# Trade Show Exhibitor Intelligence (`taroyamada/trade-show-exhibitor-intelligence`) Actor Extract company names, categories, countries/regions, URLs, social links, and booth information from public event and exhibitor pages using direct-source URLs only, with PPE charged events and no-charge diagnostics. - **URL**: https://apify.com/taroyamada/trade-show-exhibitor-intelligence.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Trade Show Exhibitor Intelligence 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. ### 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. # Actor input Schema ## `urls` (type: `array`): Public event exhibitor directory, exhibitor profile, sponsor, or booth listing URLs to fetch directly. No search engine discovery is used. ## `domains` (type: `array`): Optional bare event domains. Domains are normalized to https://domain/ and inspected for same-domain exhibitor or directory links only. ## `eventName` (type: `string`): Optional event or trade show name used as a parsing hint and fallback eventName field. ## `countryRegionHint` (type: `string`): Optional country, state, or region used only as a local classification hint when that text appears on the page. ## `maxLinkedPages` (type: `integer`): When a supplied page links to same-domain exhibitor, sponsor, booth, directory, or company profile pages, fetch up to this many extra direct-source pages as evidence. ## `maxResults` (type: `integer`): Maximum normalized direct sources and extracted exhibitor rows to emit. ## `dryRun` (type: `boolean`): Validate input and write local output without sending dataset rows or charging custom PPE events. ## Actor input object example ```json { "urls": [ "https://www.ces.tech/exhibitors/", "https://www.bio.org/events/bio-international-convention/exhibitor-directory" ], "domains": [ "ces.tech", "bio.org" ], "eventName": "", "countryRegionHint": "", "maxLinkedPages": 2, "maxResults": 25, "dryRun": false } ```` # 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": [ "https://www.ces.tech/exhibitors/", "https://www.bio.org/events/bio-international-convention/exhibitor-directory" ], "domains": [ "ces.tech", "bio.org" ] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/trade-show-exhibitor-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://www.ces.tech/exhibitors/", "https://www.bio.org/events/bio-international-convention/exhibitor-directory", ], "domains": [ "ces.tech", "bio.org", ], } # Run the Actor and wait for it to finish run = client.actor("taroyamada/trade-show-exhibitor-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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": [ "https://www.ces.tech/exhibitors/", "https://www.bio.org/events/bio-international-convention/exhibitor-directory" ], "domains": [ "ces.tech", "bio.org" ] }' | apify call taroyamada/trade-show-exhibitor-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/trade-show-exhibitor-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trade Show Exhibitor Intelligence", "description": "Extract company names, categories, countries/regions, URLs, social links, and booth information from public event and exhibitor pages using direct-source URLs only, with PPE charged events and no-charge diagnostics.", "version": "0.1", "x-build-id": "EH83zVxWVraEq63fJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~trade-show-exhibitor-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-trade-show-exhibitor-intelligence", "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/taroyamada~trade-show-exhibitor-intelligence/runs": { "post": { "operationId": "runs-sync-taroyamada-trade-show-exhibitor-intelligence", "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/taroyamada~trade-show-exhibitor-intelligence/run-sync": { "post": { "operationId": "run-sync-taroyamada-trade-show-exhibitor-intelligence", "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", "properties": { "urls": { "title": "Event or Exhibitor URLs", "maxItems": 100, "type": "array", "description": "Public event exhibitor directory, exhibitor profile, sponsor, or booth listing URLs to fetch directly. No search engine discovery is used.", "items": { "type": "string" }, "default": [] }, "domains": { "title": "Event Domains", "maxItems": 100, "type": "array", "description": "Optional bare event domains. Domains are normalized to https://domain/ and inspected for same-domain exhibitor or directory links only.", "items": { "type": "string" }, "default": [] }, "eventName": { "title": "Event Name Hint", "type": "string", "description": "Optional event or trade show name used as a parsing hint and fallback eventName field.", "default": "" }, "countryRegionHint": { "title": "Country or Region Hint", "type": "string", "description": "Optional country, state, or region used only as a local classification hint when that text appears on the page.", "default": "" }, "maxLinkedPages": { "title": "Max Linked Exhibitor Pages", "minimum": 0, "maximum": 8, "type": "integer", "description": "When a supplied page links to same-domain exhibitor, sponsor, booth, directory, or company profile pages, fetch up to this many extra direct-source pages as evidence.", "default": 2 }, "maxResults": { "title": "Max Dataset Rows", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum normalized direct sources and extracted exhibitor rows to emit.", "default": 25 }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Validate input and write local output without sending dataset rows or charging custom PPE events.", "default": false } } }, "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 } } } } } } } } } } ```