# Luma Guest List Scraper + Linkedin Urls (`flowengine/luma-guest-list-scraper-linkedin-urls`) Actor Scrape guest lists from Luma (lu.ma) events. Exports attendee names, LinkedIn URLs, Instagram handles, X (Twitter) profiles, bios, and websites. Requires your Luma session cookie/ public guest list . Export results as CSV, JSON, or Excel. - **URL**: https://apify.com/flowengine/luma-guest-list-scraper-linkedin-urls.md - **Developed by:** [Amit EL](https://apify.com/flowengine) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 0 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 Guest Scraper — Apify Actor Scrape guest lists from [Luma](https://lu.ma) events. Exports names, LinkedIn, Instagram, X (Twitter) profiles, bios, and websites. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `eventUrls` | string[] | ✅ | Luma event URLs or slugs | | `lumaCookie` | string | ✅ | Your `luma.auth-session-key` cookie | | `includeLinkedin` | boolean | | Include LinkedIn URLs (default: true) | | `includeInstagram` | boolean | | Include Instagram handles (default: true) | | `includeX` | boolean | | Include X/Twitter handles (default: true) | | `includeBio` | boolean | | Include short bio (default: false) | | `includeWebsite` | boolean | | Include website (default: false) | ### Requirements This actor can only scrape guest lists you have permission to view. That means: - You are the **event host or co-host**, OR - You are **registered as an attendee**, OR - The event has a **public guest list** If you don't have access, the scraper will return no results. ### How to get your Luma cookie 1. Log into [lu.ma](https://lu.ma) 2. Open DevTools → Application → Cookies 3. Copy the value of `luma.auth-session-key` 4. Paste it into the `lumaCookie` input field ### Output Each guest is pushed to the default dataset with fields: ```json { "event_slug": "my-event", "event_id": "evt-abc123", "name": "Jane Doe", "first_name": "Jane", "last_name": "Doe", "linkedin": "https://linkedin.com/in/janedoe", "instagram": "https://instagram.com/janedoe", "x": "https://x.com/janedoe" } ```` Export results as CSV, JSON, or Excel from the Apify console. ### Run locally ```bash npm install echo '{ "eventUrls": ["https://lu.ma/your-event"], "lumaCookie": "your-cookie" }' > storage/key_value_stores/default/INPUT.json npm start ``` # Actor input Schema ## `eventUrls` (type: `array`): List of Luma event URLs (e.g. https://lu.ma/my-event) or just the slug (e.g. my-event). ## `lumaCookie` (type: `string`): Your luma session cookie value. Required to access guest lists — only works for events you host, attend, or that have a public guest list. Log into lu.ma, open DevTools > Application > Cookies, copy the value of the 'luma.auth-session-key' cookie. ## `includeLinkedin` (type: `boolean`): Include LinkedIn profile URLs in output. ## `includeInstagram` (type: `boolean`): Include Instagram handles in output. ## `includeX` (type: `boolean`): Include X/Twitter handles in output. ## `includeBio` (type: `boolean`): Include short bio in output. ## `includeWebsite` (type: `boolean`): Include personal website in output. ## Actor input object example ```json { "eventUrls": [ "https://lu.ma/example-event" ], "includeLinkedin": true, "includeInstagram": true, "includeX": true, "includeBio": false, "includeWebsite": false } ``` # 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 = { "eventUrls": [ "https://lu.ma/example-event" ] }; // Run the Actor and wait for it to finish const run = await client.actor("flowengine/luma-guest-list-scraper-linkedin-urls").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 = { "eventUrls": ["https://lu.ma/example-event"] } # Run the Actor and wait for it to finish run = client.actor("flowengine/luma-guest-list-scraper-linkedin-urls").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 '{ "eventUrls": [ "https://lu.ma/example-event" ] }' | apify call flowengine/luma-guest-list-scraper-linkedin-urls --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flowengine/luma-guest-list-scraper-linkedin-urls", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Luma Guest List Scraper + Linkedin Urls", "description": "Scrape guest lists from Luma (lu.ma) events. Exports attendee names, LinkedIn URLs, Instagram handles, X (Twitter) profiles, bios, and websites. Requires your Luma session cookie/ public guest list . Export results as CSV, JSON, or Excel.", "version": "0.0", "x-build-id": "QBQCXFgoEAzskzIeT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flowengine~luma-guest-list-scraper-linkedin-urls/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flowengine-luma-guest-list-scraper-linkedin-urls", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flowengine~luma-guest-list-scraper-linkedin-urls/runs": { "post": { "operationId": "runs-sync-flowengine-luma-guest-list-scraper-linkedin-urls", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flowengine~luma-guest-list-scraper-linkedin-urls/run-sync": { "post": { "operationId": "run-sync-flowengine-luma-guest-list-scraper-linkedin-urls", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "eventUrls", "lumaCookie" ], "properties": { "eventUrls": { "title": "Event URLs or Slugs", "type": "array", "description": "List of Luma event URLs (e.g. https://lu.ma/my-event) or just the slug (e.g. my-event).", "items": { "type": "string" } }, "lumaCookie": { "title": "Luma Session Cookie", "type": "string", "description": "Your luma session cookie value. Required to access guest lists — only works for events you host, attend, or that have a public guest list. Log into lu.ma, open DevTools > Application > Cookies, copy the value of the 'luma.auth-session-key' cookie." }, "includeLinkedin": { "title": "Include LinkedIn URLs", "type": "boolean", "description": "Include LinkedIn profile URLs in output.", "default": true }, "includeInstagram": { "title": "Include Instagram", "type": "boolean", "description": "Include Instagram handles in output.", "default": true }, "includeX": { "title": "Include X (Twitter)", "type": "boolean", "description": "Include X/Twitter handles in output.", "default": true }, "includeBio": { "title": "Include Bio", "type": "boolean", "description": "Include short bio in output.", "default": false }, "includeWebsite": { "title": "Include Website", "type": "boolean", "description": "Include personal website in output.", "default": false } } }, "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 } } } } } } } } } } ```