# US State Fish Stocking Report Aggregator (`jungle_synthesizer/us-state-fish-stocking-report-aggregator-scraper`) Actor Aggregates official fish stocking reports from multiple US state wildlife agencies (Utah, California, Texas, Colorado, Pennsylvania and more). Returns geocoded stocking events with species, quantity, water body, county, hatchery and date — updated weekly during stocking season (March–October). - **URL**: https://apify.com/jungle\_synthesizer/us-state-fish-stocking-report-aggregator-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Other, Automation - **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 ## US State Fish Stocking Report Aggregator Aggregates official fish stocking reports from multiple US state wildlife agencies and returns a unified, structured dataset. Covers Utah, California, Texas, Colorado, and Pennsylvania — the highest search-volume states — with per-record fields for species, quantity, water body, county, hatchery, and stocking date. ### What you get Each stocking record includes: | Field | Description | |-------|-------------| | `state` | US state abbreviation (UT, CA, TX, CO, PA) | | `agency` | Wildlife agency name (e.g. Utah Division of Wildlife Resources) | | `water_body` | Name of the lake, river, pond, or reservoir | | `county` | County where the water body is located | | `species` | Fish species (e.g. Rainbow Trout, Brown Trout, Tiger Muskie) | | `quantity_stocked` | Number of fish stocked in the event | | `average_size` | Average size or weight of stocked fish | | `stocking_date` | Date stocked or scheduled | | `planned_or_completed` | Whether the event is scheduled or completed | | `hatchery` | Source hatchery (when available) | | `latitude` | Latitude coordinate (when published) | | `longitude` | Longitude coordinate (when published) | | `source_url` | Link to the source agency page | | `scraped_at` | ISO 8601 timestamp of collection | ### Supported states | State | Agency | Data Source | |-------|--------|-------------| | UT | Utah Division of Wildlife Resources | dwrapps.utah.gov — current season, completed events | | CA | California Department of Fish and Wildlife | nrm.dfg.ca.gov — plant schedule, planned events | | TX | Texas Parks and Wildlife Department | tpwd.texas.gov — Rainbow Trout season schedule | | CO | Colorado Parks and Wildlife | cpw.state.co.us — weekly stocking reports | | PA | Pennsylvania Fish and Boat Commission | pa.gov — notice of stocking | ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `states` | array of strings | `["UT","CA","TX","CO","PA"]` | State abbreviations to include | | `maxItems` | integer | 1000 | Maximum records to return | ### Usage Run with default settings to get all supported states: ```json { "states": ["UT", "CA", "TX", "CO"], "maxItems": 500 } ```` For a single state: ```json { "states": ["UT"], "maxItems": 100 } ``` ### Notes - Data is sourced directly from official state wildlife agency websites — no intermediary. - Stocking seasons typically run March–October. Running outside of season may return fewer records for some states. - Colorado records are enqueued from an index page and each water body links to an individual stocking report page. - Pennsylvania support is best-effort — the PA Fish and Boat Commission page structure may vary. - Coordinates (`latitude`/`longitude`) are blank for agencies that do not publish geocoded data. # 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. ## `maxItems` (type: `integer`): Maximum number of stocking records to return. Useful for testing. Leave empty for all records. ## `states` (type: `array`): List of US state abbreviations to scrape. Defaults to all supported states: UT, CA, TX, CO, PA. ## 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": 15, "states": [ "UT", "CA", "TX", "CO", "PA" ] } ``` # 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...", "maxItems": 15, "states": [ "UT", "CA", "TX", "CO", "PA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/us-state-fish-stocking-report-aggregator-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...", "maxItems": 15, "states": [ "UT", "CA", "TX", "CO", "PA", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/us-state-fish-stocking-report-aggregator-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...", "maxItems": 15, "states": [ "UT", "CA", "TX", "CO", "PA" ] }' | apify call jungle_synthesizer/us-state-fish-stocking-report-aggregator-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/us-state-fish-stocking-report-aggregator-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US State Fish Stocking Report Aggregator", "description": "Aggregates official fish stocking reports from multiple US state wildlife agencies (Utah, California, Texas, Colorado, Pennsylvania and more). Returns geocoded stocking events with species, quantity, water body, county, hatchery and date — updated weekly during stocking season (March–October).", "version": "0.1", "x-build-id": "GYWuW8qWLd6QdVLzF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~us-state-fish-stocking-report-aggregator-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-us-state-fish-stocking-report-aggregator-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~us-state-fish-stocking-report-aggregator-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-us-state-fish-stocking-report-aggregator-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~us-state-fish-stocking-report-aggregator-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-us-state-fish-stocking-report-aggregator-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." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of stocking records to return. Useful for testing. Leave empty for all records.", "default": 1000 }, "states": { "title": "States to Scrape", "type": "array", "description": "List of US state abbreviations to scrape. Defaults to all supported states: UT, CA, TX, CO, PA.", "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 } } } } } } } } } } ```