# TikTok Comments Scraper — Comments & Replies Export (`yasaslive/tiktok-comments-scraper`) Actor

Scrape all comments and replies from any TikTok video: text, likes, reply count, author username, nickname, avatar and timestamp. No login, no browser, fast and cheap. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/yasaslive/tiktok-comments-scraper.md
- **Developed by:** [Eonix Pvt Ltd](https://apify.com/yasaslive) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.36 / 1,000 comment scrapeds

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## TikTok Comments Scraper — Comments & Replies

Export **all comments and replies from any TikTok video** — text, likes, reply count, author username, nickname, profile link and date. **No login, no browser**, so it is fast and one of the cheapest TikTok comment scrapers on Apify.

### What you get

`videoId, videoUrl, commentId, text, likes, replyCount, createdAt, authorUsername, authorNickname, authorProfileUrl, authorAvatar, likedByCreator, language, isReply, parentCommentId`

### Pricing

**$0.40 per 1,000 comments** ($0.0004 each). 10,000 comments ≈ $4. Replies count as comments.

### How to use

1. Paste TikTok video links (full or short vm.tiktok.com links).
2. Set *Max comments per video* and optionally *Include replies*.
3. Run and download as CSV, Excel or JSON, or call it via API.

```json
{ "videoUrls": ["https://www.tiktok.com/@khaby.lame/video/7689510970292489502"], "maxCommentsPerVideo": 500, "includeReplies": true }
```

### Use cases

- Sentiment analysis and product feedback mining
- Finding leads and engaged fans in comment sections
- Giveaway / contest winner picking
- Training data for AI and social listening dashboards

### FAQ

**Do I need a TikTok account?** No.
**Can I scrape comments from many videos?** Yes, add as many URLs as you like — combine with our TikTok Trending Videos or TikTok Downloader actors to get video URLs first.

### Feedback & support

Found a bug or need a field added? Open an issue in the **Issues** tab and we usually reply within 24 hours. If this Actor saved you time, a quick **review on Apify Store** helps other people find it — thank you!

# Actor input Schema

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

Links to TikTok videos. Full links (tiktok.com/@user/video/123...) and short links (vm.tiktok.com/...) both work.

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

Top-level comments to collect per video.

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

Also collect replies to each comment (each reply counts as one result).

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

Only used when 'Include replies' is on.

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

Apify Proxy is recommended.

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.tiktok.com/@khaby.lame/video/7689510970292489502"
  ],
  "maxCommentsPerVideo": 50,
  "includeReplies": false,
  "maxRepliesPerComment": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Comments and replies with likes, authors and dates.

## `allFields` (type: `string`):

Every field for every item.

## `stats` (type: `string`):

Counters for this run.

# 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/@khaby.lame/video/7689510970292489502"
    ],
    "maxCommentsPerVideo": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("yasaslive/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/@khaby.lame/video/7689510970292489502"],
    "maxCommentsPerVideo": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("yasaslive/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/@khaby.lame/video/7689510970292489502"
  ],
  "maxCommentsPerVideo": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call yasaslive/tiktok-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,yasaslive/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/5zvTriPL83sb3JSEJ/builds/xrpNdXJ7zeYkBTFcz/openapi.json
