# Naver Blog & Cafe Scraper (`huggable_quote/naver-blog-cafe-scraper`) Actor Scrapes Naver Blog and Cafe posts with full content, comments, metadata, and engagement metrics. Supports keyword search and direct URL scraping. - **URL**: https://apify.com/huggable\_quote/naver-blog-cafe-scraper.md - **Developed by:** [OrbitData Labs](https://apify.com/huggable_quote) (community) - **Categories:** SEO tools, Social media, Other - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 Blog & Cafe Scraper An [Apify](https://apify.com) actor that scrapes posts, comments, place information, and metadata from Naver Blog and Cafe. ### Features - **Keyword Search**: Search blog/cafe posts using the Naver Search API - **Direct URL Scraping**: Provide specific Naver Blog or Cafe post URLs for detailed scraping - **Full Content Extraction**: Extract complete text and HTML content from posts - **Image Collection**: Collect all image URLs embedded in posts - **Place/Map Data**: Extract place names, addresses, phone numbers, and GPS coordinates from posts - **External Link Extraction**: Collect external link card data (OG links) embedded in posts - **Comment Count**: Retrieve the number of comments on each post - **Engagement Metrics**: Collect like/sympathy counts - **Video Detection**: Detect whether a post contains video content - **Metadata**: Author, date, category, tags, and more ### Output Data | Field | Type | Description | |-------|------|-------------| | `type` | string | `blog` or `cafe` | | `title` | string | Post title | | `url` | string | Post URL | | `author` | string | Author name | | `date` | string | Published date | | `content` | string | Full text content | | `contentHtml` | string | Raw HTML content | | `images` | string[] | List of image URLs | | `tags` | string[] | Hashtags/tags | | `category` | string | Post category | | `likeCount` | number | Number of likes/sympathies | | `commentCount` | number | Number of comments | | `places` | object[] | Place info (name, address, phone, category, latitude, longitude) | | `externalLinks` | object[] | External links (title, description, URL) | | `hasVideo` | boolean | Whether the post contains video | | `cafeName` | string | Cafe name (cafe posts only) | | `cafeUrl` | string | Cafe URL (cafe posts only) | | `scrapedAt` | string | Scrape timestamp (ISO 8601) | ### Usage Enter keywords to search Naver Blog/Cafe, or provide direct URLs to scrape specific posts. No separate API key setup is required — just run the actor. #### Input Example ```json { "searchKeywords": ["best restaurants", "Seoul cafe"], "directUrls": ["https://blog.naver.com/example/123456"], "searchType": "both", "maxResults": 30, "sortBy": "sim", "scrapeContent": true, "scrapeComments": true, "maxConcurrency": 5 } ```` #### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchKeywords` | string\[] | `[]` | List of search keywords | | `directUrls` | string\[] | `[]` | Direct post URLs to scrape | | `searchType` | string | `both` | Search target: `blog`, `cafe`, or `both` | | `maxResults` | number | `30` | Max search results per keyword (up to 1000) | | `sortBy` | string | `sim` | Sort order: `sim` (relevance) or `date` (newest first) | | `scrapeContent` | boolean | `true` | Whether to scrape full post content | | `scrapeComments` | boolean | `true` | Whether to collect comment data | | `maxConcurrency` | number | `5` | Max concurrent scraping requests | #### Output Example ```json { "type": "blog", "title": "Top 10 Restaurants in Gangnam, Seoul", "url": "https://blog.naver.com/foodie123/223456789", "author": "FoodExplorer", "authorLink": "https://blog.naver.com/foodie123", "date": "2025-01-15", "content": "Hello! Today I'm introducing must-visit restaurants in Gangnam...", "images": ["https://blogfiles.pstatic.net/..."], "tags": ["GangnamFood", "SeoulRestaurant", "FoodRecommendation"], "category": "Food/Travel", "likeCount": 142, "commentCount": 23, "places": [ { "name": "Restaurant ABC", "address": "123 Yeoksam-dong, Gangnam-gu, Seoul", "tel": "02-1234-5678", "category": "Restaurant", "latitude": "37.5012", "longitude": "127.0396" } ], "externalLinks": [ { "title": "Reservation Page", "description": "Book online", "url": "https://example.com/reservation" } ], "hasVideo": false, "comments": [], "scrapedAt": "2025-01-20T10:30:00.000Z" } ``` ### Use Cases - **Market Research**: Analyze consumer reviews and place data for specific keywords or products - **Trend Analysis**: Track popular topics and keywords over time - **Restaurant/Place Collection**: Automatically extract place names, addresses, phone numbers, and GPS coordinates from blog reviews - **Competitor Analysis**: Monitor online sentiment about competing brands - **Influencer Discovery**: Find influential