# Events Scraper - Eventbrite + Meetup by Keyword and City (`datafetch_labs/events-scraper`) Actor

Find events on Eventbrite and Meetup in one run: search by keyword and city (or online), filter by date. Returns title, date, venue, address, coordinates, organizer, RSVPs, description, image and ticket link in one format. Monitor mode for new events.

- **URL**: https://apify.com/datafetch\_labs/events-scraper.md
- **Developed by:** [DataFetch Labs](https://apify.com/datafetch_labs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 event scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Events Scraper: Eventbrite + Meetup by Keyword and City

**Find upcoming events on Eventbrite and Meetup in one run.** Search by keyword and city (or online) and filter by date. Every event comes back in the same clean format: title, start and end time, venue, full address, coordinates, organizer, RSVP count, description, image and ticket link.

- ✅ **Two platforms, one schema**: Eventbrite and Meetup side by side.
- ✅ **Any city worldwide**: "San Francisco, CA", "London, UK", "Berlin, Germany", or "online".
- ✅ **Date filters**: today, tomorrow, this week, this weekend, next week, this month.
- ✅ **Location data**: venue name, address, city, region, country, latitude/longitude.
- ✅ **Engagement**: Meetup RSVP counts and group names.
- ✅ **Monitor mode**: get only newly listed events on each scheduled run.
- 💲 **$2 per 1,000 events.**

### Use cases

- **Event discovery apps and newsletters**: "What's on this weekend" feeds for any city or topic.
- **Sales and partnerships**: find conferences, meetups and organizers in your industry to sponsor, speak at or attend.
- **Community and developer relations**: track every AI, crypto or startup meetup in your target cities.
- **Market research**: event volume and themes by city over time.

### Input example

```json
{
    "keywords": ["ai", "startup"],
    "locations": ["San Francisco, CA", "London, UK", "online"],
    "sources": ["eventbrite", "meetup"],
    "dateRange": "this-week",
    "maxEventsPerSearch": 100
}
```

The Actor runs one search per keyword × location × platform and de-duplicates the results.

### Output example

```json
{
    "source": "eventbrite",
    "eventId": "2000526458490",
    "title": "Travel with AI",
    "url": "https://www.eventbrite.com/e/travel-with-ai-tickets-2000526458490",
    "startDate": "2026-10-09T14:00",
    "endDate": "2026-10-09T15:00",
    "timezone": "America/Los_Angeles",
    "isOnline": false,
    "venueName": "Mechanics' Institute",
    "address": "57 Post Street, San Francisco, CA 94104",
    "city": "San Francisco",
    "region": "CA",
    "country": "US",
    "latitude": 37.7888045,
    "longitude": -122.4030162,
    "organizer": null,
    "attendees": null,
    "description": "Travel with AI is a hands-on introduction to using AI as a practical travel companion.",
    "imageUrl": "https://img.evbuc.com/...",
    "tags": ["Other"],
    "ticketsUrl": "https://www.eventbrite.com/checkout-external?eid=2000526458490",
    "searchKeyword": "ai",
    "searchLocation": "San Francisco, CA"
}
```

Meetup events also include `organizer` (group name), `attendees` (RSVPs) and `isFree`.

### Pricing

**$0.002 per event ($2 per 1,000).** Duplicates across searches are removed before billing.

### Notes

- Eventbrite start/end times are local to the event (see `timezone`). Meetup times include the UTC offset.
- Meetup returns up to about 50 events per search. Use more specific keywords or several searches to cover more.

# Actor input Schema

## `keywords` (type: `array`):

What to search for, e.g. "ai", "networking", "yoga", "startup". Leave empty for all events.

## `locations` (type: `array`):

Cities as "City, ST" for the US ("San Francisco, CA", "New York, NY") or "City, Country" elsewhere ("London, UK", "Berlin, Germany", "Toronto, Canada"). Use "online" for virtual events.

## `sources` (type: `array`):

Where to search.

## `dateRange` (type: `string`):

Only events in this period.

## `maxEventsPerSearch` (type: `integer`):

Per keyword x location x platform. Meetup returns up to ~50 per search; Eventbrite up to ~1,000. 0 = max.

## `onlyNewEvents` (type: `boolean`):

Return only events not returned in earlier runs. Schedule it weekly for a feed of newly listed events.

## `monitorStateName` (type: `string`):

Use a different name for each separate monitor.

## Actor input object example

```json
{
  "keywords": [
    "ai"
  ],
  "locations": [
    "San Francisco, CA",
    "London, UK"
  ],
  "sources": [
    "eventbrite",
    "meetup"
  ],
  "dateRange": "",
  "maxEventsPerSearch": 20,
  "onlyNewEvents": false,
  "monitorStateName": "events-monitor"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "ai"
    ],
    "locations": [
        "San Francisco, CA",
        "London, UK"
    ],
    "maxEventsPerSearch": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("datafetch_labs/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["ai"],
    "locations": [
        "San Francisco, CA",
        "London, UK",
    ],
    "maxEventsPerSearch": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("datafetch_labs/events-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "ai"
  ],
  "locations": [
    "San Francisco, CA",
    "London, UK"
  ],
  "maxEventsPerSearch": 20
}' |
apify call datafetch_labs/events-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datafetch_labs/events-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZSm8FujUaf8BXHsJm/builds/Eq0bBVbOET9326H9R/openapi.json