# Naver News Search & Trends (Korea) — naver-trends-news (`nexgendata/naver-trends-news`) Actor - **URL**: https://apify.com/nexgendata/naver-trends-news.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 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 Trends & News (Korea) Scrape **Naver** — Korea's dominant portal (search + news + shopping rolled into one) — for **news-search results** and **DataLab shopping trends**. 100% **key-free**: no Naver Open API client-id/secret, no login. All data is public and fetched HTTP-first (no browser), so it's fast and cheap. ### Two modes #### `news` (default) Searches Naver News for each keyword in `queries` (Korean or English) and returns, per article: | field | description | |-------|-------------| | `title` | Article headline | | `press` | Publisher / press name (e.g. 연합뉴스, 뉴스1, 파이낸셜뉴스) | | `published_at` | ISO 8601 timestamp (relative "N시간 전" / absolute dates normalised to UTC) | | `published_raw` | Original Naver time string | | `url` | The **real publisher article URL** (Naver already resolves it — no redirect hop) | | `naver_url` | Naver-news mirror link when present | | `snippet` | Result snippet / description | | `query` | The keyword this article matched | Optional `sort`: `relevance` (default) or `date` (most recent first). Articles are de-duplicated by URL. #### `trends` Pulls **Naver DataLab Shopping-Insight** top trending shopping keywords per category. Per keyword: | field | description | |-------|-------------| | `keyword` | Trending shopping keyword | | `rank` | Rank within the category | | `category` | Category label | | `category_id` | DataLab category id (cid) | | `period` | Date range the ranking covers | Set `categories` to one or more DataLab cids (default `50000000` = All). Examples: `50000003` Beauty, `50000004` Digital/Appliances, `50000007` Food, `50000008` Living/Health. ### Input ```json { "mode": "news", "queries": ["삼성", "비트코인"], "sort": "relevance", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true } } ```` For trends: ```json { "mode": "trends", "categories": ["50000000", "50000003"], "maxItems": 40 } ``` ### Optional: deliver to Notion Supply a Notion MCP connector (`notionConnector`) and the same run also writes a summary page to your Notion workspace — the Actor never sees your Notion credentials. Authorize a Notion connector in Apify Console → Settings → API & Integrations first. ### Notes - All data is public; no credentials of any kind are required. - Korea generally allows datacenter IPs, so the default Apify proxy works; residential is used as an automatic fallback. - One dataset item is pushed per article / per trend keyword. # Actor input Schema ## `mode` (type: `string`): What to collect. 'news' = Naver news-search results for your keywords (default). 'trends' = Naver DataLab Shopping-Insight top trending shopping keywords per category. ## `queries` (type: `array`): Keywords to search Naver News for. Korean or English both work (e.g. 삼성, 비트코인, Samsung, Korea economy). One Naver search page is fetched per keyword. Required when mode = news. ## `categories` (type: `array`): DataLab shopping category IDs (cid) to pull trending keywords from. Defaults to 50000000 (All). Examples: 50000003 Beauty, 50000004 Digital/Appliances, 50000007 Food, 50000008 Living/Health. Only used when mode = trends. ## `sort` (type: `string`): How Naver orders news results: 'relevance' (default) or 'date' (most recent first). ## `maxItems` (type: `integer`): Hard cap on the total number of dataset items (articles or trend keywords) across all queries/categories. 1-1000. ## `proxyConfiguration` (type: `object`): Proxy used for requests. Korea generally allows datacenter, so the default Apify proxy is usually fine; residential is used as an automatic fallback. Recommended to leave the default ON. ## `notionConnector` (type: `string`): Optional. Connect your Notion workspace and the results are also written as a Notion page in the same run — the Actor never sees your Notion credentials. Authorize a Notion MCP connector in Apify Console -> Settings -> API & Integrations, then select it here. ## `notionParentId` (type: `string`): Optional. The Notion page ID to create the page under. If blank, Notion creates a private page in your workspace. ## `supabaseConnector` (type: `string`): Optional. Connect your own Supabase project and the results are also inserted into a table in the same run — the Actor never sees your Supabase credentials. Authorize a write-scoped, project-scoped Supabase MCP connector in Apify Console (Settings -> Integrations), then select it here. ## `supabaseTable` (type: `string`): Target table in the public schema (created if missing). Default: nexgendata\_leads. ## `supabaseProjectId` (type: `string`): Your Supabase project reference (e.g. abcdefghijklmnop). Required unless your connector URL is already project-scoped. Find it in your project URL: supabase.com/dashboard/project/THIS\_PART. ## `deliveryDedup` (type: `boolean`): When on (default), records already delivered in a previous run are not delivered again to the same destination — so scheduled runs only push new items. Turn off to deliver every record on every run. ## Actor input object example ```json { "mode": "news", "queries": [ "삼성", "비트코인" ], "categories": [ "50000000" ], "sort": "relevance", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true }, "supabaseTable": "nexgendata_leads", "deliveryDedup": true } ``` # 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 = { "mode": "news", "queries": [ "삼성", "비트코인" ], "categories": [ "50000000" ], "sort": "relevance", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/naver-trends-news").