Tiktok Comments Scraper

TikTok Comments Scraper 🚀

Manually visiting videos to collect audience feedback wastes hours you don’t have. TikTok Comments Scraper pulls TikTok comment data for you—so you can analyze engagement patterns, extract text, and build datasets fast. Use this TikTok comment scraper (and TikTok comments export tool) for marketing, research, and growth teams that need reliable TikTok comment data scraper results at scale—often thousands of records in minutes.

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What You Get: Sample Output

Here’s a sample record from a single run:

{
  "videoWebUrl": "https://www.tiktok.com/@voicer_nayem_69/video/7576465859598634258",
  "text": "Amazing transformation! 🔥",
  "createTimeISO": "2025-05-28T14:22:19.000Z",
  "diggCount": 124,
  "replyCommentTotal": 3,
  "uniqueId": "jane_creator",
  "uid": "1000123456789",
  "cid": "1234567890123456789",
  "avatarThumbnail": "https://p16-sign.tiktokcdn-us.com/tos-useast5-avt-123/abc123def456.png"
}

Field	Type	What It Tells You
videoWebUrl	string	The TikTok video URL this comment belongs to (useful for joining back to video metadata)
text	string	The actual comment text you’ll analyze for themes, sentiment, or brand mentions
createTimeISO	string	When the comment was posted, in ISO format for time-series reporting
diggCount	number	How many likes the comment received (a quick engagement proxy)
replyCommentTotal	number	How many replies the comment has, so you can spot deeper discussions
uniqueId	string	The commenter’s username/handle for attribution and filtering
uid	string	The commenter’s user ID for deduping across runs
cid	string	The comment ID, which you can use as a stable key in your own pipelines
avatarThumbnail	string	A thumbnail image URL for UI preview or enrichment workflows
submittedVideoUrl	string	The original video URL you provided as input (handy when you pass multiple URL formats)
input	string	The video URL used as input for this scrape (useful for traceability)

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

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Why TikTok Comments Scraper?

There are a lot of ways to pull data from TikTok—here’s what sets TikTok Comments Scraper apart.

Scrapes directly into an Apify dataset

Your results are appended as they’re found, so you don’t have to wait for the full job to finish before reviewing outputs.

Built for comment-level analysis

This TikTok comments export tool focuses on the comment fields you typically need for analytics scraper workflows: text, timestamps, likes, reply totals, and user identifiers.

Controls for how much you collect per video

You can cap the number of comments per post, limit top-level comments, and control reply depth using the actor’s input parameters.

Resilient, production-friendly scraping

Built-in resilience helps keep runs stable and continues collecting what it can even when some requests fail.

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Configuring Your Run

Drop this into your input.json to get started:

{
  "postURLs": [
    "https://www.tiktok.com/@voicer_nayem_69/video/7576465859598634258"
  ],
  "commentsPerPost": 100,
  "topLevelCommentsPerPost": 5,
  "maxRepliesPerComment": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Parameter	Required	What It Does
postURLs	✅	List of TikTok video URLs to scrape. You can pass single video URLs or a user’s video URLs.
commentsPerPost	⬜	Maximum number of comments to scrape per video.
topLevelCommentsPerPost	⬜	Maximum number of top-level comments to scrape per video.
maxRepliesPerComment	⬜	Maximum number of replies to scrape per comment.
↳ proxyConfiguration	⬜	Proxy settings for the run (the actor expects this object at runtime).

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Core Capabilities

Flexible video input for your research list

TikTok Comments Scraper accepts postURLs as an array, so you can run a single video test or a full batch of videos in one job—ideal for a TikTok comment crawler workflow.

Output designed for downstream analytics

Each scraped record includes comment text, timestamps (createTimeISO), engagement signals (diggCount and replyCommentTotal), and identifiers (uid, cid, uniqueId) that make TikTok comments sentiment scraper or theme-analysis pipelines easier.

Limits that help you control dataset size

Use commentsPerPost, topLevelCommentsPerPost, and maxRepliesPerComment to shape the dataset you need—whether you want quick snapshots or deeper discussion threads.

Live dataset writing for faster iteration

Results are pushed directly to the Apify output dataset as the run progresses, so you can monitor progress and review partial outputs sooner.

Built-in proxy support for more reliable runs

The actor includes built-in proxy support for reliable scraping when running larger batches or repeatedly.

In short: TikTok Comments Scraper is a practical TikTok comment extraction tool for turning public TikTok comment activity into structured data you can analyze.

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Who Gets the Most Out of This

Here’s how different teams put TikTok Comments Scraper to work:

Marketing analysts use it to scrape TikTok comments at scale, then identify what messages get the most likes, replies, and repeat themes across videos.

Influencer and brand partnerships teams use it to understand audience reaction by pulling commenter identifiers (uniqueId, uid, cid) and comment text for shortlist validation and audience fit.

