Resident Advisor Events Scraper

Export public electronic-music event listings from Resident Advisor by city area and date range.

The Actor returns structured event IDs, dates, times, lineups, venues, genres, images, ticketed status, and public attending counts. It uses Resident Advisor's public first-party GraphQL surface, so no login, API key, browser, or proxy subscription is required.

What does Resident Advisor Events Scraper do?

Resident Advisor Events Scraper discovers events from one or more RA areas and saves one normalized dataset row per unique event.

It can:

• discover upcoming events from nine convenient city presets;
• query any other RA area by its numeric area ID;
• cover a custom date range of up to 93 days;
• filter results by exact RA genre names;
• paginate through large city calendars;
• combine several cities while deduplicating event IDs;
• stop at a predictable maxItems limit;
• produce JSON, CSV, Excel, XML, or other Apify dataset exports.

The Actor targets ra.co only. It does not invent ticket prices, scrape secondary ticket sites, or claim that every local event appears on Resident Advisor.

Who is it for?

Nightlife and travel apps

Build fresh city guides and electronic-music discovery feeds without manually copying RA listings.

Promoters and booking teams

Monitor event calendars, venue activity, genres, and lineups across selected markets.

Artist and venue researchers

Create repeatable datasets connecting public events with RA artist and venue identifiers.

Data and editorial teams

Schedule a daily or weekly Actor run, export only new date windows, and feed normalized records into a database, spreadsheet, or newsroom workflow.

Why use this Actor?

• Direct structured data: the Actor reads RA's public GraphQL response instead of rendering protected HTML pages.
• Useful output: artists, venue, genres, image, popularity, and timing are normalized in one row.
• Bounded scope: date range, item count, retries, and request page size have explicit limits.
• No automatic residential fallback: runs avoid an unmeasured proxy mode and its unpredictable transfer cost.
• Integration ready: the default Apify dataset works with API clients, webhooks, Make, Zapier, Google Sheets, and cloud storage exports.

What Resident Advisor data can I extract?

Field	Meaning
eventId	Stable Resident Advisor event identifier
listingDate	Date under which RA lists the event
title	Public event title
date	RA event date
startTime, endTime	Scheduled timing when RA provides it
url	Canonical ra.co/events/... URL
imageUrl	Flyer or listing image URL when available
isTicketed	Whether RA marks the event as ticketed
attending	Public RA attending count when available
artists	Artist IDs, names, and RA profile URLs
venue	Venue ID, name, and RA club URL
genres	RA genre IDs and names
areaId	RA area used for discovery
scrapedAt	UTC normalization timestamp

Fields that RA omits are returned as null or empty arrays, depending on the field type.

How to scrape Resident Advisor events

1. Open the Actor input page.
2. Select one or more areas, such as London or Berlin.
3. Optionally set startDate and endDate in YYYY-MM-DD format.
4. Optionally add genre names such as Techno or House.
5. Set a suitable maxItems limit.
6. Start the run.
7. Open the Events dataset view and export the records in your preferred format.

The default input selects London, searches today through the next 14 days, and saves up to 100 events.

Input parameters

Input	Type	Default	Description
areas	string array	["london"]	City presets: Amsterdam, Barcelona, Berlin, Lisbon, London, Melbourne, Paris, Sydney, or Tokyo
areaIds	integer array	none	Other numeric RA area IDs, combined with presets
startDate	string	today	First listing date in YYYY-MM-DD format
endDate	string	start + 14 days	Last listing date; range cannot exceed 93 days
genres	string array	none	Exact, case-insensitive RA genre names
maxItems	integer	100	Maximum unique matching events, from 1 to 5,000

To use only custom IDs, send an empty areas array:

{
  "areas": [],
  "areaIds": [13],
  "maxItems": 100
}

Input examples

Upcoming London events

{
  "areas": ["london"],
  "maxItems": 100
}

Berlin techno listings

{
  "areas": ["berlin"],
  "genres": ["Techno"],
  "maxItems": 50
}

Multi-city feed

{
  "areas": ["london", "berlin", "amsterdam", "paris", "lisbon"],
  "maxItems": 1000
}

