Bilibili Video Search by Keyword · B站视频搜索 (No Login) avatar

Bilibili Video Search by Keyword · B站视频搜索 (No Login)

Pricing

from $50.00 / 1,000 videos

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Bilibili Video Search by Keyword · B站视频搜索 (No Login)

Bilibili Video Search by Keyword · B站视频搜索 (No Login)

Search Bilibili (B站, Chinese video platform) for videos by keyword — no login, no API key, no cookie. Returns BV-id, title, author, play count, likes, danmaku, duration, publish date and thumbnail. Keyword search (not URL-by-URL) for Chinese AI corpora & trends. Pay per record.

Pricing

from $50.00 / 1,000 videos

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NexGenData

NexGenData

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🇨🇳 Bilibili Video Search by Keyword · B站视频搜索 (No Login)

Turn any keyword into a ranked dataset of Bilibili (B站) videos — BV-id, title, uploader, play count, likes, danmaku (弹幕) count, duration, publish date and thumbnail — with no login, no official API key, and no cookie. Unlike URL-by-URL Bilibili scrapers, this actor is built around keyword search: feed it 人工智能 or "machine learning" and get the newest-and-hottest matches back as clean JSON or CSV. It serves two jobs especially well — assembling Chinese-language video/text training corpora for AI teams, and tracking what's trending with China's Gen-Z audience.

Pricing: $1 ≈ 20 videos (Pay-Per-Event, $0.05 per video). Optional add-ons: sentiment +$0.02/video, social-handle extraction +$0.10/video (both off by default).

📊 Sample Output

6 real rows delivered by Bilibili Video Search by Keyword · B站视频搜索 (No Login) — run 5IZtRMISxdkYHTGFe on build 0.0.60

bvidaidurlauthormidduration
BV1owrpYKEtP113769053358965https://www.bilibili.com/video/BV1owrpYKEtP吴恩达AI_AndrewNg34931347680160081384:56
BV1keaA6bEhT117325235820540https://www.bilibili.com/video/BV1keaA6bEhT名校课程-顶级中配20611864911359:31
BV1Fzszz4Ek7115440701473360https://www.bilibili.com/video/BV1Fzszz4Ek7黑马程序员379744442809:53
BV1DgxCzREbM115342605028471https://www.bilibili.com/video/BV1DgxCzREbMAI产品经理入门到精通3546852200811010968:54
BV1puGv6TEjV116621599312886https://www.bilibili.com/video/BV1puGv6TEjV深度学习课程35467642168962371413:45
BV1t7h76CECm117313491830629https://www.bilibili.com/video/BV1t7h76CECm疯狂水论文34932860796303112860:27

Real rows from run 5IZtRMISxdkYHTGFe on build 0.0.60 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

FieldTypeDefaultWhat it does
keyword (required)string"机器学习"Keyword to search on Bilibili (Chinese or English).
max_resultsinteger30Maximum videos.
addonSentimentScoredbooleanfalseOPT-IN. Score the (translated/transliterated) title + description with the VADER lexicon (positive / negative / neutral). $0.02 per video. Default OFF.
addonSocialHandlesExtractedbooleanfalseOPT-IN. Fetch the creator's bilibili space page and regex-extract any linked Facebook / X / LinkedIn / Instagram / YouTube / TikTok / GitHub handles. $0.10 per unique creator. Def…

🧾 JSON sample record

One real record from run 5IZtRMISxdkYHTGFe (emails/phones masked, long text shortened):

{
"bvid": "BV1owrpYKEtP",
"aid": 113769053358965,
"url": "https://www.bilibili.com/video/BV1owrpYKEtP",
"title": "【官方中英】2025年公认最好的【吴恩达机器学习课程】附课件、代码及实战项目!!!--人工智能/机器学习/深度学习",
"description": "本课程字幕为官方英文字幕资源,由GPT翻译后经人工检查,最大程度上确保字幕适合食用,",
"author": "吴恩达AI_AndrewNg",
"mid": 3493134768016008,
"duration": "1384:56",
"play_count": 4423126,
"danmaku_count": 7757,
"favorites": 89761,
"likes": 33248,
"tag": "pytorch,人工智能,机器学习入门,深度学习入门,机器学习,学习,深度学习,吴恩达,卷积神经网络,计算机技术",
"pub_date": 1735979927,
"thumbnail": "//i0.hdslb.com/bfs/archive/3324ad7f3396ea7a8e363ae05b708ee3d3260436.jpg",
"keyword": "机器学习",
"scraped_at": "2026-09-25T00:03:28.492238Z"
}

💰 Pricing

EventPrice (USD)When it is charged
Actor Start (apify-actor-start)$0.005Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
video (apify-default-dataset-item)$0.05One Bilibili video record returned.
Sentiment scored (opt-in addon) (addon-sentiment-scored)$0.02VADER sentiment scored over title + description. Opt-in via addonSentimentScored toggle.
Social handles extracted (opt-in addon) (addon-social-handles-extracted)$0.1Creator's bilibili space page scraped + regex for FB/X/LI/IG/YT/TikTok/GitHub. Opt-in via addonSocialHandlesExtracted toggle.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

More from the NexGenData China markets family:

20 more in this family on the NexGenData Store page.

