Trade Show Exhibitor Intelligence

What you get: one row per exhibitor with company name, booth hall and number, description, category tags, a confidence score, and the source page URL.

Sample output from a real run (2026-10-18, Console default input: the CEATEC 2026 exhibitor list):

companyName	booth	categories	status	description (shortened)
3D Incorporated	Booth 4H324	ai	enriched	From Human Motion to Physical AI. Discover technologies that capture human finger movements…
Agile-Tech Co., Ltd.	Booth 8H226	ai, automotive, saas	enriched	Agile Tech presents 4 solutions to boost productivity and DX…
ABeam Consulting Ltd.	Booth 5H416	–	partial	ABeam Consulting, as a global consulting firm originating in Japan, co-creates a new future…

That run used the Console defaults and wrote 22 rows (13 enriched, 9 partial) before it reached the USD 0.50 "Max cost per run" set for the test. For a smaller first run, use the JSON below (maxResults: 1).

Open Input (leave defaults → Start) Paid first run ≈ USD 0.012–0.03/row (1 URL + 1 result). Keep reports, exports, and movement options off for the first run. Open Console Input (deep link above) and run this JSON.

{
  "urls": [
    "https://www.ceatec.com/en/exhibition/exhibitor-list.php"
  ],
  "domains": [],
  "maxLinkedPages": 1,
  "maxResults": 1,
  "dryRun": false
}

Paste exhibitor URL and Start.

Extract lead-ready exhibitor fields from public event, sponsor, and trade show exhibitor pages. V1 is direct-source only: it uses URLs or domains you provide plus same-domain exhibitor links found on those pages. It does not use search engines, private portals, authentication, or paid event databases.

Store Quickstart

Run the single-input JSON above first; keep optional reports and exports disabled.

Use with Apify MCP

Exact actor: taroyamada/trade-show-exhibitor-intelligence

Sample input JSON:

{
  "urls": [
    "https://www.ceatec.com/en/exhibition/exhibitor-list.php"
  ],
  "domains": [],
  "maxLinkedPages": 2,
  "maxResults": 3
}

What It Returns

• Company name, event name, profile URL, and website
• Categories, country or region, social URLs, booth hall, booth number, and booth label
• Description, confidence, status, chargedEvent, sourceUrls, and errors on every dataset row

PPE Events

• exhibitor_profile_enriched: useful enriched exhibitor profile
• exhibitor_partial: useful partial exhibitor evidence
• invalid, blocked, not_found, not_exhibitor_page, and error: no-charge diagnostic rows

Inputs

Use urls for exact exhibitor directory/profile pages, or domains when you want the actor to inspect an event domain for same-domain exhibitor links. Keep maxLinkedPages low for cheap proof runs.

Positioning

Use this as an experimental lead-generation lane after the B2B procurement/supplier actors are live. It is intentionally lighter than browser-based event scraping, so maintenance stays bounded while we test paid demand.

Works well with

• Apple Podcasts Scraper — search shows, look up IDs, pull recent episodes and listener reviews
• Article Content Extractor — clean article text and metadata for RAG/LLM pipelines
• Apple Podcasts Chart Tracker — track top-chart ranks by country/genre with movement reports