# US Address Normalizer and Parser Tool

**Use case:** 

Normalize and parse messy US street addresses into structured street, city, state, postal code, and country fields. Export to JSON or CSV.

## Input

```json
{
  "addresses": [
    "123 main st new york ny 10001",
    "456 oak avenue los angeles ca",
    "789 pine road chicago il 60601"
  ]
}
```

## Output

```json
{
  "originalAddress": {
    "label": "Original Address",
    "format": "text"
  },
  "street": {
    "label": "Street",
    "format": "text"
  },
  "district": {
    "label": "District",
    "format": "text"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "state": {
    "label": "State",
    "format": "text"
  },
  "postalCode": {
    "label": "Postal Code",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "normalizedAddress": {
    "label": "Normalized Address",
    "format": "text"
  },
  "timestamp": {
    "label": "Timestamp",
    "format": "datetime"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Address Normalizer](https://apify.com/parseforge/address-normalizer) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parseforge/address-normalizer) to learn more, explore other use cases, and run it yourself.