# TikTok Comments Scraper — replies, no duplicates (`mu0i/tiktok-comments-scraper`) Actor

Every comment on a TikTok video, paginated without duplicates: text, likes, reply counts, author handle and user id, timestamps, and threaded replies. Competitors overlap pages ~50%; these 1,000 comments are 1,000 distinct comments. No login, no cookies.

- **URL**: https://apify.com/mu0i/tiktok-comments-scraper.md
- **Developed by:** [Mu0i](https://apify.com/mu0i) (community)
- **Categories:** Social media, AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.45 / 1,000 comments

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### TikTok Comments Scraper — replies, no duplicates

Give it TikTok video URLs. Get back every comment as flat rows: text, author, like count, reply count,
timestamp. No login, no cookies, no browser.

### What makes this one different

TikTok's comment endpoint re-ranks its results on every request, so paging through a video returns the **same
comments more than once**. Measured on a video with 8,446 comments: page two repeated 9–10 of the 20 comments
from page one, and a four-page walk of 20 collected **65 distinct comments instead of 80**.

This Actor eliminates that. The same five-page walk of the same video, paged the naive way and then with the
de-duplication this Actor uses:

| | distinct comments in 99 returned rows |
|---|---|
| paging by cursor alone | 81 — eighteen rows were repeats |
| the way this Actor pages | **99** |

A run of this Actor collecting 120 comments returned 120 rows with 120 distinct comment IDs and zero duplicates.

So `1,000 results` here means 1,000 *different* comments. Worth checking against anything you compare it with.

### How to use

1. Click **Try for free** at the top of this page. Apify creates a free account if you do not have one — no card is needed to run this.
2. Put what you want scraped into **Video URLs** — one per line.
3. Set **Max comments per video** to bound the run, then press **Start**. You are billed per row, so this field is also your budget.
4. Rows show up in the **Dataset** tab *while the run is still going*. Export to JSON, CSV, Excel or XML from there, or read them over the API.

### Input

| field | | |
|---|---|---|
| `videoUrls` | required | Full video URLs, or bare numeric video IDs. One per line. |
| `maxCommentsPerVideo` | default 100 | Stops once this many distinct comments are collected. Popular videos have tens of thousands, so this is what bounds the run. |
| `includeReplies` | default off | Also fetch the reply thread under each comment that has one. Costs one extra request per such comment. |
| `maxRepliesPerComment` | default 10 | Only used when replies are on. |

Every field, with its default — paste the whole block and delete what you do not need:

```json
{
  "videoUrls": [
    "https://www.tiktok.com/@tiktok/video/7283509500307442987"
  ],
  "maxCommentsPerVideo": 100,
  "includeReplies": false,
  "maxRepliesPerComment": 10
}
```

### Output

One row per comment. Replies are rows too, marked `isReply` with `parentCommentId` pointing at the comment they
answer.

| field | |
|---|---|
| `videoId` | the video this comment is on |
| `commentId` | unique per comment |
| `text` | the comment |
| `likeCount`, `replyCount` | |
| `createdAt` | ISO 8601 |
| `isPinned` | pinned by the creator |
| `isReply`, `parentCommentId` | `parentCommentId` is null for top-level comments |
| `authorUniqueId`, `authorNickname`, `authorId`, `authorAvatar` | |
| `language` | as TikTok labels the comment |

One row, exactly as it lands in your dataset (long signed CDN links shortened here for readability):

```json
{
  "videoId": "7663093059894250765",
  "commentId": "7663492097354040078",
  "text": "DAD IM FUCKING HUNGRY",
  "likeCount": 2253,
  "replyCount": 47,
  "createdAt": "2026-07-17T13:43:57.000Z",
  "isPinned": false,
  "isReply": false,
  "parentCommentId": null,
  "authorUniqueId": "kwiz178",
  "authorNickname": "Baby tung tung",
  "authorId": "7364413788067611691",
  "authorAvatar": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-avt-0068-tx/481c0…?…",
  "language": "en"
}
```

### Notes

- A video with comments disabled, or a private or deleted video, returns no rows for that video and logs why.
  Other videos in the same run are unaffected.
- Comment counts move while you page — new comments arrive at the top. The run collects a consistent set for
  the moment it started; it is not a live feed.
- Only public data. There is no login, so anything TikTok hides from a logged-out visitor is not available here.

