# Naver Cafe Scraper: Community Search, Posts & Boards (`scrapingmonkey/naver-cafe-scraper`) Actor Search Naver Cafe communities and posts, collect public community or board listings, and extract publicly readable articles. Export names, descriptions, member counts, post text, images and author details for Korean community research. - **URL**: https://apify.com/scrapingmonkey/naver-cafe-scraper.md - **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. 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 examples already wired to this Actor's own input schema, see the [API](#api) section below. 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`). # README **Naver Cafe Scraper** helps you discover Naver Cafe communities and research the posts available to visitors. Search across cafes, review community profiles or collect a public boardโ€™s post list, then inspect readable posts with text and images for Korean community and consumer research. Find communities and discussions around a market or interest, compare cafe descriptions and review readable posts. Organize the results into a focused source list for community and product research. | At a glance | Details | |---|---| | ๐Ÿ“ฅ Input | Search fields or links to the selected items; see the examples below | | ๐Ÿ“ค Output | One row per post or community, depending on the mode | | ๐Ÿ“„ Pagination | Automatic up to `maxResults` for each input, when more results are available | | ๐Ÿ” Login required | No | | โšก Processing | Multiple inputs per run with automatic retries for temporary errors | | ๐Ÿ’พ Delivery | One complete Apify dataset table; CSV, JSON and Excel export | ### What the Naver Cafe scraper collects ๐Ÿ“ฑ Search Naver Cafe communities and posts, collect public community or board listings, and extract publicly readable articles. Export names, descriptions, member counts, post text, images and author details for Korean community research. | Collection | What you receive | |---|---| | Naver Cafe post search scraper | Search Naver Cafe posts across communities. Export titles, public search snippets, source cafes, dates, images and links. | | Naver Cafe community profiles scraper | Get public Naver Cafe details including the community name, description, canonical address and images. | | Naver Cafe public post text scraper | Extract complete publicly readable Naver Cafe posts with text, HTML, images, outbound links, authors and visible counters. | | Naver Cafe board posts scraper | Collect the public post list of a Naver Cafe community or section. Export summaries, authors, dates and visible engagement counts. | | Naver Cafe community