibitors Stated: 3,241
    • Total Extracted: 3,241 (100% match)
    • Filtered Hardware Manufacturers: 847
    • Reasoning: Excluded 1,400+ resin/polymer suppliers (consumables) and 900+ logistics/consultancy firms.

    Next steps

    1. Download the full Hardware_Scout_K2024.xlsx from the persistence storage link provided.
    2. Review the 'Reasoning' column in the Excel for 12 borderline cases where manufacturing origin was ambiguous.
    3. Trigger the "LinkedIn Deep Verify" task if you need to confirm the employee count for these specific 847 leads.
    Hardware_Scout_K2024.xlsx

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Exhibitor lists are often trapped behind infinite-scroll UIs, embedded JSON blobs, or complex PDF directories. Manually identifying true hardware manufacturers from thousands of distributors and service firms is slow and error-prone.

    What it does

    • Extracts complete exhibitor lists from complex architectures including SPA/JSON APIs, SSR payloads like __NEXT_DATA__, and embedded catalog platforms.
    • Filters results using strict hardware classification rules to isolate companies that design and manufacture physical engineered products.
    • Enriches company data with verified official websites, LinkedIn profiles validated via website matching, and booth numbers.
    • Handles long-running scans for 1000+ companies with incremental persistence to survive network drops or timeouts.

    Frameworks & tools

    Integrates with headless scrapers like Firecrawl, handles PDF parsing via pdfjs-dist, and utilizes vision models for high-resolution vertical tiling of visual directories.

    Why this beats prompting it yourself

    A simple prompt will hallucinate missing entries or stop after the first page of a lazy-loaded list. This skill uses a multi-stage extraction ladder to find the underlying API or data structure, ensuring the final count matches the event's stated total.

    Use cases

    • Scanning massive industrial tradeshows for potential OEM partners or acquisition targets.
    • Converting PDF event directories into structured Excel lead lists for sales teams.
    • Identifying international hardware manufacturers entering a specific market via regional expos.

    Known limitations

    Limited to 80 pages per API scan. LinkedIn enrichment requires manual verification due to high platform noise. Requires a source with visible or fetchable text/JSON data.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills to Reverse Engineer and Scrape Websites.

    Limits API scans to 80 pages. LinkedIn data requires strict verification due to potential mismatches. Long runs require incremental persistence to bypass edge function timeouts.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

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    2. 2

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    3. 3

      Ask for what you need

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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill uses a multi-stage extraction ladder to bypass lazy-loading, infinite scroll, and JSON blobs, ensuring you get every single exhibitor rather than just the first few results a standard scraper might find.

    The skill applies strict classification rules to distinguish between actual hardware manufacturers and third-party distributors or service providers, delivering a refined list of physical product creators.

    Each purchase includes the core extraction logic, pre-configured scrapers for major directory types, and integration templates for export to Excel or your CRM.

    The skill is optimized for large-scale events and can process directories with over 1,000 exhibitors, utilizing incremental persistence to protect your data if a network interruption occurs.

    Yes, it is compatible with major AI agent frameworks and headless scraping tools like Firecrawl, and can be integrated into your existing research workflows via a standardized API.

    Updates are provided periodically to account for changes in common event platform architectures (like changes to __NEXT_DATA__ structures), ensuring the skill remains effective for current show seasons.

    New in Research & Analysis