# TikTok Comments Scraper (`electrabot.info/tiktok-comments-scraper`) Actor

Scrape all comments from TikTok videos with threaded replies, like counts, author details, and sentiment analysis. No login. Pay per comment.

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

## Pricing

from $0.80 / 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.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

Scrape **all comments from any TikTok video** — text, like counts, reply counts,
author details, exact timestamps, threaded replies, and **sentiment analysis on
every comment** — as JSON, CSV, or Excel.

No login, no cookies, no browser. Paste video URLs and get structured comments back.

**Pay per result** — you're charged per comment delivered. Removed or private
videos are reported and **not charged**.

Pairs with our [TikTok Video Scraper](https://apify.com/electrabot.info/tiktok-video-scraper):
that one gives you a video's stats, this one gives you what people said about it.

***

### What can I use it for?

- **Audience research** — read what your (or a competitor's) audience actually says, at scale, with sentiment already scored.
- **Brand & campaign monitoring** — track the reaction to a sponsored post: is the sentiment shifting, and which comments are driving it?
- **Product feedback mining** — the complaints and requests under a viral product video are free market research.
- **Influencer vetting** — real engagement looks different from bot engagement; comment text and author data show which is which.
- **Training data / AI** — clean, structured, sentiment-labelled short-form text.

***

### Input

| Field | Required | Description |
|-------|----------|-------------|
| **Video URLs or IDs** | ✔ | Full links, `vm.tiktok.com` short links, or bare numeric IDs. |
| **Max comments per video** | – | 1–5,000 (default 100). Each comment is one billable result. |
| **Include replies** | – | Also fetch replies to each comment, linked by `parentCommentId`. Replies count toward the max. |
| **Proxy configuration** | – | **Automatic by default:** datacenter proxy first, escalating to RESIDENTIAL only if TikTok blocks it. |

### Output

One record per comment (and per reply):

```json
{
  "commentId": "7650123456789",
  "videoId": "7650013911164488991",
  "videoUrl": "https://www.tiktok.com/@nba/video/7650013911164488991",
  "text": "Frame this forever if Knicks win chip",
  "likeCount": 107254,
  "replyCount": 95,
  "createdAt": "2026-06-11T09:26:26+00:00",
  "authorHandle": "ajvitolo",
  "authorName": "AJ",
  "authorAvatar": "https://p16.tiktokcdn.com/…",
  "isPinned": false,
  "isAuthorLiked": true,
  "isReply": false,
  "parentCommentId": null,
  "sentiment": "positive"
}
```

**Sentiment** (`positive` / `neutral` / `negative`) is scored on every comment
with VADER, tuned for social-media text — no extra call, no extra charge.

### Honest by design

If a video has more comments than you asked for, we **tell you** — the run's
status message and `SUMMARY` report `commentsAvailable` vs `commentsScraped`
per video. A partial scrape is never presented as a complete one.

Other reliability guarantees:

- **Fail-loud contract** — a changed TikTok API raises a loud error instead of silently delivering an empty dataset.
- **Dead videos handled per-item** — a removed or private video is reported (and not charged) while the rest of the batch continues.
- **Tiered proxy** — datacenter first, automatic escalation to residential only when blocked.
- **Resumable** — if a run is aborted or capped, resurrect it: delivered comments are never re-scraped or re-charged.

### Usage from code

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("electrabot.info/tiktok-comments-scraper").call(
    run_input={
        "videoUrls": ["https://www.tiktok.com/@nba/video/7650013911164488991"],
        "maxComments": 500,
        "includeReplies": True,
    }
)
rows = list(client.dataset(run["defaultDatasetId"]).iterate_items())
neg = [r for r in rows if r["sentiment"] == "negative"]
print(f"{len(neg)}/{len(rows)} negative")
```

### FAQ

**Why did I get fewer comments than the video shows?**
TikTok filters some comments server-side (spam, deleted, restricted), so the
public count is usually higher than what its API will serve. We always report
what was available vs what we delivered — nothing is hidden.

**Do replies count as results?**
Yes — each reply is a comment record and is billed as one result. Turn
**Include replies** off if you only want top-level comments.

**Is scraping TikTok legal?**
This actor accesses only publicly available comments. You are responsible for
complying with applicable laws and TikTok's Terms of Service.

***

### Disclaimer

**This is an unofficial tool. It is not affiliated with, endorsed by, sponsored by,
or in any way officially connected to TikTok or ByteDance Ltd.** "TikTok" and
related names, marks, and logos are trademarks of their respective owners and
are used here for descriptive purposes only.

This actor accesses only **publicly available** information. You are responsible
for ensuring your use complies with applicable laws, TikTok's Terms of Service,
and applicable rate-limiting rules. Use it ethically and at your own risk.

# Actor input Schema

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

TikTok video links (https://www.tiktok.com/@user/video/123...), short links (vm.tiktok.com/...), or bare numeric video IDs.

## `maxComments` (type: `integer`):

Comments to scrape per video (1-5000). Each comment is one billable result. If a video has more, the run reports exactly how many were available vs scraped.

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

Also fetch replies to each comment (threaded, linked by parentCommentId). Replies count toward 'Max comments per video'.

## `proxyConfiguration` (type: `object`):

Automatic by default: datacenter proxy first, escalating to RESIDENTIAL only if TikTok blocks it.

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.tiktok.com/@nba/video/7650013911164488991"
  ],
  "maxComments": 100,
  "includeReplies": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `comments` (type: `string`):

One record per comment (and reply): text, likes, author, sentiment, threading.

## `runSummary` (type: `string`):

Per-video comments available vs scraped, plus failures.

# 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/@nba/video/7650013911164488991"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("electrabot.info/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/@nba/video/7650013911164488991"],
    "proxyConfiguration": { "useApifyProxy": True },
}

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

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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/@nba/video/7650013911164488991"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call electrabot.info/tiktok-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=electrabot.info/tiktok-comments-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/hubCu4CwI2ILRj7VO/builds/iTbh3OEkAFqNl0SGP/openapi.json