# Gametime Events Website Scraper (`confidential_gnat/gametime-events-scraper`) Actor Scrapes event, venue, and ticket offer data from Gametime. Supports search, group/team, and single-event URLs, returning schedule, location, performer, and pricing details — including per-offer section, row, seat count, and deal rating — as structured JSON with pagination support. - **URL**: https://apify.com/confidential\_gnat/gametime-events-scraper.md - **Developed by:** [ActorFlow](https://apify.com/confidential_gnat) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/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 ## Gametime Events Website Scraper Collects event, venue, and offer records from [Gametime](https://gametime.co) start URLs. Supports search, group/team, and single-event pages, and returns structured JSON with event details, venue location, and ticket offers. ### ✨ Features - **Event, venue, and ticket offer extraction** — captures event title, schedule, venue location, performer groups, and full ticket offer listings (price, section, row, seat count, deal rating) - **Pagination support** — automatically pages through group/team listings to collect additional events - **Proxy support** — configurable proxy for making requests ### 🔧 Input Configuration | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `startUrls` | array | — | `https://gametime.co/search?q=lakers` | Search, group, or item URLs to start collection from | | `maxItems` | integer | — | `5` | Maximum number of records to collect per start URL | | `proxyConfiguration` | object | — | `{ "useApifyProxy": true }` | Proxy configuration to use for requests | **Supported URL types:** - Search URLs, e.g. `https://gametime.co/search?q=lakers` - Group/team listing URLs - Individual event URLs ### 📦 Output The actor produces 1 output view (**Overview**) showing the title, URL, date/time, lowest price, and offer count for each event. **Sample output:** ```json { "url": "https://gametime.co/college-football/pioneers-at-lakers-tickets/9-19-2026-erie-pa-saxon-stadium/events/69a7efe95f3df0fc5ef8748b", "itemId": "69a7efe95f3df0fc5ef8748b", "title": "Glenville State Pioneers at Mercyhurst Lakers Football", "category": "cfb", "scheduledAtLocal": "2026-09-19T00:00:00", "scheduledAtUtc": "2026-09-19T04:00:00", "location": { "name": "Saxon Stadium", "city": "Erie", "region": "PA", "country": "US", "streetAddress": "Erie, PA 16546", "lat": 42.105, "lon": -80.0537 }, "groups": [ { "name": "Mercyhurst Football", "category": "cfb", "slug": "cfbmercy" } ], "lowestPriceCents": null, "highestPriceCents": null, "offerCount": 0, "offers": [] } ```` ```json { "url": "https://gametime.co/college-football/lakers-at-penguins-tickets/8-27-2026-youngstown-oh-stambaugh-stadium/events/69655f9a2597e18eec23fb7c", "itemId": "69655f9a2597e18eec23fb7c", "title": "Mercyhurst Lakers at Youngstown State Penguins Football", "category": "cfb", "scheduledAtLocal": "2026-08-27T18:00:00", "scheduledAtUtc": "2026-08-27T22:00:00", "location": { "name": "Stambaugh Stadium", "city": "Youngstown", "region": "OH", "country": "US", "streetAddress": "Youngstown, OH 44555", "lat": 41.112, "lon": -80.6513 }, "groups": [ { "name": "Youngstown State Football", "category": "cfb", "slug": "cfbysu" } ], "lowestPriceCents": 6400, "highestPriceCents": 16900, "offerCount": 6, "offers": [ { "offerId": "6973edcce7fbadfb8ec1cc1e", "section": "3", "row": "68", "sectionGroup": "Sideline", "seatCount": 2, "priceCents": 16900, "prefeeCents": 14600, "deal": "great", "fulfillmentType": "mobile", "notices": [], "url": "https://gametime.co/college-football/lakers-at-penguins-tickets/8-27-2026-youngstown-oh-stambaugh-stadium/events/69655f9a2597e18eec23fb7c/listings/6973edcce7fbadfb8ec1cc1e" }, { "offerId": "6973edcee7fbadfb8ec24561", "section": "5", "row": "68", "sectionGroup": "Sideline", "seatCount": 2, "priceCents": 16900, "prefeeCents": 14600, "deal": "great", "fulfillmentType": "mobile", "notices": [], "url": "https://gametime.co/college-football/lakers-at-penguins-tickets/8-27-2026-youngstown-oh-stambaugh-stadium/events/69655f9a2597e18eec23fb7c/listings/6973edcee7fbadfb8ec24561" } ] } ``` ### 💡 Uses of This Data - Ticket price monitoring and comparison across events and venues - Tracking ticket availability and deal quality over time - Building event calendars and venue directories for sports and entertainment - Market research on pricing trends by team, category, or region - Feeding alerts or dashboards for price drops on specific events ### 🚀 How to Use 1. [Sign up](https://apify.com/sign-up) for a free Apify account — includes **$5 monthly credit**. 