Recruiters and community managers use a TikTok comments downloader approach to map active community members and engagement hotspots from a list of video links.

Researchers and data scientists run TikTok comment data scraper jobs to build time-series datasets using createTimeISO, then model engagement or extract topic patterns over time.

Developers and automation specialists integrate results into their workflows via scheduled runs and programmatic access, treating this TikTok comment scraper API-style dataset as an upstream data source.

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Step-by-Step: How to Use It

No coding needed. Here's how to run TikTok Comments Scraper from start to finish:

1. Open the actor on Apify — go to console.apify.com and open TikTok Comments Scraper.
2. Enter your inputs — add your TikTok video links in postURLs, and optionally set commentsPerPost, topLevelCommentsPerPost, and maxRepliesPerComment.
3. Configure proxy settings — enable the actor’s proxy configuration for improved reliability on larger batches.
4. Hit Run and watch the live log — monitor progress as it processes each URL.
5. View results in the dataset tab — comments are written into the Apify dataset as they’re collected.
6. Export as JSON, CSV, or Excel — download the dataset in the format you need for analysis or reporting.

The whole process takes under 5 minutes to set up.

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Integrations & Export Options

Once your data is collected, TikTok Comments Scraper plugs directly into your existing workflow.

You can download results from the Apify dataset tab as JSON, CSV, or Excel, making it easy to load into spreadsheets, BI tools, or custom analysis environments.

For automation and routing, you can connect your run via API access (see apify.com/docs/api), and use webhooks to trigger downstream actions like sending results to your team tools. Zapier / Make (Integromat) can also be used for no-code routing, and you can set up scheduled runs to automate repeat scraping.

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Pricing & Free Trial

TikTok Comments Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started. You’ll typically start with a small amount of platform credits to validate your workflow with a test run. For ongoing usage, Apify pricing is based on usage (compute on the Apify platform), and you can scale as your data needs grow. Start for free at apify.com and scale when you're ready.

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Reliability & Performance

What We Handle	How
Rate limits & unstable responses	Resilient request handling with retries and fallbacks
Proxy reliability needs	Built-in proxy support to improve scraping stability
End-of-data scenarios	Stops once no more comments are returned
Error cases during extraction	Continues safely and records only what it can collect
Dataset usability	Outputs structured records directly into the Apify dataset

Limitations: This actor works with publicly available data. Content that’s not accessible publicly or videos that don’t return comment data may produce fewer results than expected. For enterprise-scale requirements, you may need a tailored configuration.

For enterprise-scale runs, contact us to discuss custom configurations.

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Frequently Asked Questions

Is there a free plan or trial?

Yes. TikTok Comments Scraper runs on Apify, which offers a free tier so you can test before scaling. You can start with platform credits to validate your inputs and expected output volume.

Do I need to log in to TikTok to use this?

No. This actor is designed for scraping publicly available data from TikTok video pages and producing structured comment records for your analysis.

How accurate is the data?

The output reflects what’s returned from publicly available comment data, including the comment text (text), timestamps (createTimeISO), and engagement metrics like diggCount. Accuracy depends on what the platform exposes publicly for the target videos.

How many results can I get per run?

You control result volume using commentsPerPost (maximum comments per video). You can further shape the dataset with topLevelCommentsPerPost and maxRepliesPerComment.

How often is the data updated / how fresh is it?

The dataset is generated at run time. If you need fresher comment data, run the actor again on a schedule to refresh your exports.

Is this legal? Does it comply with GDPR / CCPA?

Use responsibly. This actor processes publicly available data, but it’s still your responsibility to comply with GDPR, CCPA, TikTok terms, and any applicable local regulations when collecting and storing the results.

Can I export results to Google Sheets or Excel?

Yes. You can export from the Apify dashboard as JSON, CSV, or Excel and then import into Google Sheets or other spreadsheet tools.

Can I run this on a schedule automatically?

Yes. You can set up scheduled runs on Apify to run TikTok Comments Scraper automatically and keep datasets fresh.

Can I access this via API?

Yes. You can retrieve results programmatically via the Apify API. Refer to the Apify developer documentation for details.

What happens if the actor hits an error?

The actor uses resilient handling and continues collecting results when possible. If requests fail or no data is returned, it stops based on the run flow and writes whatever comment records it can extract into the dataset.

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Need Help or Have a Request?

Got a question about TikTok Comments Scraper or want a new feature added? Reach out at dataforleads@gmail.com. We welcome requests like “keyword-based comment filtering” and “webhook notifications on completion.” The actor is actively maintained based on user feedback.

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Disclaimer & Responsible Use

TikTok Comments Scraper is the fastest, most reliable way to build structured comment datasets from public TikTok videos—start your free run today.

This actor collects publicly available data from TikTok. It does not access private accounts, login-gated content, or password-protected pages. You are responsible for complying with GDPR, CCPA, TikTok’s Terms of Service, and any applicable laws when using the results. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.