# Dry Cleaner & PCE Solvent Site Screener API

**Use case:** 

Find dry cleaners, metal platers and photofinishers within a mile of five US downtowns by SIC code, with the chlorinated solvents each land use implies.

## Input

```json
{
  "assets": [
    {
      "lat": 41.8781,
      "lon": -87.6298,
      "label": "Chicago Loop, IL"
    },
    {
      "lat": 39.9526,
      "lon": -75.1652,
      "label": "Center City Philadelphia, PA"
    },
    {
      "lat": 40.7274,
      "lon": -74.159,
      "label": "Newark Ironbound, NJ"
    },
    {
      "lat": 29.7604,
      "lon": -95.3698,
      "label": "Downtown Houston, TX"
    },
    {
      "lat": 33.749,
      "lon": -84.388,
      "label": "Downtown Atlanta, GA"
    }
  ],
  "radiusMiles": 1,
  "landUseClasses": [
    "DRY_CLEANING",
    "METAL_PLATING_FINISHING",
    "PHOTOFINISHING"
  ],
  "programs": [],
  "includeSecondaryClassifications": true,
  "includeUnclassifiedFacilities": false,
  "crossStateRecords": "flag",
  "coordinateStackThreshold": 5,
  "maxFacilitiesPerAsset": 26,
  "maxResults": 130,
  "simulateOutage": "none"
}
```

## Output

```json
{
  "row_type": {
    "label": "Row type",
    "format": "string"
  },
  "asset_label": {
    "label": "Property label",
    "format": "string"
  },
  "facility_name": {
    "label": "Facility name",
    "format": "string"
  },
  "facility_address": {
    "label": "Facility address",
    "format": "string"
  },
  "facility_city": {
    "label": "Facility city",
    "format": "string"
  },
  "facility_state": {
    "label": "Facility state",
    "format": "string"
  },
  "distance_miles": {
    "label": "Distance (miles)",
    "format": "number"
  },
  "primary_land_use_class_label": {
    "label": "Primary land-use class label",
    "format": "string"
  },
  "contaminant_risk_tier": {
    "label": "Contaminant risk tier",
    "format": "string"
  },
  "contaminants_of_concern": {
    "label": "Contaminants of concern",
    "format": "string"
  },
  "sic_codes_matched": {
    "label": "Matched SIC codes",
    "format": "string"
  },
  "naics_codes_matched": {
    "label": "Matched NAICS codes",
    "format": "string"
  },
  "location_confidence": {
    "label": "Location confidence",
    "format": "string"
  },
  "operational_status": {
    "label": "Operational status",
    "format": "string"
  },
  "astm_prior_use_verdict": {
    "label": "ASTM prior-use verdict",
    "format": "string"
  },
  "contaminating_use_facility_count": {
    "label": "Contaminating facilities found",
    "format": "number"
  },
  "classification_coverage_pct": {
    "label": "Classification coverage (%)",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Historic Land Use Screener - Contaminating SIC/NAICS Sites](https://apify.com/malonestar/historic-land-use-sic-contaminant-screener) with a specific input configuration. Visit the [Actor detail page](https://apify.com/malonestar/historic-land-use-sic-contaminant-screener) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/malonestar/historic-land-use-sic-contaminant-screener.md

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).
