# SeatGeek Event & Ticket Price Scraper (`axlymxp/seatgeek-event-scraper`) Actor

Scrape SeatGeek events — concerts, sports, theater, comedy — with ticket-price analytics. Search by keyword, performer, venue, city or date; get schedule, venue geo, lineup, and lowest/median/average/highest price plus listing and ticket counts. No API key needed. Pay only for results.

- **URL**: https://apify.com/axlymxp/seatgeek-event-scraper.md
- **Developed by:** [axly](https://apify.com/axlymxp) (community)
- **Categories:** E-commerce, Travel, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 dataset items

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

## SeatGeek Event & Ticket Price Scraper

Extract **live SeatGeek events with ticket-price analytics** at scale — concerts,
sports, theater, comedy, family shows and festivals across the US and Canada.
Search by keyword, performer, venue, city, state or date window and get one clean
JSON row per event: schedule, venue geo-coordinates, full lineup, taxonomy, and
the aggregate **ticket-price and inventory stats** that resellers and analysts
actually track — lowest, median, average and highest price plus listing and ticket
counts.

**No SeatGeek API key required.** No developer signup, no crippled free tier — just
run it.

### Who it's for

- **Ticket resellers & brokers** — monitor the lowest/median/average price and live
  listing & ticket inventory for every event to spot arbitrage and reprice.
- **Price & market analysts** — track ticket pricing and demand across sports,
  concerts and theater by city, category or date.
- **Event aggregators & discovery apps** — a reliable, key-free feed of events with
  venue geo and lineup to power listings and calendars.
- **Developers & data teams** — stable, documented JSON that plugs straight into
  Sheets, a database, a BI tool, or an AI agent.

### What you get — output fields

| Field | Type | Description |
| ----- | ---- | ----------- |
| `event_id` | integer | SeatGeek event id |
| `title` / `short_title` | string | Event name |
| `url` | string | Public SeatGeek event page |
| `category` / `type` / `status` | string | e.g. `sports` / `nba` / `normal` |
| `datetime_local` / `datetime_utc` | string | Event schedule (local + UTC) |
| `date_tbd` / `time_tbd` | boolean | Whether date/time is TBD |
| `announce_date` / `visible_until_utc` | string | Announcement + visibility window |
| `popularity` / `score` | number | SeatGeek popularity & ranking |
| **`lowest_price`** | number | Lowest listed ticket price (all-in) |
| **`median_price`** | number | Median listed ticket price |
| **`average_price`** | number | Average listed ticket price |
| **`highest_price`** | number | Highest listed ticket price |
| `lowest_price_good_deals` | number | Lowest price among flagged good deals |
| `lowest_sg_base_price` | number | Lowest SeatGeek base price (before fees) |
| **`listing_count`** | integer | Active ticket listings |
| **`ticket_count`** | integer | Total tickets available |
| `visible_listing_count` | integer | Visible listings |
| `currency` | string | Price currency (USD / CAD) |
| `venue_id` / `venue_name` | — | Venue identity |
| `venue_address` / `venue_extended_address` | string | Street + city/state line |
| `venue_city` / `venue_state` / `venue_country` / `venue_postal_code` | string | Location |
| `venue_latitude` / `venue_longitude` | number | Venue GPS |
| `venue_timezone` / `venue_capacity` / `venue_url` | — | Venue metadata |
| `primary_performer` | string | Headliner / home team |
| `performer_slugs` | array | Slugs of every performer |
| `performers` | array | Full lineup (id, name, slug, type, url, primary, home\_team, image) |
| `taxonomies` | array | Classification nodes (id, name, parent\_id) |
| `scraped_at` | string | Scrape timestamp (ISO-8601) |

### High-value use cases

1. **Ticket resale arbitrage** — pull every NBA/NFL/concert event in a market with
   `lowest_price`, `average_price` and `listing_count`, then flag events where
   inventory is thin and prices are climbing.
2. **Price-trend monitoring** — schedule daily runs for a performer or venue and
   diff `lowest_price` / `median_price` over time to chart demand.
3. **Event discovery feed** — scrape all events in a city and date window to power a
   "what's on" app, newsletter or calendar with venue geo and lineup.
4. **Venue & tour analytics** — aggregate by `venue_id` or `performer_slugs` to study
   routing, capacity utilization and pricing by market.
5. **Lead lists for hospitality/marketing** — events by city/date with venue
   coordinates to target nearby businesses and campaigns.

### Input parameters

| Field | Type | Default | Description |
| ----- | ---- | ------- | ----------- |
| `searchQuery` | string | — | Free-text across events, performers and venues |
| `category` | enum | — | `sports`, `concert`, `theater`, `comedy`, `family`, `music_festival`, `broadway` |
| `performerSlug` | string | — | Performer slug, e.g. `taylor-swift`, `new-york-knicks` |
| `city` / `state` / `country` | string | — | Venue location filters (e.g. `New York`, `NY`, `US`) |
| `venueId` | integer | — | Specific SeatGeek venue id (e.g. `93` = Madison Square Garden) |
| `dateFrom` / `dateTo` | string | — | Date window `YYYY-MM-DD` |
| `sort` | enum | `datetime_local.asc` | Soonest/latest date, popularity, or recently announced |
| `maxItems` | integer | 200 | Stop after this many events |
| `proxyConfiguration` | proxy | Apify Residential | Recommended for reliability |

All filters are optional and combine with AND. Leave everything empty to browse the
full upcoming catalog up to `maxItems`.