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 = { "mode": "news", "queries": [ "삼성", "비트코인", ], "categories": ["50000000"], "sort": "relevance", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/naver-trends-news").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 '{ "mode": "news", "queries": [ "삼성", "비트코인" ], "categories": [ "50000000" ], "sort": "relevance", "maxItems": 20, "proxyConfiguration": { "useApifyProxy": true } }' | apify call nexgendata/naver-trends-news --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/naver-trends-news", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver News Search & Trends (Korea) — naver-trends-news", "version": "0.0", "x-build-id": "kwFnsNPcLm1A5vLWu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~naver-trends-news/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-naver-trends-news", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~naver-trends-news/runs": { "post": { "operationId": "runs-sync-nexgendata-naver-trends-news", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~naver-trends-news/run-sync": { "post": { "operationId": "run-sync-nexgendata-naver-trends-news", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "news", "trends" ], "type": "string", "description": "What to collect. 'news' = Naver news-search results for your keywords (default). 'trends' = Naver DataLab Shopping-Insight top trending shopping keywords per category.", "default": "news" }, "queries": { "title": "Search keywords (news mode)", "type": "array", "description": "Keywords to search Naver News for. Korean or English both work (e.g. 삼성, 비트코인, Samsung, Korea economy). One Naver search page is fetched per keyword. Required when mode = news.", "items": { "type": "string" } }, "categories": { "title": "Shopping categories (trends mode)", "type": "array", "description": "DataLab shopping category IDs (cid) to pull trending keywords from. Defaults to 50000000 (All). Examples: 50000003 Beauty, 50000004 Digital/Appliances, 50000007 Food, 50000008 Living/Health. Only used when mode = trends.", "items": { "type": "string" } }, "sort": { "title": "Sort order (news mode)", "enum": [ "relevance", "date" ], "type": "string", "description": "How Naver orders news results: 'relevance' (default) or 'date' (most recent first).", "default": "relevance" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on the total number of dataset items (articles or trend keywords) across all queries/categories. 1-1000.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used for requests. Korea generally allows datacenter, so the default Apify proxy is usually fine; residential is used as an automatic fallback. Recommended to leave the default ON.", "default": { "useApifyProxy": true } }, "notionConnector": { "title": "Deliver to Notion (optional)", "type": "string", "description": "Optional. Connect your Notion workspace and the results are also written as a Notion page in the same run — the Actor never sees your Notion credentials. Authorize a Notion MCP connector in Apify Console -> Settings -> API & Integrations, then select it here." }, "notionParentId": { "title": "Notion parent page ID (optional)", "type": "string", "description": "Optional. The Notion page ID to create the page under. If blank, Notion creates a private page in your workspace." }, "supabaseConnector": { "title": "Deliver to Supabase (optional)", "type": "string", "description": "Optional. Connect your own Supabase project and the results are also inserted into a table in the same run — the Actor never sees your Supabase credentials. Authorize a write-scoped, project-scoped Supabase MCP connector in Apify Console (Settings -> Integrations), then select it here." }, "supabaseTable": { "title": "Supabase table name (optional)", "type": "string", "description": "Target table in the public schema (created if missing). Default: nexgendata_leads.", "default": "nexgendata_leads" }, "supabaseProjectId": { "title": "Supabase project ID (optional)", "type": "string", "description": "Your Supabase project reference (e.g. abcdefghijklmnop). Required unless your connector URL is already project-scoped. Find it in your project URL: supabase.com/dashboard/project/THIS_PART." }, "deliveryDedup": { "title": "Deduplicate deliveries across runs", "type": "boolean", "description": "When on (default), records already delivered in a previous run are not delivered again to the same destination — so scheduled runs only push new items. Turn off to deliver every record on every run.", "default": true } } }, "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 } } } } } } } } } } ```