Resident Advisor Scraper — Events, Clubs, DJs & Promoter Leads

Extract complete Resident Advisor (ra.co) data for the global electronic-music scene — events with full lineups, ticket cost, genres, attendance and venue geo, plus club/venue, DJ/artist and promoter lead records with addresses, phone numbers, websites, social links and booking emails. Search any city by date, pull a venue's full profile, or resolve a DJ by name.

No login, no API key, no browser — fast JSON extraction straight from RA's GraphQL backend with 99%+ reliability.

Why this Resident Advisor scraper?

Most RA scrapers stop at the event listing and return events only. This actor ships the richest dataset in the category — four entity types, deep lineup data, and a real lead-generation layer:

Data	Typical scrapers	This actor
Events by city + date window	✅	✅
Full lineup (artist IDs + names)	partial	✅
Genres, ticket cost, min age, attendance	partial	✅
Venue address, capacity, geo (lat/lng)	❌	✅
DJ set times + SoundCloud/Mixcloud player links	❌	✅ opt-in
Club / venue lead records (address, phone, website, capacity)	❌	✅
DJ / artist lead records (booking emails, website, socials)	❌	✅
Promoter lead records (website, email, socials, followers)	❌	✅
Contact emails & phones crawled from official websites	❌	✅ opt-in
Lead score (0–100) per venue / artist / promoter	❌	✅
Monitor mode — only new records across runs	❌	✅

Use cases

• Talent booking & A&R — resolve DJs/artists by name and pull their booking agent emails, websites, SoundCloud/Discogs, follower counts and upcoming-event volume — ready-to-contact talent leads.
• Venue & promoter lead generation — clubs and promoters buy lighting, sound, ticketing, insurance, security, drinks and marketing. Score them by audience (followerCount, eventCountThisYear, capacity) and reach them directly (website, contactEmails, phone).
• Event discovery & aggregation — feed listings apps, newsletters and city guides with structured events including lineups, genres, prices and attendance for Berlin, London, New York, Amsterdam, Ibiza, and hundreds more.
• Market & trend intelligence — track which genres, artists and promoters are programmed where, ticket-price levels, and crowd interest (attending, interestedCount) by city over time.
• Tour & festival routing — find every event an artist plays and every festival in a region, with venues and dates.
• Competitor & roster monitoring — schedule recurring runs to watch a city, venue or promoter for newly announced events.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the Resident Advisor Scraper, pick a mode, enter cities (or DJ names, or paste ra.co URLs), and click Start.
3. Watch results stream into the dataset table.
4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
    "mode": "events",
    "areas": ["de/berlin", "uk/london"],
    "dateFrom": "2026-07-01",
    "dateTo": "2026-07-31",
    "genres": ["techno", "house"],
    "maxResults": 300,
    "includeEventDetail": false,
    "enrichArtists": false
}

• mode — events (gigs/club nights/festivals by city + date), venues (club leads), artists (DJ leads + booking emails), or promoters (organizer leads).
• areas — cities for events / venues / promoters. Accepts an RA city path (de/berlin, uk/london, us/losangeles), a plain city name (Berlin, New York City), or a numeric RA area id (34). Find the path in any RA URL: ra.co/events/de/berlin.
• searchTerms — DJ/artist names for artists mode (Boys Noize, Charlotte de Witte); resolved via RA search.
• startUrls — any ra.co URL, auto-routed: events (/events/123456), clubs (/clubs/5031), DJs (/dj/boysnoize), promoters (/promoters/8711), or a city page (/events/de/berlin).
• dateFrom / dateTo (events) — date window. Defaults to today → +3 months.
• genres (events) — keep only events tagged with these genres (techno, house, drum-and-bass, disco, …).
• festivalsOnly (events) — keep only multi-day / festival events.
• includeEventDetail (events, default false) — add DJ set times, SoundCloud/Mixcloud player links and multi-day child events (one extra call per event).
• enrichArtists (events, default false) — fetch every lineup artist's profile and emit deduplicated artist lead records with booking emails.
• crawlWebsiteContacts (default false) — crawl venue/promoter/artist websites (home + contact/about, ≤3 pages) for contact emails, phones and extra socials.
• venueOrderBy (venues/promoters) — POPULAR, LATEST, or ALPHABETICAL.
• maxResults / deduplicateResults / maxConcurrency — limits.
• monitorMode / monitorStoreName — output only records not seen in previous runs (see below).

