# Collect Nextdoor City Page Data

**Use case:** 

Collect public details from a Nextdoor city page. The overview dataset keeps city details, source URLs, and quality status. Add city page URLs, leave linked pages off for a focused collection, and set Maximum items to keep the run shorter.

## Input

```json
{
  "target": "cityPages",
  "businessPageUrls": [
    {
      "url": "https://nextdoor.com/pages/near-best-plumber-west-hollywood-ca/"
    }
  ],
  "cityPageUrls": [
    {
      "url": "https://nextdoor.com/city/north-miami--fl/"
    }
  ],
  "followLinkedPages": false,
  "maxItems": 1
}
```

## Output

```json
{
  "resultType": {
    "label": "Result type",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "string"
  },
  "qualityStatus": {
    "label": "Quality status",
    "format": "string"
  },
  "discoveredFrom": {
    "label": "Discovered from",
    "format": "string"
  },
  "business": {
    "label": "Business",
    "format": "object"
  },
  "city": {
    "label": "City",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Nextdoor Business Scraper](https://apify.com/maximedupre/nextdoor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/nextdoor.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/maximedupre/nextdoor.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).