# Hongdae cafe reviews with photos from Naver

**Use case:** 

Searches Naver Place for 홍대 카페 (Hongdae cafes), takes the top 5 places, and pulls up to 5 pages (~250) of visitor reviews per cafe, including attached review photo URLs and rating statistics. Blog reviews are skipped. Change searchKeywords for any neighborhood or cafe style.

## Input

```json
{
  "placeUrls": [
    "https://map.naver.com/p/entry/place/11571707"
  ],
  "startUrls": [],
  "searchKeywords": [
    "홍대 카페"
  ],
  "maxPlacesPerKeyword": 5,
  "maxReviewPages": 5,
  "reviewSort": "NEWEST",
  "includeReviewPhotos": true,
  "includeBlogReviews": false,
  "maxBlogReviewPages": 2,
  "includeReviewStats": true,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "reviewType": {
    "label": "Type",
    "format": "text"
  },
  "placeId": {
    "label": "Place ID",
    "format": "text"
  },
  "placeName": {
    "label": "Place",
    "format": "text"
  },
  "placeCategory": {
    "label": "Category",
    "format": "text"
  },
  "placeRating": {
    "label": "Place Rating",
    "format": "number"
  },
  "reviewText": {
    "label": "Review",
    "format": "text"
  },
  "reviewRating": {
    "label": "Rating",
    "format": "number"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "text"
  },
  "reviewDate": {
    "label": "Review Date",
    "format": "text"
  },
  "visitDate": {
    "label": "Visit Date",
    "format": "text"
  },
  "votedKeywords": {
    "label": "Voted Keywords",
    "format": "object"
  },
  "blogTitle": {
    "label": "Blog Title",
    "format": "text"
  },
  "blogUrl": {
    "label": "Blog URL",
    "format": "link"
  },
  "bloggerName": {
    "label": "Blogger",
    "format": "text"
  },
  "blogDate": {
    "label": "Blog Date",
    "format": "text"
  },
  "placeUrl": {
    "label": "Place URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [NAVER Place Review Scraper](https://apify.com/parsebird/naver-place-review-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parsebird/naver-place-review-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/parsebird/naver-place-review-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).