Output

One record per event (type: "event"), plus optional venue / artist / promoter lead records (type: "venue" | "artist" | "promoter"):

{
    "type": "event",
    "eventId": "2466162",
    "title": "Klubnacht: Surgeon, Anetha, SPFDJ",
    "url": "https://ra.co/events/2466162",
    "date": "2026-07-18T00:00:00.000",
    "startTime": "2026-07-18T23:59:00.000",
    "endTime": "2026-07-19T12:00:00.000",
    "durationMinutes": 721,
    "isFestival": false,
    "isTicketed": true,
    "minimumAge": 18,
    "cost": "20.00",
    "description": "An all-night techno marathon across three floors…",
    "attending": 1240,
    "interestedCount": 1240,
    "genres": [{ "id": "5", "name": "Techno", "slug": "techno" }],
    "genreNames": ["Techno"],
    "artists": [{ "id": "943", "name": "Surgeon", "url": "https://ra.co/dj/surgeon" }],
    "artistNames": ["Surgeon", "Anetha", "SPFDJ"],
    "lineupParsed": [{ "id": "943", "name": "Surgeon" }],
    "promoters": [{ "id": "1039", "name": "OstGut GmbH", "url": "https://ra.co/promoters/1039" }],
    "promoterNames": ["OstGut GmbH"],
    "venueId": "5031",
    "venueName": "Berghain | Panorama Bar | Säule",
    "venueAddress": "70 Am Wriezener Bahnhof, 10243 Berlin, Germany",
    "venueWebsite": "http://www.berghain.de",
    "venueCapacity": 1500,
    "venueLatitude": 52.511118,
    "venueLongitude": 13.443025,
    "area": "Berlin",
    "country": "Germany",
    "countryCode": "DE",
    "playerLinks": [{ "audioService": "SoundCloud", "sourceId": "https://soundcloud.com/surgeonwsr" }],
    "scrapedAt": "2026-06-17T12:00:00.000Z"
}

Artist lead record (mode: "artists" or enrichArtists):

{
    "type": "artist",
    "artistId": "943",
    "name": "Boys Noize",
    "url": "https://ra.co/dj/boysnoize",
    "country": "Germany",
    "bookingDetails": "BOOKING EU & REST OF THE WORLD: martje@decked-out.co.uk …",
    "bookingEmails": ["martje@decked-out.co.uk", "lee@amonly.com", "florian@fourartists.com"],
    "website": "http://www.boysnoize.com",
    "soundcloud": "https://www.soundcloud.com/boysnoize",
    "discogs": "https://www.discogs.com/artist/Boys+Noize",
    "followerCount": 26804,
    "upcomingEventsCount": 17,
    "socialLinks": { "facebook": "…", "twitter": "…", "soundcloud": "…" },
    "leadScore": 77,
    "scrapedAt": "2026-06-17T12:00:00.000Z"
}

Monitor new records automatically

Turn on monitorMode to make repeat runs output only records you haven't seen before. The actor remembers ids in a named key-value store (monitorStoreName) and skips them on the next run — perfect for a daily "what's newly announced in Berlin" feed or a fresh-leads pipeline.

This is fully compatible with Apify Schedules — there's no conflict: the schedule decides when the run fires, monitor mode decides what's new inside each run. Use a different monitorStoreName per saved task so they track independently.

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it hourly/daily/weekly to monitor a city, venue or promoter for new events; perfect for newsletters and lead pipelines.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/resident-advisor-scraper').call({
    mode: 'events',
    areas: ['de/berlin'],
    genres: ['techno'],
    maxResults: 300,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} events`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new venue/promoter leads straight into your CRM.
• Slack — get notified when a monitored city announces new events.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find techno events in Berlin next month and list the promoters' contacts" and let it run this scraper for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

Build a complete events & nightlife data stack:

• Eventbrite Scraper — events with ticket prices + organizer leads.
• Sched Conference Scraper — sessions and speakers from Sched conference sites.
• Whova Event Scraper — attendees, agendas, and sponsors from Whova event apps.
• Swapcard Exhibitor Scraper — exhibitor lists and booth data from trade shows.
• SoundCloud Scraper — artists, tracks, and creator contacts.
• YouTube Scraper — channels, videos, and creator leads.
• Bark Listing Scraper — local service-provider leads.
• Facebook Ad Library Scraper — competitor ad intelligence.

Tips

• Big cities: a 3-month window in Berlin or London can return 1,000+ events. Narrow dateFrom/dateTo or set genres to focus, and raise maxResults to go deeper.
• City paths: the most reliable areas value is the path from the RA URL (de/berlin, nl/amsterdam). Plain city names and numeric area ids also work.
• Booking leads: use mode: "artists" with a list of DJ names — bookingEmails are parsed straight from each artist's RA booking section.
• Emails for venues/promoters: RA rarely publishes these directly, so turn on crawlWebsiteContacts to pull them from the official website (the same thing a human visitor sees).
• Proxies: the default Apify datacenter proxy works well; switch to residential only if you hit blocks at high volume.

FAQ

How do I scrape Resident Advisor events for a specific city? Put the city in areas — ideally the RA path (de/berlin, uk/london), or just the city name. Combine with dateFrom/dateTo and genres to narrow.

Does it need the RA API or a login? No. It reads RA's public GraphQL backend directly — no key, cookie, or browser.

Where do booking emails come from? From each artist's own RA "booking" section (bookingDetails), which lists their agency contacts publicly. Extra emails for venues/promoters come from their official website when crawlWebsiteContacts is on.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I monitor new events automatically? Turn on monitorMode and create a Schedule. Each run outputs only newly announced events; add a webhook to push them into your tools.

A field is null — why? Some events genuinely don't publish a cost (free/donation), set times, or a venue website; some artists/promoters don't list a website or email. Fields are null only when the data doesn't exist, not because the scraper skipped them.

Is scraping Resident Advisor legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Resident Advisor's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.