# Luma Event Scraper - lu.ma Events, Hosts & Calendars (`haketa/luma-event-scraper`) Actor Luma (lu.ma) event scraper & API: discover events by city or category, scrape calendars and export name, date, venue & GPS, tickets, guest counts and host social profiles. Event discovery, sponsorship research and creator lead generation โ€” fast, no login. - **URL**: https://apify.com/haketa/luma-event-scraper.md - **Developed by:** [Haketa](https://apify.com/haketa) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Luma Event Scraper ๐ŸŽŸ๏ธ โ€” Scrape lu.ma Events, Hosts & Calendars Extract **Luma ([lu.ma](https://lu.ma/)) events** as clean, structured data โ€” without writing any code. **Discover events by city or category**, scrape entire **calendars/communities**, or pull **individual events**, and get full details including **date, location, GPS, tickets, guest counts and host/organizer social profiles**. Fast and reliable: this scraper is built on Luma's own data layer, so it returns complete, structured JSON โ€” no missing fields, no flaky page-rendering. > ๐Ÿ’ก **Two superpowers:** (1) **City/category discovery** โ€” list every event happening in a city like SF, NYC or London. (2) **Host lead-gen** โ€” every event ships its organizers' Instagram, X/Twitter, LinkedIn, TikTok, YouTube and website. --- ### ๐Ÿ“‹ Table of contents - [What does it do?](#what-does-it-do) - [Use cases](#use-cases) - [How to use it](#how-to-use-it-step-by-step) - [Input parameters](#input-parameters) - [Input examples](#input-examples) - [Output โ€” data fields](#output--data-fields) - [Sample output record](#sample-output-record) - [Host & organizer lead generation](#host--organizer-lead-generation) - [Tips & best practices](#tips--best-practices) - [Frequently asked questions](#frequently-asked-questions) - [Changelog](#changelog) --- ### What does it do? Luma powers tens of thousands of tech meetups, conferences, parties, workshops and community events worldwide. This actor turns Luma into a structured dataset you can export to **JSON, CSV, Excel, XML or HTML**, or pull from the **Apify API**. Four ways to scrape: - ๐ŸŒ† **By city** โ€” discover all upcoming events in a city (e.g. `sf`, `nyc`, `london`). - ๐Ÿท๏ธ **By category** โ€” filter to a topic like `ai`, `tech`, `arts`, `crypto`, `wellness`. - ๐Ÿ“… **By calendar/community** โ€” scrape every upcoming event from a Luma calendar (e.g. a company or community page). - ๐Ÿ”— **By URL** โ€” paste any Luma event, calendar or city URL. For every event you get the **name, start/end time + timezone, venue and full address with GPS coordinates (or online link), cover image, ticket info (free/paid, price, sold-out, spots remaining), guest count, the calendar it belongs to, and full host/organizer profiles with social handles.** Optionally fetch each event's **description, ticket types/prices and categories**. --- ### Use cases **๐ŸŽฏ Event marketers & community builders** - Track every event in your city or niche and benchmark turnout (guest counts). - Find the most active organizers and communities to partner with. - Monitor competitor and ecosystem events in real time. **๐Ÿ“‡ Sales & lead generation** - Build lists of **event organizers with their social profiles and websites**. - Target hosts running events in your category/city for sponsorship or outreach. - Feed organizer leads straight into your CRM. **๐Ÿ“Š Researchers & analysts** - Analyse event trends by city, category, time and price. - Study the events ecosystem with clean, exportable data. **๐Ÿค Sponsors & venues** - Discover upcoming events that fit your audience. - Map events geographically by coordinates. **๐Ÿค– Data & AI teams** - Power event-discovery apps, newsletters and dashboards. - Build datasets of events, hosts and venues. --- ### How to use it (step by step) No coding required. 1. Click **Try for free / Start**. 2. Pick how you want to scrape: - **Cities** โ€” add city slugs like `sf`, `nyc`, `london` (from `luma.com/`). - **Category** โ€” optionally narrow to `ai`, `tech`, `arts`, etc. - **Calendars** โ€” add community/calendar handles (from `luma.com/`). - **Luma URLs** โ€” paste event/calendar/city URLs directly. 3. Set **Max items** (start with 100). 4. Turn on **Include full event details** if you want descriptions, ticket prices and categories. 