Pricing
Pay per event
Integrated scraper for Eventbrite & Meetup events. Filters by city, radius, and keywords. Outputs deduplicated results in HTML, Excel, CSV, JSON, and ICS calendar formats. Fast, browser-optimized. Ideal for users, analysts, marketers, and app builders.
0.0 (0)
Pricing
Pay per event
3
14
6
Issues response
3.3 hours
Last modified
25 days ago
You can access the Eventbride + Ticketmaster programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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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/dr.ollie~eventbride-ticketmaster/run-sync": { "post": { "operationId": "run-sync-dr.ollie-eventbride-ticketmaster", "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": 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"default": "us" }, "distanceKm": { "title": "Radius (km)", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Search radius around the location, in km.", "default": 50 }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of items (events or groups) to fetch.", "default": 100 }, "startDateRange": { "title": "Start Date Range", "type": "string", "description": "Start date for filtering (YYYY-MM-DD format or relative like '1 week')." }, "endDateRange": { "title": "End Date Range", "type": "string", "description": "End date for filtering (YYYY-MM-DD format or relative like '1 month')." }, "deduplicate": { "title": "Merge Duplicates", "type": "boolean", "description": "Combine near-duplicate items by title/time/location.", "default": true }, "saveToIcal": { "title": "Export to iCal", "type": "boolean", "description": "Save a calendar.ics file to the Key-Value Store.", "default": true }, "source": { "title": "Source Platforms", "type": "array", "description": "Platforms to fetch from (e.g. eventbrite, meetup, ticketmaster)", "items": { "type": "string" }, "default": [ "eventbrite", "meetup" ] } } }, "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": 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"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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Eventbride + Ticketmaster from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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