💬 Bilibili Video Comments Scraper — Chinese Video Sentiment & Audience Intel

Scrape Bilibili (哔哩哔哩) video comments by BV-id — comment text, author, like count, reply count, publish time, and thread depth. Built as a pay-per-result alternative to Brandwatch ($800-3000/mo), Meltwater, NewWhale (NewRank), and manual Bilibili browser scraping for China audience-intel teams, AI training datasets, and academic researchers.

Why Bilibili Comments Scraper Beats Brandwatch, Meltwater, NewWhale & Manual Browsing

Feature	NexGenData Bilibili Comments	Brandwatch	Meltwater	NewWhale / NewRank	Manual browser scrape
Cost	$0.001 / comment, pay-per-result	$800-3000 / month	$$$ enterprise	¥$$$/year	Free (slow, breaks)
Bilibili-native	Yes — purpose-built	Multi-platform aggregator	Multi-platform	Bilibili + Douyin + Weibo	DIY
Thread depth + replies	Yes — full hierarchy	Limited	Limited	Yes	Manual
Author IDs + UIDs	Yes	Hashed	Hashed	Yes	Visible
Bulk export	JSON / CSV / Excel	Plan-gated CSV	Plan-gated	CSV (plan-gated)	Manual copy
Multi-video batch	Yes — BV-id list	Yes (paid tier)	Yes	Yes	One-at-a-time
API access	Apify REST + SDKs	Enterprise only	Enterprise	Paid plan	None
Auth required	Apify token	Account + plan	Account + plan	Account + plan	Bilibili login
Monthly minimum	None	$800+	$$$$	¥$$$$	None

Most China audience-intel + AI-training teams pick this actor instead of Brandwatch because Brandwatch treats Bilibili as a fringe source with limited language support; this actor is Bilibili-native, handles Chinese punctuation correctly, and ships flat JSON for direct ingest. Cheaper than NewRank / NewWhale at typical volumes and a drop-in alternative to maintaining your own headless Chrome scraper against Bilibili's evolving anti-bot defenses.

What You Get Per Comment

Each dataset item is a flat JSON record:

• bv_id, video_title, video_url
• comment_id, parent_id (for threaded replies)
• comment_text — full UTF-8 Chinese / English / emoji
• author_name, author_uid, author_level
• like_count, reply_count, is_top_pinned
• publish_time (ISO 8601, UTC)
• thread_depth — 0 = root comment, 1+ = reply
• mentions — array of @user mentions
• ip_region — Bilibili's coarse geo label (省, when public)

Use Cases

• China audience intel — measure sentiment on a brand mention, product launch, or viral video
• AI training data — Chinese-language conversational corpus for LLM fine-tuning
• Academic research — Chinese internet culture, creator-economy studies, fandom analysis
• Creator analytics — what drives engagement on a competing creator's videos
• Localization QA — test Chinese translation reception via comment sentiment
• Brand monitoring — track competitor mentions inside Bilibili threads
• Recommendation research — build datasets for Chinese video-recommendation models

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/bilibili-video-comments").call(run_input={
    "bv_ids": ["BV1xx411c7XX"],
    "max_comments_per_video": 500
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["author_name"], item["comment_text"])

Pricing — Pay Per Comment

• Actor start: $0.005
• Comment: $0.001

A 5,000-comment audit on one viral video = $5.01. A 50K-comment brand-sentiment sweep = $50.01. No monthly minimum, no seats.

Related NexGenData APAC + Audience-Intel Actors

Use case	Actor
Bilibili video search + metadata	bilibili-video-search
Weibo hot-search tracker (China X / Twitter)	weibo-hot-search-tracker
Xiaohongshu trends tracker (Chinese Instagram)	xiaohongshu-trends-tracker
Douyin trending tracker (TikTok China)	douyin-trending-tracker
Zhihu Q&A tracker (Chinese Quora)	zhihu-qa-tracker
China trends tracker (Weibo + Baidu + Toutiao)	china-trends-tracker
JD.com product scraper (China e-commerce)	jd-com-product-scraper
YouTube comments scraper (global comparison)	youtube-comments-scraper

FAQ

Q: How many comments can I pull per video? A: Up to 10K per video per run. Pagination is automatic.

Q: Are replies / nested threads included? A: Yes — parent_id + thread_depth let you reconstruct full conversation trees.

Q: How fresh are the comments? A: Live per run — Bilibili surfaces all public comments in chronological + hot order.

Q: GDPR / PIPL implications? A: Comments are public posts. Author UIDs are visible; you are the controller for downstream processing — follow PIPL / GDPR / your jurisdiction's rules.

Q: Schema stability? A: Schema is versioned; breaking changes are announced via the actor changelog.

Q: Output formats? A: JSON, CSV, Excel via Apify dataset export. Webhooks supported on dataset write.

---

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / item: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata