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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

{"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)

{
"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

npminstall
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.