# Gametime Scraper - Event Tickets & Prices (`lulzasaur/gametime-scraper`) Actor

Scrape Gametime event listings by keyword or location. Extract event names, venues, city, dates, min/get-in ticket prices, category, and event URLs. Great for ticket price monitoring, resale arbitrage, and event market research.

- **URL**: https://apify.com/lulzasaur/gametime-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

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

## Gametime Scraper - Event Tickets & Prices

Scrape event ticket listings from [Gametime](https://gametime.co) — concerts, sports (NBA, NFL, MLB, NHL, NCAA), comedy, and theater — with live "get-in" (cheapest) prices.

### What it extracts

For every event:

- **name** — event / matchup name
- **category** — music, nba, nfl, mlb, nhl, comedy, theater, etc.
- **performer** — primary performer / team
- **venueName**, **city**, **state** — where it happens
- **minPrice** — cheapest all-in "get-in" ticket price (USD)
- **minPricePreFee** — cheapest price before Gametime fees (USD)
- **datetimeLocal** / **datetimeUtc** — event start
- **url** — direct event page link
- **latitude** / **longitude** — venue coordinates

### Input

| Field | Description |
|-------|-------------|
| `searchQueries` | List of search terms (artist, team, show). Leave empty to browse all events. |
| `latitude` / `longitude` | Browse events near a location (only when no search queries). |
| `maxEvents` | Cap on total events collected (0 = unlimited). |
| `proxyConfiguration` | Optional. Works without a proxy. |

#### Example

```json
{
  "searchQueries": ["Taylor Swift", "Lakers"],
  "maxEvents": 100
}
```

### Use cases

- Ticket price monitoring & drop alerts
- Resale arbitrage (compare get-in prices across marketplaces)
- Event discovery & market research
- Feeding pricing dashboards and bots

### Output

Results are stored in the dataset — export to JSON, CSV, or Excel, or pull via the Apify API.

# Actor input Schema

## `searchQueries` (type: `array`):

List of search terms (e.g., 'Taylor Swift', 'Lakers', 'Hamilton'). Each query returns matching events with ticket prices. Leave empty to browse all events (optionally near a lat/lng).

## `latitude` (type: `number`):

Latitude to browse events near (e.g., 40.7128 for New York). Only used when Search Queries is empty.

## `longitude` (type: `number`):

Longitude to browse events near (e.g., -74.0060 for New York). Only used when Search Queries is empty.

## `maxEvents` (type: `integer`):

Maximum number of events to collect (split across queries). Set to 0 for unlimited.

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

Proxy settings. The Gametime API works without a proxy; leave disabled unless you hit rate limits.

## Actor input object example

```json
{
  "searchQueries": [
    "Taylor Swift"
  ],
  "maxEvents": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "searchQueries": [
        "Taylor Swift"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/gametime-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 = { "searchQueries": ["Taylor Swift"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/gametime-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 '{
  "searchQueries": [
    "Taylor Swift"
  ]
}' |
apify call lulzasaur/gametime-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/nAyMvxRpHLtq2Cmnz/builds/GQs6SqJ4dmKbCAdBz/openapi.json