# USA Eventbrite Organizer Leads & Email Extractor (`lead.gen.labs/usa-eventbrite-organizer-leads-email-extractor`) Actor Build targeted event organizer lead lists from Eventbrite. Extract organizer websites, audience metrics, social profiles, source events, and available public emails for sponsorship outreach, partnerships, event marketing, and sales prospecting. - **URL**: https://apify.com/lead.gen.labs/usa-eventbrite-organizer-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, 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 Eventbrite Organizer Leads Extractor Build targeted event organizer lead lists from public Eventbrite pages. Extract organizer names, websites, social profiles, audience metrics, source events, and available public emails for sponsorship outreach, event marketing, partnerships, and sales prospecting. For Custom Solutions and Integrations - reach out to me lead.gen.labs.1@gmail.com ### FAQ --- ### 1. What is USA Eventbrite Organizer Leads Extractor? This Actor scans selected US Eventbrite locations and saves one structured lead for each unique organizer profile. It is useful for finding: - Eventbrite organizer leads - event organizer email lists - local event promoters - festival and nightlife organizers - conference organizer contacts - event sponsorship prospects - community event marketers - event management leads --- ### 2. Why use this tool? Use this Actor to create structured datasets for: - event sponsorship outreach - venue and vendor partnerships - event software prospecting - local business marketing - promoter discovery - CRM enrichment - regional event research --- ### 3. How do I use it? 1. Select one or more US Eventbrite locations. 2. Set the maximum number of listing pages per location. 3. Set the maximum number of organizers to save. 4. Keep public email extraction enabled when you want organizer website enrichment. 5. Run the Actor. Example input: ```json { "locations": ["ga--atlanta", "ny--new-york"], "max_pages_per_location": 1, "max_organizers": 20, "scrape_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 { "organizer_name": "Example Events", "organizer_url": "https://www.eventbrite.com/o/example-events-12345", "organizer_website": "https://exampleevents.com/", "organizer_bio": "Example public organizer biography.", "followers": "21k", "events_total": "10", "hosting_years": "5 years", "attendees_hosted": "10k", "social_media": { "instagram": "https://www.instagram.com/exampleevents/" }, "emails": ["info@exampleevents.com"], "source_event_title": "Example Event", "source_event_url": "https://www.eventbrite.com/e/example-event-tickets-12345", "source_event_start_date": "2026-06-06T22:00:00-04:00", "source_event_end_date": "2026-06-07T03:00:00-04:00", "source_event_location": "123 Main St, Atlanta, GA 30303" } ``` *** ### 5. Does the Actor find organizer email addresses? When email extraction is enabled, the Actor visits the public organizer website listed on Eventbrite and saves publicly exposed email addresses. Some websites do not publish an email address, so the `emails` array may be empty. *** ### 6. How does pricing work? The Actor uses pay-per-event pricing: - `profile-scraped`: charged once for each saved organizer 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 Eventbrite organizer lead datasets, contact lead.gen.labs.1@gmail.com. # Actor input Schema ## `locations` (type: `array`): Select one or more US Eventbrite locations to scan for event organizer leads. ## `max_pages_per_location` (type: `integer`): Maximum number of Eventbrite listing pages to scan for each selected location. ## `max_organizers` (type: `integer`): Maximum number of unique Eventbrite organizer profiles to save. ## `scrape_emails` (type: `boolean`): Visit organizer websites and extract publicly exposed email addresses when available. ## `request_delay_millis` (type: `integer`): Delay in milliseconds between organizer profile requests. ## Actor input object example ```json { "locations": [ "ga--atlanta" ], "max_pages_per_location": 1, "max_organizers": 20, "scrape_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-eventbrite-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-eventbrite-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-eventbrite-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-eventbrite-organizer-leads-email-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USA Eventbrite Organizer Leads & Email Extractor", "description": "Build targeted event organizer lead lists from Eventbrite. Extract organizer websites, audience metrics, social profiles, source events, and available public emails for sponsorship outreach, partnerships, event marketing, and sales prospecting.", "version": "0.0", "x-build-id": "8GLExjhhUWmtgi7Du" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lead.gen.labs~usa-eventbrite-organizer-leads-email-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lead.gen.labs-usa-eventbrite-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lead.gen.labs~usa-eventbrite-organizer-leads-email-extractor/runs": { "post": { "operationId": "runs-sync-lead.gen.labs-usa-eventbrite-organizer-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lead.gen.labs~usa-eventbrite-organizer-leads-email-extractor/run-sync": { "post": { "operationId": "run-sync-lead.gen.labs-usa-eventbrite-organizer-leads-email-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "locations", "max_pages_per_location", "max_organizers" ], "properties": { "locations": { "title": "USA Event Locations", "type": "array", "description": "Select one or more US Eventbrite locations to scan for event organizer leads.", "items": { "type": "string", "enum": [ "ga--atlanta", "ny--new-york", "ca--los-angeles", "il--chicago", "tx--dallas", "tx--houston", "fl--miami", "dc--washington", "ma--boston", "ca--san-francisco", "wa--seattle", "tx--austin" ], "enumTitles": [ "Atlanta, GA", "New York, NY", "Los Angeles, CA", "Chicago, IL", "Dallas, TX", "Houston, TX", "Miami, FL", "Washington, DC", "Boston, MA", "San Francisco, CA", "Seattle, WA", "Austin, TX" ] }, "default": [ "ga--atlanta" ] }, "max_pages_per_location": { "title": "Maximum Pages per Location", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of Eventbrite listing pages to scan for each selected location.", "default": 1 }, "max_organizers": { "title": "Maximum Organizers", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of unique Eventbrite organizer profiles to save.", "default": 20 }, "scrape_emails": { "title": "Extract Public Emails", "type": "boolean", "description": "Visit organizer websites and extract publicly exposed email addresses when available.", "default": true }, "request_delay_millis": { "title": "Request Delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay in milliseconds between organizer 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 } } } } } } } } } } ```