# Texas Environmental Permits (`velvety_bedbug/texas-environmental-permits`) Actor - **URL**: https://apify.com/velvety\_bedbug/texas-environmental-permits.md - **Developed by:** [Peter Skotte](https://apify.com/velvety_bedbug) (community) - **Categories:** Automation, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Texas TCEQ Environmental Permits & Compliance Scraper ### Overview Scrape Texas Commission on Environmental Quality (TCEQ) data including environmental violations, enforcement actions, compliance history, and facility permits via Texas Open Data Portal Socrata API. Supports filters (Dataset Type, City Filter, Date From, Date To). ### Features - Filter results by category or type - Export data in JSON, CSV, or Excel formats - Control output volume with configurable result limits ### Use Cases - **Track** - Track state and local government data and permits - **Monitor** - Monitor regulatory filings and public records - **Build** - Build databases for civic tech and transparency projects - **Aggregate** - Aggregate local government data for community research ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `datasetType` | string | Type of TCEQ data to scrape | `violations` | | `county` | string | Filter by Texas county name (e.g., HARRIS, DALLAS, TRAVIS). Leave empty for a... | `` | | `city` | string | Filter by city name. Leave empty for all cities. | `` | | `facilityName` | string | Search by facility/regulated entity name (partial match supported) | `` | | `dateFrom` | string | Filter records from this date (YYYY-MM-DD format) | `` | | `dateTo` | string | Filter records to this date (YYYY-MM-DD format) | `` | | `maxItems` | integer | Maximum number of records to scrape per dataset | `1000` | ### Output Example Each result contains structured data like this: ```json { "title": "Sample Government - State/Local Result", "agency": "Department of Commerce", "date": "2025-01-15", "description": "Detailed description of the item...", "location": "San Francisco, CA", "documentUrl": "https://example.com/item/12345", "url": "https://example.com/item/12345" } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.001** per result - **$1.00** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [Texas TCEQ Environmental Permits & Compliance Scraper](https://apify.com/fortuitous_pirate/texas-environmental-permits) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~texas-environmental-permits/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/texas-environmental-permits").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect Texas TCEQ Environmental Permits & Compliance Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `datasetType` (type: `string`): Type of TCEQ data to scrape ## `county` (type: `string`): Filter by Texas county name (e.g., HARRIS, DALLAS, TRAVIS). Leave empty for all counties. ## `city` (type: `string`): Filter by city name. Leave empty for all cities. ## `facilityName` (type: `string`): Search by facility/regulated entity name (partial match supported) ## `dateFrom` (type: `string`): Filter records from this date (YYYY-MM-DD format) ## `dateTo` (type: `string`): Filter records to this date (YYYY-MM-DD format) ## `maxItems` (type: `integer`): Maximum number of records to scrape per dataset ## Actor input object example ```json { "datasetType": "violations", "county": "", "city": "", "facilityName": "", "dateFrom": "", "dateTo": "", "maxItems": 10 } ``` # 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("velvety_bedbug/texas-environmental-permits").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("velvety_bedbug/texas-environmental-permits").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 velvety_bedbug/texas-environmental-permits --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=velvety_bedbug/texas-environmental-permits", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Texas Environmental Permits", "version": "1.0", "x-build-id": "hywTGbhcWDlWsjIR0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/velvety_bedbug~texas-environmental-permits/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-velvety_bedbug-texas-environmental-permits", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/velvety_bedbug~texas-environmental-permits/runs": { "post": { "operationId": "runs-sync-velvety_bedbug-texas-environmental-permits", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/velvety_bedbug~texas-environmental-permits/run-sync": { "post": { "operationId": "run-sync-velvety_bedbug-texas-environmental-permits", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "datasetType": { "title": "Dataset Type", "enum": [ "violations", "enforcement", "compliance_history", "administrative_orders", "spills", "lpst_sites", "complaints", "all" ], "type": "string", "description": "Type of TCEQ data to scrape", "default": "violations" }, "county": { "title": "County Filter", "type": "string", "description": "Filter by Texas county name (e.g., HARRIS, DALLAS, TRAVIS). Leave empty for all counties.", "default": "" }, "city": { "title": "City Filter", "type": "string", "description": "Filter by city name. Leave empty for all cities.", "default": "" }, "facilityName": { "title": "Facility Name", "type": "string", "description": "Search by facility/regulated entity name (partial match supported)", "default": "" }, "dateFrom": { "title": "Date From", "type": "string", "description": "Filter records from this date (YYYY-MM-DD format)", "default": "" }, "dateTo": { "title": "Date To", "type": "string", "description": "Filter records to this date (YYYY-MM-DD format)", "default": "" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of records to scrape per dataset", "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 } } } } } } } } } } ```