{ "openapi": "3.0.1", "info": { "title": "Naver Blog, Cafe & News Search Scraper (네이버 블로그·카페)", "description": "Enter keywords and get Naver Blog, Naver Cafe and Naver News search results as flat rows: title, URL, snippet, blog/cafe/publisher name and publish time. Date filters and an only-new-since-last-run monitoring mode. No API key, no shared daily quota. 네이버 블로그·카페 크롤링.", "version": "0.1", "x-build-id": "hneuorhF5lhtyhcj6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/magenta_courser~naver-blog-cafe-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-magenta_courser-naver-blog-cafe-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/magenta_courser~naver-blog-cafe-search-scraper/runs": { "post": { "operationId": "runs-sync-magenta_courser-naver-blog-cafe-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/magenta_courser~naver-blog-cafe-search-scraper/run-sync": { "post": { "operationId": "run-sync-magenta_courser-naver-blog-cafe-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Required. Search keywords, one per line, exactly as you would type them into Naver. Korean keywords return the most results, e.g. 올리브영 선크림 (Olive Young sunscreen), 제주 카페 (Jeju cafe), or a brand or product name. Each keyword is searched separately in every selected source.", "items": { "type": "string" } }, "sources": { "title": "Sources", "type": "array", "description": "Which Naver search tabs to read. Any of: blog (Naver Blog, also includes some external blogs such as Tistory), cafe (Naver Cafe community posts), news (Naver News articles). Default: [\"blog\", \"cafe\"].", "items": { "type": "string", "enum": [ "blog", "cafe", "news" ], "enumTitles": [ "Naver Blog", "Naver Cafe", "Naver News" ] }, "default": [ "blog", "cafe" ] }, "maxResultsPerKeyword": { "title": "Max results per keyword and source", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum rows for each keyword in each source (1-1000). Default 100. Example: 2 keywords x 2 sources x 100 = up to 400 rows. Naver lists about 1,000 results per search, so to go further back split the period with dateFrom/dateTo and run once per period.", "default": 100 }, "sort": { "title": "Sort", "enum": [ "recent", "relevance" ], "type": "string", "description": "Order of results: recent (newest first, default; required for monitoring to stop at the previous run) or relevance (Naver's relevance ranking).", "default": "recent" }, "dateFrom": { "title": "Published from", "type": "string", "description": "Optional. Only posts published on or after this date, Korea time, format YYYY-MM-DD, e.g. 2026-09-01. If only dateTo is set, dateFrom defaults to 2000-01-01." }, "dateTo": { "title": "Published to", "type": "string", "description": "Optional. Only posts published on or before this date, Korea time, format YYYY-MM-DD, e.g. 2026-09-15. If only dateFrom is set, dateTo defaults to today." }, "onlyNewSinceLastRun": { "title": "Only new posts since the last run", "type": "boolean", "description": "Monitoring mode. true = return only posts this Actor has not returned before for the same search (same keyword, source, sort and date range; remembered in the history store below). The first run returns the latest posts as usual. Use with sort recent and a schedule (e.g. daily). Best effort, not a guarantee of complete coverage: posts that Naver indexes later than lookbackHours after their publish time, or more new posts than maxResultsPerKeyword between runs, can be missed. Default false.", "default": false }, "lookbackHours": { "title": "Overlap with the previous run (hours)", "minimum": 0, "maximum": 720, "type": "integer", "description": "Only used when onlyNewSinceLastRun is true. Each run re-checks posts dated up to this many hours before the previous complete run started, so posts that appear in Naver search late are still returned once. Larger = fewer missed late posts, a few more pages read (pages are not charged, only returned rows). 0-720, default 48.", "default": 48 }, "historyStoreName": { "title": "History store name", "type": "string", "description": "Only used when onlyNewSinceLastRun is true. Name of the key-value store in your Apify account that remembers already returned posts. Inside it, every keyword + source + sort + date range has its own record, so different searches never share history. Use a separate name for each separate monitor, e.g. brand-monitor-daily, and do not run the same monitor twice at the same time (it can return some posts twice). Letters, digits and hyphens only, max 63 characters.", "default": "naver-search-monitor-history" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. The default Apify datacenter proxy works for Naver search. Switch to RESIDENTIAL with country KR only if the log shows repeated request errors.", "default": { "useApifyProxy": 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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }