# TicketCity Scraper (`lexis-solutions/ticketcity-scraper`) Actor TicketCity.com ticket scraper for concerts, sports and theatre, extracting event names, dates, categories, venues, locations and URLs for event discovery, ticket analytics and ticket marketplace data aggregation. - **URL**: https://apify.com/lexis-solutions/ticketcity-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** AI, E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.0019 / event 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 ## 🎟️ TicketCity Scraper ![TicketCity Scraper](https://i.postimg.cc/k4f2r3j2/Screenshot-2026-03-21-at-12-10-07-AM.png) ### ❓ What is TicketCity Scraper? The TicketCity Scraper is a web scraping tool that collects publicly available event and ticket data from TicketCity. It automatically retrieves structured information about events, including event names, dates, categories, venues, and event URLs. This makes it easy to build datasets for event discovery, ticket analysis, or integration into other systems. ### 🌍 Why scrape TicketCity? TicketCity provides a large marketplace of live events including concerts, sports, theatre, and more. Scraping TicketCity allows you to: - Discover events across multiple categories and locations - Collect structured event data (name, date, venue, etc.) - Track ticket availability and event listings - Build datasets for event aggregation platforms - Analyze trends in live events and ticket markets - Power search, recommendation, or analytics systems This is especially useful for developers, analysts, marketplaces, and event-based applications. ### 📥 Input ```json { "maxItems": 5, "startUrls": [ { "url": "https://www.ticketcity.com/category/pop-tickets" } ], "proxyConfiguration": { "useApifyProxy": false, } } ```` ### 📤 Output ```json [ { "url": "https://www.ticketcity.com/tickets/6125325/dancing-with-the-stars-live-tickets-sun-mar-22-2026-bjcc-concert-hall", "id": "6125325", "eventName": "Dancing with the Stars - Live", "eventDate": "2026-03-22T16:00", "eventCategory": "Ballet and Dance", "eventType": "theatre", "venue": { "id": "2257", "name": "BJCC Concert Hall", "city": "Birmingham", "region": "AL", "country": "US" } } ] ``` ### Need to scrape other sites? Check out our other scrapers on Apify: - [Billetto.co.uk Scraper](https://apify.com/lexis-solutions/billetto-co-uk-scraper) - [Luma Scraper](https://apify.com/lexis-solutions/lu-ma-scraper) - [Dice.fm Scraper](https://apify.com/lexis-solutions/dice-fm) - [Feverup.com Scraper](https://apify.com/lexis-solutions/feverup-com-scraper) *** 👀 p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Support Our Work 💝 If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us! ### Image Credit Image Credits: https://www.ticketcity.com/ # Actor input Schema ## `startUrls` (type: `array`): URLs to scrape ## `maxItems` (type: `integer`): The maximum number of items to fetch ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify ## Actor input object example ```json { "startUrls": [ { "url": "https://www.ticketcity.com/performer/dancing-with-the-stars-tickets" } ], "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://www.ticketcity.com/performer/dancing-with-the-stars-tickets" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/ticketcity-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://www.ticketcity.com/performer/dancing-with-the-stars-tickets" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/ticketcity-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://www.ticketcity.com/performer/dancing-with-the-stars-tickets" } ] }' | apify call lexis-solutions/ticketcity-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/ticketcity-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TicketCity Scraper", "description": "TicketCity.com ticket scraper for concerts, sports and theatre, extracting event names, dates, categories, venues, locations and URLs for event discovery, ticket analytics and ticket marketplace data aggregation.", "version": "1.0", "x-build-id": "rarynyKihbpM2pmUM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~ticketcity-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-ticketcity-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~ticketcity-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-ticketcity-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~ticketcity-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-ticketcity-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 scrape", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "type": "integer", "description": "The maximum number of items to fetch", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify", "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 } } } } } } } } } } ```