search scraper | Find Naver Cafe communities by keyword. Export community names, descriptions, categories, regions and public member and post counts. | Data can include: - Communities: Cafe names, descriptions, source links and images. - Community context: Available categories, regions, member counts and post counts. - Search results: Post titles, public snippets, source cafes and dates. - Board listings: Post summaries, authors and visible engagement counts. - Readable posts: Available full text, content markup and authors. - Attachments: Images and outbound links exposed in public posts. ### How to scrape Naver Cafe ๐Ÿš€ 1. Choose **Post Search** in **What to collect**, or select another collection mode. 2. Fill in the search fields, or paste links to the items you want to collect. 3. Set the maximum results and any optional filters. 4. Start the Actor and review the collected rows. 5. Export the dataset or connect it to your application. #### Naver Cafe post search scraper โ€” input example ```json { "mode": "post_search", "searchQueries": [ "์—ฌํ–‰" ], "maxResults": 10 } ``` `maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1. #### Naver Cafe community profiles scraper โ€” input example ```json { "mode": "cafe_card", "cafeUrls": [ "https://cafe.naver.com/joonggonara" ], "maxResults": 10 } ``` #### Naver Cafe public post text scraper โ€” input example ```json { "mode": "post_card", "postUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326" ], "maxResults": 10 } ``` #### Naver Cafe board posts scraper โ€” input example ```json { "mode": "board_posts", "boardUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/menus/1256" ], "maxResults": 10 } ``` #### Naver Cafe community search scraper โ€” input example ```json { "mode": "cafe_search", "searchQueries": [ "์—ฌํ–‰" ], "maxResults": 10 } ``` ### Naver Cafe data fields and complete output ๐Ÿ“ฆ | Field group | Included data | |---|---| | Communities | Cafe names, descriptions, source links and images. | | Community context | Available categories, regions, member counts and post counts. | | Search results | Post titles, public snippets, source cafes and dates. | | Board listings | Post summaries, authors and visible engagement counts. | | Readable posts | Available full text, content markup and authors. | | Attachments | Images and outbound links exposed in public posts. | Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty. A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change. #### Naver Cafe post search scraper โ€” complete JSON result ```json { "result_type": "post_search", "input": "์—ฌํ–‰", "status": "success", "id": "29349320:448290", "cafe_id": "29349320", "url": "https://cafe.naver.com/wgang/448290", "post_id": "448290", "menu_id": "13", "title": "ํ•ด์™ธ์—ฌํ–‰ ๊ฐ€์‹ค๋•Œ ํŒจํ‚ค์ง€? ์ž์œ ?