🧠 Bilibili Sentiment Analysis | B站评论分析 & Chinese Social Media Sentiment

Scrape Bilibili videos and comments, then run AI-powered bilibili sentiment analysis on the data. Get sentiment scores, topic extraction, emotion detection, and chinese audience insights from B站评论分析. The ultimate tool for china market research sentiment and chinese social media sentiment analysis on China's largest video platform — with both rule-based and GPT-4o-mini LLM modes.

Features

• Bilibili Comments Analysis — Extract and analyze comments from videos matching your keywords
• AI-Powered Sentiment — Optional LLM-based analysis using OpenAI GPT-4o-mini for deep insights
• Rule-Based Fallback — Built-in Chinese sentiment lexicon with 70+ positive/negative words and negation detection
• Sentiment Scoring — Per-comment sentiment classification (positive/negative/neutral) with scores
• Aggregate Analysis — Per-video sentiment breakdown with percentages, overall sentiment, and sentiment score
• Top Keywords — Most frequently used positive and negative words across all comments
• Topic Extraction — When using LLM mode, extract discussion topics from each comment
• Spam Detection — LLM mode includes spam classification
• Multi-Keyword — Analyze multiple search keywords in a single run
• No Browser Needed — Direct API access, fast and efficient

Use Cases

• Brand Monitoring — Track sentiment around your brand on B站 (Bilibili)
• China Market Research — Understand chinese social media sentiment for product launches
• Audience Analysis — Get chinese audience insights from real user comments
• Content Evaluation — Measure audience reception of videos and campaigns
• Competitor Analysis — Compare sentiment around competing brands or products
• Trend Detection — Identify emerging positive/negative sentiment shifts
• Academic Research — Study Chinese online discourse and social media patterns
• Bilibili AI Analysis — Leverage AI to process thousands of Chinese comments automatically
• Crisis Monitoring — Detect negative sentiment spikes around your brand in real-time

Input Parameters

Parameter	Type	Required	Default	Description
searchKeywords	array	Yes	["华为"]	Keywords to search on Bilibili
maxVideos	int	No	10	Max videos to analyze per keyword (1-100)
maxCommentsPerVideo	int	No	50	Max comments to extract per video (1-500)
analysisType	select	No	full	sentiment (basic) or full (sentiment + topics + emotion + spam)
openaiApiKey	string	No	""	OpenAI API key for LLM analysis. If empty, uses rule-based analysis
proxyConfiguration	object	No	Apify proxy	Proxy config (residential recommended outside China)

Output Fields

Video Object with Sentiment

Field	Type	Description
bvid	string	Bilibili video ID
aid	int	Bilibili video ID (AV format)
title	string	Video title
author	string	Creator name
viewCount	int	Total views
likeCount	int	Total likes
replyCount	int	Total comments
publishDate	string	ISO date string
tags	array	Video tags
searchKeyword	string	Keyword that matched this video
sentimentSummary	object	Aggregate sentiment analysis (see below)
comments	array	Analyzed comments (see below)
scrapedAt	string	ISO timestamp

Sentiment Summary Object

Field	Type	Description
sentimentBreakdown.positive	int	Count of positive comments
sentimentBreakdown.negative	int	Count of negative comments
sentimentBreakdown.neutral	int	Count of neutral comments
sentimentBreakdown.positivePct	int	Positive percentage
sentimentBreakdown.negativePct	int	Negative percentage
sentimentBreakdown.neutralPct	int	Neutral percentage
overallSentiment	string	Overall: positive, negative, or neutral
sentimentScore	float	Score from -1.0 to 1.0
topPositiveWords	array	Top positive words with frequency
topNegativeWords	array	Top negative words with frequency
totalCommentsAnalyzed	int	Number of comments analyzed

Comment Object with Analysis

Field	Type	Description
content	string	Comment text (Chinese)
author	string	Commenter name
likes	int	Comment likes
timestamp	string	ISO date string
sentimentAnalysis.sentiment	string	positive / negative / neutral
sentimentAnalysis.score	float/int	Sentiment score
sentimentAnalysis.positiveWords	array	Positive words found (rule-based)
sentimentAnalysis.negativeWords	array	Negative words found (rule-based)
sentimentAnalysis.topics	array	Discussion topics (LLM mode only)
sentimentAnalysis.emotion	string	Detected emotion (LLM mode only)
sentimentAnalysis.is_spam	bool	Spam classification (LLM mode only)

Analysis Modes

Rule-Based (No API Key)

• Fast, free, no external dependencies
• Chinese sentiment lexicon with 70+ words
• Negation detection (不/没/别/无/非 prefixes)
• Positive/negative/neutral classification
• Word frequency aggregation

LLM-Powered (With OpenAI API Key)

• GPT-4o-mini for deep Chinese language understanding
• Topic extraction from each comment
• Emotion detection (joy, anger, surprise, etc.)
• Spam/ad detection
• More accurate sentiment scoring (-1.0 to 1.0)
• Better handling of sarcasm and context

How It Works

1. Input keywords — Provide brand or topic keywords to search on Bilibili (e.g., "华为", "iPhone")
2. Video scraping — The actor searches Bilibili and fetches matching videos with metadata
3. Comment extraction — Comments are scraped from each video via Bilibili's reply API
4. Sentiment analysis — Each comment is classified as positive/negative/neutral using rule-based or LLM analysis
5. Aggregation — Per-video sentiment summaries with percentages, top keywords, and overall scores
6. Structured JSON output — Results saved to Apify dataset, ready for dashboards and reports

Pricing

This Actor uses pay-per-event pricing:

Event	Cost
Actor start (1GB RAM)	$0.01
Video analyzed	$0.02
Comment sentiment analyzed	$0.005

Example: 3 keywords × 10 videos × 50 comments = $0.01 + (30 × $0.02) + (1500 × $0.005) = $8.16

Technical Details

This bilibili sentiment analysis tool combines scraping and AI analysis:

• Search: api.bilibili.com/x/web-interface/search/type
• Comments: api.bilibili.com/x/v2/reply/main
• Sentiment: Rule-based Chinese lexicon or OpenAI GPT-4o-mini API

No headless browser needed. Cookie-based access handled automatically. Residential proxies recommended outside China.

Runtime & SDK

• Runtime: Node.js 20
• SDK: Apify SDK v3 + Crawlee v3
• AI: OpenAI GPT-4o-mini (optional, for LLM mode)

Why Use This vs Alternatives?

Feature	This Actor	Chinese Brand Monitor	Bilibili Scraper (comments only)
Sentiment scoring	✅	✅ (basic)	❌
Rule-based + LLM modes	✅	❌	❌
Per-comment analysis	✅	❌	❌
Emotion detection	✅	❌	❌
Topic extraction	✅	❌	❌
Spam detection	✅	❌	❌
Top keyword extraction	✅	❌	❌
Multi-keyword support	✅	✅	❌
Aggregate summaries	✅	✅	❌
Free rule-based mode	✅	❌	N/A

FAQ

Keywords

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