# Ovcojp Eventinfo Spider (`getdataforme/ovcojp-eventinfo-spider`) Actor The Ovcojp Eventinfo Spider is a web scraping tool that extracts comprehensive event details from the OVC website, including titles, dates, locations, and registration information.... - **URL**: https://apify.com/getdataforme/ovcojp-eventinfo-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 --- ## Ovcojp Eventinfo Spider ### Introduction The Ovcojp Eventinfo Spider is a powerful web scraping tool designed to extract detailed information about events from the OVC website. It efficiently gathers data such as event titles, dates, locations, and registration details, providing users with comprehensive insights into upcoming events. ### Features - **Comprehensive Data Extraction**: Captures all relevant event details including title, date, location, and contact information. - **Customizable URL Input**: Allows users to specify multiple URLs for targeted scraping. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run or opt for no limit. - **High-Quality Data Output**: Ensures reliable and accurate data extraction with minimal errors. - **User-Friendly Configuration**: Simple setup process with clear input parameters and easy-to-follow instructions. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider. | `["https://ovc.ojp.gov/events/self-care-culture-what-it-looks-and-how-build-it"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProductUrls": [ "https://ovc.ojp.gov/events/self-care-culture-what-it-looks-and-how-build-it" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://ovc.ojp.gov/events/self-care-culture-what-it-looks-and-how-to-build-it", "post_title": "The Self-Care Culture: What It Looks Like and How to Build It", "post_image": "https://ovc.ojp.gov/sites/g/files/xyckuh226/files/images/2025-06/logo-color-1200x628.jpg", "event_date": "June 18, 2026, 1:00 pm – 2:15 pm Eastern", "location": "Online", "details": "Creating a culture of wellness isn’t about an app, an FTE, or a new policy β€” it starts with each of us. This Justice Clearinghouse webinar offers strategies to help foster a workplace where rest, boundaries, and well-being are genuinely supported and respected by all.", "registration_url": "https://www.justiceclearinghouse.com/webinar/the-self-care-culture-what-it-looks-like-and-how-to-build-it/?source=ncjrs", "event_type": "Webinar", "event_options": ["Live", "Online"], "sponsors_hosts": ["Justice Clearinghouse"], "contact": "Christina McCale", "email": "95f6fde7fce6d5ffe0e6e1fcf6f0f6f9f0f4e7fcfbf2fdfae0e6f0bbf6faf8", "phone_number": "360-515-6652", "cost": "$0", "notes": "This event is hosted by a third party and is not sponsored by the Office for Victims of Crime. The opinions, findings, and conclusions or recommendations expressed in this product are those of the contributors and do not necessarily represent the official position or policies of the U.S. Department of Justice.", "created_date": "Date Created: March 9, 2026", "similar_events": [ { "title": "When Violence Goes Digital: Understanding Cyber Assault and the New Frontier of Abuse", "url": "https://ovc.ojp.gov/events/when-violence-goes-digital-understanding-cyber-assault-and-new-frontier-abuse" }, { "title": "Privacy vs Confidentiality", "url": "https://ovc.ojp.gov/events/privacy-vs-confidentiality" }, { "title": "Engaging Innovative Approaches to Serving Crime Victims: Leveraging Peer Support", "url": "https://ovc.ojp.gov/events/engaging-innovative-approaches-serving-crime-victims-leveraging-peer-support" } ], "actor_id": "6ZwHkOcviYbApbc3h", "run_id": "lylTvqS8Kd7lmlIzf" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on industry events to identify trends. - **Competitive Intelligence**: Monitor competitor event activities for strategic insights. - **Price Monitoring**: Track registration fees or costs associated with events. - **Content Aggregation**: Compile information from multiple sources into a single dataset. - **Academic Research**: Collect data for studies related to event management and participation. - **Business Automation**: Automate the process of gathering event details for internal use. ### Installation and Usage 1. Search for "Ovcojp Eventinfo Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 output is a JSON array containing objects with detailed event information. Key fields include: - `url`: The URL of the event page. - `post_title`: Title of the event. - `post_image`: Image associated with the event. - `event_date`: Date and time of the event. - `location`: Location where the event will take place. - `details`: Description of the event. - `registration_url`: URL to register for the event. - `event_type`: Type of event (e.g., Webinar). - `event_options`: Options available for attending the event. - `sponsors_hosts`: Sponsors or hosts of the event. - `contact`: Contact person for the event. - `email`: Email address for contact. - `phone_number`: Phone number for contact. - `cost`: Cost associated with the event. - `notes`: Additional notes about the event. - `created_date`: Date when the event was created. - `similar_events`: List of similar events. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `ProductUrls` (type: `array`): The product urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "ProductUrls": [ "https://ovc.ojp.gov/events/self-care-culture-what-it-looks-and-how-build-it" ], "item_limit": 10 } ``` # 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/ovcojp-eventinfo-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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/ovcojp-eventinfo-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/ovcojp-eventinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ovcojp-eventinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ovcojp Eventinfo Spider", "description": "The Ovcojp Eventinfo Spider is a web scraping tool that extracts comprehensive event details from the OVC website, including titles, dates, locations, and registration information....", "version": "0.0", "x-build-id": "N6Q9Zhv9cp4vIVtZ2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ovcojp-eventinfo-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ovcojp-eventinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ovcojp-eventinfo-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-ovcojp-eventinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ovcojp-eventinfo-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-ovcojp-eventinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://ovc.ojp.gov/events/self-care-culture-what-it-looks-and-how-build-it" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```