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Naver Cafe SERP Scraper

This Naver Cafe SERP scraper turns Naver Search Cafe-tab result pages into a structured CSV. Import the template, update the query URL, and export Cafe post titles, URLs, snippets, source Cafe or author labels, source links, publication times, image URLs, and extraction timestamps without writing a custom crawler.

Output

CSV file

Fields

9 columns

Pages

10 offsets

Source

Naver Cafe

Template

Free import

At a glance

Export Naver Cafe search results to CSV

Naver Cafe results are useful for tracking Korean community discussions, product questions, game communities, buyer intent, and early issue signals. They are also awkward to collect manually because each result card can mix a title link, snippet, Cafe or author label, relative date, and thumbnail.

This template handles the repetitive browser path: Navigate -> wait -> filter Cafe rows -> structured export -> append -> loop. The bundled project uses known Naver Search Cafe-tab URLs with start offsets from 1 through 91, so a single run can collect multiple pages for the same keyword when results are available.

Built for Cafe SERP rows

The row filter focuses on search results that contain cafe.naver.com links, reducing blank captures from unrelated Naver modules.

Spreadsheet-ready export

Use Naver Cafe to CSV output in Excel, Sheets, BI tools, QA queues, or enrichment scripts without copying result cards by hand.

Multi-page collection

The Navigate block carries ten search offsets and Loop Continue advances through them while appending every batch into one file.

Local desktop custody

The browser session and CSV output stay on your machine. The stock project does not send exported Cafe rows to UScraper servers.

Who uses it

Built for community and market monitoring

Korean market researchers

Community demand scan

Favorable to scraping

Track recurring Cafe discussions around a product, game, travel topic, brand, or local service and keep the source URL beside every exported row.

SEO and content teams

Topic discovery

Favorable to scraping

Review Cafe snippets and titles to spot long-tail questions that do not appear in broader Naver Blog or news research.

Data operations teams

No-code collection

Nuanced outcome

Use an auditable local workflow when stakeholders need to scrape Naver Cafe results and engineering time should go toward cleaning, deduping, and analysis.


How to use

Run the Naver Cafe scraper in five steps

1

Download and import

Download the hosted template JSON from the Naver Cafe SERP Scraper template link, then import it into UScraper.

2

Change the query URLs

The Navigate block ships with Cafe-tab URLs for one sample keyword. Replace the encoded query value with your approved keyword and keep the start offsets if you want the same page range.

3

Keep the waits in place

The workflow sets a 1920 by 1080 viewport, waits for page load, pauses briefly, and then waits for matching Cafe result rows before export.

4

Export visible Cafe rows

Structured Export writes keyword, title, title URL, content snippet, author or source label, source URL, publication time, image URL, and extraction time.

5

Loop and open the CSV

After each export, a short pause and Loop Continue advance to the next configured offset. Open the final CSV after the run completes.

Output preview

What the Naver Cafe CSV contains

naver-cafe-serp-scraper.csv
CSV - UTF-8 - Append

Column

keyword

Search query read from the Naver Cafe result URL.

Column

title

Cafe result title text after whitespace cleanup.

Column

title_link_url

Direct Cafe post URL when Naver exposes one.

Column

content

Visible snippet or description from the result card.

Column

author

Cafe, author, or source label captured from the row.

Column

author_link_url

Source Cafe or author link URL when available.

Column

publication_time

Relative or dated publish marker, such as minutes ago or a calendar date.

Column

image

Thumbnail URL when the result card includes an image.

Column

extraction_time

ISO timestamp generated when UScraper exports the row.

Sample rows

2 of many

keywordtitletitle_link_urlcontentauthorauthor_link_urlpublication_timeimageextraction_time
animal crossingIsland layout tips and item exchange threadMembers share screenshots, trade notes, and recent update reactions.Game Community Cafe2 hours ago2026-06-02T12:40:18.000Z
animal crossingBeginner checklist for seasonal event itemsShort guide covering event dates, trading rules, and item locations.Player Help Cafe2026.06.012026-06-02T12:40:24.000Z
Headers are included; each search offset appends rows underneath.

Frequently asked questions

Scraping visible Naver Cafe search results can still be limited by Naver terms, robots guidance, Cafe owner rules, copyright, privacy law, and local regulations. Keep collection narrow, avoid bypassing login walls or CAPTCHA, respect member-only content, and get legal review before commercial reuse.

Before you run

Limits and maintenance notes

Practical guardrails for reliable Naver Cafe exports

Rate limits

Keep the bundled waits and avoid parallel batches

Naver can throttle automated browsing or show verification screens. Run at a measured pace, avoid many simultaneous keyword jobs, and stop when the page asks for human confirmation.

Layout changes

Search cards can change without notice

The template uses row filtering and JavaScript extraction against visible Naver result cards. Empty titles, missing dates, or blank URLs usually mean the page layout changed and the mapping should be refreshed.

Compliance

Respect Cafe rules and member expectations

Public result snippets are not the same as unrestricted content. Do not collect private Cafe posts, republish member text without permission, or use exported rows for resale or AI training without policy and legal review.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]