# SeatGeek Event Price Range & Listing Count Finder (`vexaloom-labs/seatgeek-event-price-range-and-listing-count`) Actor

Search SeatGeek by artist, team, or venue name, or browse 156 sports/concert/theater categories, and get each event's date, venue, price range, and ticket listing counts.

- **URL**: https://apify.com/vexaloom-labs/seatgeek-event-price-range-and-listing-count.md
- **Developed by:** [vexaloom-labs](https://apify.com/vexaloom-labs) (community)
- **Categories:** Automation, Travel, E-commerce
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## SeatGeek Event Price Range & Listing Count Finder

SeatGeek is a US ticket marketplace for sports, concerts, theater and comedy. This actor finds upcoming events by keyword, performer, team, venue or category, then returns each event's date, venue, performers, price range and live listing/ticket counts. It reads SeatGeek's public event catalog directly — no account, cookies, API key or proxy required.

### What this actor does

- **Search by intent:** `search` accepts an artist, team, venue or keyword and resolves it to SeatGeek's best-matching performer, venue or category before paging through that entity's events.
- **Browse all 156 categories:** every sports league, concert genre, Broadway/theater type and entertainment category SeatGeek organizes events into.
- **Fetch pasted URLs:** category, performer, venue, event and search URLs all work.
- **Real pagination:** pages through SeatGeek's event catalog up to 10,000 events per query instead of stopping at the first page.
- **Server-side filters and sorting:** date range, lowest-price range, city, state and sort order are pushed to SeatGeek, so `maxItems` keeps the cheapest/soonest/most popular events rather than an arbitrary slice.
- **Listing-count filter:** keep only events with at least N live listings.
- **Clean records:** empty fields are omitted, never emitted as `null` or placeholder text.

### Output per event

- `eventId`, `eventTitle`, `eventType`
- `eventDate` (`YYYY-MM-DD`), `eventDateTimeLocal`, `eventDateTimeUtc`, `eventEndDateTimeUtc`
- `dateTbd`, `timeTbd`, `datetimeTbd`, `salesEndDateTimeUtc`, `seasonStage`
- `venueId`, `venueName`, `venueSlug`, `venueAddress`, `venueExtendedAddress`, `venueDisplayLocation`
- `venueCity`, `venueState`, `venueCountry`, `venuePostalCode`, `venueCapacity`, `venueUpcomingEventCount`
- `venueLatitude`, `venueLongitude`, `venueTimezone`, `venueUrl`
- `performers[]`, `primaryPerformer`, `performerIds[]`, `primaryPerformerId`
- `category`, `categorySlug`, `taxonomyPath[]`, `taxonomyIds[]`
- `priceMin`, `priceMax`, `priceAverage`, `priceMedian`, `currency`
- `listingCount`, `visibleListingCount`, `ticketCount`
- `thumbnailUrl`
- `isOpen`, `isRescheduled`, `eventStatus`, `announceDate`
- `popularityScore` (SeatGeek's own 0–1 event popularity)
- `listingUrl`, `sourceUrl`, `searchQuery`, `searchMatch` (`performer`, `venue`, `category`, `keyword`, `event` or `page`)
- `recordType: "event"`, `scrapedAt`

Price and listing fields are omitted for events that currently have no ticket inventory — that is a real source condition, not a scrape failure.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `mode` | string | `search` | `search` / `byCategory` / `byUrl` |
| `searchQuery` | string | `New York Yankees` | Artist, team, venue or keyword (mode=search) |
| `category` | string | `nba` | One of 156 SeatGeek categories (mode=byCategory) |
| `startUrls` | array | – | Category, performer, venue, event or search URLs (mode=byUrl) |
| `dateFrom` | string | – | Only events on/after this date (`YYYY-MM-DD`) |
| `dateTo` | string | – | Only events on/before this date (`YYYY-MM-DD`) |
| `minPrice` | int | – | Lowest listed price ≥ this amount |
| `maxPrice` | int | – | Lowest listed price ≤ this amount |
| `minListingCount` | int | – | Only events with at least N live listings |
| `city` | string | – | Venue city (case-insensitive) |
| `state` | string | – | Venue state/province code, e.g. `NY` |
| `sortBy` | string | `relevance` | `relevance` / `date` / `priceLow` / `priceHigh` / `popularity` |
| `maxItems` | int | `20` | Hard cap on emitted records (1–10,000) |

#### Example: search by team name

```json
{
  "mode": "search",
  "searchQuery": "New York Knicks",
  "maxItems": 50
}
```

#### Example: cheapest NFL tickets with listings

```json
{
  "mode": "byCategory",
  "category": "nfl",
  "sortBy": "priceLow",
  "minListingCount": 10,
  "maxItems": 100
}
```

#### Example: filter concerts by date and price range

```json
{
  "mode": "byCategory",
  "category": "concerts",
  "dateFrom": "2026-12-01",
  "dateTo": "2026-12-31",
  "minPrice": 50,
  "maxPrice": 300,
  "maxItems": 200
}
```

#### Example: paste mixed SeatGeek URLs

```json
{
  "mode": "byUrl",
  "startUrls": [
    {"url": "https://seatgeek.com/venues/madison-square-garden/tickets"},
    {"url": "https://seatgeek.com/coldplay-tickets"},
    {"url": "https://seatgeek.com/nba-tickets"}
  ]
}
```

### Use cases

- **Price monitoring:** track the lowest listed price for a team, artist, venue or category over time.
- **Inventory research:** compare listing and ticket counts across an upcoming season or tour.
- **Event discovery:** build a feed of upcoming events filtered by date, city, state and budget.
- **Fan alerts:** power a "price drop" or "new date announced" notification for a favorite performer.
- **Venue analytics:** pull every upcoming event at a specific arena or theater.

