# Local Event Scraper LATAM - Ticketmaster, Eventbrite, Tuboleta (`woundless_yellowwood/local-event-scraper-multipais`) Actor Scrape local events from 3 Latin American countries: Mexico (Ticketmaster), Colombia (Tuboleta), and Argentina (Eventbrite). Extract concerts, sports, conferences and comedy shows normalized into a single JSON dataset. Filter by city, category and price. Free plan ready. - **URL**: https://apify.com/woundless\_yellowwood/local-event-scraper-multipais.md - **Developed by:** [Proyecto Apify](https://apify.com/woundless_yellowwood) (community) - **Categories:** News, Marketing, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Local Event Scraper - Multi-Country LATAM Events API The ultimate event data extraction tool for Latin America. Scrape thousands of local events across multiple countries in a single API call and get a clean, normalized JSON dataset ready for your app, dashboard, or marketing pipeline. #### Supported Sources & Countries | Country | Source | Event Types | |---------|--------|-------------| | Mexico (MX) | Ticketmaster Mexico | Concerts, Sports, Theater, Comedy, Fairs, Conferences | | Colombia (CO) | Tuboleta | Concerts, Sports, Theater, Comedy, Fairs, Conferences | | Argentina (AR) | Eventbrite | All public events | #### What You Get Every event record includes: - **Event name and description** - full text ready for search or display - **Date, time and venue** - structured fields for calendar integration - **City and location** - filter by specific cities or regions - **Price range** - min/max price filtering in local currency - **Category** - music, sports, conference, comedy, theater, fairs - **Event URL** - direct link to the original listing - **Source platform** - know which platform the event came from #### Why This Scraper? - **Multi-country in one run** - no need to run separate scrapers for Mexico, Colombia and Argentina - **Normalized output** - all sources return the same JSON schema regardless of platform - **City-level filtering** - target specific cities within each country - **Category targeting** - scrape only the event types that matter to your business - **Price range filters** - find free events, premium experiences, or budget-friendly options - **Proxy rotation included** - built-in Apify Proxy support to avoid blocks - **Works on FREE plan** - start scraping events without paying a cent #### Perfect For - **Event marketing agencies** - discover upcoming events to pitch sponsors or sell tickets - **Tourism apps and websites** - build dynamic event calendars for LATAM destinations - **Lead generation** - find event organizers, venues and promoters as potential clients - **Local business intelligence** - track event trends, competition and market opportunities - **Social media managers** - plan content around trending local events - **Data journalists** - analyze event patterns across Latin American cities - **Ticket reselling platforms** - monitor event availability and pricing #### How to Use 1. Select your target countries (MX, CO, AR) 2. Optionally filter by cities, categories and price range 3. Set the maximum events per source (up to 500) 4. Run the actor and get structured JSON data in seconds #### Example Output ```json { "eventName": "Coldplay - Music of the Spheres Tour", "date": "2025-03-15", "time": "20:00", "venue": "Foro Sol", "city": "Mexico City", "country": "MX", "category": "music", "priceMin": 850, "priceMax": 5500, "currency": "MXN", "url": "https://www.ticketmaster.com.mx/...", "source": "ticketmaster" } ```` #### Technical Details - **Crawler engine**: Playwright + Cheerio for optimal speed and reliability - **Anti-bot**: Apify Proxy rotation with session pooling - **Rate limiting**: Configurable request delays to avoid detection - **Output format**: Structured JSON via Apify Dataset - **Pagination**: Automatic - extracts up to your configured limit per source # Actor input Schema ## `countries` (type: `array`): Lista de códigos ISO de países. MX = México, CO = Colombia, AR = Argentina. ## `cities` (type: `array`): Lista de ciudades a filtrar. Si se deja vacío, trae todas las disponibles. ## `categories` (type: `array`): Tipos de eventos a buscar. ## `maxPrice` (type: `integer`): Filtra eventos con precio igual o menor. Dejar en 0 para sin filtro de precio. ## `minPrice` (type: `integer`): Filtra eventos con precio igual o mayor. ## `maxEventsPerSource` (type: `integer`): Límite de eventos a extraer de cada fuente. ## `proxyConfiguration` (type: `object`): Usa Apify Proxy para fuentes que bloquean scraping. ## Actor input object example ```json { "countries": [ "MX", "CO" ], "cities": [], "categories": [ "music", "sports", "conference" ], "maxPrice": 0, "minPrice": 0, "maxEventsPerSource": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("woundless_yellowwood/local-event-scraper-multipais").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 = {} # Run the Actor and wait for it to finish run = client.actor("woundless_yellowwood/local-event-scraper-multipais").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 '{}' | apify call woundless_yellowwood/local-event-scraper-multipais --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=woundless_yellowwood/local-event-scraper-multipais", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Local Event Scraper LATAM - Ticketmaster, Eventbrite, Tuboleta", "description": "Scrape local events from 3 Latin American countries: Mexico (Ticketmaster), Colombia (Tuboleta), and Argentina (Eventbrite). Extract concerts, sports, conferences and comedy shows normalized into a single JSON dataset. Filter by city, category and price. Free plan ready.", "version": "1.0", "x-build-id": "X79cP8QGoERILR8BP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/woundless_yellowwood~local-event-scraper-multipais/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-woundless_yellowwood-local-event-scraper-multipais", "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/woundless_yellowwood~local-event-scraper-multipais/runs": { "post": { "operationId": "runs-sync-woundless_yellowwood-local-event-scraper-multipais", "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/woundless_yellowwood~local-event-scraper-multipais/run-sync": { "post": { "operationId": "run-sync-woundless_yellowwood-local-event-scraper-multipais", "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": [ "countries" ], "properties": { "countries": { "title": "Países a scraper", "type": "array", "description": "Lista de códigos ISO de países. MX = México, CO = Colombia, AR = Argentina.", "default": [ "MX", "CO" ], "items": { "type": "string" } }, "cities": { "title": "Ciudades (opcional)", "type": "array", "description": "Lista de ciudades a filtrar. Si se deja vacío, trae todas las disponibles.", "default": [] }, "categories": { "title": "Categorías de eventos", "type": "array", "description": "Tipos de eventos a buscar.", "default": [ "music", "sports", "conference" ], "items": { "type": "string" } }, "maxPrice": { "title": "Precio máximo (moneda local)", "minimum": 0, "type": "integer", "description": "Filtra eventos con precio igual o menor. Dejar en 0 para sin filtro de precio.", "default": 0 }, "minPrice": { "title": "Precio mínimo (moneda local)", "minimum": 0, "type": "integer", "description": "Filtra eventos con precio igual o mayor.", "default": 0 }, "maxEventsPerSource": { "title": "Máximo de eventos por fuente", "minimum": 1, "maximum": 500, "type": "integer", "description": "Límite de eventos a extraer de cada fuente.", "default": 50 }, "proxyConfiguration": { "title": "Configuración de Proxy", "type": "object", "description": "Usa Apify Proxy para fuentes que bloquean scraping.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```