# TikTok Comments & Replies Scraper (No Cookie) (`datadoping/tiktok-comment-reply-scraper`) Actor

Scrape unlimited TikTok comments, replies, likes & user data at high speed. No login or proxy needed. Input URLs export to JSON/CSV, and scale for research, leads, or trend analysis.

- **URL**: https://apify.com/datadoping/tiktok-comment-reply-scraper.md
- **Developed by:** [Data Doping](https://apify.com/datadoping) (community)
- **Categories:** Developer tools, Lead generation, Social media
- **Features:** Limited permissions, Single-tenant, Server interface
- **Stats:** 80 total users, 20 monthly users, 77.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 comment/replies

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 and Replies Scraper

Extract public TikTok comments and replies from one or multiple videos with a focused, cost-efficient actor.

This actor is built for teams that need structured TikTok comment data for analytics, social listening, moderation insights, lead research, and machine learning datasets.

### What this actor does

- Scrapes TikTok video comments using cursor-based pagination
- Optionally scrapes replies for each comment
- Supports multiple input URLs or IDs in one run
- Accepts direct TikTok video links, video IDs, and comment-share links
- Works well with Apify Dataset exports (JSON, CSV, Excel, XML)

### Input

#### Supported input fields

```json
{
  "video_id_or_url": [
    "https://www.tiktok.com/@bellapoarch/video/6862153058223197445"
  ],
  "max_comments": 100,
  "scrape_replies": true,
  "max_replies": 20
}
```

#### Input format details

- `video_id_or_url` (required, array of strings)
  - TikTok video URL (example: `https://www.tiktok.com/@user/video/7306132438047116586`)
  - TikTok mobile share URL containing `share_item_id`
  - Raw TikTok video ID (numeric string)
  - TikTok comment share URL containing both `share_item_id` (video ID) and `share_comment_id` (comment ID)
- `max_comments` (optional, integer): max comments per video
- `scrape_replies` (optional, boolean): include replies
- `max_replies` (optional, integer): max replies per parent comment

### Output

Each dataset item keeps the original raw response fields and also includes flattened top-level fields for easier preview, filtering, and export.

#### Common flat fields

- `item_type` (`comment` or `reply`)
- `video_id`
- `comment_id`
- `reply_to_comment_id`
- `text`
- `like_count`
- `reply_count`
- `created_at_utc`
- `username`
- `nickname`
- `user_id`
- `profile_pic_url`
- `share_url`
- `input_url`

#### Output example

```json
{
  "item_type": "comment",
  "video_id": "7306132438047116586",
  "comment_id": "7306162850404975402",
  "reply_to_comment_id": "0",
  "text": "The way her voice has matured still gets me",
  "like_count": 41554,
  "reply_count": 39,
  "created_at_utc": "2023-11-27T12:44:01.000Z",
  "username": "kylerharrison.20",
  "nickname": "Kyler<3",
  "user_id": "6870606316903056390",
  "profile_pic_url": "https://p19-common-sign.tiktokcdn.com/...",
  "share_url": "https://m.tiktok.com/v/7306132438047116586.html?...",
  "input_url": "https://www.tiktok.com/@example/video/7306132438047116586"
}
```

### Actor features

- Fast TikTok comments scraper
- Optional TikTok replies scraper for deeper conversation threads
- Suitable for automation pipelines and no-code workflows

### Use cases

- TikTok sentiment analysis
- Community and audience feedback mining
- Influencer campaign comment monitoring
- Product, feature, and brand mention analysis
- Training datasets for NLP or LLM workflows

### SEO relevance

If you are searching for a TikTok comments scraper, TikTok replies scraper, TikTok comment extractor, or TikTok comments API style workflow, this actor is optimized for exactly that use case with practical, export-ready output.

### Compliance note

Use this actor only for lawful processing of public data and ensure your usage complies with TikTok terms, local regulations, and your internal data governance policies.

# Actor input Schema

## `video_id_or_url` (type: `array`):

Tiktok video ids or URLs to scrape. Prefilled with a sample URL.

## `max_comments` (type: `integer`):

Maximum number of comments to scrape for each video.

## `scrape_replies` (type: `boolean`):

Replies will be scraped if enabled.

## `max_replies` (type: `integer`):

Maximum number of replies to fetch per comment.

## Actor input object example

```json
{
  "video_id_or_url": [
    "https://www.tiktok.com/@bellapoarch/video/6862153058223197445"
  ],
  "max_comments": 100,
  "scrape_replies": false,
  "max_replies": 20
}
```

# 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 = {
    "video_id_or_url": [
        "https://www.tiktok.com/@bellapoarch/video/6862153058223197445"
    ],
    "max_comments": 100,
    "scrape_replies": false,
    "max_replies": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadoping/tiktok-comment-reply-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 = {
    "video_id_or_url": ["https://www.tiktok.com/@bellapoarch/video/6862153058223197445"],
    "max_comments": 100,
    "scrape_replies": False,
    "max_replies": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("datadoping/tiktok-comment-reply-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 '{
  "video_id_or_url": [
    "https://www.tiktok.com/@bellapoarch/video/6862153058223197445"
  ],
  "max_comments": 100,
  "scrape_replies": false,
  "max_replies": 20
}' |
apify call datadoping/tiktok-comment-reply-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadoping/tiktok-comment-reply-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/SXnBwjAPqdMwDYrZ5/builds/4AdlEkIljnLXI2omm/openapi.json