์–ด๋–ป๊ฒŒ๊ฐ€์„ธ์š”?", "cafe_name": "[์šฐ๊ฐฑ] ์šฐ์•„ํ•œ ๊ฐฑ๋…„๊ธฐ(40๋Œ€ 50๋Œ€ ์—ฌ์„ฑ ์ปค๋ฎค๋‹ˆํ‹ฐ/์„ฑํ˜•/ํŒจ์…˜/๋ทฐํ‹ฐ)", "cafe_slug": "wgang", "snippet": "์š”์ฆ˜ ์‹œ๊ธฐ๋‹ค๋ณด๋‹ˆ ๋ฐฉ์†ก์— ํ•ด์™ธ์—ฌํ–‰์ด ๋งŽ์ด๋‚˜์˜ค๋„ค์š”. ์—ฌํ–‰ ์–ด๋–ป๊ฒŒ ๊ณ„ํšํ•˜์„ธ์š”? ํŒจํ‚ค์ง€๊ทธ๋ƒฅ์˜ˆ์•ฝ. ์•„๋‹˜ ์ž์œ ์—ฌํ–‰์œผ๋กœ ๊ณ„ํš? ์ „ ์†”์งํžˆ ํ˜ผ์ž๊ฐ€๋ฉด ์ž์œ ์—ฌํ–‰๊ฐˆ๊บผ๊ฐ™์€๋ฐ ๊ฐ€์กฑ์ด๋ž‘ ๊ฐ€๋ ค๋ฉด ๊ฐ„์‹ ํžˆ ์‹œ์ผœ์•ˆ ์ฐพ์•„๋ณด๋Š”์ฒ™!๋งŒํ•˜๊ณ ...", "published_date_raw": "2026.09.06.", "image_count": 0, "thumbnail_urls": [] } ``` #### Naver Cafe community profiles scraper โ€” complete JSON result ```json { "result_type": "cafe_card", "input": "10050146", "status": "success", "id": "10050146", "cafe_id": "10050146", "slug": "joonggonara", "url": "https://cafe.naver.com/joonggonara", "name": "์ค‘๊ณ ๋‚˜๋ผ", "introduction": "๊ฑฐ๋ž˜ ์ƒํ’ˆ์€ ์•ฑ์—์„œ๋งŒ ๋“ฑ๋ก๋˜๋ฉฐ ์นดํŽ˜์™€ ์‚ฌ์ดํŠธ์— ๋…ธ์ถœ๋ฉ๋‹ˆ๋‹ค.", "is_power_cafe": true, "image_url": "https://cafeptthumb-phinf.pstatic.net/MjAyMzA1MjVfMTkx/MDAxNjg0OTgzNzM0MDk3.1vPCs_txao5shn_eFMSdr1XkuJmADmQ--qAqAzAycscg.HnwLC_x51hL6Lh0YijcpFGCZozS9fcgLRvwpVm6B_8Yg.PNG/Icon-58X583x.png", "mobile_image_url": "https://cafeptthumb-phinf.pstatic.net/MjAyMzA1MjVfMTkx/MDAxNjg0OTgzNzM0MDk3.1vPCs_txao5shn_eFMSdr1XkuJmADmQ--qAqAzAycscg.HnwLC_x51hL6Lh0YijcpFGCZozS9fcgLRvwpVm6B_8Yg.PNG/Icon-58X583x.png" } ``` #### Naver Cafe public post text scraper โ€” complete JSON result ```json { "result_type": "post_card", "input": "10050146/1133411326", "status": "success", "id": "10050146:1133411326", "cafe_id": "10050146", "url": "https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326", "post_id": "1133411326", "menu_id": "1257", "title": "์ด๋ฒˆ ์ฃผ๋ง, ๋งˆ์Œ ๋”ฐ๋œปํ•ด์งˆ ๋“œ๋ผ๋งˆ ์ถ”์ฒœ", "text": "์ด๋ฒˆ ์ฃผ๋ง, ๋”ฐ๋œปํ•œ ์ด์•ผ๊ธฐ ํ•œ ํŽธ ์–ด๋– ์„ธ์š”?\n๊ฐ€์กฑ์ด๋ผ์„œ ๋” ๋ฏธ์•ˆํ–ˆ๊ณ ,\n๊ฐ€์กฑ์ด๋ผ์„œ ๋” ์‚ฌ๋ž‘ํ–ˆ๋˜ ์ˆœ๊ฐ„์ด ์žˆ์œผ์…จ๋‚˜์š”?\nโ€‹\nKBS2 ์ฃผ๋ง๋“œ๋ผ๋งˆ ใ€ˆ์‚ฌ๋ž‘์ด ์˜จ๋‹คใ€‰๋Š”\n๊นจ์ง„ ๊ฐ€์กฑ์˜ ํŒŒํŽธ์„ ๋ชจ์•„\n์„ธ์ƒ์—์„œ ๊ฐ€์žฅ ๋”ฐ๋œปํ•œ ์ธ์ƒ ํ•œ ์ƒ์„ ์ฐจ๋ ค๋‚ด๋Š”\n๋‘ ๋‚จ๋…€์˜ ์ด์•ผ๊ธฐ๋ฅผ ๋‹ด์€ ํŒจ๋ฐ€๋ฆฌ ๋“œ๋ผ๋งˆ์ž…๋‹ˆ๋‹ค.\nโ€‹\n์›ƒ์Œ๊ณผ ๊ฐ๋™,\n๊ทธ๋ฆฌ๊ณ  ๋ˆ„๊ตฌ๋‚˜ ๊ณต๊ฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€์กฑ ์ด์•ผ๊ธฐ๊ฐ€\n์ฃผ๋ง ์ €๋…์„ ๋”ฐ๋œปํ•˜๊ฒŒ ์ฑ„์›Œ๋“œ๋ฆฝ๋‹ˆ๋‹ค\nโ€‹\n๐Ÿ“บ ๋ฐฉ์†ก\n๋งค์ฃผ ํ† ยท์ผ ์ €๋… 7์‹œ 55๋ถ„ KBS2\nโ€‹\n๐Ÿ‘‡ ๋ณด๋Ÿฌ๊ฐ€๊ธฐ\nhttps://vvd.bz/hQ7N\nโ€‹", "content_html": "
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์ด๋ฒˆ ์ฃผ๋ง, ๋”ฐ๋œปํ•œ ์ด์•ผ๊ธฐ ํ•œ ํŽธ ์–ด๋– ์„ธ์š”?