#### Run it from your own code

Every Actor is an API endpoint. This starts a run, waits for it, and returns the rows in one call — swap in your token from **Settings → Integrations**:

```bash
curl -X POST 'https://api.apify.com/v2/acts/mu0i~tiktok-comments-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "videoUrls": [
      "https://www.tiktok.com/@tiktok/video/7283509500307442987"
    ],
    "maxCommentsPerVideo": 100,
    "includeReplies": false,
    "maxRepliesPerComment": 10
  }'
```

### Pricing

Pay per result — you are billed for rows you receive, not for time or compute.

| Event | Per 1,000 | What one unit is |
|---|---:|---|
| `comment` | $1.00 | one comment in the dataset |

**Paid Apify plans pay less than this.** The table above is the free-plan rate. Starter, Scale and Business each get a lower per-unit price — up to **55% off** on Business — and the Actor's Pricing tab shows every tier before you run anything.

**Starting a run costs $0.00001** — a cent per thousand runs — and there is no run minimum. **You are never billed for a run that found nothing.** If an input has nothing to collect the run says so
in a row of the dataset — never a silently empty result, and never a charge. A run that fails because the
data could not be *reached* fails loudly, because that one is worth retrying.

### Related Actors

Fourteen Actors covering the whole public TikTok surface. Same billing rules and the same guarantees throughout: billed once for each row you receive, never billed for a run that found nothing, and told in the dataset why it found nothing.

| Actor | What it does |
|---|---|
| [TikTok Search Scraper — videos, users, hashtags](https://apify.com/mu0i/tiktok-search-scraper) | Keyword search across every tab, deduplicated. |
| [TikTok Hashtag Scraper — videos by hashtag](https://apify.com/mu0i/tiktok-hashtag-scraper) | Every video under a hashtag, walked deep. |
| [TikTok Trending Scraper — the real Explore feed](https://apify.com/mu0i/tiktok-trending) | The app's real Explore feed, not Creative Center. |
| [TikTok Profile Scraper — followers, likes, bio](https://apify.com/mu0i/tiktok-profile-scraper) | Followers, likes, bio for any public account. |
| [TikTok User Posts Scraper — every video + stats](https://apify.com/mu0i/tiktok-user-posts) | Every video an account posted, with stats. |
| [TikTok Video Downloader — no watermark MP4/MP3](https://apify.com/mu0i/tiktok-video-downloader) | No-watermark MP4, MP3, covers and subtitles. |
| [TikTok Transcript Scraper — no AI, no waiting](https://apify.com/mu0i/tiktok-transcripts) | Subtitles from TikTok's own caption track. |
| [TikTok Sound Scraper — videos using a sound](https://apify.com/mu0i/tiktok-sound-scraper) | Videos that actually use a sound, filtered. |
| [TikTok Live Scraper — rooms, viewers, streams](https://apify.com/mu0i/tiktok-live-scraper) | Live rooms with playable stream links. |
| [TikTok Places Scraper — locations and reviews](https://apify.com/mu0i/tiktok-places-scraper) | Locations with addresses, coordinates and reviews. |
| [TikTok Shop Scraper — Products, Sellers & Reviews](https://apify.com/mu0i/tiktok-shop-scraper) | Shop search, product detail, seller catalogue. |
| [TikTok Shop Category Scraper — every product](https://apify.com/mu0i/tiktok-shop-category-scraper) | Every product in a Shop category and its subcategories. |
| [TikTok Shop Reviews Scraper — full archive](https://apify.com/mu0i/tiktok-shop-reviews-scraper) | The full review archive for a Shop product. |

# Actor input Schema

## `videoUrls` (type: `array`):

Full video URLs (https://www.tiktok.com/@user/video/123…) or bare numeric video IDs. One per line. Short vm.tiktok.com / vt.tiktok.com links are NOT resolved — open one in a browser and paste the full URL it lands on.

## `maxCommentsPerVideo` (type: `integer`):

Stops the walk once this many DISTINCT comments have been collected for a video. Popular videos have tens of thousands, so this is what bounds the run's cost.

## `includeReplies` (type: `boolean`):

Fetch the reply thread under each comment that has one. This costs one extra request per such comment, so it can multiply the run's size — leave it off unless you need threads.

## `maxRepliesPerComment` (type: `integer`):

Only used when replies are enabled.

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.tiktok.com/@tiktok/video/7283509500307442987"
  ],
  "maxCommentsPerVideo": 100,
  "includeReplies": false,
  "maxRepliesPerComment": 10
}
```

# Actor output Schema

## `results` (type: `string`):

Every comment and reply collected, one row each.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "videoUrls": [
        "https://www.tiktok.com/@tiktok/video/7283509500307442987"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mu0i/tiktok-comments-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "videoUrls": ["https://www.tiktok.com/@tiktok/video/7283509500307442987"] }

# Run the Actor and wait for it to finish
run = client.actor("mu0i/tiktok-comments-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "videoUrls": [
    "https://www.tiktok.com/@tiktok/video/7283509500307442987"
  ]
}' |
apify call mu0i/tiktok-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mu0i/tiktok-comments-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ciu9zWtj3dowRjwjU/builds/UehiEPWPClUXQiWWX/openapi.json