# Naver Place Reviews — Korean Business Review Data (`huggable_quote/naver-place-reviews-scraper`) Actor Extract visitor reviews, ratings, keywords and visit details from Naver Place. Supports place URL and ID input. Korean sentiment analysis ready. From the #1 Naver data provider on Apify. - **URL**: https://apify.com/huggable\_quote/naver-place-reviews-scraper.md - **Developed by:** [OrbitData Labs](https://apify.com/huggable_quote) (community) - **Categories:** Travel, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. 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). # README ## Naver Place Reviews Scraper Extract **visitor reviews** and **blog reviews** from Naver Place — Korea's #1 local business platform. Cursor-based pagination with no server-side limit on visitor reviews. ### Features - **Visitor reviews**: cursor-based pagination, 50 per page, **no upper limit** on total reviews - **Blog reviews**: offset-based pagination, ~100 items per place (server-side cap) - **TLS fingerprinting**: `curl_cffi` with Chrome impersonation — bypasses bot detection - **Structured output**: voted keywords, visit counts, owner replies, star distribution - **Two input modes**: direct Place URL/ID or keyword search ### What you get #### Visitor review fields | Field | Description | |-------|-------------| | reviewText | Full review body (Korean) | | reviewRating | 1-5 stars | | reviewerName | Author nickname + profile URL + total review count | | reviewDate | Review creation date (YYYY-MM-DD) | | visitDate | Actual visit date | | visitCount | "2번째 방문" (2nd visit) | | votedKeywords | "음식이 맛있어요", "분위기가 좋아요", etc. | | reviewPhotos | Photo URLs (optional) | | reviewReplyText | Business owner's response | #### Blog review fields | Field | Description | |-------|-------------| | blogTitle | Blog post title | | blogContents | Post excerpt/contents | | blogUrl | Link to full blog post | | bloggerName | Blogger name | | blogDate | Post date | #### Aggregated statistics When `includeReviewStats` is enabled (default): - Total visitor reviews count - Average rating - Star rating distribution (5★, 4★, 3★, 2★, 1★) - Scraped visitor/blog review counts ### Input options #### Option 1: Direct Place URLs or IDs ```json { "placeUrls": [ "https://map.naver.com/v5/entry/place/37234567", "37234567" ], "maxReviewPages": 3 } ```` #### Option 2: Search by keyword ```json { "searchKeywords": ["강남 맛집", "Seoul BBQ"], "maxPlacesPerKeyword": 5, "maxReviewPages": 1 } ``` #### Full input example ```json { "placeUrls": ["37234567"], "maxReviewPages": 10, "reviewSort": "NEWEST", "includeBlogReviews": true, "maxBlogReviewPages": 10, "includeReviewPhotos": false, "includeReviewStats": true } ``` #### Pagination guide | maxReviewPages | Reviews collected | |---------------|-------------------| | 1 | ~50 | | 3 | ~150 | | 10 | ~500 | | 50 | ~2,500 | | 100 | ~5,000 | ### Output format #### Visitor review ```json { "reviewType": "visitor", "placeId": "37234567", "placeName": "맛있는 식당", "placeCategory": "음식점", "placeAddress": "서울특별시 강남구 ...", "placeRating": 4.52, "placeTotalReviews": 3162, "placeUrl": "https://pcmap.place.naver.com/place/37234567", "reviewId": "abc123", "reviewText": "정말 맛있었어요! 분위기도 좋고 서비스도 훌륭합니다.", "reviewRating": 5, "reviewerName": "맛집탐험가", "reviewerProfileUrl": "https://m.place.naver.com/my/...", "reviewerReviewCount": 42, "reviewDate": "2026-05-15", "visitDate": "2026-05-10", "visitCount": "2번째 방문", "votedKeywords": ["음식이 맛있어요", "분위기가 좋아요"], "reviewPhotos": null, "reviewReplyText": "감사합니다! 또 방문해주세요.", "reviewReplyDate": "2026-05-16", "searchKeyword": null, "language": "ko", "scrapedAt": "2026-05-17T12:00:00.000Z" } ``` #### Blog review ```json { "reviewType": "blog", "placeId": "37234567", "placeName": "맛있는 식당", "blogTitle": "강남 맛집 탐방기", "blogContents": "오늘은 강남에 위치한...", "blogUrl": "https://blog.naver.com/...", "bloggerName": "맛집블로거", "bloggerHome": "https://blog.naver.com/blogger123", "blogDate": "2026-05-10", "blogThumbnailUrl": "https://...", "isRepresentative": false, "scrapedAt": "2026-05-17T12:00:00.000Z" } ``` ### Technical details - **HTTP client**: `curl_cffi` with TLS fingerprinting (`impersonate="chrome"`) - **Visitor review pagination**: cursor-based via `after` parameter (not page-based) - **Blog review pagination**: offset-based (`page` + `display=10`) - **Rate limiting**: automatic retry with exponential backoff on HTTP 429 - **Deduplication**: `reviewId`-based dedup for visitor reviews, `id`-based for blog reviews ### Use cases - Korean market entry research — what do locals say about competitors? - Restaurant/cafe competitive intelligence - Customer sentiment analysis (NLP-ready structured data) - Brand reputation monitoring in Korea - Academic research on Korean consumer behavior ### Korea Data Suite by huggable\_quote | Actor | Description | |-------|-------------| | [Naver Map](https://apify.com/huggable_quote/naver-map-scraper) | Business listings & details | | [Naver Blog](https://apify.com/huggable_quote/naver-blog-scraper) | Blog