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豆瓣阅读 icon

How much does 豆瓣阅读 earn?

iOS app from Beijing Ark Reading Technology Co., Ltd. · Food & Drink

ML forecast ★ 4.8 · 2K +680.7% MoM Paid

~4.9K/mo

ML revenue forecast. Calibrated against 2020 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the App Store, captured by our snapshot worker. Tap any image to enlarge.

豆瓣阅读 screenshot 1 豆瓣阅读 screenshot 2 豆瓣阅读 screenshot 3 豆瓣阅读 screenshot 4

豆瓣阅读's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where 豆瓣阅读 sits in Food & Drink

Revenue distribution of 2020 comparable apps. 豆瓣阅读 highlighted.

豆瓣阅读 vs comparable apps

Revenue trajectory side-by-side. Bold = 豆瓣阅读, ghosted = peers.

App spec

Version
6.11.2
Last update
May 09, 2026
Launched
Oct 25, 2012
Min OS
13.0
Rating
12+
Price
Free
Monetization
Paid
Languages
ZH

What 豆瓣阅读 actually does (from App Store listing)

豆瓣,你的书影音世界。 豆瓣阅读,你的小说世界。 豆瓣阅读是豆瓣旗下的优质类型小说平台。 我们主打悬疑、女性、幻想、文艺、历史等类型,强调文学性和流行性的结合,打造「看的时候停不下来,看过之后回味再三」的精品小说。 豆瓣阅读是一个活跃的创作者与读者交流的社区。在这里,可以与更多豆瓣好友进行深入的讨论与交流。对喜欢的作品和作者,可以关注、订阅、评论、送花。 在豆瓣阅读里,你可以—— 读到优质小说 • 悬疑、女性、幻想、文艺、历史五大频道,拥有豆瓣评分 8.0 以上的优质小说,经过豆瓣读者数据检验。 • 绝对原创,每月新作 9000+,超过半数作品免费阅读。来自当下最优秀的青年创作者。 • 近 10 万种经过精细排版的正版电子图书,包括中信、读客、果麦、磨铁等多家著名出版社。 订阅作者长篇连载 • 订阅:专栏和连载有更新,第一时间提醒。 • 送花:给你爱的作品送花,帮助它成为花神。 • 批注:可以对书中的任何一个细节进行批注。豆瓣阅读每月新增批注 60000+,读到书友们令人叫绝的批注,是使用豆瓣阅读特有的乐趣。 • 评论:在豆瓣阅读评论,可以得到作者第一时间的回复。豆瓣阅读每月新增…
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Comparable iOS apps

The five apps in Food & Drink with the closest revenue to 豆瓣阅读. Click any to see its detail page.

AppRevenueRatingRatings
xigxag: Audiobooks, but Better icon xigxag: Audiobooks, but Better 4.9K ★ 4.1 15
Amolivro: Audiobook & Story icon Amolivro: Audiobook & Story 4.9K ★ 4.2 337
Hangjam: AI Chat and Roleplay icon Hangjam: AI Chat and Roleplay 4.9K ★ 4.4 635
Manga Reader Manga Man icon Manga Reader Manga Man 4.9K ★ 4.4 311
Day by Day Meditations icon Day by Day Meditations 4.9K ★ 4.9 231
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on 豆瓣阅读's tracker page for current rating, reviews and snapshot timeline.

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