中文说明

Bilibili 视频搜索让你用一个关键词批量获取 B 站视频数据,无需登录或 Cookie。每条结果包含标题、UP主、播放量、点赞、收藏、弹幕数与发布时间,可导出为 JSON、CSV 或 Excel,方便做品牌、市场与消费趋势研究。

定价:按视频计费,每条 $0.05(约 $1 = 20 条)。可选附加项:情感打分 +$0.02/条、创作者社交账号提取 +$0.10/条,默认关闭,仅在开启时计费。

定时运行:在 Apify 的「Schedules」中新建计划任务,设置关键词与数量上限,即可按天或按周自动追踪某一话题的热度变化。

AI 智能体:本 Actor 采用按事件计费(PPE),支持通过 Apify 的 x402 让智能体用 USDC 直接调用,无需账号。

说明:关键词搜索在匿名状态下可能受限;无结果时仅返回一条状态记录,不计费。所有字段均来自公开数据。

🤖 For AI agents & automation

An agent can research Chinese social and consumer trends on Bilibili — search a keyword and rank videos by engagement (plays, likes, danmaku) to gauge topic momentum. Note: a search that returns no results emits a single status record (billing-fair); keyword search may require a login cookie for some queries.

Sample agent prompt:

Search Bilibili for '智能手表' and return the top videos by play count with author and likes.

Output fields (one item per result):

  • bvid — Bilibili video id
  • url — video URL
  • title — video title
  • description — video description
  • author — uploader name
  • play_count — view count
  • danmaku_count — on-screen comment count
  • favorites — favorite count
  • likes — like count
  • tag — video tags
  • pub_date — publish date

Agentic payment (x402): this Actor uses Pay-Per-Event pricing, so AI agents can run it via Apify's experimental x402 agentic-payment support — pay per call in USDC on Base, no Apify account or API key required ($1 minimum).

🧩 Optional add-ons (opt-in — you pay only if you switch them on)

Base price is $0.05/video. Flip either flag in the input to enrich every result:

  • addonSentimentScored — adds a sentiment label + score (title + description) to each video, so you can rank results by audience mood with no post-processing. +$0.02/video ($20 / 1,000).
  • addonSocialHandlesExtracted — pulls creator/brand handles out of each description for outreach and lead lists. +$0.10/video ($100 / 1,000).

Both default to off; leave them off and you pay only the base per-video price.

Use cases

  1. Build a Chinese-language video metadata corpus (titles + danmaku signals) for LLM / NLP training.
  2. Trend tracking — surging topics and creators on B站 for a keyword.
  3. Brand & campaign monitoring with China's Gen-Z audience.
  4. Equity / consumer research on Chinese media, gaming, anime, EV and streaming.
  5. KOL / creator discovery by topic, ranked by play count and danmaku.

Sample input

{ "keyword": "人工智能", "max_results": 100 }

keyword is required; max_results caps the number of videos returned.

Sample output

Each record returns bvid, title, author, play, like, danmaku, duration, pubdate, pic:

{ "bvid": "BV1xx411c7mD", "title": "10分钟看懂大语言模型", "author": "AI科技频道", "play": 482000, "like": 31200, "danmaku": 4870, "duration": "10:42", "pubdate": "2026-06-18" }

FAQ

Does the Bilibili scraper need login, an API key, or cookies? No — it runs out of the box with none.

Can I search Bilibili by keyword (not just by URL)? Yes — keyword search is the core function; it returns a ranked list, unlike URL-only scrapers.

What is danmaku and why does it matter? Danmaku (弹幕) are on-screen scrolling comments; the count is a high-signal Gen-Z engagement metric per video.

Can it output Chinese-language AI training data? Yes — structured titles and metadata across many videos per keyword, ready for a notebook, vector DB, or training pipeline.

Does it work outside China without a VPN? Yes — it runs on Apify with a proxy; no VPN on your side.

Part of the NexGenData China social & sentiment suite — most teams pair the search actor (discovery) with the comments actor (depth):


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