posts & content | | [Naver Shopping](https://apify.com/huggable_quote/naver-shopping-scraper) | Product data & prices | | [Naver News](https://apify.com/huggable_quote/naver-news-scraper) | News articles & headlines | | **Naver Place Reviews** | **This actor** | | [KRX Stock](https://apify.com/huggable_quote/krx-stock-scraper) | Korean stock market data | # Actor input Schema ## `placeUrls` (type: `array`): Naver Place URLs or Place IDs. Examples: 'https://map.naver.com/v5/entry/place/37234567' or just '37234567' ## `searchKeywords` (type: `array`): Search keywords to find places, then scrape their reviews. Example: \['강남 맛집', 'Seoul BBQ'] ## `maxPlacesPerKeyword` (type: `integer`): Maximum number of places per keyword search ## `maxReviewPages` (type: `integer`): Number of visitor review pages to scrape per place (50 reviews per page). Set to 1 for 50 reviews, 10 for 500, etc. No server-side limit. ## `reviewSort` (type: `string`): Sort order for visitor reviews ## `includeBlogReviews` (type: `boolean`): Also scrape blog reviews (Naver Blog posts linked to the place) ## `maxBlogReviewPages` (type: `integer`): Number of blog review pages per place (10 items per page). Server limits to ~100 items total. ## `includeReviewPhotos` (type: `boolean`): Include photo URLs attached to each visitor review ## `includeReviewStats` (type: `boolean`): Include aggregated stats (rating distribution, total counts) per place ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended to avoid rate limiting. ## Actor input object example ```json { "maxPlacesPerKeyword": 5, "maxReviewPages": 1, "reviewSort": "NEWEST", "includeBlogReviews": true, "maxBlogReviewPages": 10, "includeReviewPhotos": false, "includeReviewStats": true } ``` # Actor output Schema ## `reviews` (type: `string`): All extracted visitor reviews, blog reviews, and statistics. Use reviewType field to filter: visitor, blog, or stats. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("huggable_quote/naver-place-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("huggable_quote/naver-place-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call huggable_quote/naver-place-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=huggable_quote/naver-place-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver Place Reviews — Korean Business Review Data", "description": "Extract visitor reviews, ratings, keywords and visit details from Naver Place. Supports place URL and ID input. Korean sentiment analysis ready. From the #1 Naver data provider on Apify.", "version": "0.3", "x-build-id": "MIWjnaxqTYWF3amFt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/huggable_quote~naver-place-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-huggable_quote-naver-place-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/huggable_quote~naver-place-reviews-scraper/runs": { "post": { "operationId": "runs-sync-huggable_quote-naver-place-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/huggable_quote~naver-place-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-huggable_quote-naver-place-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "placeUrls": { "title": "Place URLs or IDs", "type": "array", "description": "Naver Place URLs or Place IDs. Examples: 'https://map.naver.com/v5/entry/place/37234567' or just '37234567'", "items": { "type": "string" } }, "searchKeywords": { "title": "Search Keywords", "type": "array", "description": "Search keywords to find places, then scrape their reviews. Example: ['강남 맛집', 'Seoul BBQ']", "items": { "type": "string" } }, "maxPlacesPerKeyword": { "title": "Max places per keyword", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of places per keyword search", "default": 5 }, "maxReviewPages": { "title": "Max review pages", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Number of visitor review pages to scrape per place (50 reviews per page). Set to 1 for 50 reviews, 10 for 500, etc. No server-side limit.", "default": 1 }, "reviewSort": { "title": "Review sort order", "enum": [ "NEWEST", "RANKING" ], "type": "string", "description": "Sort order for visitor reviews", "default": "NEWEST" }, "includeBlogReviews": { "title": "Include blog reviews", "type": "boolean", "description": "Also scrape blog reviews (Naver Blog posts linked to the place)", "default": true }, "maxBlogReviewPages": { "title": "Max blog review pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of blog review pages per place (10 items per page). Server limits to ~100 items total.", "default": 10 }, "includeReviewPhotos": { "title": "Include review photos", "type": "boolean", "description": "Include photo URLs attached to each visitor review", "default": false }, "includeReviewStats": { "title": "Include review statistics", "type": "boolean", "description": "Include aggregated stats (rating distribution, total counts) per place", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Recommended to avoid rate limiting." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```