# SongKick Concert Calendar (`scrape_scaler/metro-concert-calendar`) Actor

Discover live music and concerts by city. Scrapes public metro-area gig calendars, extracts artist, venue, date, location, and ticket links as structured JSON.

- **URL**: https://apify.com/scrape\_scaler/metro-concert-calendar.md
- **Developed by:** [Creative Scraps](https://apify.com/scrape_scaler) (community)
- **Categories:**
- **Stats:** 1 total users, 1 monthly users, 91.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / actor start

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Metro Concert Calendar

Discover **live music and concerts** in major metros. Scrapes public metro-area gig calendars and returns structured event data for apps, newsletters, and automation pipelines.

### How it works

1. Resolves a city name (e.g. `New York`) to a metro calendar slug.
2. Crawls the metro listing page with pagination.
3. Parses embedded **MusicEvent** JSON-LD blocks on each page.
4. Filters events to your date window and pushes normalized records to the dataset.

### Input

| Field | Required | Description |
|-------|----------|-------------|
| `city` | One of city/metroSlug | Metro display name |
| `metroSlug` | One of city/metroSlug | Raw slug override |
| `startDate` | No | `YYYY-MM-DD` (default: today UTC) |
| `endDate` | No | `YYYY-MM-DD` (default: +7 days UTC) |
| `maxPages` | No | Page cap (default 50, prefill 2) |
| `maxItems` | No | Stop after N events |
| `proxyConfiguration` | No | **Residential recommended** |

### Output

Each dataset item includes event name, start date, venue, performers, coordinates, image, and ticket URL.

# Actor input Schema

## `city` (type: `string`):

Metro name (e.g. 'New York', 'Chicago') OR raw metro area slug.

## `metroSlug` (type: `string`):

Optional metro area slug override (e.g. '7644-us-new-york-nyc'). Takes precedence over city lookup.

## `startDate` (type: `string`):

Start of date range in YYYY-MM-DD. Defaults to today (UTC).

## `endDate` (type: `string`):

End of date range in YYYY-MM-DD. Defaults to 7 days from today (UTC).

## `maxPages` (type: `integer`):

Maximum listing pages to scrape (capped at 50).

## `maxItems` (type: `integer`):

Stop after this many unique events. Omit for no cap.

## `proxyConfiguration` (type: `object`):

Residential proxies recommended for reliable metro calendar access.

## Actor input object example

```json
{
  "city": "New York",
  "metroSlug": "7644-us-new-york-nyc",
  "startDate": "2026-08-25",
  "endDate": "2026-08-31",
  "maxPages": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `events` (type: `string`):

No description

## `run` (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 = {
    "city": "New York",
    "maxPages": 2
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrape_scaler/metro-concert-calendar").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 = {
    "city": "New York",
    "maxPages": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("scrape_scaler/metro-concert-calendar").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 '{
  "city": "New York",
  "maxPages": 2
}' |
apify call scrape_scaler/metro-concert-calendar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrape_scaler/metro-concert-calendar"
        }
    }
}

```

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/tXpJ0kfFTUyuQbDeQ/builds/pcFdX7XfHmaFJNE1U/openapi.json