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๊ฐ€์กฑ์ด๋ผ์„œ ๋” ๋ฏธ์•ˆํ–ˆ๊ณ ,

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๊ฐ€์กฑ์ด๋ผ์„œ ๋” ์‚ฌ๋ž‘ํ–ˆ๋˜ ์ˆœ๊ฐ„์ด ์žˆ์œผ์…จ๋‚˜์š”?

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โ€‹

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KBS2 ์ฃผ๋ง๋“œ๋ผ๋งˆ ใ€ˆ์‚ฌ๋ž‘์ด ์˜จ๋‹คใ€‰๋Š”

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๊นจ์ง„ ๊ฐ€์กฑ์˜ ํŒŒํŽธ์„ ๋ชจ์•„

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์„ธ์ƒ์—์„œ ๊ฐ€์žฅ ๋”ฐ๋œปํ•œ ์ธ์ƒ ํ•œ ์ƒ์„ ์ฐจ๋ ค๋‚ด๋Š”

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๋‘ ๋‚จ๋…€์˜ ์ด์•ผ๊ธฐ๋ฅผ ๋‹ด์€ ํŒจ๋ฐ€๋ฆฌ ๋“œ๋ผ๋งˆ์ž…๋‹ˆ๋‹ค.

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โ€‹

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์›ƒ์Œ๊ณผ ๊ฐ๋™,

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๊ทธ๋ฆฌ๊ณ  ๋ˆ„๊ตฌ๋‚˜ ๊ณต๊ฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€์กฑ ์ด์•ผ๊ธฐ๊ฐ€

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์ฃผ๋ง ์ €๋…์„ ๋”ฐ๋œปํ•˜๊ฒŒ ์ฑ„์›Œ๋“œ๋ฆฝ๋‹ˆ๋‹ค

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โ€‹

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๐Ÿ“บ ๋ฐฉ์†ก

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๋งค์ฃผ ํ† ยท์ผ ์ €๋… 7์‹œ 55๋ถ„ KBS2

