# Showman Discovery Url Parser Spider (`getdataforme/showman-discovery-url-parser-spider`) Actor This Apify Actor scrapes and extracts detailed event data from Showman.co.il, including titles, dates, and images. It features efficient URL parsing, customizable search keys, structured JSON output, and robust error handling for reliable automation.... - **URL**: https://apify.com/getdataforme/showman-discovery-url-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ### Description This Apify Actor scrapes and extracts detailed event data from Showman.co.il, including titles, dates, and images. It features efficient URL parsing, customizable search keys, structured JSON output, and robust error handling for reliable automation.... --- ## Showman Discovery Url Parser Spider ### Introduction The Showman Discovery Url Parser Spider is a powerful Apify Actor designed to scrape and extract detailed event information from the Showman website (showman.co.il). It efficiently parses URLs to gather data on upcoming events, including titles, dates, images, and more, making it an invaluable tool for event enthusiasts, marketers, and data analysts. By automating the discovery and parsing process, this Actor saves time and ensures accurate, structured data output for further analysis or integration. ### Features - **Efficient URL Parsing**: Quickly processes multiple URLs to extract event details from Showman.co.il. - **Customizable Search Keys**: Supports search keys for targeted scraping, allowing users to filter relevant content. - **Structured JSON Output**: Delivers clean, consistent data in JSON format, ready for export or API integration. - **High Performance**: Built on Apify's scalable infrastructure for fast, reliable execution even with large datasets. - **Error Handling**: Includes robust mechanisms to handle network issues, invalid URLs, and parsing errors. - **No Coding Required**: User-friendly interface for easy configuration and deployment via the Apify Store. - **Data Reliability**: Ensures high accuracy in extracting titles, dates, images, and URLs from event pages. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|--------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | No | An array of URLs to scrape from the Showman website. Must start with http:// or https://. | ["https://showman.co.il"] | | SearchKeys | array | No | An array of search keys to filter or target specific content during scraping. | ["и"] | ### Example Usage #### Input Example ```json { "Urls": ["https://showman.co.il"], "SearchKeys": ["и"] } ```` #### Output Example ```json [ { "url": "https://showman.co.il/e/renata-litvinova-kaktus/", "title": "Рената Литвинова «Кактус»", "date": "19 апреля 2026", "image": "https://showman.co.il/wp-content/uploads/2025/12/750X750-CACTUS-680x680.png?id=418386", "actor_id": "eLJeR12epIcZ6IZ6j", "run_id": "o4cPj1Aq0qDAbPtIk" }, { "url": "https://showman.co.il/e/new-era-festival-tel-aviv/", "title": "Большой фестиваль NEW ERA", "date": "23 апреля 2026", "image": "https://showman.co.il/wp-content/uploads/2026/02/IMG_0609.JPG-680x680.jpeg?id=424781", "actor_id": "eLJeR12epIcZ6IZ6j", "run_id": "o4cPj1Aq0qDAbPtIk" }, { "url": "https://showman.co.il/e/mirovye-rok-hity-perezagruzka/", "title": "МИРОВЫЕ РОК-ХИТЫ. ПЕРЕЗАГРУЗКА", "date": "23 апреля 2026", "image": "https://showman.co.il/wp-content/uploads/2025/07/750-750-680x680.png?id=404500", "actor_id": "eLJeR12epIcZ6IZ6j", "run_id": "o4cPj1Aq0qDAbPtIk" } ] ``` ### Use Cases - **Market Research**: Analyze upcoming events to identify trends in entertainment and cultural activities. - **Competitive Intelligence**: Monitor rival event listings and pricing strategies on Showman.co.il. - **Price Monitoring**: Track event ticket prices and availability for dynamic pricing models. - **Content Aggregation**: Build databases of event data for news aggregators or social media platforms. - **Academic Research**: Collect historical and current event data for studies in cultural economics or sociology. - **Business Automation**: Automate data feeds for event management software or CRM systems. ### Installation and Usage 1. Search for "Showman Discovery Url Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add URLs and search keys). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs an array of JSON objects, each representing an extracted event. Key fields include: - `url`: The full URL of the event page. - `title`: The event title in its original language. - `date`: The event date. - `image`: URL to the event's promotional image. - `actor_id`: Unique identifier for the Actor run. - `run_id`: Unique identifier for the specific run. Data is structured for easy parsing and integration into databases or applications. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `SearchKeys` (type: `array`): The search keys for the spider. ## Actor input object example ```json { "Urls": [ "https://showman.co.il" ], "SearchKeys": [ "и" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/showman-discovery-url-parser-spider").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("getdataforme/showman-discovery-url-parser-spider").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 getdataforme/showman-discovery-url-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/showman-discovery-url-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Showman Discovery Url Parser Spider", "description": "This Apify Actor scrapes and extracts detailed event data from Showman.co.il, including titles, dates, and images. It features efficient URL parsing, customizable search keys, structured JSON output, and robust error handling for reliable automation....", "version": "0.0", "x-build-id": "ThgSZtEjNAnY7vOOu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~showman-discovery-url-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-showman-discovery-url-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~showman-discovery-url-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-showman-discovery-url-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~showman-discovery-url-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-showman-discovery-url-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://showman.co.il" ], "items": { "type": "string" } }, "SearchKeys": { "title": "Search Keys", "type": "array", "description": "The search keys for the spider.", "default": [ "и" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```