# USA Conference Organizer Leads & Email Extractor (`lead.gen.labs/usa-conference-organizer-leads-email-extractor`) Actor Build targeted conference and event organizer lead lists. Extract event details, organizer websites, contact people, phone numbers, social profiles, and available public emails for sponsorship outreach, partnerships, event marketing, and sales prospecting. - **URL**: https://apify.com/lead.gen.labs/usa-conference-organizer-leads-email-extractor.md - **Developed by:** [LeadGen Labs](https://apify.com/lead.gen.labs) (community) - **Categories:** Lead generation, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 Conference Organizer Leads Extractor Build targeted conference and event organizer lead lists. Extract event names, dates, locations, organizer websites, contact people, descriptions, submission deadlines, phone numbers, social profiles, and available public emails for sponsorship outreach, 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 Conference Organizer Leads Extractor? This Actor scans public Conference Alerts event listings and saves structured conference profiles with optional organizer website enrichment. It is useful for finding: - conference organizer leads - event organizer email lists - business conference contacts - trade show organizer leads - academic conference contacts - event sponsorship prospects - professional networking events - conference marketing leads The default country is the United States of America, but you can enter another country listing when needed. --- ### 2. Why use this tool? Use this Actor to create structured datasets for: - sponsorship outreach - exhibitor sales campaigns - event software prospecting - speaker and partnership research - conference marketing - CRM enrichment - regional event research --- ### 3. How do I use it? 1. Enter a country listing. 2. Set the maximum number of listing pages. 3. Set the maximum number of events to save. 4. Keep organizer contact extraction enabled when you want website enrichment. 5. Run the Actor. Example input: ```json { "country": "United States of America", "max_pages": 1, "max_events": 20, "scrape_organizer_contacts": 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 { "event_title": "Example Conference 2026", "event_date": "10th to 12th November 2026", "location": "Austin, Texas, USA", "event_format": "online and in-person", "event_website": "https://exampleconference.com/", "contact_person": "Conference Secretariat", "event_description": "Example public conference description.", "event_organizer": "Example Organizer", "submission_deadline": "1st August 2026", "organizer_events_url": "https://conferencealerts.com/show-events?id=12345", "emails": ["info@exampleconference.com"], "phone_numbers": ["5125550100"], "social_media": { "linkedin": "https://www.linkedin.com/company/example/" }, "profile_url": "https://conferencealerts.com/show-event?id=12345" } ``` *** ### 5. Does the Actor find organizer email addresses? When organizer contact extraction is enabled, the Actor visits the public event website and saves publicly exposed email addresses, phone numbers, and social profiles. Some websites do not publish contact information, so those fields may be empty. *** ### 6. How does pricing work? The Actor uses pay-per-event pricing: - `profile-scraped`: charged once for each saved conference profile. - `email-found`: charged once for each public email address extracted from an organizer website. - `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 conference organizer lead datasets, contact lead.gen.labs.1@gmail.com. # Actor input Schema ## `country` (type: `string`): Country listing to scan for conference and event organizer leads. ## `max_pages` (type: `integer`): Maximum number of conference listing pages to scan. ## `max_events` (type: `integer`): Maximum number of unique conference event profiles to save. ## `scrape_organizer_contacts` (type: `boolean`): Visit event websites and extract publicly exposed email addresses, phone numbers, and social profiles. ## `request_delay_millis` (type: `integer`): Delay in milliseconds between event profile requests. ## Actor input object example ```json { "country": "United States of America", "max_pages": 1, "max_events": 20, "scrape_organizer_contacts": 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-conference-organizer-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-conference-organizer-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-conference-organizer-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-conference-organizer-leads-email-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USA Conference Organizer Leads & Email Extractor", "description": "Build targeted conference and event organizer lead lists. Extract event details, organizer websites, contact people, phone numbers, social profiles, and available public emails for sponsorship outreach, partnerships, event marketing, and sales prospecting.", "version": "0.0", "x-build-id": "ok4Wt0AB2mIfB6EYJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lead.gen.labs~usa-conference-organizer-leads-email-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lead.gen.labs-usa-conference-organizer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lead.gen.labs~usa-conference-organizer-leads-email-extractor/runs": { "post": { "operationId": "runs-sync-lead.gen.labs-usa-conference-organizer-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lead.gen.labs~usa-conference-organizer-leads-email-extractor/run-sync": { "post": { "operationId": "run-sync-lead.gen.labs-usa-conference-organizer-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "country", "max_pages", "max_events" ], "properties": { "country": { "title": "Country", "type": "string", "description": "Country listing to scan for conference and event organizer leads.", "default": "United States of America" }, "max_pages": { "title": "Maximum Listing Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of conference listing pages to scan.", "default": 1 }, "max_events": { "title": "Maximum Events", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of unique conference event profiles to save.", "default": 20 }, "scrape_organizer_contacts": { "title": "Extract Organizer Contacts", "type": "boolean", "description": "Visit event websites and extract publicly exposed email addresses, phone numbers, and social profiles.", "default": true }, "request_delay_millis": { "title": "Request Delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between event 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 } } } } } } } } } } ```