bloggers in specific niches - **Content Analysis**: Analyze patterns of images, videos, and external links in posts ### Limitations - Naver Search API daily limit: 25,000 calls - Max search results per keyword: 1,000 (Naver API limit) - Private cafe posts cannot be scraped - Blog comment content is not available via API (only comment count is provided) - Some content may be restricted due to Naver's access control policies ### License ISC # Actor input Schema ## `searchKeywords` (type: `array`): Keywords to search for on Naver Blog and Cafe. Each keyword will be searched separately. ## `directUrls` (type: `array`): Direct Naver Blog or Cafe post URLs to scrape. Supports blog.naver.com and cafe.naver.com URLs. ## `searchType` (type: `string`): Which Naver service to search. ## `maxResults` (type: `integer`): Maximum number of search results to process per keyword (max 1000). ## `sortBy` (type: `string`): How to sort search results. ## `scrapeContent` (type: `boolean`): Whether to visit each post URL and scrape full content. If false, only search result data is returned. ## `scrapeComments` (type: `boolean`): Whether to scrape comments from each post. Requires 'Scrape Full Content' to be enabled. ## `proxyConfiguration` (type: `object`): Proxy settings for web scraping. Recommended for large-scale scraping. ## `maxConcurrency` (type: `integer`): Maximum number of pages to scrape concurrently. ## Actor input object example ```json { "searchKeywords": [ "best restaurants" ], "directUrls": [], "searchType": "both", "maxResults": 30, "sortBy": "sim", "scrapeContent": true, "scrapeComments": true, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 5 } ``` # 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 = { "searchKeywords": [ "best restaurants" ], "directUrls": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("huggable_quote/naver-blog-cafe-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 = { "searchKeywords": ["best restaurants"], "directUrls": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("huggable_quote/naver-blog-cafe-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 '{ "searchKeywords": [ "best restaurants" ], "directUrls": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call huggable_quote/naver-blog-cafe-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=huggable_quote/naver-blog-cafe-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver Blog & Cafe Scraper", "description": "Scrapes Naver Blog and Cafe posts with full content, comments, metadata, and engagement metrics. Supports keyword search and direct URL scraping.", "version": "1.0", "x-build-id": "65oku6xqxj3nWg9ES" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/huggable_quote~naver-blog-cafe-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-huggable_quote-naver-blog-cafe-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-blog-cafe-scraper/runs": { "post": { "operationId": "runs-sync-huggable_quote-naver-blog-cafe-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-blog-cafe-scraper/run-sync": { "post": { "operationId": "run-sync-huggable_quote-naver-blog-cafe-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": { "searchKeywords": { "title": "Search Keywords", "type": "array", "description": "Keywords to search for on Naver Blog and Cafe. Each keyword will be searched separately.", "items": { "type": "string" } }, "directUrls": { "title": "Direct URLs", "type": "array", "description": "Direct Naver Blog or Cafe post URLs to scrape. Supports blog.naver.com and cafe.naver.com URLs.", "items": { "type": "string" } }, "searchType": { "title": "Search Type", "enum": [ "blog", "cafe", "both" ], "type": "string", "description": "Which Naver service to search.", "default": "both" }, "maxResults": { "title": "Max Results Per Keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of search results to process per keyword (max 1000).", "default": 30 }, "sortBy": { "title": "Sort By", "enum": [ "sim", "date" ], "type": "string", "description": "How to sort search results.", "default": "sim" }, "scrapeContent": { "title": "Scrape Full Content", "type": "boolean", "description": "Whether to visit each post URL and scrape full content. If false, only search result data is returned.", "default": true }, "scrapeComments": { "title": "Scrape Comments", "type": "boolean", "description": "Whether to scrape comments from each post. Requires 'Scrape Full Content' to be enabled.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for web scraping. Recommended for large-scale scraping." }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of pages to scrape concurrently.", "default": 5 } } }, "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 } } } } } } } } } } ```