# ExpoFP Exhibitor List Scraper - Trade Show Floor Plan Data (`jamkon/expofp-exhibitor-scraper`) Actor Extract complete exhibitor lists from any ExpoFP trade show floor plan: company names, booth numbers, categories, countries and websites. Pay per result. - **URL**: https://apify.com/jamkon/expofp-exhibitor-scraper.md - **Developed by:** [james correy](https://apify.com/jamkon) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ExpoFP Exhibitor List Scraper - Trade Show Floor Plan Data Extract the **complete exhibitor list** from any trade show or expo that hosts its interactive floor plan on **ExpoFP** — company names, booth numbers, product categories, countries, websites, and company social links — in one run, as clean structured data. Works with any `yourshow.expofp.com` floor plan URL, a bare event slug, or an organiser website that embeds an ExpoFP floor plan (the actor finds the embedded plan automatically). ### Why use it - **B2B lead lists**: every exhibitor at a show is a company actively spending money to sell. Pull the list before the show to plan outreach, or after to build your pipeline. - **Event sales and sponsorship teams**: see who exhibits at competing or adjacent shows. - **Market research**: track which companies exhibit where, by category and country. - **AI agents**: use this actor as an MCP tool to fetch exhibitor data on demand. ### What you get One record per exhibitor: ```json { "companyName": "Actual Pet Foods", "boothNumbers": ["221"], "description": "Raw pet food manufacturing with 50 years of combined experience...", "productCategories": ["Dog Food"], "country": "Canada", "state": "Ontario", "city": null, "websiteUrl": "https://actualpetfoods.com/", "linkedinUrl": "https://www.linkedin.com/company/actual-pet-foods/", "facebookUrl": null, "instagramUrl": null, "logoUrl": "https://connect2026.expofp.com/exhibitors/11964190/media/actual-pet-foods.webp", "exhibitorSlug": "actual-pet-foods", "eventSlug": "connect2026", "eventName": "Connect 2026" } ```` ### Quick start 1. Paste your show's floor plan URL (e.g. `https://yourshow.expofp.com`) into **Event URLs**. 2. Run. That's it — the default settings work for every event. Scrape several events in one run by adding more URLs. Turn on **Dedupe across events** to get each company once, with booth numbers and events merged. ### Pricing Pay per result: a small actor-start fee plus a per-exhibitor-record fee. A typical 200-2,000 exhibitor show costs well under the price of a coffee. No subscription, no monthly minimum — you pay only for the records you actually receive. ### What this actor never collects By design, this actor extracts **company-level business information only**: - No email addresses of any kind (public or masked) - No phone numbers - No personal names, attendee data, speaker data, or networking profiles - Social links are company pages only This keeps your lead lists clean of personal data and your compliance story simple. ### Supported platforms ExpoFP-hosted floor plans only (`*.expofp.com`, including plans embedded on organiser websites). If you need a different event platform, open an issue and tell me which one — fast support is the point of this actor. ### Troubleshooting - **"No ExpoFP floor plan found"**: the event may not use ExpoFP. Check whether the floor plan page URL contains `expofp.com`. - **"Could not locate exhibitor data"**: the organiser may have unpublished the plan or hidden the exhibitor list before the show opens. Try again closer to the event date. - **Empty booth numbers**: some organisers publish exhibitors before assigning booths. Found a problem? Open an issue on this actor's Issues tab — issues are answered fast, usually same day. # Actor input Schema ## `eventUrls` (type: `array`): One or more ExpoFP events. Accepts a full floor plan URL (https://yourshow.expofp.com), a bare slug (yourshow), or an organiser page that embeds an ExpoFP floor plan (the actor finds the embedded plan automatically). ## `includeCategories` (type: `boolean`): Resolve each exhibitor's category IDs to human-readable category names. ## `dedupeAcrossEvents` (type: `boolean`): When scraping multiple events, emit each company only once (matched on normalised company name + website). Booth numbers and events are merged onto the single record. ## Actor input object example ```json { "eventUrls": [ "https://connect2026.expofp.com" ], "includeCategories": true, "dedupeAcrossEvents": 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 = { "eventUrls": [ "https://connect2026.expofp.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jamkon/expofp-exhibitor-scraper").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "eventUrls": ["https://connect2026.expofp.com"] } # Run the Actor and wait for it to finish run = client.actor("jamkon/expofp-exhibitor-scraper").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 '{ "eventUrls": [ "https://connect2026.expofp.com" ] }' | apify call jamkon/expofp-exhibitor-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamkon/expofp-exhibitor-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ExpoFP Exhibitor List Scraper - Trade Show Floor Plan Data", "description": "Extract complete exhibitor lists from any ExpoFP trade show floor plan: company names, booth numbers, categories, countries and websites. Pay per result.", "version": "1.0", "x-build-id": "qfo4vULjmCU7Ys4kY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamkon~expofp-exhibitor-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamkon-expofp-exhibitor-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamkon~expofp-exhibitor-scraper/runs": { "post": { "operationId": "runs-sync-jamkon-expofp-exhibitor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamkon~expofp-exhibitor-scraper/run-sync": { "post": { "operationId": "run-sync-jamkon-expofp-exhibitor-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "eventUrls" ], "properties": { "eventUrls": { "title": "Event URLs or slugs", "minItems": 1, "type": "array", "description": "One or more ExpoFP events. Accepts a full floor plan URL (https://yourshow.expofp.com), a bare slug (yourshow), or an organiser page that embeds an ExpoFP floor plan (the actor finds the embedded plan automatically).", "items": { "type": "string" } }, "includeCategories": { "title": "Include product categories", "type": "boolean", "description": "Resolve each exhibitor's category IDs to human-readable category names.", "default": true }, "dedupeAcrossEvents": { "title": "Dedupe across events", "type": "boolean", "description": "When scraping multiple events, emit each company only once (matched on normalised company name + website). Booth numbers and events are merged onto the single record.", "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 } } } } } } } } } } ```