# Find Recent Seoul Restaurant Reviews on Naver

**Use case:** 

Find recent Korean-language Naver blog coverage of Seoul restaurants. Collect blog post titles, URLs, source names, snippets, and publish dates for restaurant marketers and food writers. Change searchQueries to explore another dining topic or location, and use sortBy to choose relevance or newest-first order.

## Input

```json
{
  "mode": "blogSearch",
  "searchQueries": [
    "서울 맛집 블로그 리뷰"
  ],
  "maxItems": 20,
  "maxItemsPerQuery": 20,
  "maxPagesPerQuery": 1,
  "sortBy": "date",
  "dateRange": "any",
  "includeAds": false,
  "includeContent": false,
  "includeSerpFeatures": false
}
```

## Output

```json
{
  "query": {
    "label": "Query"
  },
  "resultType": {
    "label": "Result type"
  },
  "rank": {
    "label": "Rank"
  },
  "title": {
    "label": "Title"
  },
  "url": {
    "label": "Url"
  },
  "date": {
    "label": "Date"
  },
  "sourceName": {
    "label": "Source name"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Naver Web, Blog, Cafe & News Results Scraper Actor is ready to run with the inputs already set for "Find Recent Seoul Restaurant Reviews on Naver". [Sign up or log in](https://console.apify.com/create-task-from-example/GQ36HXMRHlvzXdRTY) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find Recent Seoul Restaurant Reviews on Naver" task

The Naver Web, Blog, Cafe & News Results Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search mode, search queries, and more, to match your specific use case.

### 3. Receive the "Find Recent Seoul Restaurant Reviews on Naver" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as query, result type, rank, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find Recent Seoul Restaurant Reviews on Naver" task via API](https://apify.com/vexaloom-labs/naver-web-blog-cafe-and-news-results-scraper.md).

## FAQ

### What does the Seoul restaurant review data include?

The Seoul restaurant review task returns Naver blog result titles, URLs, source names, snippets, and dates, along with query, result type, and rank.

### How many recent Seoul restaurant reviews can one run return?

The Seoul restaurant review task is capped at 20 normal results across all queries and 20 per query; it may return fewer when results run out.

### How much does it cost to collect 20 Seoul restaurant reviews?

On the Free plan, the Seoul restaurant review task costs $0.10 to start plus up to $0.02 for 20 results, and Apify compute usage is additional.

### Can I export the Seoul restaurant review data to CSV or Excel?

After running the Seoul restaurant review task, download its dataset as CSV, Excel, JSON, XML, RSS, or an HTML table, or read it through the Apify API.

### How do I change the Seoul restaurant review search?

In the Seoul restaurant review task, replace the search phrase to explore another dining topic or location; choose relevance or newest-first ordering.

### Can I run the Seoul restaurant review task on a schedule or through an API?

You can run the Seoul restaurant review task on an Apify schedule, through the Apify API, or with integrations such as Zapier, Make, and n8n.

### Does the Seoul restaurant review task need a Naver login, cookies, or proxy?

The Seoul restaurant review task collects public Naver search results without a Naver login, cookies, or proxy configuration.

## About this Actor

This example demonstrates how to use [Naver Web, Blog, Cafe & News Results Scraper](https://apify.com/vexaloom-labs/naver-web-blog-cafe-and-news-results-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/naver-web-blog-cafe-and-news-results-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/vexaloom-labs/naver-web-blog-cafe-and-news-results-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`).