# VividSeats Scraper — Ticket Prices & Events (No API Key) (`jamhimself/vividseats-events-scraper`) Actor

Scrape VividSeats events as clean JSON: min/max/avg/median ticket price, all-in price range, listing and ticket counts, venue with coordinates, on-sale dates, and performers. No API key.

- **URL**: https://apify.com/jamhimself/vividseats-events-scraper.md
- **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community)
- **Categories:** Travel, Agents, Developer tools
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 1,000 event with ticket prices

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/platform/actors/running/actors-in-store#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

## VividSeats Scraper — Event & Resale Ticket Price Data (No API Key)

Scrape VividSeats events and live resale ticket prices from any category, performer, or venue page. This VividSeats scraper pulls event names, dates, venues, and the full secondary ticket market — min, median, average, and max asking price, all-in (fees included) price range, plus listing and ticket counts per event. Built for developers, analysts, and AI pipelines that need structured event ticket price data with no API key, no login, bulk runs, and pay per result.

The actor uses Chrome TLS impersonation, residential US proxies, and automatic session rotation to clear anti-bot walls, so you don't manage proxies or logins.

### ⚡ Quick start

Paste this into the Actor's **Input** (JSON view) and hit **Start**:

```json
{
  "startUrls": [{ "url": "https://www.vividseats.com/concerts" }],
  "maxResults": 40
}
```

Each result row looks like:

```json
{
  "eventId": 5471203,
  "name": "Billy Joel",
  "localDate": "2026-09-18T20:00:00",
  "minPrice": 89,
  "medianPrice": 168,
  "maxPrice": 1250,
  "listingCount": 312,
  "venueName": "Madison Square Garden",
  "url": "https://www.vividseats.com/billy-joel-tickets-madison-square-garden-9-18-2026--concerts-pop/production/5471203"
}
```

Or run it from the API:

```
POST https://api.apify.com/v2/acts/jamhimself~vividseats-events-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN
```

### What you get

| Field | Description |
|---|---|
| `name` / `eventId` / `url` | Event identity |
| `localDate` / `utcDate` | Event date/time |
| `minPrice` / `maxPrice` / `avgPrice` / `medianPrice` | Live ticket price distribution |
| `minAllInPrice` / `maxAllInPrice` | All-in (fees included) price range |
| `listingCount` / `ticketCount` | Market depth / liquidity |
| `onsaleDate` / `presale1Date` / `presale2Date` | Sale timing |
| `venueName` / `venueCity` / `venueState` / `venuePostalCode` / `venueCountry` | Venue |
| `venueCapacity` / `latitude` / `longitude` | Venue detail and location |
| `performers` | Lineup |

### Use cases

- Track resale ticket prices across concerts, sports, and theater events over time
- Compare secondary ticket market pricing between performers, venues, or dates
- Research event demand and market depth using listing and ticket counts
- Build event and ticket price datasets for dashboards or analytics
- Feed structured event data into an LLM, RAG, or AI pipeline
- Monitor presale and on-sale timing for upcoming events

### Input

- **startUrls** — VividSeats category (`/concerts`, `/sports`, `/theater`), performer, venue, or region pages. Prefilled with `https://www.vividseats.com/concerts`.
- **searchQuery** — (optional) `concerts` / `sports` / `theater` shortcuts, or a search term. `startUrls` is more reliable.
- **maxResults** — how many events to return (paginates automatically, ~20 per page). Default `60`.

### Pricing

Pay per event delivered. No subscription.

*A quick review on the Apify Store really helps other builders find it.*

# Actor input Schema

## `startUrls` (type: `array`):

VividSeats category, performer, venue, or region pages, e.g. https://www.vividseats.com/concerts or a performer page. Each embeds a paginated event list with prices.

## `searchQuery` (type: `string`):

Convenience shortcut. Category words (concerts / sports / theater) route to that browse page; anything else uses VividSeats search. startUrls is more reliable.

## `maxResults` (type: `integer`):

Maximum number of events to return (paginates automatically, ~20 per page).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.vividseats.com/concerts"
    }
  ],
  "maxResults": 60
}
```

# Actor output Schema

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

One row per event.

# 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 = {
    "startUrls": [
        {
            "url": "https://www.vividseats.com/concerts"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jamhimself/vividseats-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 = { "startUrls": [{ "url": "https://www.vividseats.com/concerts" }] }

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

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

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

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.vividseats.com/concerts"
    }
  ]
}' |
apify call jamhimself/vividseats-events-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jamhimself/vividseats-events-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/CwCBgD9HRhbfEA3ZH/builds/ObE2YHzPfCgat8WEa/openapi.json