# Events Lead & Conferences Email Scraper - Low-costπŸ’²πŸ”₯πŸŽ€πŸ” (`delectable_incubator/events-lead-conferences-email-scraper-low-cost`) Actor Scrape event and conference contacts πŸ”πŸŽ€ with a powerful email scraper. Extract verified organizer and speaker emails, event titles, descriptions, contact details, and source links using keywords, domains, or platforms. Ideal for lead generation, outreach campaigns and market research πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/events-lead-conferences-email-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Automation, Lead generation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

Events & Conferences Email Scraper

--- ## Events & Conferences Email Scraper πŸŽ«πŸ“§πŸ” The Events & Conferences Email Scraper is a powerful and scalable Apify Actor designed to extract event-related contact emails and structured profile information from major event platforms, conference directories, trade show listings, ticketing portals, and organizer websites. It enables event promotion, sponsor outreach, attendee acquisition, speaker recruitment, conference research, exhibitor prospecting, event intelligence, and structured contact database creation at scale. --- ### 🎯 What This Scraper Does Simply provide a keyword, choose one or more event platforms, optionally filter email domains, and the scraper handles everything automatically. βœ… Searches event and conference platforms by keyword βœ… Extracts event and organizer information βœ… Collects available contact email addresses βœ… Supports email domain filtering βœ… Supports multiple event platforms βœ… Extracts event descriptions and summaries βœ… Captures event and organizer URLs βœ… Applies max_items limits βœ… Generates clean and structured datasets βœ… Ready for outreach, analytics, and CRM workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### 🎫 Event & Contact Information | Field | Description | | ---------------- | ----------------------------------------------- | | 🎫 title | Event name, conference title, or organizer name | | πŸ”— url | Event page or organizer profile URL | | πŸ“ snippet | Event summary, description, or agenda | | πŸ“§ email | Extracted email address | | 🌐 email_domain | Email domain portion | | πŸ›οΈ platform | Source platform | | πŸ” displayed_url | Display version of the event URL | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide a keyword and configure your extraction settings. ```` { "keyword": "AI summit", "domain\_emails": \[ "@gmail.com", "@cvent.com" ], "max\_items": 30, "platform": "Eventbrite" } ``` #### 2️⃣ Run the Actor β€’ Searches selected event platforms β€’ Discovers relevant events and organizers β€’ Extracts available contact information β€’ Collects event metadata β€’ Applies email domain filters β€’ Stops automatically when limits are reached #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keyword": "AI summit", "domain\_emails": \[ "@gmail.com", "@cvent.com" ], "max\_items": 30, "platform": "Eventbrite" } ``` #### Input Fields | Field | Type | Description | | ------------- | ------- | ----------------------------------------------- | | keyword | string | Event, conference, expo, or meeting search term | | domain_emails | array | Optional email domain filters | | max_items | integer | Maximum number of results to collect | | platform | string | Platform to search and extract from | --- ### πŸ“€ Output Example ``` { "title": "Global AI Summit 2025", "url": "https://www.eventbrite.com/e/global-ai-summit-2025", "snippet": "Join global leaders in AI for keynote sessions, panels, and networking opportunities.", "email": "contact@globalaisummit.com", "email\_domain": "globalaisummit.com", "platform": "eventbrite.com", "displayed\_url": "eventbrite.com/global-ai-summit-2025" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | -------------------------- | ------------------------------------------- | | πŸ“¬ Lead Generation | Build targeted event contact databases | | πŸ“’ Event Promotion | Reach organizers, exhibitors, and attendees | | 🎀 Speaker Outreach | Connect with speakers and industry experts | | 🀝 Sponsorship Prospecting | Find event partnership opportunities | | πŸ“ˆ Event Intelligence | Analyze event trends and industries | | πŸ€– Automation Pipelines | Feed event data into CRM and workflows | --- ### 🌍 Supported Platforms #### 🎫 Event & Conference Platforms β€’ Eventbrite β€’ Meetup β€’ Ticketmaster β€’ Eventzilla β€’ Hopin β€’ Cvent β€’ 10Times β€’ AllConferences β€’ ConferenceAlerts β€’ Eventful β€’ Evite β€’ TicketTailor β€’ Bizzabo β€’ SplashThat β€’ Luma β€’ Universe β€’ Billetto β€’ Eventbee β€’ Whova β€’ PaperlessPost β€’ Peatix β€’ Events.com #### πŸ›οΈ Conference & Trade Show Directories β€’ TechEvents β€’ GlobalConferences β€’ IEEE Conferences β€’ Academic Conferences β€’ ExpoBeds β€’ TradeFairDates #### 🎡 Entertainment & Festival Platforms β€’ Skiddle β€’ Songkick β€’ DiceFM β€’ Resident Advisor β€’ Bandsintown β€’ Festicket β€’ StubHub β€’ TicketWeb β€’ TicketSpice β€’ TicketLeap β€’ EventCreate --- ### 🌍 Why Use This Scraper? πŸ“§ Discover organizer and event contact emails 🎫 Find conferences, expos, and industry events 🀝 Identify sponsorship and partnership opportunities 🎀 Connect with speakers and exhibitors πŸ“Š Build event intelligence datasets πŸ“ˆ Analyze event trends and industries ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Structured and clean datasets 🧠 Ideal for event organizers, agencies, marketers, exhibitors, sponsors, and conference planners πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper searches event and conference platforms using your keyword and extracts publicly available event information, organizer