# AKC Event Search & Show Results Scraper (`jungle_synthesizer/akc-event-search-show-results-scraper`) Actor Scrapes AKC-sanctioned dog show events and competition results from the American Kennel Club event search. Returns event details including venue, club, dates, superintendent, premium list and entry information for conformation, agility, obedience, rally, and other event types. - **URL**: https://apify.com/jungle\_synthesizer/akc-event-search-show-results-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## AKC Event Search & Show Results Scraper Scrapes AKC-sanctioned dog show events and competition results from the American Kennel Club event search. Returns event details including venue, club, dates, superintendent, premium list and entry information for conformation, agility, obedience, rally, and other event types. ### What it does Queries the AKC Event Search API (`https://webapps.akc.org/event-search/api/search/events`) and returns structured event records for all competition types: conformation, agility, obedience, rally, scent work, field trials, herding, earthdog, lure coursing, tracking, and more. The actor splits a user-provided date range into 2-week windows (staying under the API's 1,000-event-per-request cap) and issues one POST request per window, collecting all results. ### Use cases - Find upcoming dog shows in your area for a specific date range - Track competition schedules for clubs, kennel clubs, or individual exhibitors - Monitor entry opening/closing dates for specific events - Build event calendars or integration feeds for dog show participants ### Input | Field | Type | Description | |-------|------|-------------| | `startDate` | string | Start date in `MM/DD/YYYY` format. Defaults to today. | | `endDate` | string | End date in `MM/DD/YYYY` format. Defaults to 180 days from today. | | `maxItems` | integer | Maximum number of event records to return. Default: 0 (no limit). | ### Output One record per AKC event. Fields include: | Field | Description | |-------|-------------| | `event_id` | AKC internal event ID | | `event_number` | AKC event number (used in event URLs) | | `event_name` | Event name (usually the kennel club name) | | `event_type` | Competition type code (e.g. `AB/LB`, `AGT ACNT`, `OBT`) | | `event_status` | Approval status (e.g. `Approved`) | | `competition_group` | Competition group (Conformation, Companion, Performance, etc.) | | `competition_method` | Competition method (All Breed, Specialty, Hunting Test, etc.) | | `club_name` | Host kennel club name | | `venue_name` | Venue/site name | | `venue_city` | Venue city | | `venue_state` | Venue state code | | `venue_zip` | Venue postal code | | `latitude` / `longitude` | GPS coordinates | | `start_date` / `end_date` | Event date range (YYYY-MM-DD) | | `days` | Number of event days | | `entry_open_date` / `entry_close_date` | Entry window (epoch milliseconds) | | `superintendent` | Superintendent/secretary name and contact info | | `is_accepting_online_entries` | Whether online entries are open | | `is_premium_list_available` | Whether premium list is available | | `is_results_available` | Whether judging program/results are posted | | `profile_url` | AKC event detail page URL | | `scraped_at` | ISO timestamp of when the record was scraped | ### Example input ```json { "startDate": "06/01/2026", "endDate": "06/30/2026", "maxItems": 100 } ```` ### Notes - The AKC Event Search API returns up to 1,000 events per request. The actor automatically splits large date ranges into 2-week windows to avoid truncation. - No authentication or proxy is required — the AKC API is publicly accessible. - A typical 6-month range returns several thousand events across all competition types. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startDate` (type: `string`): Start date for event search in MM/DD/YYYY format. Defaults to today if not provided. ## `endDate` (type: `string`): End date for event search in MM/DD/YYYY format. Defaults to 180 days from today if not provided. ## `maxItems` (type: `integer`): Maximum number of event records to scrape ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startDate": "", "endDate": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/akc-event-search-show-results-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startDate": "", "endDate": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/akc-event-search-show-results-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startDate": "", "endDate": "", "maxItems": 10 }' | apify call jungle_synthesizer/akc-event-search-show-results-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/akc-event-search-show-results-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AKC Event Search & Show Results Scraper", "description": "Scrapes AKC-sanctioned dog show events and competition results from the American Kennel Club event search. Returns event details including venue, club, dates, superintendent, premium list and entry information for conformation, agility, obedience, rally, and other event types.\n", "version": "0.1", "x-build-id": "ANjPdD536QELLoegM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~akc-event-search-show-results-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-akc-event-search-show-results-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/jungle_synthesizer~akc-event-search-show-results-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-akc-event-search-show-results-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/jungle_synthesizer~akc-event-search-show-results-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-akc-event-search-show-results-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", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startDate": { "title": "Start Date", "type": "string", "description": "Start date for event search in MM/DD/YYYY format. Defaults to today if not provided.\n" }, "endDate": { "title": "End Date", "type": "string", "description": "End date for event search in MM/DD/YYYY format. Defaults to 180 days from today if not provided.\n" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of event records to scrape", "default": 0 } } }, "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 } } } } } } } } } } ```