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โ€‹

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๐Ÿ‘‡ ๋ณด๋Ÿฌ๊ฐ€๊ธฐ

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https://vvd.bz/hQ7N

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โ€‹

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\n", "image_urls": [ "https://cafeptthumb-phinf.pstatic.net/MjAyNjA4MTRfMTMx/MDAxNzg2Njg0NDc5MDMw.rdVTvcwfsv6IdFisC2UkeGRPTyI2qgi4LnlmZj56qxgg.TJ1KeEkPRMRop97rXazBQtDvO6n_gcCStryvZ1wZoicg.JPEG/KBS_%EC%A2%85%EB%A3%8C%EB%B0%B0%EB%84%88_8%EC%9B%94.jpg?type=w1600" ], "outbound_urls": [ "https://vvd.bz/hQ7N" ], "author_name": "์ค‘๊ณ ๋‚˜๋ผ๊ด‘๊ณ ", "author_member_key": "IC_WusN3C6lXpRatT8MFkEE5ILJ08xbrLHeTVKqKRu4", "published_at": "2026-08-14T05:15:19.380000Z", "view_count": 13830, "comment_count": 32, "repost_count": 0, "scrap_count": 0, "is_open": true, "is_search_open": true, "is_readable": true } ``` #### Naver Cafe board posts scraper โ€” complete JSON result ```json { "result_type": "board_posts", "input": "https://cafe.naver.com/f-e/cafes/10050146/menus/1256", "status": "success", "id": "10050146:1134437468", "cafe_id": "10050146", "url": "https://cafe.naver.com/f-e/cafes/10050146/articles/1134437468", "image_url": "https://cafeptthumb-phinf.pstatic.net/MjAyNjA5MDJfMTg4/MDAxNzg4MzI5MDM3OTc3.pzL0Obt8ucgjEhxFziB2Zj2iJuOosIW5IwvwUqvqXCkg.zCTy3ozsf8ASNX1_4sn0KGcsDCeA4DrCHpRzI-XQUE0g.PNG/260827_%25EB%25AC%25B8%25EC%2595%259E%25ED%2583%259D%25EB%25B0%25B0_%25ED%2583%259D%25EB%25B0%25B0%25EB%25B9%2584_%25ED%258E%2598%25EC%259D%25B4%25EB%25B0%25B1.png", "post_id": "1134437468", "menu_id": "1256", "title": "[ํ•„๋…] ์ค‘๊ณ ๋‚˜๋ผ ๋ฌธ์•žํƒ๋ฐฐ ๋ฐฐ์†ก๋น„ ๋ฌด์ œํ•œ ๋ฌด๋ฃŒ!", "author_name": "์ค‘๊ณ ๋‚˜๋ผ์นดํŽ˜์Šคํƒญ", "author_member_key": "xWuoPEvgt4CbT2BjYggEscYKlGD3Dz9Krwd2SFT3dzQ", "published_at": "2026-09-02T06:04:33.210000Z", "view_count": 2932, "comment_count": 0, "is_open": true, "summary": "์ค‘๊ณ ๋‚˜๋ผ ๋ฌธ์•žํƒ๋ฐฐ ๋Ÿฐ์นญ๊ธฐ๋…!\n๋ฌธ์•žํƒ๋ฐฐ๋กœ ํŒ๋งค๋“ฑ๋กํ•˜๋ฉด ๋ฐฐ์†ก๋น„ ๋ฌด์ œํ•œ ๋ฌด๋ฃŒ!\nํ˜œํƒ ์ž์„ธํžˆ๋ณด๊ธฐ>\nโ€ป ๋ณธ ๊ฒŒ์‹œ๋ฌผ์€ ๊ด‘๊ณ ์„ฑ ์ •๋ณด๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.", "like_count": 11, "is_restricted_menu": false, "is_market_post": false } ``` #### Naver Cafe community search scraper โ€” complete JSON result ```json { "result_type": "cafe_search", "input": "์—ฌํ–‰", "status": "success", "id": "15057835", "cafe_id": "15057835", "slug": "taesarang", "url": "https://cafe.naver.com/taesarang", "name": "ํƒœ์‚ฌ๋ž‘- ํƒœ๊ตญ,๋ฐฉ์ฝ•,์น˜์•™๋งˆ์ด,ํŒŒํƒ€์•ผ,ํ‘ธ์ผ“,์นด์˜ค์‚ฐ,๋™๋‚จ์•„์ž์œ ์—ฌํ–‰", "introduction": "ํƒœ๊ตญ์—ฌํ–‰ ๋ฐฉ์ฝ• ์น˜์•™๋งˆ์ด ํŒŒํƒ€์•ผ ํ‘ธ์ผ“ ์นด์˜ค์‚ฐ ์•„์œ ํƒ€์•ผ ๋น ์ด ํ›„์•„ํžŒ ์‘ค๋ฆฐ ๋™๋‚จ์•„ ์ž์œ ์—ฌํ–‰ ๋ฐฐ๋‚ญ์—ฌํ–‰ ์ง€๋„", "is_power_cafe": true, "image_url": "https://cafeptthumb-phinf.pstatic.net/20160616_20/thailove_1466045237790W2ROw_PNG/%C5%C2%BB%E7%B6%FB%B7%CE%B0%ED%B9%E8%B0%E6%BA%B8%B6%F32.png?type=f72_72_mask", "member_count": 797538, "article_count": 705340, "new_article_count": 56, "category": "๋™๋‚จ์•„์‹œ์•„", "region": "ํƒœ๊ตญ" } ``` Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row. ### Input requirements and collection settings โš™๏ธ | Setting | What to enter | |---|---| | **What to collect** (`mode`) | Choose the information to collect. | | **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. | | **Search keywords** (`searchQueries`) | Enter one search phrase per line. For Post Search, Search. | | **Cafe links** (`cafeUrls`) | Paste one link per line. Example: https://cafe.naver.com/joonggonara For Details. | | **Post links** (`postUrls`) | Paste one link per line. Example: https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326 For Post Details. | | **Board links** (`boardUrls`) | Paste one link per line. Example: https://cafe.naver.com/f-e/cafes/10050146/menus/1256 For Posts. | | Collection mode | Fields to use | |---|---| | Details | **Cafe links** | | Post Details | **Post links** | | Post Search | **Search keywords** | | Posts | **Board links** | | Search | **Search keywords** | The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available. ### Naver Cafe scraping use cases ๐ŸŽฏ #### Community discovery Find cafes covering a consumer interest, profession or local topic. #### Consumer discussion research Search posts for product questions and purchasing experiences. #### Community benchmarking Compare cafe descriptions and visible membership or activity figures. #### Topic monitoring Collect public board listings to follow discussion themes. #### Source documentation Export readable posts with