Output example

A real run produces rows with this shape:

{
  "eventId": "2331574",
  "listingDate": "2026-07-25T00:00:00.000",
  "title": "The Cause FM: New Frequency",
  "date": "2026-07-25T00:00:00.000",
  "startTime": "2026-07-25T14:00:00.000",
  "endTime": "2026-07-26T04:00:00.000",
  "url": "https://ra.co/events/2331574",
  "imageUrl": "https://images.ra.co/526755cd0f4718e3474f3c277c3590eefd989f07.jpg",
  "isTicketed": true,
  "attending": 3501,
  "artists": [
    {
      "id": "93717",
      "name": "Cousin",
      "url": "https://ra.co/dj/cousin"
    }
  ],
  "venue": {
    "id": "198121",
    "name": "The Cause",
    "url": "https://ra.co/clubs/198121"
  },
  "genres": [
    {
      "id": "39",
      "name": "Club"
    }
  ],
  "areaId": 13,
  "scrapedAt": "2026-07-25T16:06:36.210Z"
}

Artist arrays can contain the full public lineup. Use dataset field selection when you only need summary columns.

How much does it cost to scrape Resident Advisor events?

The Actor uses pay-per-event pricing:

• one Start charge of $0.005 per run;
• one Item processed charge for every saved event;
• no item charge for duplicates, filtered-out rows, empty results, or failed records.

Current event prices decrease by Apify plan tier:

Tier	Price per saved event
Free	$0.000041071
Bronze	$0.000035714
Silver	$0.000027857
Gold	$0.000021429
Platinum	$0.000014286
Diamond	$0.000010000

At the Free tier, 100 saved events cost about $0.0091 including the start charge. A 1,000-event run costs about $0.0461. Genre filters can require more source pages, but billing remains based on saved events, not fetched pages.

Apify compute usage is included in pay-per-event billing; users are not separately charged by this Actor for a proxy because it does not use one.

Pagination, filters, and deduplication

RA returns listing pages of up to 50 rows. The Actor requests pages sequentially for each area and stops when it reaches the source total, receives a short page, or saves maxItems.

Deduplication uses eventId across all requested areas. If the same event appears in more than one selected area, the default dataset contains it once.

Genre filtering is client-side because RA's listing query returns source genre context. A filter matches an exact genre name without case sensitivity. An event with no matching RA genre is skipped and not charged as an item.

Scheduled monitoring workflow

For a repeat feed:

1. choose stable area presets or IDs;
2. run daily with a short forward-looking date window;
3. use eventId as the destination database key;
4. upsert records so attending counts and lineups can refresh;
5. send the dataset through an Apify webhook or integration;
6. retain your own snapshots if historical changes matter.

This Actor does not maintain cross-run history. Each run returns the current public response for its input.

Export and integration options

From the dataset page you can export JSON, JSONL, CSV, Excel, XML, RSS, or HTML.

Common workflows include:

• a scheduled city-events feed in Google Sheets;
• venue and artist enrichment in a CRM;
• a warehouse table keyed by eventId;
• editorial alerts for selected genres;
• Make or Zapier automations triggered after a run;
• custom apps that call the Apify API and read the default dataset.

Run from the Apify API with cURL

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~resident-advisor-events-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"areas":["london"],"maxItems":100}'

For production systems, send the token in an authorization header rather than a URL when your client supports it.