### Example input

```json
{
  "category": "sports",
  "city": "New York",
  "dateFrom": "2026-09-01",
  "dateTo": "2026-12-31",
  "sort": "datetime_local.asc",
  "maxItems": 500
}
```

### Example output (one row)

```json
{
  "event_id": 18499772,
  "title": "Preseason: New York Knicks at Philadelphia 76ers",
  "url": "https://seatgeek.com/philadelphia-76ers-tickets/.../18499772",
  "category": "sports",
  "type": "nba",
  "datetime_local": "2026-10-05T19:00:00",
  "datetime_utc": "2026-10-05T23:00:00",
  "currency": "USD",
  "lowest_price": 82,
  "median_price": 237,
  "average_price": 325,
  "highest_price": 2917,
  "lowest_sg_base_price": 65,
  "listing_count": 477,
  "ticket_count": 1554,
  "venue_id": 3148,
  "venue_name": "Xfinity Mobile Arena",
  "venue_city": "Philadelphia",
  "venue_state": "PA",
  "venue_country": "US",
  "venue_latitude": 39.9012,
  "venue_longitude": -75.172,
  "primary_performer": "Philadelphia 76ers",
  "performer_slugs": ["new-york-knicks", "philadelphia-76ers"],
  "taxonomies": [{ "id": 1030100, "name": "nba", "parent_id": 1030000 }],
  "scraped_at": "2026-08-19T12:00:00Z"
}
```

### Scheduling & integrations

- **Schedule** daily/hourly runs from the Apify Console to build price-history time
  series for a performer, venue or market.
- **Webhooks** fire on run completion — push new data to your API, Make or Zapier.
- **Export** to JSON, CSV, Excel or feed it to Google Sheets, Airtable, S3 or a
  database via the Apify API and dataset endpoints.

### Use with AI assistants (MCP)

The Apify MCP server exposes this actor to AI agents (Claude, ChatGPT, VS Code
Copilot). An agent can call it to answer questions like *"cheapest Knicks home game
next month"* or *"average ticket price for concerts in Austin this weekend"* and get
structured event + price data back.

### FAQ

**Do I need a SeatGeek API key?** No. The actor works out of the box — no signup, no
key, no crippled free tier.

**Which events are covered?** SeatGeek's US and Canada catalog: sports, concerts,
theater, comedy, family shows and festivals.

**Where do the prices come from?** Each event carries SeatGeek's aggregate ticket
stats — lowest, median, average and highest listed price, plus listing and ticket
counts. They reflect current secondary-market listings.

**How fresh is the data?** It's fetched live on every run. Schedule runs to track how
prices and inventory move over time.

**How many events can I get?** Set `maxItems` as high as you need; the actor paginates
automatically and checkpoints so long runs resume without duplicates.

**Is it reliable?** SeatGeek is protected by DataDome. The actor sends the mobile
app's exact fingerprint over a residential proxy pool with pacing and automatic
retry/rotation, so runs stay green.

**Is scraping this legal?** The actor reads publicly available event and pricing
data. You are responsible for complying with SeatGeek's terms and applicable laws;
use the data responsibly.

**Something looks off — how do I get help?** Open an issue on the actor's page. Errors
are monitored and typically addressed quickly.

# Actor input Schema

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

Free-text search across events, performers and venues (e.g. "Taylor Swift", "Lakers", "Hamilton"). Leave empty to browse by the filters below.

## `category` (type: `string`):

Restrict to a top-level SeatGeek category.

## `performerSlug` (type: `string`):

Filter by a SeatGeek performer slug, e.g. "new-york-knicks" or "taylor-swift" (the last path segment of a performer's SeatGeek URL).

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

Only events at venues in this city, e.g. "New York", "Los Angeles".

## `state` (type: `string`):

Two-letter US state or CA province code, e.g. "NY", "CA".

## `country` (type: `string`):

Two-letter country code (SeatGeek covers the US and Canada), e.g. "US", "CA".

## `venueId` (type: `integer`):

Only events at this specific SeatGeek venue id (e.g. 93 = Madison Square Garden).

## `dateFrom` (type: `string`):

Only events on or after this date (YYYY-MM-DD).

## `dateTo` (type: `string`):

Only events on or before this date (YYYY-MM-DD).

## `sort` (type: `string`):

How to order the results.

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

Stop after collecting this many events.

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

Proxy settings. Residential proxies are recommended — SeatGeek is protected by DataDome, which can throttle datacenter IPs under load.

## Actor input object example

```json
{
  "searchQuery": "Knicks",
  "sort": "datetime_local.asc",
  "maxItems": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "searchQuery": "Knicks"
};

// Run the Actor and wait for it to finish
const run = await client.actor("axlymxp/seatgeek-event-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 = { "searchQuery": "Knicks" }

# Run the Actor and wait for it to finish
run = client.actor("axlymxp/seatgeek-event-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 '{
  "searchQuery": "Knicks"
}' |
apify call axlymxp/seatgeek-event-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axlymxp/seatgeek-event-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/FTZ1azOlWZtDPfOih/builds/XrKWpPq01p3AiHIhE/openapi.json