# Scrape Rodent Violation Data Near Chicago Loop

**Use case:** 

Discover food establishments with 'rodent' violations in the vicinity of Chicago's Loop, providing critical insights for public health monitoring and pest contr

## Input

```json
{
  "mode": "search",
  "facilityName": "",
  "riskLevel": "",
  "results": "",
  "facilityType": "",
  "inspectionType": "",
  "keyword": "rodent",
  "ward": "",
  "communityArea": "",
  "latitude": 41.8781,
  "longitude": -87.6298,
  "radiusKm": 2,
  "licenseNumbers": [],
  "inspectionIds": [],
  "sortAscending": false,
  "maxItems": 50
}
```

## Output

```json
{
  "dbaName": {
    "label": "Dba name"
  },
  "facilityType": {
    "label": "Facility type"
  },
  "riskLevel": {
    "label": "Risk level"
  },
  "address": {
    "label": "Address"
  },
  "ward": {
    "label": "Ward"
  },
  "communityArea": {
    "label": "Community area"
  },
  "inspectionDate": {
    "label": "Inspection date"
  },
  "inspectionType": {
    "label": "Inspection type"
  },
  "results": {
    "label": "Results"
  },
  "violationCount": {
    "label": "Violation count"
  }
}
```

## About this Actor

This example demonstrates how to use [Chicago Food Inspections Scraper](https://apify.com/crawlerbros/chicago-food-inspections-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/chicago-food-inspections-scraper.md) 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.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/crawlerbros/chicago-food-inspections-scraper.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).