SeatGeek Event Price Range & Listing Count Finder
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.
Open in Apify Store$0.99 / 1K on Free
Short answer
SeatGeek Event Price Range & Listing Count Finder is an Apify Store Actor that returns 8 published output fields, including eventTitle, eventDate, venueName, venueCity. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 13 input settings; one is required (mode). Last updated Nov 13, 2026.
From the public Store listing and published build schema, synced 2026-11-13.What it returns
8 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
eventTitleeventDatevenueNamevenueCitypriceMinpriceMaxlistingCountlistingUrl
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | search | What to scrape. |
| searchQuery | string | No | New York Yankees | 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 | string | No | nba | A SeatGeek event category — sports league, music genre, or entertainment type. |
| startUrls | array | No | – | 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 | string | No | – | Only include events on or after this date (`YYYY-MM-DD`). Applies to every mode. |
| dateTo | string | No | – | Only include events on or before this date (`YYYY-MM-DD`). Applies to every mode. |
| minPrice | integer | No | – | Only include events whose lowest listed ticket price is at least this amount. |
| maxPrice | integer | No | – | Only include events whose lowest listed ticket price is at most this amount. |
| minListingCount | integer | No | – | Only include events with at least this many live ticket listings. Leave empty to include events with no current listings. |
| city | string | No | – | Only include events at a venue in this city, e.g. `Chicago`. Case-insensitive match. |
Show the other 3 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| state | string | No | – | Only include events at a venue in this US state/province code, e.g. `IL`, `NY`, `CA`. |
| sortBy | string | No | relevance | How to order the emitted results. Sorting happens on SeatGeek's side, so it is applied before the `maxItems` cut. |
| maxItems | integer | No | 20 | Hard cap on emitted event records. SeatGeek exposes up to 10,000 events per query. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "search",
"searchQuery": "New York Yankees",
"category": "nba",
"startUrls": [
{
"url": "https://seatgeek.com/nfl-tickets"
}
],
"sortBy": "relevance",
"maxItems": 3
} Inputs for real jobs and stated limits
From the README of the Actor's latest build, read 2026-11-13.
Search by team name
{
"mode": "search",
"searchQuery": "New York Knicks",
"maxItems": 50
} Cheapest NFL tickets with listings
{
"mode": "byCategory",
"category": "nfl",
"sortBy": "priceLow",
"minListingCount": 10,
"maxItems": 100
} Filter concerts by date and price range
{
"mode": "byCategory",
"category": "concerts",
"dateFrom": "2026-12-01",
"dateTo": "2026-12-31",
"minPrice": 50,
"maxPrice": 300,
"maxItems": 200
} Paste mixed SeatGeek URLs
{
"mode": "byUrl",
"startUrls": [
{
"url": "https://seatgeek.com/venues/madison-square-garden/tickets"
},
{
"url": "https://seatgeek.com/coldplay-tickets"
},
{
"url": "https://seatgeek.com/nba-tickets"
}
]
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "search",
"searchQuery": "New York Yankees",
"category": "nba",
"startUrls": [
{
"url": "https://seatgeek.com/nfl-tickets"
}
],
"sortBy": "relevance",
"maxItems": 3
}
run = client.actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "search",
"searchQuery": "New York Yankees",
"category": "nba",
"startUrls": [
{
"url": "https://seatgeek.com/nfl-tickets"
}
],
"sortBy": "relevance",
"maxItems": 3
};
const run = await client.actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~seatgeek-event-price-range-and-listing-count/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"search","searchQuery":"New York Yankees","category":"nba","startUrls":[{"url":"https://seatgeek.com/nfl-tickets"}],"sortBy":"relevance","maxItems":3}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=vexaloom-labs/seatgeek-event-price-range-and-listing-count",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
What people use it for
- compare event ticket prices
- check ticket availability
- find events by venue
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Questions people ask
How much does SeatGeek Event Price Range & Listing Count Finder cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does SeatGeek Event Price Range & Listing Count Finder return?
Its published output schema lists 8 fields: eventTitle, eventDate, venueName, venueCity, priceMin, priceMax, listingCount, listingUrl. A listed field is not guaranteed to be filled in every row.
What input does SeatGeek Event Price Range & Listing Count Finder need?
Required: mode. Optional settings include searchQuery, category, startUrls, dateFrom, dateTo, minPrice.
How do I run SeatGeek Event Price Range & Listing Count Finder from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("vexaloom-labs/seatgeek-event-price-range-and-listing-count").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/vexaloom-labs~seatgeek-event-price-range-and-listing-count/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- SeatGeek Event Price Range & Listing Count Finder on Apify Store
- Published build with input and output schema (JSON)
Cite this page
Scraper Finder. "SeatGeek Event Price Range & Listing Count Finder." https://scraperfinder.com/catalogue/seatgeek-event-price-range-and-listing-count/ (data checked 2026-11-13).
Run SeatGeek Event Price Range & Listing Count Finder
$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.