# EPA Demand Scraper, companies in violation, nationwide (`belcaidsaad/epa-demand-scraper`) Actor Every U.S. company currently in EPA violation across all four programs, into one dataset. The only filter is volume. - **URL**: https://apify.com/belcaidsaad/epa-demand-scraper.md - **Developed by:** [Saad Belcaid](https://apify.com/belcaidsaad) (community) - **Categories:** Lead generation, News, AI - **Stats:** 19 total users, 17 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## EPA Demand Scraper Every U.S. company **currently in EPA violation** — across all four programs (Clean Water, Clean Air, Hazardous Waste, Drinking Water), nationwide — pulled into one Apify dataset. **The only filter is volume.** You slice by state, industry, or penalty yourself in the dataset. This is a *demand-side* lead source: companies in trouble with the EPA right now. The buyers for this list are environmental, remediation, compliance, and safety firms. ### Why it gets volume (the "why only 200?" fix) Most EPA pulls die because they stack filters — one program, two states, a tight industry code — on a throttled API. This actor does the opposite: - **All four programs**, unioned and deduped by EPA facility ID. - **Nationwide**, in-violation, no industry filter. - **Bulk download** (one CSV per program) instead of the throttled row-by-row API. Clean Water Act alone is **~42,800 facilities in violation** ($251M in penalties, verified live). Add the other three programs and you're well into six figures. ### Input ```json { "maxResults": 5000 } ```` - `maxResults` — how many companies you want (1–200,000). The only knob. - `programs` (optional, advanced) — defaults to all four; you normally leave it. ### Output (one row per company) ```json { "company": "Del Valle Processing LLC", "registry_id": "110000871234", "programs": ["Clean Water Act", "RCRA (Hazardous Waste)"], "violation_status": "Significant Non-Compliance", "address": "320 Industrial Blvd", "city": "Del Valle", "state": "TX", "zip": "78617", "county": "Travis", "naics_code": "311612", "naics_label": "Meat Processed from Carcasses", "last_inspection_date": "2025-09-30", "days_since_inspection": 141, "total_penalties_usd": 47500, "formal_actions": 2, "inspections_last_5yr": 5, "latitude": 30.1783, "longitude": -97.6042, "source_url": "https://echo.epa.gov/detailed-facility-report?fid=110000871234" } ``` `violation_status` (SNC = significant non-compliance is the hottest) and `days_since_inspection` are your prioritization signals — call the freshest, worst-hit first. > Note: EPA's export has no single "last violation date" field and no > employee-count field, so this actor reports `last_inspection_date` / > `days_since_inspection` as the recency proxy and leaves company size to your > own enrichment. We don't invent fields the source doesn't have. ### Run locally ```bash npm install npm run build apify run ``` ### Data source & verification EPA ECHO REST services (`echodata.epa.gov`). Flow per program: `get_facilities` (in-violation) → QueryID → `get_download` (full CSV). **CWA is live-verified.** CAA / RCRA / SDWA use the same shape but their violation-filter params were not yet live-confirmed (ECHO throttles at 300/hr and we hit it during recon). The actor **logs each program's facility count before downloading** — if a program logs `0` or `UNVERIFIED`, fix its `violationParams` in `src/programs.ts` and re-run. Never trust a gov API param silently: it returns empty or unfiltered without erroring. # Actor input Schema ## `maxResults` (type: `integer`): Total companies to return — every U.S. facility currently in EPA violation across all four programs (Clean Water, Air, Hazardous Waste, Drinking Water). This is the ONLY filter. Slice by state / industry / penalty yourself in the dataset. ## `onlySignificant` (type: `boolean`): On: return only the hottest tier — Significant Non-Compliance / High Priority Violators. Off (default): every facility in violation. Leave off for max volume; every row already carries a severity field you can sort by. ## Actor input object example ```json { "maxResults": 5000, "onlySignificant": false } ``` # 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("belcaidsaad/epa-demand-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 = {} # Run the Actor and wait for it to finish run = client.actor("belcaidsaad/epa-demand-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 '{}' | apify call belcaidsaad/epa-demand-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=belcaidsaad/epa-demand-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EPA Demand Scraper, companies in violation, nationwide", "description": "Every U.S. company currently in EPA violation across all four programs, into one dataset. The only filter is volume.", "version": "0.1", "x-build-id": "JyIzwXXFNmW6USbbP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/belcaidsaad~epa-demand-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-belcaidsaad-epa-demand-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/belcaidsaad~epa-demand-scraper/runs": { "post": { "operationId": "runs-sync-belcaidsaad-epa-demand-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/belcaidsaad~epa-demand-scraper/run-sync": { "post": { "operationId": "run-sync-belcaidsaad-epa-demand-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxResults" ], "properties": { "maxResults": { "title": "How many companies do you want?", "minimum": 1, "maximum": 200000, "type": "integer", "description": "Total companies to return — every U.S. facility currently in EPA violation across all four programs (Clean Water, Air, Hazardous Waste, Drinking Water). This is the ONLY filter. Slice by state / industry / penalty yourself in the dataset.", "default": 5000 }, "onlySignificant": { "title": "Significant violations only (advanced)", "type": "boolean", "description": "On: return only the hottest tier — Significant Non-Compliance / High Priority Violators. Off (default): every facility in violation. Leave off for max volume; every row already carries a severity field you can sort by.", "default": false } } }, "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 } } } } } } } } } } ```