# Gametime Scraper (`lexis-solutions/gametime-scraper`) Actor Scrape Gametime event listings and ticket prices from search, performer, and event pages. Extract event details, venue data, seating, inventory, deal ratings, and live pricing in JSON, CSV, or Excel with a fast, low-cost Apify actor. - **URL**: https://apify.com/lexis-solutions/gametime-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Lead generation, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 1,000 events 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 ## Gametime.co Scraper --- ![banner](https://i.ibb.co/C3vmV1gB/Screenshot-2026-04-06-at-12-37-19-AM.png) --- The **Gametime Scraper** is an Apify Actor that extracts event listings and ticket pricing data from [Gametime](https://gametime.co). It captures event catalogs by search query or performer category, and takes snapshots of available ticket listings with price bands, seating details, and inventory counts. --- ### What does Gametime Scraper do? This scraper collects structured event and ticket data from Gametime, a platform focused on last-minute event deals. It supports three types of input URLs: - **Search URLs** to find events by keyword - **Category/Performer URLs** to list all events for a specific performer - **Event Detail URLs** to scrape ticket listings for a specific event For each event, the scraper outputs event metadata (name, date, venue, performers) along with all available ticket listings including section, row, price, deal rating, and delivery type. --- ### Why use Gametime Scraper? - **Price monitoring**: Track ticket price movements over time for sports, concerts, comedy, and theater events. - **Inventory analysis**: Monitor how many listings are available and at what price points. - **Market research**: Compare pricing across venues, performers, and event dates. - **Deal detection**: Identify events with significant price drops or "amazing" deal ratings. --- ### Who is it for? - **Ticket resellers** monitoring market prices and inventory levels. - **Event organizers** benchmarking ticket pricing against secondary markets. - **Data analysts** studying event pricing trends and demand patterns. - **Developers** building dashboards or alerts around live event pricing. --- ### How to use Gametime Scraper 1. Navigate to the Gametime Scraper on the Apify platform. 2. Enter one or more start URLs in the **Start URLs** field (search, category, or event detail URLs). 3. Set the **Max Items** to control how many events to scrape per start URL. 4. Click **Start** to run the scraper. 5. Download the results from the **Dataset** tab in JSON, CSV, or Excel format. --- ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `startUrls` | array | URLs to scrape (search, category, or detail pages) | Search for "imagine" | | `maxItems` | integer | Maximum events to scrape per start URL | 5 | | `proxyConfiguration` | object | Proxy settings | No proxy | #### Example input ```json { "startUrls": [ { "url": "https://gametime.co/search?q=fifa+2026" }, { "url": "https://gametime.co/matt-rife-tickets/performers/comedymattrife" }, { "url": "https://gametime.co/soccer/fifa-world-cup-match-91-tickets/7-5-2026-east-rutherford-nj-met-life-stadium/events/66b11cdd55323e5c578fb508" } ], "maxItems": 5 } ```` *** ### Output Each dataset item represents one event with its ticket listings. You can download the dataset in various formats such as JSON, CSV, or Excel. ```json { "url": "https://gametime.co/soccer/fifa-world-cup-match-91-tickets/7-5-2026-east-rutherford-nj-met-life-stadium/events/66b11cdd55323e5c578fb508", "eventId": "66b11cdd55323e5c578fb508", "name": "FIFA World Cup - Match 91", "category": "soccer", "dateTimeLocal": "2026-07-05T16:00:00", "dateTimeUtc": "2026-07-05T20:00:00", "venue": { "name": "MetLife Stadium", "city": "East Rutherford", "state": "NJ", "country": "US", "address": "East Rutherford, NJ 07073", "lat": 40.8142, "lon": -74.0737 }, "performers": [ { "name": "2026 FIFA World Cup", "category": "soccer", "slug": "soccerworldcup" } ], "minPriceCents": 242500, "maxPriceCents": 359700, "totalListings": 45, "listings": [ { "listingId": "69cfb6b653c05bd14589025a", "section": "249A", "row": "8", "sectionGroup": "Middle", "seats": 2, "priceCents": 242500, "prefeeCents": 208700, "deal": "amazing", "deliveryType": "mobile", "disclosures": [], "url": "https://gametime.co/.../listings/69cfb6b653c05bd14589025a" } ] } ``` *** ### Data fields | Field | Description | |-------|-------------| | `url` | Event page URL on Gametime | | `eventId` | Unique event identifier | | `name` | Event name | | `category` | Event category (sports, comedy, music, theater) | | `dateTimeLocal` | Event date/time in local timezone | | `venue` | Venue details (name, city, state, country, coordinates) | | `performers` | List of performers with name, category, and slug | | `minPriceCents` | Lowest ticket price in cents (all-in pricing) | | `maxPriceCents` | Highest ticket price in cents (all-in pricing) | | `totalListings` | Number of available ticket listings | | `listings` | Array of individual ticket listings with section, row, price, and deal rating | *** ### Cost estimation The scraper uses only HTTP requests (no browser), keeping compute costs low. A typical run scraping 5 events with their listings completes in under 1 minute and costs less than $0.01 in platform credits. *** ### Tips - Use **search URLs** for broad discovery and **category URLs** for comprehensive performer coverage. - Set `maxItems` to a small number (3-5) for quick monitoring runs. - Prices are returned in **cents** (e.g., 242500 = $2,425.00) to preserve precision. - Schedule periodic runs to track price changes over time. *** ### FAQ and support **Is it legal to scrape Gametime?** This scraper accesses publicly available data. Always review the website's Terms of Service before scraping. **Why are some prices zero?** Events without active ticket listings may show zero prices. This usually means tickets are not yet on sale. *** 👀 p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:info@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) *** ### Image Credit Image credit: [gametime.co](https://gametime.co/) # Actor input Schema ## `startUrls` (type: `array`): URLs to start scraping from. Supports search URLs (gametime.co/search?q=...), category/performer URLs (gametime.co/.../performers/...), and event detail URLs (gametime.co/.../events/...). ## `maxItems` (type: `integer`): Maximum number of events to scrape per start URL. ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper. ## Actor input object example ```json { "startUrls": [ { "url": "https://gametime.co/search?q=imagine" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://gametime.co/search?q=imagine" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/gametime-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=imagine" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/gametime-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=imagine" } ] }' | apify call lexis-solutions/gametime-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/gametime-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gametime Scraper", "description": "Scrape Gametime event listings and ticket prices from search, performer, and event pages. Extract event details, venue data, seating, inventory, deal ratings, and live pricing in JSON, CSV, or Excel with a fast, low-cost Apify actor.", "version": "1.0", "x-build-id": "g55zblhiqp2YbKaZq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~gametime-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-gametime-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~gametime-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-gametime-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~gametime-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-gametime-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start scraping from. Supports search URLs (gametime.co/search?q=...), category/performer URLs (gametime.co/.../performers/...), and event detail URLs (gametime.co/.../events/...).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of events to scrape per start URL.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```