# SeatGeek Event Tickets & Prices Scraper (`scrapers_lat/seatgeek-events-scraper`) Actor
Scrape public SeatGeek events by search term or event URL. Export event title, date, venue, city, performers and live ticket price stats (lowest, average, highest, listing count) to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/seatgeek-events-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Travel, E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
[](https://console.apify.com/actors/seatgeek-events-scraper/input)
## SeatGeek Event Tickets & Prices Scraper
> Extract public SeatGeek events by search term or event URL, with venue, date, performers and live ticket price stats: lowest, average, highest and total listings
25+ fields per record
Live prices lowest / avg / high
JSON / CSV / Excel output formats
Updated 2026-07-06
### What you get
Each record is one public SeatGeek event with its venue, schedule, performers and live resale ticket price statistics, ready to build price trackers, resale arbitrage models, event calendars or demand dashboards. Search by any term (a tournament, artist, team or venue) or point the scraper at specific event URLs.
- **title**: full event title
- **shortTitle**: shorter event title
- **type**: event type or category (for example international_soccer, concert, nba)
- **datetimeLocal**: event start date and time in the venue local time
- **datetimeUtc**: event start date and time in UTC
- **dateTbd**: whether the exact date is still to be determined
- **venueName**: name of the venue
- **address**: venue street address
- **city**: venue city
- **state**: venue state code
- **postalCode**: venue postal code
- **country**: venue country
- **displayLocation**: human readable venue location (city, state)
- **latitude**: venue latitude
- **longitude**: venue longitude
- **performers**: full list of performing acts, teams or artists
- **primaryPerformer**: the headline performer or home team
- **lowestPrice**: lowest available ticket price in US dollars
- **averagePrice**: average ticket price in US dollars
- **medianPrice**: median ticket price in US dollars
- **highestPrice**: highest ticket price in US dollars
- **lowestBasePrice**: lowest base price before fees in US dollars
- **listingCount**: number of active ticket listings
- **ticketCount**: total tickets available across listings
- **imageUrl**: main performer or event image
- **popularity**: relative popularity score for the event
- **id**: SeatGeek event id
- **url**: SeatGeek event page link
- **observedAt**: when this event was last seen by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Track World Cup 2026 match ticket prices over time | Fans, travel planners, media, analysts |
| Model resale arbitrage across events and venues | Resellers, brokers, trading desks |
| Discover upcoming concerts, sports and shows | Media sites, apps, aggregators |
| Monitor demand with live listing and price stats | Promoters, teams, pricing teams |
| Build an event and venue database by city | Hospitality, travel and tourism businesses |
### Frequently Asked Questions
**Does this scraper include ticket prices?**
Yes. Every event record carries live resale price statistics: the lowest, average, median and highest listed prices in US dollars, plus the number of active listings and total tickets available. This is the core of what the scraper returns.
**How do I scrape World Cup 2026 tickets?**
Leave the default search term as World Cup, or set it to a specific matchup or stage. You will get every listed match with its venue, kickoff time, teams and current price range. You can also paste specific event URLs to track them directly.
**Can I search by any performer, team or event?**
Yes. Set the search term to an artist, band, team, tournament or venue (for example Taylor Swift, Lakers, Coldplay) and the scraper returns the matching upcoming events with their live prices.
**Can I filter by city or date?**
Yes. Add a city to keep only events at venues in that city, and set an optional Date From and Date To range to keep only events starting inside that window.
**How many events can I collect in one run?**
Set the Max Items value to control the volume. A popular search or tournament can return dozens of dated events per run, each with full price stats.
**Are the prices live?**
Prices reflect the active resale listings at the moment of the run. Run the scraper on a schedule to build a price history and spot demand trends over time.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Ticketmaster Events, Venues & Prices Scraper](https://apify.com/scrapers_lat/ticketmaster-scraper): events, venues and on-sale windows from Ticketmaster
- [Eventbrite Events, Venue & Price Scraper](https://apify.com/scrapers_lat/eventbrite-scraper): events, venues and ticket prices from Eventbrite search
- [MLB Player Stats, Scores & Standings Scraper](https://apify.com/scrapers_lat/mlb-stats-scraper): Major League Baseball schedules, scores and player stats
- [YouTube Video & Channel Data Scraper](https://apify.com/scrapers_lat/youtube-scraper): artist videos, channels and view counts
- [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): artist and venue profiles and posts
- [Google News Articles & Headlines Scraper](https://apify.com/scrapers_lat/google-news-scraper): concert, tour and event news coverage
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with SeatGeek. It only accesses data that is publicly available on the platform. Use it in accordance with SeatGeek's terms of service.
# Actor input Schema
## `query` (type: `string`):
What to search for on SeatGeek: an event, performer, team or tournament (for example World Cup, Taylor Swift, Lakers, Coldplay). Leave the event URLs empty to use this.
## `eventUrls` (type: `array`):
Optional list of specific SeatGeek event page URLs to scrape directly (for example https://seatgeek.com/fifa-world-cup-tickets/...). When provided, the search term is ignored.
## `city` (type: `string`):
Keep only events whose venue is in this city (for example New York, Arlington, Los Angeles). Optional filter.
## `dateFrom` (type: `string`):
Only keep events starting on or after this date (YYYY-MM-DD). Optional.
## `dateTo` (type: `string`):
Only keep events starting on or before this date (YYYY-MM-DD). Optional.
## `maxItems` (type: `integer`):
Maximum number of events to collect. Optional.
## `proxyConfiguration` (type: `object`):
A residential proxy is used by default for reliable access. No setup required.
## Actor input object example
```json
{
"query": "World Cup",
"maxItems": 20,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "World Cup",
"maxItems": 20,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/seatgeek-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": "World Cup",
"maxItems": 20,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US",
},
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/seatgeek-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 '{
"query": "World Cup",
"maxItems": 20,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}' |
apify call scrapers_lat/seatgeek-events-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/seatgeek-events-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "SeatGeek Event Tickets & Prices Scraper",
"description": "Scrape public SeatGeek events by search term or event URL. Export event title, date, venue, city, performers and live ticket price stats (lowest, average, highest, listing count) to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "grgv8EiTHprzjhc1E"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~seatgeek-events-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-seatgeek-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~seatgeek-events-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-seatgeek-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~seatgeek-events-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-seatgeek-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"query": {
"title": "Search term",
"type": "string",
"description": "What to search for on SeatGeek: an event, performer, team or tournament (for example World Cup, Taylor Swift, Lakers, Coldplay). Leave the event URLs empty to use this.",
"default": "World Cup"
},
"eventUrls": {
"title": "Event URLs",
"type": "array",
"description": "Optional list of specific SeatGeek event page URLs to scrape directly (for example https://seatgeek.com/fifa-world-cup-tickets/...). When provided, the search term is ignored.",
"items": {
"type": "string"
}
},
"city": {
"title": "City",
"type": "string",
"description": "Keep only events whose venue is in this city (for example New York, Arlington, Los Angeles). Optional filter."
},
"dateFrom": {
"title": "Date From",
"type": "string",
"description": "Only keep events starting on or after this date (YYYY-MM-DD). Optional."
},
"dateTo": {
"title": "Date To",
"type": "string",
"description": "Only keep events starting on or before this date (YYYY-MM-DD). Optional."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of events to collect. Optional."
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "A residential proxy is used by default for reliable access. No setup required.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```