5. Click **Save & Start**, then export the results. --- ### Input parameters | Field | Type | Description | |------|------|-------------| | `cities` | array | City slugs to discover events in (e.g. `sf`, `nyc`, `london`). | | `category` | string | Optional category slug (e.g. `ai`, `tech`). Works with cities or on its own. | | `calendars` | array | Calendar/community handles to scrape upcoming events from. | | `startUrls` | array | Any Luma URLs โ€” events, calendars, or cities (auto-detected). | | `includeDetails` | boolean | Fetch each event's description, ticket types and categories. Default `false`. | | `maxItems` | integer | Max events. `0` = no limit. Default `200`. | | `proxyConfiguration` | object | Proxy settings. Default: Apify Proxy on. | | `maxConcurrency` | integer | Max parallel requests. Default `5`. | --- ### Input examples **1) Discover all events in San Francisco** ```json { "cities": ["sf"], "maxItems": 200 } ```` **2) AI events across several cities** ```json { "cities": ["sf", "nyc", "london"], "category": "ai", "maxItems": 500 } ``` **3) Scrape a community calendar with full details** ```json { "calendars": ["vizcom"], "includeDetails": true } ``` **4) Specific events / pages by URL** ```json { "startUrls": [ { "url": "https://luma.com/nqkyxczb" }, { "url": "https://luma.com/sf" } ], "includeDetails": true } ``` *** ### Output โ€” data fields Each event is one dataset row. Core fields: | Field | Description | |------|-------------| | `eventId` | Luma event ID | | `name` | Event name | | `url` / `slug` | Event URL and slug | | `eventType` | Event type | | `visibility` | public / private | | `startAt` / `endAt` | Start and end datetime (ISO) | | `timezone` | Event timezone | | `locationType` | `offline` / `online` | | `isOnline` | Boolean | | `address` / `fullAddress` | Venue address | | `city` / `region` / `country` | Location | | `latitude` / `longitude` | GPS coordinates | | `virtualUrl` | Link for online events | | `coverUrl` / `socialImageUrl` | Images | | `isFree` | Boolean | | `price` / `maxPrice` | Ticket price(s) | | `isSoldOut` | Boolean | | `spotsRemaining` | Remaining spots | | `requireApproval` | Whether registration needs approval | | `registrationAvailability` | Registration state | | `guestCount` | Number of guests | | `ticketCount` | Number of tickets | | `calendarName` / `calendarSlug` / `calendarUrl` | Owning calendar | | `hosts` | Array of host profiles (see below) | | `hostCount` | Number of hosts | | `featuredGuestCount` | Number of featured guests | | `scrapedAt` | ISO timestamp | Each entry in `hosts[]`: `name`, `username`, `website`, `bio`, `avatarUrl`, `isVerified`, `instagram`, `twitter`, `linkedin`, `tiktok`, `youtube`. With **`includeDetails: true`** you also get: | Field | Description | |------|-------------| | `description` | Full event description (plain text) | | `ticketTypes` | Array of `{ name, price, currency, maxCapacity, isHidden }` | | `categories` | Array of `{ slug, name }` | *** ### Sample output record ```json { "eventId": "evt-8DRVhINH9LTM7T4", "name": "Where Design Begins: An Open Exhibition", "url": "https://luma.com/nqkyxczb", "slug": "nqkyxczb", "startAt": "2026-06-04T18:00:00.000Z", "endAt": "2026-06-11T21:00:00.000Z", "timezone": "America/Los_Angeles", "locationType": "offline", "isOnline": false, "fullAddress": "488 Bryant St, San Francisco, CA 94107, USA", "city": "San Francisco", "region": "California", "country": "United States", "latitude": 37.7817006, "longitude": -122.3956533, "coverUrl": "https://images.lumacdn.com/...", "isFree": true, "isSoldOut": false, "requireApproval": false, "guestCount": 142, "calendarName": "Vizcom", "calendarUrl": "https://luma.com/vizcom", "hosts": [ { "name": "Vizcom", "username": "vizcom", "website": "https://vizcom.com/", "bio": "From Sketch to 3D in seconds.", "isVerified": true, "instagram": "vizcom", "twitter": "vizcomtech", "linkedin": "vizcom" } ], "hostCount": 1, "scrapedAt": "2026-06-04T12:00:00.000Z" } ``` *** ### Host & organizer lead generation Every event includes its **organizers' contact and social footprint** โ€” name, username, website, bio, and handles for **Instagram, X/Twitter, LinkedIn, TikTok and YouTube**. Combine this with **city/category discovery** to build targeted lists like *"every AI-event organizer in NYC, with their socials"* โ€” ideal for partnerships, sponsorships and outreach. *** ### Tips & best practices - ๐ŸŒ† **Use city slugs from the URL bar** โ€” open `luma.com`, go to a city, and copy the slug (e.g. `sf`, `los-angeles`). - ๐Ÿท๏ธ **Combine city + category** to focus on exactly the events you care about. - ๐Ÿงช **Start with `maxItems: 50`** to confirm your inputs. - โšก **Leave `includeDetails` off** for fast, cheap discovery; turn it on when you need descriptions, ticket prices and categories. - ๐Ÿ’พ **Use the Apify API / integrations** to push results into Google Sheets, a database, or a webhook, and **schedule** runs to track new events. *** ### Frequently asked questions **Can I get every event in a city?** Yes โ€” add the city slug to **Cities** and the actor paginates through all upcoming events. **Can I filter by topic?** Yes โ€” set **Category** (e.g. `ai`, `tech`, `arts`) alone or together with cities. **Do I get organizer contact info?** Yes โ€” each event includes its hosts with website, bio and social handles. **Can I scrape a single event or a community calendar?** Yes โ€” paste the URL into **Luma URLs**, or add a calendar handle to **Calendars**. **Do I get ticket prices and descriptions?** Turn on **Include full event details** to add descriptions, ticket types/prices and categories. **What export formats are supported?