# Facebook Music Events in New York - Dates, Venues & Tickets

**Use case:** 

Discover upcoming concerts and live music events in New York over the next 30 days from public Facebook event search, for event listings, nightlife guides, promoter research and venue analysis. Each row is one event with its name, date and time, address and coordinates, going and interested counts, ticket link and price, organizer, categories, description and event link.

## Input

```json
{
  "urls": [
    "https://www.facebook.com/events/search/?q=Sport%20New%20York"
  ],
  "searchQueries": [
    "Music New York",
    "Concerts New York"
  ],
  "maxEvents": 20,
  "dateRange": "30d",
  "category": "",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "dateTimeSentence": {
    "label": "Date and time",
    "format": "string"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "usersGoing": {
    "label": "Going",
    "format": "number"
  },
  "usersInterested": {
    "label": "Interested",
    "format": "number"
  },
  "organizedBy": {
    "label": "Organized by",
    "format": "string"
  },
  "isOnline": {
    "label": "Is online",
    "format": "boolean"
  },
  "url": {
    "label": "Event link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Facebook Event Scraper Actor is ready to run with the inputs already set for "Facebook Music Events in New York - Dates, Venues & Tickets". [Sign up or log in](https://console.apify.com/create-task-from-example/6TnpxpGrwydc1qOmf) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Facebook Music Events in New York - Dates, Venues & Tickets" task

The Facebook Event Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 event links, 🔍 search queries, and more, to match your specific use case.

### 3. Receive the "Facebook Music Events in New York - Dates, Venues & Tickets" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, name, date and time, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Facebook Music Events in New York - Dates, Venues & Tickets" task via API](https://apify.com/data_minds/facebook-event-scraper.md).

## About this Actor

This example demonstrates how to use [Facebook Event Scraper](https://apify.com/data_minds/facebook-event-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_minds/facebook-event-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data_minds/facebook-event-scraper.md

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`).