their images and outbound references for research. ### Pricing and saved-result behavior ๐Ÿ’ฐ See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost. Under dataset-item pricing: - Each collected item saved in the dataset is one result. - Images, tags and other values attached to that item do not create additional rows. - Automatic retry attempts do not create extra dataset rows. - A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected. - `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results. ### Naver Cafe scraper API and integrations ๐Ÿ”Œ Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token. ```bash curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"mode":"post_search","searchQueries":["์—ฌํ–‰"],"maxResults":10}' ``` Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application. ### Reliability, retries, and public-data limits โš ๏ธ Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result. Membership-only posts are unavailable; search snippets do not imply that the full post is publicly readable. Naver Cafe controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved. ### Frequently asked questions โ“ #### Does it require an account on Naver Cafe? No. You do not need to provide an account, password or login cookies. Only publicly available information is collected. #### How does maxResults work? It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input. #### Can the actor read members-only cafe posts? No. Post Card collects only posts readable to visitors. #### Can I search across different cafes? Yes. Post Search finds public results across communities, while Board Posts targets a selected cafe or section. #### Why are some fields empty? The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed. #### Can I export the results to a spreadsheet? Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table. ### Support and responsible use ๐Ÿ›Ÿ For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials. Use public Naver Cafe information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results. # Actor input Schema ## `mode` (type: `string`): Choose the information to collect. ## `maxResults` (type: `integer`): Collect up to this many results for each search or link. Minimum: 1. ## `searchQueries` (type: `array`): Enter one search phrase per line. For Post Search, Search. ## `cafeUrls` (type: `array`): Paste one link per line. Example: https://cafe.naver.com/joonggonara For Details. ## `postUrls` (type: `array`): Paste one link per line. Example: https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326 For Post Details. ## `boardUrls` (type: `array`): Paste one link per line. Example: https://cafe.naver.com/f-e/cafes/10050146/menus/1256 For Posts. ## Actor input object example ```json { "mode": "post_search", "maxResults": 10, "searchQueries": [ "์—ฌํ–‰" ], "cafeUrls": [ "https://cafe.naver.com/joonggonara" ], "postUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326" ], "boardUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/menus/1256" ] } ``` # Actor output Schema ## `results` (type: `string`): Collected entities and failed input outcomes, with all available fields and error explanations in one dataset. # 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": "post_search", "maxResults": 10, "searchQueries": [ "์—ฌํ–‰" ], "cafeUrls": [ "https://cafe.naver.com/joonggonara" ], "postUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326" ], "boardUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/menus/1256" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapingmonkey/naver-cafe-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": "post_search", "maxResults": 10, "searchQueries": ["์—ฌํ–‰"], "cafeUrls": ["https://cafe.naver.com/joonggonara"], "postUrls": ["https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326"], "boardUrls": ["https://cafe.naver.com/f-e/cafes/10050146/menus/1256"], } # Run the Actor and wait for it to finish run = client.actor("scrapingmonkey/naver-cafe-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "post_search", "maxResults": 10, "searchQueries": [ "์—ฌํ–‰" ], "cafeUrls": [ "https://cafe.naver.com/joonggonara" ], "postUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/articles/1133411326" ], "boardUrls": [ "https://cafe.naver.com/f-e/cafes/10050146/menus/1256" ] }' | apify call scrapingmonkey/naver-cafe-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/naver-cafe-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/vJoQWNE4CRhrvLVy6/builds/BGxzHgmVEGNzth3YI/openapi.json