### FAQ

**Do I need a SeatGeek account or API key?** No. The actor uses the public client id that SeatGeek's own website ships to every visitor. No login, cookie, API key or proxy is required. If SeatGeek ever blocks a request, the actor automatically retries through Apify's built-in datacenter proxy.

**How does `search` resolve a name?** It asks SeatGeek's autosuggest endpoint for matching performers and venues, prefers an exact name match, and otherwise picks the closest performer/venue match. If the query is a known category (for example `nba`, `comedy` or `concerts`), it browses that category. When the exact performer or venue has no upcoming events, it falls back to SeatGeek's keyword results so the run still returns listings; `searchMatch` on each record says whether it came from an exact `performer`, `venue`, `category`, or a `keyword` fallback.

**Is `dateTo` inclusive?** Yes. A date range includes every event on both the `dateFrom` and `dateTo` days in the venue's local time.

**Why do some events have no price?** SeatGeek returns price and listing statistics only while at least one ticket is listed. For sold-out, postponed or not-yet-on-sale events those fields are omitted.

**How many events can I get?** Up to 10,000 per query — SeatGeek's API returns at most 100 events per page and stops paginating at page 100. Split a larger request by date range or category to cover more.

**Does it include per-listing Deal Score?** No. Deal Score is computed per individual ticket listing, not at the event level. This actor returns event-level price and listing aggregates instead.

**Is this US-only?** Yes. It reads the US `seatgeek.com` marketplace; SeatGeek's separate country sites are not covered.

### Compatibility with saved tasks

Existing tasks keep working. Legacy input keys such as `query`, `searchQueries`, `categoryId`, `startDate`/`endDate`, `priceMin`/`priceMax`, `venueCity`/`venueState`, `maxResults`/`limit` and `sort` are mapped in code. The old `proxyConfiguration` key is accepted and ignored because the public API needs no proxy. Existing output fields were kept and new fields were added beside them.

### Limitations

- **10,000 events per query.** The upstream events API caps pagination at page 100 with 100 events per page.
- **No event-level guarantee of inventory.** Price and listing fields appear only when SeatGeek has live listings for that event.
- **Category snapshots.** Categories and their ids follow SeatGeek's public taxonomy; an entirely new league may need an actor update. Like SeatGeek's own category pages, parent leagues hide add-on taxonomies (Stadium Tours under NFL, Arizona Fall League under MLB); both remain browsable as their own categories.
- **No per-listing seat/section/row data.** This actor returns event-level pricing and inventory, not individual ticket rows.

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

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

Artist, team, venue or keyword, e.g. `Taylor Swift`, `New York Knicks`, `Madison Square Garden`, `comedy`. Uses SeatGeek's full search index, then resolves the best matching performer, venue or category.

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

A SeatGeek event category — sports league, music genre, or entertainment type.

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

Direct `seatgeek.com` URLs: category pages (`/nba-tickets`), performer pages (`/coldplay-tickets`), venue pages (`/venues/madison-square-garden/tickets`), event pages (any URL ending in the numeric event id), or search URLs (`/search?search=...`).

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

Only include events on or after this date (`YYYY-MM-DD`). Applies to every mode.

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

Only include events on or before this date (`YYYY-MM-DD`). Applies to every mode.

## `minPrice` (type: `integer`):

Only include events whose lowest listed ticket price is at least this amount.

## `maxPrice` (type: `integer`):

Only include events whose lowest listed ticket price is at most this amount.

## `minListingCount` (type: `integer`):

Only include events with at least this many live ticket listings. Leave empty to include events with no current listings.

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

Only include events at a venue in this city, e.g. `Chicago`. Case-insensitive match.

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

Only include events at a venue in this US state/province code, e.g. `IL`, `NY`, `CA`.

## `sortBy` (type: `string`):

How to order the emitted results. Sorting happens on SeatGeek's side, so it is applied before the `maxItems` cut.

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

Hard cap on emitted event records. SeatGeek exposes up to 10,000 events per query.

## Actor input object example

```json
{
  "mode": "search",
  "searchQuery": "New York Yankees",
  "category": "nba",
  "startUrls": [
    {
      "url": "https://seatgeek.com/nfl-tickets"
    }
  ],
  "sortBy": "relevance",
  "maxItems": 3
}
```

# Actor output Schema

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

Dataset containing all scraped SeatGeek event listings.

# 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 = {
    "mode": "search",
    "searchQuery": "New York Yankees",
    "category": "nba",
    "startUrls": [
        {
            "url": "https://seatgeek.com/nfl-tickets"
        }
    ],
    "sortBy": "relevance",
    "maxItems": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").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 = {
    "mode": "search",
    "searchQuery": "New York Yankees",
    "category": "nba",
    "startUrls": [{ "url": "https://seatgeek.com/nfl-tickets" }],
    "sortBy": "relevance",
    "maxItems": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").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 '{
  "mode": "search",
  "searchQuery": "New York Yankees",
  "category": "nba",
  "startUrls": [
    {
      "url": "https://seatgeek.com/nfl-tickets"
    }
  ],
  "sortBy": "relevance",
  "maxItems": 3
}' |
apify call vexaloom-labs/seatgeek-event-price-range-and-listing-count --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vexaloom-labs/seatgeek-event-price-range-and-listing-count"
        }
    }
}
```

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/vms6TI4KLQsfur8TA/builds/UspGbbLFCcAq6e7uo/openapi.json