Key Takeaway
Scrape TikTok Comments from Post lets you scrape comments from public tiktok videos. — at 1 credit per run. It is part of SyncGTM's 15+ lead source library .
What is Scrape TikTok Comments from Post?
Scrape TikTok Comments from Post extracts comment data from any public TikTok video, returning commenter usernames, comment text, like counts, reply counts, and timestamps. TikTok has grown into a dominant content platform with over 1.5 billion monthly active users, and its comment sections are rich with audience engagement data, purchase intent signals, and brand sentiment that GTM teams can leverage for market research and lead generation.
For consumer-facing brands and D2C companies, TikTok comments reveal unfiltered buyer sentiment at massive scale. Comments like 'where can I buy this?', 'does this come in other colors?', and 'just ordered mine!' indicate direct purchase intent. Marketing teams analyze comment patterns across viral videos to understand audience demographics, common objections, and trending opinions. Influencer marketing teams use comment quality analysis to vet potential partners -- high comment counts with genuine, relevant comments signal authentic engagement versus inflated metrics.
Each run costs 1 credit and returns structured comment data from a single TikTok video URL. Output includes commenter usernames, full comment text, like counts per comment, reply thread counts, and timestamps. This data integrates with SyncGTM workflows for trend analysis, sentiment monitoring, and building audience profiles based on social engagement signals.
Once your data is in SyncGTM, you can run it through waterfall enrichment to fill in missing emails, phone numbers, and firmographics from 75+ data providers. Pair this lead source with SyncGTM's enrichment actions and push clean, enriched records directly to your connected CRM or outreach tool. Learn more about how waterfall enrichment works.
How it works
- 1
Provide the URL of the TikTok video to extract comments from.
- 2
Optionally set a limit on the number of comments to retrieve.
- 3
SyncGTM scrapes the video's comment section and structures the data.
- 4
Results include usernames, comment text, like counts, and reply counts.
- 5
Analyze comment sentiment, detect purchase intent, or audit engagement quality.
Use cases
Purchase Intent Detection at Scale
Extract comments from product-related TikTok videos to identify users expressing buying interest, price questions, and availability inquiries.
Influencer Partnership Vetting
Analyze comment quality on potential influencer partner videos to verify genuine audience engagement versus bot-driven or low-quality interactions.
Brand Sentiment Monitoring
Scrape comments from videos mentioning your brand to track real-time audience sentiment, identify issues, and surface opportunities for community engagement.
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