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DCInside Scraper for Posts to CSV

This DCInside scraper exports Korean gallery posts into a clean CSV for researchers who need listing metadata, detail-page text, timestamps, and attached image URLs without building a custom crawler. The starter workflow targets the DCInside MapleStory gallery, loops through known listing URLs, enriches visible posts from their detail pages, and writes everything into dcinside-scraper.csv from the UScraper local desktop app.

Output

CSV

Columns

11

Pages

1-3

Runtime

Local app

Template

Free

At a glance

Export DCInside posts without custom scripts

Turn gallery listings into a spreadsheet

Capture post number, title, URL, comment count, writer, IP marker when visible, views, recommendations, created time, body text, and image links in fixed CSV columns.

Enrich rows from detail pages

The workflow does more than scrape DCInside listing text. It opens each visible post URL in-page, waits for the async enrichment step to finish, and stores the cleaned post content beside the listing metadata.

Use a safe page list

The Navigate block includes pages 1-3 for the MapleStory gallery. Extend the URL array deliberately when you need more coverage instead of crawling DCInside's very large archive without boundaries.

Keep research files local

The browser session and DCInside to CSV output stay on your machine, which helps teams that need no-cloud collection for community monitoring, issue research, or internal analysis.

Who uses it

DCInside data extraction use cases

Game market researchers

Patch windows

Favorable to scraping

Export DCInside posts around MapleStory updates, events, and player issues, then compare titles, comments, views, and recommendations across several listing pages.

Community analysts

Topic review

Favorable to scraping

Collect post text and image URLs into a reviewable spreadsheet before coding recurring complaints, slang, sentiment, or questions that appear across a public gallery.

Dataset builders

Internal archives

Nuanced outcome

Preserve source URLs, visible author fields, timestamps, and body text for permission-aware internal review while keeping enough context to audit every exported row later.


How to use

Scrape DCInside to CSV in five steps

1

Download and import

Download the hosted template JSON, then import it into the UScraper desktop app.

2

Review the target URLs

The starter template opens three MapleStory gallery listing pages. Replace or extend the Navigate URL list if your project needs another public gallery or a longer page range.

3

Confirm the save folder

Structured Export writes dcinside-scraper.csv with headers and append mode enabled. Pick the folder you want before running a production batch.

4

Run with visible checks

Let the page load, wait for gallery rows, enrich each visible post, then export. The workflow currently processes up to 30 rows per listing page.

5

Open the output

Inspect the CSV in Excel, Sheets, or your analysis tool. Spot-check several source URLs before you schedule larger or recurring exports.

Output preview

What the DCInside CSV includes

dcinside-scraper.csv
CSV - UTF-8 - Append

Column

number

The visible DCInside post number.

Column

title

The listing title with trailing reply-count text cleaned.

Column

title_url

The absolute detail page URL.

Column

comments

Reply count parsed from the listing row.

Column

writer

Visible nickname or writer text.

Column

writer_ip

Visible IP marker or data-ip value when DCInside exposes it.

Column

views

View count from the listing table.

Column

recommendations

Recommendation count from the listing table.

Column

detail_time

Created time from the detail page when available.

Column

content

Cleaned detail-page body text or a clear fetch status.

Column

attached_image

Attached file and image URLs separated by pipe characters.

Sample rows

1 of many

numbertitletitle_urlcommentswriterwriter_ipviewsrecommendationsdetail_timecontentattached_image
287431Event reward discussion after the update18sample_user123.452401122026.06.01 14:22:10Players compare event rewards, shop timing, and recent patch notes...
Headers included - configured listing pages append rows into one file

For adjacent Korean community workflows, compare this page with the Ruliweb community scraper, the Theqoo scraper, and the Naver Cafe scraper. You can also browse the full UScraper template library.

Comparison

UScraper vs hosted DCInside actors

This UScraper template

Local

Hosted scraper actors

Cloud
Runtime

Local desktop app

You can watch the DCInside page load and adjust waits.

Vendor infrastructure

Convenient, but less transparent for internal review.

Output

CSV in your chosen folder

Append mode keeps configured pages together.

Dashboard or cloud download

Usually tied to accounts, credits, and retention settings.

Custody

Rows stay local

Useful for sensitive community research lists.

URLs and rows cross vendor systems

May require extra procurement approval.

Cost

Free template import

Use it inside your UScraper app license.

Subscription or usage billing

Recurring runs can become recurring spend.


Frequently asked questions

Public DCInside pages may still be governed by DCInside terms, robots directives, copyright, privacy rules, and local laws. Use modest pacing, avoid bypassing access controls, preserve source URLs, and get legal advice before redistributing posts, images, or user-linked data.

Before you run

Practical limits and maintenance

Keep the scraper reliable

Pacing

Do not turn a starter page list into an unbounded crawl

Extend the Navigate URLs deliberately, keep waits in place, and test smaller batches first. DCInside has very large archives, so controlled page ranges are easier to review and maintain.

Layout drift

Selectors may need updates after DCInside redesigns

Empty exports, missing content, or broken image fields usually mean the listing table or detail page structure changed. Refresh the workflow before trusting a production run.

Compliance

Collect only what your use case requires

Review DCInside robots guidance, the service policy, and your internal data rules before using exported posts in reports, datasets, or model workflows.

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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