** JSON, CSV, Excel, XML, HTML table, RSS โ€” plus the Apify API and integrations. *** ### Changelog **0.1.0** - Initial release: discover events by city and category, scrape calendars/communities, and scrape individual events by URL. - Cursor pagination, optional full-detail enrichment (description, ticket types, categories). - Complete host/organizer profiles with social handles for lead generation. # Actor input Schema ## `cities` (type: `array`): Discover events in one or more cities by their Luma slug, e.g. 'sf', 'nyc', 'london', 'los-angeles', 'berlin'. Find the slug in the city page URL: luma.com/. ## `category` (type: `string`): Filter discovery by a category slug, e.g. 'ai', 'tech', 'arts', 'crypto', 'wellness'. Works together with Cities, or on its own. ## `calendars` (type: `array`): Scrape all upcoming events from one or more Luma calendars/communities by their handle, e.g. 'vizcom'. Find it in the URL: luma.com/. ## `startUrls` (type: `array`): Paste any luma.com URLs โ€” individual events, calendar pages, or city pages. The actor auto-detects each type. Overrides nothing; combined with the fields above. ## `includeDetails` (type: `boolean`): Fetch each event's detail (one extra request per event) to add the description, ticket types/prices and categories. Disable for faster, cheaper runs (core fields are already included). ## `maxItems` (type: `integer`): Maximum number of events to scrape. Use 0 for no limit. ## `proxyConfiguration` (type: `object`): Datacenter proxies are sufficient. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. ## Actor input object example ```json { "cities": [ "sf" ], "includeDetails": false, "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 5 } ``` # Actor output Schema ## `events` (type: `string`): All events collected during the run. ## `runUrl` (type: `string`): Open this run in the Apify Console. # 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 = { "cities": [ "sf" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("haketa/luma-event-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "cities": ["sf"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("haketa/luma-event-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "cities": [ "sf" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call haketa/luma-event-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haketa/luma-event-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Luma Event Scraper - lu.ma Events, Hosts & Calendars", "description": "Luma (lu.ma) event scraper & API: discover events by city or category, scrape calendars and export name, date, venue & GPS, tickets, guest counts and host social profiles. Event discovery, sponsorship research and creator lead generation โ€” fast, no login.", "version": "0.1", "x-build-id": "TGwxjCiD8Q2NMrodD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haketa~luma-event-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haketa-luma-event-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/haketa~luma-event-scraper/runs": { "post": { "operationId": "runs-sync-haketa-luma-event-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/haketa~luma-event-scraper/run-sync": { "post": { "operationId": "run-sync-haketa-luma-event-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "cities": { "title": "Cities (discover events by city)", "type": "array", "description": "Discover events in one or more cities by their Luma slug, e.g. 'sf', 'nyc', 'london', 'los-angeles', 'berlin'. Find the slug in the city page URL: luma.com/.", "items": { "type": "string" } }, "category": { "title": "Category filter (optional)", "type": "string", "description": "Filter discovery by a category slug, e.g. 'ai', 'tech', 'arts', 'crypto', 'wellness'. Works together with Cities, or on its own." }, "calendars": { "title": "Calendars / communities", "type": "array", "description": "Scrape all upcoming events from one or more Luma calendars/communities by their handle, e.g. 'vizcom'. Find it in the URL: luma.com/.", "items": { "type": "string" } }, "startUrls": { "title": "Luma URLs (events / calendars / cities)", "type": "array", "description": "Paste any luma.com URLs โ€” individual events, calendar pages, or city pages. The actor auto-detects each type. Overrides nothing; combined with the fields above.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeDetails": { "title": "Include full event details", "type": "boolean", "description": "Fetch each event's detail (one extra request per event) to add the description, ticket types/prices and categories. Disable for faster, cheaper runs (core fields are already included).", "default": false }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of events to scrape. Use 0 for no limit.", "default": 200 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Datacenter proxies are sufficient.", "default": { "useApifyProxy": true } }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum parallel requests.", "default": 5 } } }, "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 } } } } } } } } } } ```