details, metadata, and contact emails when available. #### Can I filter by email domains? Yes. You can provide one or multiple email domains such as @gmail.com, @conference.org, or any custom domain. #### Which platforms are supported? Major event platforms, ticketing services, conference directories, trade show websites, and event marketplaces are supported. #### Does the scraper collect event URLs? Yes. Direct event, organizer, and registration URLs are collected whenever available. #### Can I monitor conferences over time? Yes. You can schedule recurring Apify runs to track new events and organizers. #### Is the data collected live? Yes. Data is extracted directly from selected platforms during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the data commercially? Yes. The extracted data can be used for outreach, analytics, CRM enrichment, sponsorship research, event promotion, and business applications, subject to applicable laws and platform terms. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most runs complete within minutes depending on the selected platform and requested result volume. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Events & Conferences Email Scraper" in the Apify Store 3️⃣ Configure your keyword and filters 4️⃣ Run the Actor 5️⃣ Export your data in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by any event platform, conference organizer, ticketing provider, trade show operator, or organization referenced within this Actor. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $9.99 / 1000 results --- ### Related Actors If you're interested in other Events, Conferences, Lead Generation, Research, Marketing, Outreach, or Data Extraction solutions, explore more PrimeScrape tools. (Additional related actors coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool. --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions, enterprise integrations, or dedicated data collection projects via Apify or email. # Actor input Schema ## `KEYWORD` (type: `string`): Event topic, industry, or role to search for (e.g. tech summit, marketing conference, event organizer) ## `DOMAIN_EMAIL` (type: `array`): List of email domains to search for ## `PLATFORM` (type: `string`): Event or conference platform / directory to search on ## `MAX_ITEMS` (type: `integer`): Maximum number of items to extract ## Actor input object example ```json { "KEYWORD": "marketing", "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Eventbrite", "MAX_ITEMS": 10 } ```` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "KEYWORD": "marketing", "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Eventbrite", "MAX_ITEMS": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/events-lead-conferences-email-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "KEYWORD": "marketing", "DOMAIN_EMAIL": ["@gmail.com"], "PLATFORM": "Eventbrite", "MAX_ITEMS": 10, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/events-lead-conferences-email-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "KEYWORD": "marketing", "DOMAIN_EMAIL": [ "@gmail.com" ], "PLATFORM": "Eventbrite", "MAX_ITEMS": 10 }' | apify call delectable_incubator/events-lead-conferences-email-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/events-lead-conferences-email-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Events Lead & Conferences Email Scraper - Low-costπŸ’²πŸ”₯πŸŽ€πŸ”", "description": "Scrape event and conference contacts πŸ”πŸŽ€ with a powerful email scraper. Extract verified organizer and speaker emails, event titles, descriptions, contact details, and source links using keywords, domains, or platforms. Ideal for lead generation, outreach campaigns and market research πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "yRKtPdRJ0uvJyOXpa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~events-lead-conferences-email-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-events-lead-conferences-email-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~events-lead-conferences-email-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-events-lead-conferences-email-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~events-lead-conferences-email-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-events-lead-conferences-email-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "KEYWORD", "DOMAIN_EMAIL", "PLATFORM", "MAX_ITEMS" ], "properties": { "KEYWORD": { "title": "Keyword", "type": "string", "description": "Event topic, industry, or role to search for (e.g. tech summit, marketing conference, event organizer)", "default": "marketing" }, "DOMAIN_EMAIL": { "title": "Email Domains", "type": "array", "description": "List of email domains to search for", "default": [ "@gmail.com", "@outlook.com", "@eventbrite.com" ], "items": { "type": "string" } }, "PLATFORM": { "title": "Platform", "enum": [ "Eventbrite", "Meetup", "Ticketmaster", "Eventzilla", "Hopin", "Cvent", "10Times", "AllConferences", "ConferenceAlerts", "Eventful", "Evite", "TicketTailor", "Bizzabo", "SplashThat", "Luma", "Universe", "Billetto", "Eventbee", "Whova", "PaperlessPost", "Peatix", "Events.com", "TechEvents", "GlobalConferences", "IEEEConferences", "AcademicConferences", "ExpoBeds", "TradeFairDates", "Skiddle", "Songkick", "DiceFM", "ResidentAdvisor", "Bandsintown", "Festicket", "StubHub", "TicketWeb", "TicketSpice", "TicketLeap", "EventCreate" ], "type": "string", "description": "Event or conference platform / directory to search on", "default": "Eventbrite" }, "MAX_ITEMS": { "title": "Max Items", "type": "integer", "description": "Maximum number of items to extract", "default": 10 } } }, "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 } } } } } } } } } } ```