# TickPick Scraper (`lexis-solutions/tickpick-scraper`) Actor TickPick.com ticket scraper for sports, concerts and theater events, extracting event names, dates, venues, performers, ticket prices, availability and metadata for ticket marketplace analytics and pricing research. - **URL**: https://apify.com/lexis-solutions/tickpick-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Automation, AI, Agents - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## TickPick Scraper ![banner](https://i.ibb.co/Xr634ZnR/Screenshot-2026-03-23-at-2-49-23-PM.png) TickPick (tickpick.com) is a US ticket marketplace for sports, concerts, and theater events with no hidden fees. This actor collects structured event data from TickPick category, search, and event detail pages. ### Introduction The TickPick scraper starts from category or search URLs, collects event listings, opens detail pages, and extracts structured data such as event name, date, venue, performers, ticket pricing stats, and event metadata. ### Use Cases - **Market research**: Track event pricing trends and ticket availability across sports, concerts, and theater. - **Competitive analysis**: Compare ticket prices and inventory across events and venues. - **Lead generation**: Build structured event datasets for sales, outreach, and enrichment workflows. - **Analytics pipelines**: Feed dashboards, warehousing, and downstream analysis tools with normalized event data. ### Input Provide the following fields: - `startUrls` (array, required): TickPick category, search, or event detail URLs. - `maxItems` (integer, optional): Maximum number of detail items to extract per start URL. - `proxyConfiguration` (object, optional): Apify proxy settings. Notes: - If a `startUrl` is a category or search URL, the actor collects event detail pages from that source. - If a `startUrl` is a detail URL, the actor extracts that event directly. - `maxItems` is enforced per original input URL. - Proxies are recommended for stability, especially for larger crawls. ### Input Examples ```json { "startUrls": [ { "url": "https://www.tickpick.com/nfl/arizona-cardinals-tickets/" }, { "url": "https://www.tickpick.com/search/?q=imagine" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Important Notes The site is **geo-restricted**, you do not need a proxy but if you encounter issues accessing it, enable Apify proxy and location to US. ### Output Each dataset item contains fields like: ```json { "url": "https://www.tickpick.com/buy-los-angeles-rams-vs-new-york-giants-(date-tbd)-tickets-sofi-stadium-8-17-26-3am/7730383/", "eventId": "7730383", "eventName": "Los Angeles Rams vs. New York Giants (Date: TBD)", "shortName": "Rams vs. Giants (Date: TBD)", "description": "Los Angeles Rams vs. New York Giants (Date: TBD)", "eventDate": "2026-08-17T03:30:00", "eventDateUtc": "2026-08-17T10:30:00", "eventStatus": "Scheduled", "eventType": "SPORTS", "childCategory": "FOOTBALL", "grandchildCategory": "NFL", "venueName": "SoFi Stadium", "venueAddress": "1000 South Prairie Avenue", "venueCity": "Inglewood", "venueState": "CA", "venueCountry": "US", "performerName": "Los Angeles Rams", "performerImageUrl": "https://static.tickpick.com/performers/los-angeles-rams.jpg", "performerUrl": "https://www.tickpick.com/nfl/los-angeles-rams-tickets/", "secondaryPerformers": ["New York Giants"], "priceCurrency": "USD", "lowPrice": 102, "highPrice": 1427, "averagePrice": 525.55, "ticketCount": 130, "imageUrl": "https://static.tickpick.com/categories/nfl.jpg" } ``` ### Why use the TickPick Scraper? - **Focused**: Built specifically for TickPick event listing and detail flows. - **Structured output**: Produces flat JSON records ready for automation and analysis. - **Detail-first extraction**: Opens event pages and captures meaningful detail fields, pricing stats, and metadata. - **Per-URL limits**: `maxItems` is enforced per original input URL. - **Apify-native**: Works with Apify datasets, request queue, and proxy config. ### FAQ - **How many events can it extract?** Controlled by `maxItems` per source URL. - **Can it scrape sports, concerts, and theater?** Yes. The actor supports all TickPick event types. - **Do I need proxies?** Not always, but proxies are recommended for larger runs and stability. - **Can I start from a detail URL?** Yes. Event detail URLs are supported directly. - **What if TickPick changes its site structure?** The actor may require updates to keep extraction stable. ### Need to scrape other ticket marketplaces? *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom 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. ### Image Credit Image credit: https://www.tickpick.com/ # Actor input Schema ## `startUrls` (type: `array`): TickPick category, search, or event detail URLs. ## `maxItems` (type: `integer`): Maximum number of detail items to extract per start URL. ## `proxyConfiguration` (type: `object`): Apify proxy settings. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.tickpick.com/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://www.tickpick.com/search/?q=imagine" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/tickpick-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.tickpick.com/search/?q=imagine" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/tickpick-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.tickpick.com/search/?q=imagine" } ] }' | apify call lexis-solutions/tickpick-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/tickpick-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TickPick Scraper", "description": "TickPick.com ticket scraper for sports, concerts and theater events, extracting event names, dates, venues, performers, ticket prices, availability and metadata for ticket marketplace analytics and pricing research.", "version": "1.0", "x-build-id": "BgiNxbIT4t7WVrXFQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~tickpick-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-tickpick-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~tickpick-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-tickpick-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~tickpick-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-tickpick-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "TickPick category, search, or event detail URLs.", "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 detail items to extract per start URL.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings.", "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 } } } } } } } } } } ```