# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 1 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/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

## 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(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 '{
  "searchQueries": [
    "Taylor Swift"
  ]
}' |
apify call lulzasaur/gametime-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/gametime-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/nAyMvxRpHLtq2Cmnz/builds/XHc1ZlskX5nr42LP3/openapi.json
