# USA Trade Fair Leads & Email Extractor (`lead.gen.labs/usa-trade-fair-leads-email-extractor`) Actor Build targeted USA trade fair, expo, and exhibition lead lists. Extract event details, organizer websites, locations, phone numbers, and available public emails for outreach, sponsorship sales, partnerships, and market research. - **URL**: https://apify.com/lead.gen.labs/usa-trade-fair-leads-email-extractor.md - **Developed by:** [LeadGen Labs](https://apify.com/lead.gen.labs) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $19.00 / 1,000 record scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## USA Trade Fair Leads & Email Extractor Build targeted trade fair, expo, and exhibition lead lists across the United States. Extract event details, organizer websites, locations, phone numbers, and available public emails for exhibitor outreach, sponsorship sales, event marketing, partnerships, and market research. For Custom Solutions and Integrations - reach out to me lead.gen.labs.1@gmail.com ### FAQ --- ### 1. What is USA Trade Fair Leads & Email Extractor? This Actor scans public USA trade-fair listings and saves one structured lead for each unique fair profile. It is useful for finding: - USA trade fair leads - exhibition organizer contacts - expo email lists - trade show websites - convention organizer leads - exhibitor outreach prospects - sponsorship sales prospects - B2B event marketing leads --- ### 2. Why use this tool? Use this Actor to create structured datasets for: - exhibitor sales outreach - trade-show sponsorship campaigns - venue and vendor partnerships - industry event research - B2B event software prospecting - CRM enrichment - regional market research --- ### 3. How do I use it? 1. Set the maximum number of USA listing pages to scan. 2. Set the maximum number of trade-fair profiles to save. 3. Keep public email extraction enabled when you want trade-show and organizer email enrichment. 4. Run the Actor. Example input: ```json { "max_pages": 1, "max_fairs": 20, "extract_emails": true, "request_delay_millis": 350 } ```` The default input is intentionally small so the first run finishes quickly. *** ### 4. What data points do I get? Each dataset item contains: ```json { "title": "Example Expo Las Vegas", "event_date": "29.05.2026 - 02.06.2026", "descriptions": ["Example public event description."], "phone_number": "12135550100", "event_website": "https://exampleexpo.com", "organizer_website": "https://exampleorganizer.com", "address": "Convention Center, 123 Main St, Las Vegas, Nevada, USA", "emails": ["info@exampleexpo.com"], "profile_url": "https://www.tradefairdates.com/Example-Expo-M123/Las-Vegas.html" } ``` *** ### 5. Does the Actor find email addresses? When email extraction is enabled, the Actor requests publicly exposed trade-show and organizer email addresses from the directory. Duplicate addresses are removed before the profile is saved. *** ### 6. How does pricing work? The Actor uses pay-per-event pricing: - `profile-scraped`: charged once for each saved trade-fair profile. - `email-found`: charged once for each distinct public email address extracted. - `apify-actor-start`: Apify's synthetic start event. Enable it in the Publication tab if it is not already present. Apify enables and charges this event automatically for new PPE Actors. *** ### 7. Can I integrate the results with other tools? Yes. Export or connect the Apify dataset to: - Google Sheets - Airtable - Zapier - Make - n8n - CRM systems - data warehouses For custom scraping solutions, integrations, or larger trade-fair lead datasets, contact lead.gen.labs.1@gmail.com. # Actor input Schema ## `max_pages` (type: `integer`): Maximum number of USA trade-fair listing pages to scan. ## `max_fairs` (type: `integer`): Maximum number of unique USA trade-fair profiles to save. ## `extract_emails` (type: `boolean`): Extract publicly exposed trade-show and organizer email addresses when available. ## `request_delay_millis` (type: `integer`): Delay in milliseconds between trade-fair profile requests. ## Actor input object example ```json { "max_pages": 1, "max_fairs": 20, "extract_emails": true, "request_delay_millis": 350 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lead.gen.labs/usa-trade-fair-leads-email-extractor").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 = {} # Run the Actor and wait for it to finish run = client.actor("lead.gen.labs/usa-trade-fair-leads-email-extractor").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 '{}' | apify call lead.gen.labs/usa-trade-fair-leads-email-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lead.gen.labs/usa-trade-fair-leads-email-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USA Trade Fair Leads & Email Extractor", "description": "Build targeted USA trade fair, expo, and exhibition lead lists. Extract event details, organizer websites, locations, phone numbers, and available public emails for outreach, sponsorship sales, partnerships, and market research.", "version": "0.0", "x-build-id": "KKbPabHgeSDUYg4Gd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lead.gen.labs~usa-trade-fair-leads-email-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lead.gen.labs-usa-trade-fair-leads-email-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lead.gen.labs~usa-trade-fair-leads-email-extractor/runs": { "post": { "operationId": "runs-sync-lead.gen.labs-usa-trade-fair-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lead.gen.labs~usa-trade-fair-leads-email-extractor/run-sync": { "post": { "operationId": "run-sync-lead.gen.labs-usa-trade-fair-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "max_pages", "max_fairs" ], "properties": { "max_pages": { "title": "Maximum Listing Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of USA trade-fair listing pages to scan.", "default": 1 }, "max_fairs": { "title": "Maximum Trade Fairs", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of unique USA trade-fair profiles to save.", "default": 20 }, "extract_emails": { "title": "Extract Public Emails", "type": "boolean", "description": "Extract publicly exposed trade-show and organizer email addresses when available.", "default": true }, "request_delay_millis": { "title": "Request Delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between trade-fair profile requests.", "default": 350 } } }, "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 } } } } } } } } } } ```