How To Access A Book Dataset For Anime-Based Novels?

2025-07-02 22:15:29 204

3 Answers

Zeke
Zeke
2025-07-04 19:58:57
I've been digging into anime-based novels lately and found a few ways to access book datasets. One method is using platforms like Kaggle or GitHub, where users often share datasets for free. I recently stumbled upon a dataset for light novels adapted into anime on Kaggle, which included titles like 'Sword Art Online' and 'Re:Zero'. Another option is checking out APIs like the Jikan API, which pulls data from MyAnimeList and includes novel adaptations. For a more hands-on approach, scraping websites like NovelUpdates or Baka-Tsuki can yield raw data, though it requires some coding skills. Libraries like BeautifulSoup in Python make this easier. I also recommend joining Discord communities focused on anime novels; members often share curated datasets or guides on where to find them. If you're into Japanese light novels, BookWalker's global site sometimes releases data dumps during promotions.
Ivan
Ivan
2025-07-07 23:43:14
Finding a reliable book dataset for anime-based novels can feel like hunting for treasure, but I’ve pieced together some solid methods. My go-to is leveraging academic resources like the National Diet Library’s digital collections or university libraries with Japanese studies departments—they often have catalogs of light novels tied to anime. For digital scraping, I use tools like Octoparse to extract data from sites like MyAnimeList, filtering by the 'source: novel' tag. This gives me details on titles like 'Overlord' or 'The Rising of the Shield Hero'.

Another goldmine is open-source projects on GitHub. I recently forked a repo that parsed Crunchyroll’s database to link anime with their original novels. If you prefer pre-processed data, the 'AniList' API is fantastic—it lets you query novel adaptations with GraphQL, and you can export the results as JSON. For niche titles, I crawl smaller forums like AnimeNewsNetwork’s encyclopedia, which has manual entries for obscure adaptations. Remember to respect robots.txt and terms of service when scraping!

Lastly, don’t overlook Reddit threads like r/LightNovels or r/DataHoarder. Users frequently post shareable Google Sheets with metadata on anime-source novels, including publication dates and author info. Combine these with Python’s Pandas library to clean and analyze the data.
Xavier
Xavier
2025-07-06 07:26:12
As someone who blends anime fandom with data nerding, I love tracking down novel datasets. A fun approach is using MyAnimeList’s advanced search—filter by 'Original Work: Novel' and export your list as CSV. This works for classics like 'Spice and Wolf' and newer hits like 'Mushoku Tensei'. I then cross-reference with Kitsu’s API for additional metadata like genre tags.

For Japanese titles, I scrape Aozora Bunko (a public-domain site) using R scripts, though it’s mostly classic literature. Modern light novels require different tactics: BookOff’s online store has searchable ISBN databases, and I’ve automated scraping their listings with Puppeteer.

If coding isn’t your thing, try FAKKU’s JSON feeds for adult novel adaptations or AniDB’s downloadable dumps. For community-sourced data, the Visual Novel Database lets you export spreadsheets of anime-linked titles, complete with voice actor credits—handy for cross-analysis. Just be mindful of rate limits!
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