What is TikTok Comments Scraper?
TikTok Comments Scraper extracts comments, replies, and engagement data from any TikTok video. Perfect for sentiment analysis, audience research, and understanding community reactions.
Key Use Cases
Sentiment Analysis
Export comments and run them through NLP tools to gauge audience perception of brands, products, or topics.
Audience Research
Understand what resonates with viewers by analyzing the conversations under viral content.
Competitor Monitoring
Track how audiences respond to competitor content and identify gaps in their engagement.
Community Insights
Discover frequently asked questions, common pain points, and topics your audience cares about.
Data You Can Extract
For each comment, InsightSocial captures:
- Comment content: Full text including emojis
- Engagement: Likes on the comment, reply count
- Author info: Username, display name, profile link
- Context: Parent video URL, timestamp, reply threading
Sentiment Analysis Workflow
- Extract comments from target videos
- Export to CSV for processing
- Import to analysis tool (MonkeyLearn, Python NLP, etc.)
- Categorize sentiment as positive, negative, or neutral
- Identify themes in each sentiment category
Best Practices
Focus on High-Engagement Videos
Comments on viral videos provide richer data than low-engagement content.
Preserve Thread Context
Keep reply relationships intact to understand conversation flow.
Filter for Relevance
After export, use spreadsheet filters to focus on comments containing specific keywords.
Regular Monitoring
For brand monitoring, extract comments weekly to track sentiment trends over time.