2. Open the actor page and click **Try for free**. 3. Fill in the **Input** fields (start URL or search query is required). 4. Click **Start** and wait for the run to complete. 5. Download results from the **Output** tab in JSON, CSV, or Excel format. You can also run this actor via the [Apify API](https://docs.apify.com/api/v2) or integrate it directly into your workflows using [Zapier](https://zapier.com/apps/apify), [Make](https://www.make.com/), or [n8n](https://n8n.io/). ### 📝 Notes - **Proxy recommended for large-scale scraping** — For high-volume runs, enable the Apify Residential or Datacenter proxy to avoid blocks. - **API integration** — This actor can be called as an API from any automation platform (Zapier, Make, n8n, custom scripts). - **Data consistency with proxies** — When using proxies with multiple IP locations, some data (e.g. prices, availability) may vary by region. ### 🔗 Other Actors - [Rightmove Listing Availability Checker](https://apify.com/confidential_gnat/rightmove-listing-availability-checker) — checks whether Rightmove property listings are still active or have been removed - [Cheapest Cars & Bids Scraper](https://apify.com/confidential_gnat/cheapest-carsandbids-scraper) — scrapes auction listings, sale prices, vehicle specs, and photos from Cars & Bids - [WHOIS Domain Lookup Scraper](https://apify.com/confidential_gnat/whois-com) — bulk WHOIS lookups returning registration dates, registrar, name servers, status codes, and contact details ### 💬 Support & Contact If you encounter any issues or have questions, please [open an issue](https://apify.com/confidential_gnat/gametime-events-scraper/issues/open). You can also find more of our actors on the [Apify Store](https://console.apify.com/store-search?search=confidential_gnat). # Actor input Schema ## `startUrls` (type: `array`): Search, group, or item URLs to start collection from. ## `maxItems` (type: `integer`): Maximum number of records to collect per start URL. ## `proxyConfiguration` (type: `object`): Proxy configuration to use for requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://gametime.co/search?q=lakers" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ { "url": "https://gametime.co/search?q=lakers" } ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("confidential_gnat/gametime-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 = { "startUrls": [{ "url": "https://gametime.co/search?q=lakers" }], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("confidential_gnat/gametime-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 '{ "startUrls": [ { "url": "https://gametime.co/search?q=lakers" } ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call confidential_gnat/gametime-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=confidential_gnat/gametime-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gametime Events Website Scraper", "description": "Scrapes event, venue, and ticket offer data from Gametime. Supports search, group/team, and single-event URLs, returning schedule, location, performer, and pricing details — including per-offer section, row, seat count, and deal rating — as structured JSON with pagination support.", "version": "1.0", "x-build-id": "0HqEVq92DgwhwwbNA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/confidential_gnat~gametime-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-confidential_gnat-gametime-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/confidential_gnat~gametime-events-scraper/runs": { "post": { "operationId": "runs-sync-confidential_gnat-gametime-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/confidential_gnat~gametime-events-scraper/run-sync": { "post": { "operationId": "run-sync-confidential_gnat-gametime-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Search, group, or item URLs to start collection from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items per source", "type": "integer", "description": "Maximum number of records to collect per start URL.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy configuration to use for requests." } } }, "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 } } } } } } } } } } ```