Luma Event Scraper

hipersoft/luma-scraper

Scrape public events from Luma (lu.ma): name, date & time, venue, city, host, cover image, description and ticket info. Browse by city or scrape specific event pages, and export one clean row per event as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per event scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Turn public Luma (lu.ma) event pages into clean, structured data. Browse events by city or topic, or scrape a list of specific event URLs — and get one tidy row per event with the name, date & time, venue, city, host, cover image, ticket info and full description. Export to JSON, CSV or Excel, or pull straight from the API.

Perfect for building event calendars, city guides, community newsletters, market research, lead lists for organizers, or feeding events into your own app, spreadsheet or workflow.

What you get

One flat, ready-to-use record per event:

Field	Description
`name`	Event title
`url` / `slug`	Direct link to the event page
`startAt` / `endAt`	Start and end time (ISO 8601)
`timezone`	Event timezone
`isOnline`	Whether the event is online
`venueName` / `address`	Venue and full address
`city` / `region` / `country`	Location
`latitude` / `longitude`	Map coordinates
`coverImageUrl`	Event cover image
`host` / `hostNames`	Organizer(s)
`calendarName`	The calendar / community it belongs to
`isFree` / `price` / `ticketInfo`	Free vs. paid and ticket status
`guestCount` / `registrationCount`	Attendance numbers (when shown)
`description`	Full event description (detail mode / Include full details)
`categories`	Event topics (detail mode / Include full details)

How to use

1. Discover events (browse & list)

Set mode to Discover events and optionally narrow down:

City — e.g. Paris, London, Singapore, New York. Leave empty to browse popular events across many cities.
Category — e.g. tech, ai, crypto, fooddrink, climate, games, running, books.
Include full event details — also adds the full description and topics to every row.

{
  "mode": "discover",
  "city": "Paris",
  "maxItems": 100
}

2. Event details (from URLs)

Set mode to Event details and paste one or more Luma event links (or their short codes):

{
  "mode": "event_detail",
  "eventUrls": [
    "https://lu.ma/7l3q1vki",
    "o6vbvdqe"
  ]
}

Input reference

Field	Type	Description
`mode`	select	`discover` (browse & list) or `event_detail` (from URLs)
`eventUrls`	array	Event URLs or codes for detail mode
`city`	string	Optional city filter for discover mode
`category`	string	Optional topic filter for discover mode
`includeDetails`	boolean	Add full description + topics to discover rows
`maxItems`	integer	Max events to collect (0 = no limit)
`maxConcurrency`	integer	Parallel detail-page fetches

Tips

Start with a small maxItems to preview the shape of the data, then scale up.
Use Discover with a City for the freshest local events, and Event details when you already have a list of links you care about.
Results include ISO timestamps and map coordinates, so they drop straight into calendars, maps and databases.

Notes

This scraper collects public event information only. Please use the data responsibly and in line with Luma's terms.

Input

Field	Type	Description
`mode` What to scrape	string · discover, event_detail	discover = browse and list public events (optionally filtered by a city or category). event_detail = full details for the specific event pages you provide in "Event URLs". Default: `"discover"`
`eventUrls` Event URLs	array	For "Event details" mode. One or more Luma event URLs or event codes, e.g. https://lu.ma/7l3q1vki or just 7l3q1vki. Paste the link straight from your browser.
`city` City (optional)	string	In Discover mode, limit results to one city, e.g. "Paris", "London" or "Singapore". Leave empty to browse popular events across many cities.
`category` Category (optional)	string	In Discover mode, limit results to a topic, e.g. "tech", "ai", "crypto", "fooddrink", "climate", "games", "running" or "books". Leave empty for all topics. Ignored when a City is set.
`includeDetails` Include full event details	boolean	In Discover mode, also open each event's own page to add the full description and topics. Slower, but returns richer rows. Default: `false`
`maxItems` Max items	integer	Maximum number of events to collect in this run (0 = no limit). Default: `100`
`maxConcurrency` Max concurrency	integer	How many event detail pages to fetch in parallel (used in Event details mode and when "Include full event details" is on). Default: `5`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~luma-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "eventUrls": []
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/luma-scraper").call(run_input={
    "eventUrls": []
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/luma-scraper').call({
  "eventUrls": []
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Event scraped Charged for each Luma event returned to your dataset.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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