# Luma Events Scraper - Events, Hosts & Calendars (`elliotpadfield/luma-events-scraper`) Actor Scrape public Luma events, hosts, calendars, ticket signals, guest counts, featured guests, locations, and event details from categories, calendars, or event URLs. - **URL**: https://apify.com/elliotpadfield/luma-events-scraper.md - **Developed by:** [Elliot Padfield](https://apify.com/elliotpadfield) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 luma events 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 ## Luma Events Scraper Find events, hosts, calendars, guest-count signals, and ticket availability from public Luma pages. This scraper is built for lead generation, event research, community mapping, and market intelligence. Use it to discover what is happening in a niche, monitor active event organizers, build prospect lists, or enrich known Luma event and calendar URLs. ### What You Can Scrape - Public events from Luma categories such as AI, crypto, climate, design, and more - Keyword searches inside a Luma category - Location-aware discovery using latitude and longitude - Upcoming events from specific Luma calendars - Event details including descriptions, hosts, dates, ticket signals, and cover images - Public featured guest previews and public attendance counts where available ### Popular Use Cases - Discover startup, AI, founder, investor, or local business events - Build lead lists of event hosts and community organizers - Track competitor or partner event activity - Find high-signal events in a city or niche - Enrich a list of Luma event URLs with structured data - Monitor public calendars for upcoming events ### Input Options You can start from one or more source types: - `categorySlugs`: Luma category slugs or URLs, for example `ai` or `https://luma.com/ai` - `calendarUrls`: Luma calendar URLs or slugs - `eventUrls`: Specific Luma event URLs to enrich - `searchQuery`: Optional keyword search inside selected categories - `latitude` and `longitude`: Optional location filter for discovery - `maxEvents`: Maximum number of events to save - `includeEventDetails`: Fetch event pages for richer descriptions and metadata - `includeFeaturedGuests`: Include public featured guest names where Luma shows them Common public Luma categories include `ai`, `tech`, `crypto`, `arts`, `climate`, `fitness`, `wellness`, and `food`. You can also enter another public Luma category slug if you know it. Location filters use a center point. Luma does not provide a custom radius setting for this discovery view, so nearby results are ranked using Luma's own location logic rather than a strict distance radius. ### Sample Inputs #### Discover AI founder events in San Francisco ```json { "categorySlugs": ["ai"], "searchQuery": "founder", "locationPreset": "san-francisco", "maxEvents": 100, "includeEventDetails": true, "includeFeaturedGuests": true } ```` #### Monitor a specific Luma calendar ```json { "categorySlugs": [], "calendarUrls": ["https://luma.com/builderandbrews"], "maxEvents": 50, "includeEventDetails": true } ``` #### Enrich known Luma event URLs ```json { "categorySlugs": [], "eventUrls": [ "https://luma.com/1rna5bdp" ], "includeEventDetails": true, "includeFeaturedGuests": true } ``` ### Output Fields Each dataset item represents one public Luma event and can include: - Event name, URL, start time, end time, and timezone - City, region, country, address, latitude, and longitude - Calendar name, calendar URL, and calendar ID - Host names and host profile URLs - Public featured guest names - Guest count and ticket count - Registration status, approval requirement, and sold-out status - Event description, categories, tags, and cover image ### Sample Output ```json { "sourceType": "category", "sourceValue": "ai", "eventApiId": "evt-2l0XqvccXuVqROV", "eventName": "Builders & Brews London", "eventUrl": "1rna5bdp", "lumaUrl": "https://luma.com/1rna5bdp", "startAt": "2026-05-22T08:00:00.000Z", "timezone": "Europe/London", "coverImageUrl": "https://images.lumacdn.com/uploads/example.jpg", "calendarApiId": "cal-ElvU4UVlAD13ewe", "calendarName": "Builders & Brews", "calendarSlug": "builderandbrews", "calendarUrl": "https://luma.com/builderandbrews", "hostNames": ["Builders & Brews"], "hostUrls": ["https://luma.com/user/example"], "featuredGuestNames": ["Ada Lovelace"], "guestCount": 128, "ticketCount": 128, "registrationStatus": "available", "approvalRequired": false, "isSoldOut": false, "description": "Public event description when available.", "categories": ["AI"], "tags": ["startups", "ai"], "scrapedAt": "2026-05-22T12:00:00.000Z" } ``` ### Notes This scraper collects public Luma event information only. Some fields may be unavailable for events where the organizer has chosen not to publish them. # Actor input Schema ## `categorySlugs` (type: `array`): Choose one or more public Luma category slugs. The suggested categories are common public Luma categories, but you can also type a custom category slug or paste a category URL. ## `calendarUrls` (type: `array`): Specific Luma calendar URLs or slugs to scrape for upcoming events. ## `eventUrls` (type: `array`): Specific Luma event URLs to enrich. ## `searchQuery` (type: `string`): Optional. Search within selected categories for terms such as founder, investor, AI agents, fintech, meetup, coffee, or demo day. ## `locationPreset` (type: `string`): Optional. Pick a common city for local discovery. Choose Anywhere for global category results. Custom latitude and longitude below override this preset. ## `latitude` (type: `number`): Optional. Use with Custom Longitude to set a custom location center. Leave blank to use the Location preset or global results. ## `longitude` (type: `number`): Optional. Use with Custom Latitude to set a custom location center. Luma controls the nearby-results range; this actor does not expose a radius field. ## `maxEvents` (type: `integer`): Maximum number of unique events to save. ## `includeEventDetails` (type: `boolean`): Fetch each event page to enrich list results with descriptions, categories, and additional metadata. Leave off for faster sample