๐Ÿ’ฌ TikTok Comments Scraper - Audience Sentiment avatar

๐Ÿ’ฌ TikTok Comments Scraper - Audience Sentiment

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๐Ÿ’ฌ TikTok Comments Scraper - Audience Sentiment

๐Ÿ’ฌ TikTok Comments Scraper - Audience Sentiment

Extract TikTok comments instantly. Get comment text, likes, replies, author info, and timestamps from any video URL. Browser-based approach ensures 99% success rate. No proxy needed. Fast extraction at ~50 comments/request. Perfect for sentiment analysis, influencer research & lead generation.

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from $0.25 / 1,000 results

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๐Ÿ’ฌ TikTok Comments Scraper โ€” Audience Sentiment From Any Video

Extract comments from any TikTok video โ€” comment text, author username and nickname, like counts, reply counts, timestamps and language โ€” as clean, structured data. A browser-based approach loads the real video page and pulls comments from within a live session, so it works reliably with no proxy and no API key required. Paste one video URL or a whole list, and get every comment as a tidy row ready for sentiment analysis, brand monitoring or research. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

๐Ÿ’ฌ What is the TikTok Comments Scraper?

It turns any TikTok video into a structured comment dataset. Give it one or more video URLs (standard, mobile vm.tiktok.com, or raw video IDs all work) and an optional per-video comment cap, and it returns every comment with full author details, engagement metrics, timestamps and reply linkage โ€” so analysts, brands and researchers can measure how an audience really reacts without scrolling through TikTok by hand. Because comments are read from inside a real browser session, the scraper sidesteps the CAPTCHAs and rate limits that block naive API calls, and it deduplicates as it paginates so you never get the same comment twice.

What data does it extract?

  • Comment text and the video ID it belongs to
  • Author info โ€” unique_id (username), nickname, user id, avatar and verified flag
  • Engagement โ€” likes (digg count) and reply_count
  • Timestamps โ€” both ISO created_at and raw create_time
  • Reply linkage โ€” reply_to_comment_id and reply_to_user_id for threaded replies
  • Language of the comment
  • Bulk support โ€” pass multiple video URLs and scrape them all in one run

โฌ‡๏ธ Input

Pass a list of videos, or a single URL โ€” and cap how many comments per video:

FieldDescription
videoUrlsList of TikTok video URLs or IDs (standard, vm.tiktok.com, or raw IDs)
videoUrlAlternative single video URL โ€” use this or videoUrls, not both
maxCommentsMax comments per video (1โ€“50000, default 1000); ~50 fetched per call
headlessRun the browser in headless mode (default true; set false to debug)

Example input

{
"videoUrls": [
"https://www.tiktok.com/@tiktok/video/7580840854445706518"
],
"maxComments": 500,
"headless": true
}

โฌ†๏ธ Output

Every comment is one clean row (view as a table, or export JSON / CSV / Excel):

{
"id": "7580841234567890123",
"text": "This is amazing! ๐Ÿ”ฅ",
"video_id": "7580840854445706518",
"created_at": "2026-05-27T18:30:00",
"create_time": 1748370600,
"likes": 1420,
"reply_count": 12,
"author": {
"id": "6789012345678901234",
"unique_id": "jane.doe",
"nickname": "Jane Doe",
"avatar": "https://p16-sign.tiktokcdn.com/...",
"verified": false
},
"reply_to_comment_id": null,
"reply_to_user_id": null,
"language": "en"
}

๐Ÿ’ก Use cases

  • ๐ŸŽฏ Brand monitoring: track how audiences react to your branded TikTok content and surface complaints or praise as they happen.
  • ๐Ÿง  Sentiment analysis: feed real audience reactions straight into NLP models to score tone, themes and emotion at scale.
  • โญ Influencer marketing: measure engagement quality on creator videos before you spend on a partnership.
  • ๐Ÿ“Š Market & competitor research: mine comments on trending and competitor videos to understand what an audience actually wants.

โ“ FAQ

How do I scrape comments from a TikTok video? Paste one or more video URLs into videoUrls (or a single URL into videoUrl), optionally set maxComments, then Run. You get every comment with author, likes, replies, timestamp and language.

Do I need an API key? No. The scraper loads the public video page in a real browser and reads comments from within that session โ€” no TikTok API key or login is required.

Do I need a proxy? No. The browser-based approach works out of the box without any proxy configuration.

What video URL formats are supported? Standard tiktok.com/@user/video/ID links, mobile vm.tiktok.com links, and raw numeric video IDs are all accepted.

Does it capture reply threads? Yes โ€” replies come through with reply_to_comment_id and reply_to_user_id set, so you can reconstruct conversation threads.

How many comments can it return per video? Up to your maxComments cap (1โ€“50000, default 1000). It paginates automatically, fetching roughly 50 comments per call.

Can I scrape several videos at once? Yes โ€” put every URL in videoUrls and they are processed one after another in a single run.

How fresh is the data? It is live. Each run loads the current video page and fetches the comments that exist at that moment, deduplicated so every row is unique. It runs headless by default; set headless: false only if you want to watch it work.

Can I run it on a schedule or via API? Yes โ€” schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n to track comment growth on a video over time.

Is scraping TikTok comments legal? It only retrieves publicly visible comments. Use it responsibly for research and analytics, handle any personal data in line with GDPR and similar laws, and follow TikTok's terms.

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