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Syosetu Scraper by Keyword to CSV logo

Syosetu Scraper by Keyword to CSV

This Syosetu scraper turns public Narou work information pages into a structured CSV for researchers, translators, publishers, and catalog builders. Add verified Syosetu novel URLs, run the local desktop app workflow, and export titles, authors, N-codes, synopsis text, genres, keywords, episode counts, status, update dates, points, bookmarks, and review counts without writing a custom crawler.

Output

CSV file

Columns

19

Input mode

URL loop

Runtime

Local app

Template

Free

At a glance

Scrape Syosetu web novel metadata by keyword

The template is designed for a practical keyword workflow: search Syosetu or Narou, convert the result N-codes into public /novelview/infotop/ncode/ URLs, then paste those verified URLs into the Navigate block. UScraper loops through each work information page and exports a consistent row per novel.

Collect novel metadata, not full chapters

Focus on catalog fields that help you evaluate a Syosetu web novel list: title, author, N-code, synopsis, genre, keywords, status, episode count, character count, review count, bookmarks, and points.

Export Syosetu novels to CSV

The structured export writes headers and appends rows, so batches from several keyword searches land in one spreadsheet for filtering, deduplication, and manual review.

Run multiple N-code URLs

Replace the sample URLs with currently accessible work information URLs. Loop Continue advances through the list while a short pause keeps the run easier to monitor.

Keep the workflow local

The browser session and CSV export run in the local desktop app, which is useful when you do not want a hosted scraper queue handling your research list.

Who uses it

Syosetu data extraction use cases

Web novel researchers

Catalog review

Favorable to scraping

Build a sortable list of public Syosetu titles for a theme, keyword, or genre, then compare synopsis text, update recency, episode counts, and total points in a spreadsheet.

Translation scouts

Shortlisting

Favorable to scraping

Export author names, N-codes, status, character counts, and reading-time estimates before deciding which works deserve deeper manual evaluation.

Dataset builders

Metadata only

Nuanced outcome

Use this Narou scraper for discovery metadata and source links, then keep compliance review separate before collecting, storing, or reusing any protected story text.

How to use

Export Syosetu novels to CSV in five steps

1

Download and import

Download the hosted Syosetu scraper JSON and import it into UScraper.

2

Find keyword results

Use Syosetu search or the official Narou search tools to identify matching works, then copy each public N-code into an infotop URL.

3

Edit the URL list

Replace the sample Navigate URLs with your verified /novelview/infotop/ncode/n4614in/ style pages.

4

Set the export folder

Confirm the save path for syosetu.csv. The default export uses headers and append mode so every URL lands in the same file.

5

Run and spot-check

Start with a small batch, compare several rows against the source pages, then add more keyword results once the output matches your needs.

Output preview

What the Syosetu to CSV export includes

syosetu.csv
CSV - UTF-8 - Append

Column

タイトル

Novel title from the work information page.

Column

詳細リンク

Detail link for the public work page.

Column

作者

Author name displayed by Syosetu.

Column

作品情報リンク

The infotop URL opened by the workflow.

Column

あらすじ

Synopsis text, cleaned into one cell.

Column

Nコード

The N-code identifier for the work.

Column

エピソード数

Episode count parsed from the page type block.

Column

状況

Serialization or completion status.

Column

ジャンル

Genre listed on the info page.

Column

キーワード

Author or platform keyword labels.

Column

最終更新日

Latest publication date when exposed.

Column

文字数

Character count with non-numeric text removed.

Column

読了時間

Estimated reading time derived from character count.

Column

週別ユニークユーザー

Placeholder column; blank when the source page does not expose it.

Column

レビュー数_件

Review count.

Column

総合ポイント_pt

Total evaluation points.

Column

ブックマーク

Bookmark count.

Column

評価人数

Placeholder column; blank when the source page does not expose it.

Column

評価ポイント

Rating points when present.

Sample rows

1 of many

タイトル詳細リンク作者作品情報リンクあらすじNコードエピソード数状況ジャンルキーワード最終更新日文字数読了時間週別ユニークユーザーレビュー数_件総合ポイント_ptブックマーク評価人数評価ポイント
星降る街の薬師青井ミナト辺境の薬師が失われた調合術を探すファンタジー。N4614IN42連載中ハイファンタジー冒険 魔法 成長2026/05/28128,440約257分1812,8603,1048,944
Headers included - one row per configured Syosetu work information URL

Frequently asked questions

Syosetu pages and Narou data may be public, but they are still governed by site terms, copyright, database rules, robots guidance, and local law. Use modest volume, do not bypass access controls, keep attribution links, and get legal review before republishing, reselling, or training models on exported text.

Before you scale

Practical limits and maintenance

Keep Syosetu exports reliable

Pacing

Start with small keyword batches

The template includes a short sleep between pages. Increase waits if pages load slowly, and avoid parallel runs that repeatedly hit the same public source.

Layout drift

Selectors may need updates

Empty title, author, or synopsis cells usually mean Syosetu changed the information page markup. Refresh the workflow before trusting a large export.

Compliance

Use metadata with source-aware discipline

Keep source URLs, respect Syosetu terms, avoid copying protected story text into redistribution datasets, and document why each field is needed.

For adjacent workflows, browse the UScraper template library, compare search discovery with the Yahoo Japan searching scraper, pair book-market research with the Yodobashi keyword searching scraper, or install the app from the UScraper download page.

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

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