runs. ## `includeFeaturedGuests` (type: `boolean`): Include public featured guest names when Luma exposes them on discovery or event pages. This does not scrape private attendee lists. ## `maxConcurrency` (type: `integer`): Number of event detail pages to fetch in parallel. ## `requestDelayMs` (type: `integer`): Base delay in milliseconds between retry attempts after transient failures. ## `maxRetries` (type: `integer`): Number of retries for transient HTTP, timeout, or proxy failures. ## Actor input object example ```json { "categorySlugs": [ "ai" ], "calendarUrls": [ "https://luma.com/builderandbrews" ], "eventUrls": [ "https://luma.com/1rna5bdp" ], "locationPreset": "", "latitude": 37.7749, "longitude": -122.4194, "maxEvents": 5, "includeEventDetails": false, "includeFeaturedGuests": true, "maxConcurrency": 5, "requestDelayMs": 250, "maxRetries": 3 } ``` # Actor output Schema ## `results` (type: `string`): Public Luma events, host and calendar metadata, ticket signals, and featured guest previews stored in the default dataset. # 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 = { "categorySlugs": [ "ai" ], "locationPreset": "", "maxEvents": 5, "includeEventDetails": false, "includeFeaturedGuests": true, "maxConcurrency": 5, "requestDelayMs": 250, "maxRetries": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("elliotpadfield/luma-events-scraper").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 = { "categorySlugs": ["ai"], "locationPreset": "", "maxEvents": 5, "includeEventDetails": False, "includeFeaturedGuests": True, "maxConcurrency": 5, "requestDelayMs": 250, "maxRetries": 3, } # Run the Actor and wait for it to finish run = client.actor("elliotpadfield/luma-events-scraper").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 '{ "categorySlugs": [ "ai" ], "locationPreset": "", "maxEvents": 5, "includeEventDetails": false, "includeFeaturedGuests": true, "maxConcurrency": 5, "requestDelayMs": 250, "maxRetries": 3 }' | apify call elliotpadfield/luma-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=elliotpadfield/luma-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Luma Events Scraper - Events, Hosts & Calendars", "description": "Scrape public Luma events, hosts, calendars, ticket signals, guest counts, featured guests, locations, and event details from categories, calendars, or event URLs.", "version": "0.0", "x-build-id": "myIyZi4c3JUb70HVo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/elliotpadfield~luma-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-elliotpadfield-luma-events-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/elliotpadfield~luma-events-scraper/runs": { "post": { "operationId": "runs-sync-elliotpadfield-luma-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/elliotpadfield~luma-events-scraper/run-sync": { "post": { "operationId": "run-sync-elliotpadfield-luma-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categorySlugs": { "title": "Luma Categories", "uniqueItems": true, "type": "array", "description": "Choose one or more public Luma category slugs. The suggested categories are common public Luma categories, but you can also type a custom category slug or paste a category URL.", "items": { "type": "string", "enumSuggestedValues": [ "ai", "tech", "crypto", "arts", "climate", "fitness", "wellness", "food" ], "enumTitles": [ "AI", "Tech", "Crypto", "Arts & Culture", "Climate", "Fitness", "Wellness", "Food & Drink" ] }, "default": [ "ai" ] }, "calendarUrls": { "title": "Calendar URLs", "uniqueItems": true, "type": "array", "description": "Specific Luma calendar URLs or slugs to scrape for upcoming events.", "items": { "type": "string" } }, "eventUrls": { "title": "Event URLs", "uniqueItems": true, "type": "array", "description": "Specific Luma event URLs to enrich.", "items": { "type": "string" } }, "searchQuery": { "title": "Keyword Filter", "type": "string", "description": "Optional. Search within selected categories for terms such as founder, investor, AI agents, fintech, meetup, coffee, or demo day." }, "locationPreset": { "title": "Location", "enum": [ "", "san-francisco", "new-york", "london", "los-angeles", "berlin", "paris", "singapore" ], "type": "string", "description": "Optional. Pick a common city for local discovery. Choose Anywhere for global category results. Custom latitude and longitude below override this preset.", "default": "" }, "latitude": { "title": "Custom Latitude", "minimum": -90, "maximum": 90, "type": "number", "description": "Optional. Use with Custom Longitude to set a custom location center. Leave blank to use the Location preset or global results." }, "longitude": { "title": "Custom Longitude", "minimum": -180, "maximum": 180, "type": "number", "description": "Optional. Use with Custom Latitude to set a custom location center. Luma controls the nearby-results range; this actor does not expose a radius field." }, "maxEvents": { "title": "Maximum Events", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of unique events to save.", "default": 5 }, "includeEventDetails": { "title": "Include Event Details", "type": "boolean", "description": "Fetch each event page to enrich list results with descriptions, categories, and additional metadata. Leave off for faster sample runs.", "default": false }, "includeFeaturedGuests": { "title": "Include Featured Guests", "type": "boolean", "description": "Include public featured guest names when Luma exposes them on discovery or event pages. This does not scrape private attendee lists.", "default": true }, "maxConcurrency": { "title": "Maximum Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of event detail pages to fetch in parallel.", "default": 5 }, "requestDelayMs": { "title": "Retry Delay", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Base delay in milliseconds between retry attempts after transient failures.", "default": 250 }, "maxRetries": { "title": "Maximum Retries", "minimum": 0, "maximum": 8, "type": "integer", "description": "Number of retries for transient HTTP, timeout, or proxy failures.", "default": 3 } } }, "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 } } } } } } } } } } ```