Run from JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/resident-advisor-events-scraper').call({
  areas: ['berlin'],
  genres: ['Techno'],
  maxItems: 50,
});

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

Run from Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("automation-lab/resident-advisor-events-scraper").call(
    run_input={"areas": ["amsterdam"], "maxItems": 100}
)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Use with Apify MCP

Add the Actor to Claude Code:

claude mcp add --transport http apify \
  "https://mcp.apify.com?tools=automation-lab/resident-advisor-events-scraper"

Claude Desktop, Cursor, and VS Code use the same actor-scoped MCP URL. Add this JSON in each client's MCP server settings:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/resident-advisor-events-scraper"
    }
  }
}

Example prompts:

• “Get up to 100 upcoming Resident Advisor events in London.”
• “Create a Berlin techno events dataset from Resident Advisor.”
• “Collect RA listings for London, Paris, and Amsterdam for my city guide.”

Reliability and anti-bot behavior

The normal RA HTML site can show a DataDome challenge. This Actor does not scrape that HTML route. It calls the structured first-party GraphQL endpoint with ordinary browser-origin headers.

Requests retry transient network errors, HTTP 429 responses, and temporary server errors up to three times with backoff. Stable client errors, GraphQL errors, non-JSON challenge responses, and unexpected schemas fail the run instead of returning a misleading empty success.

There is no hidden browser or residential-proxy fallback. If RA changes or protects its GraphQL schema, the Actor will need an update.

Limits and responsible use

• Date ranges are limited to 93 days per run.
• Each run saves at most 5,000 events.
• Area IDs are controlled by Resident Advisor and can change.
• Attending counts, lineups, images, genres, and times reflect RA's current public data and may be missing or edited.
• An empty dataset is valid when the selected area, dates, and genres have no matching public listings.
• The Actor does not buy tickets or access account-only information.

Use reasonable schedules and item limits. Avoid repeatedly collecting unchanged large date ranges when an incremental workflow meets your needs.

Legal and ethical use

This Actor extracts publicly available event information. You are responsible for ensuring that your use complies with Resident Advisor's terms, applicable laws, database rights, copyright, privacy obligations, and your downstream platform's policies.

Do not use the data for harassment, unlawful profiling, spam, or deceptive resale. Attribute sources where appropriate, avoid republishing protected images or editorial material without permission, and honor valid deletion or correction requests in your own systems.

This documentation is operational guidance, not legal advice.

Troubleshooting

The run says an area preset is unsupported

Use one of the schema's listed presets. For another market, provide the numeric RA area in areaIds and set areas to [] if you do not also want London.

The date input fails

Use a real calendar date in YYYY-MM-DD format. Ensure endDate is not before startDate and that the range is no longer than 93 days.

The dataset is empty

Check whether RA currently lists events for that area and date range. Remove genre filters to distinguish a naturally empty source result from an overly narrow filter.

The run reports a non-JSON response

RA may be challenging or temporarily blocking the endpoint. Retry later. Repeated automatic retries or proxy rotation are intentionally avoided for deterministic cost and source safety.

Related Automation Lab actors

• Meetup Scraper for broader community event discovery.
• Eventbrite Scraper for public Eventbrite listings and organizer workflows.

These sources complement Resident Advisor; they do not provide identical coverage or identifiers.

FAQ

Does this Actor require a Resident Advisor account?

No. It uses public event data and requires no RA login, cookie, or private API token.

Does it use a browser or proxy?

No. Version 0.1 uses direct HTTPS GraphQL requests. This keeps memory and transfer use low.

Can I search any city?

The input includes nine presets. For other RA markets, use the numeric areaIds input.

Can I scrape one event URL?

Not in version 0.1. This Actor is designed for area-and-date discovery. It returns canonical URLs for every discovered event.

Are ticket prices included?

No. The output states whether RA marks an event as ticketed, but it does not promise price or inventory data.

Are the results real time?

Results reflect the public RA response at run time. They are not guaranteed to capture edits that happen after the run.

How do I avoid duplicate records across scheduled runs?

Use eventId as an upsert key in your destination. The Actor deduplicates within a run but does not persist cross-run state.

Can I request more than 5,000 events?

Split the work into smaller area or date windows. The limit keeps runs bounded and predictable.