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

Collect TikTok video comments with automatic pagination. Optionally save replies as separate rows with parent IDs under one predictable total result limit.

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

## Pricing

from $0.50 / 1,000 results

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use 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

**Collect the top-level comments on a TikTok video, paginated automatically.**

TikTok Video Comments Scraper pages through a video's comment section, one dataset row per comment, with optional reply collection using the same result limit and price.

### Predictable limits for comments and replies

Provide the video ID and set Max Results as a hard limit across all saved parent and reply rows. Enable Add Comment Replies when you need thread replies, then use Max Replies Per Comment to stop one busy thread from consuming the total. Set either limit to `0` only when you intentionally want that limit unbounded.

#### Scrape a video's comments

Enter a video ID, cap all saved rows with Max Results, and optionally paginate replies with a separate per-comment limit.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `aweme_id` | string | Yes | TikTok video (aweme) ID, or a full video URL (https://www.tiktok.com/@<user>/video/<id>). |
| `maxItems` | integer | No | Maximum total comment rows to save, including replies. Set 0 for no limit. |
| `enrichReplies` | boolean | No | Paginate replies and save each as a separate comment row. Replies count toward Max Results. |
| `maxRepliesPerComment` | integer | No | Maximum replies to save for each top-level comment. Replies also count toward Max Results. Set 0 for no per-comment limit. |

```json
{
  "aweme_id": "7530466721379978522",
  "maxItems": 20,
  "enrichReplies": true,
  "maxRepliesPerComment": 3
}
````

### One row per comment

Top-level comments use `parent_comment_id: null` and `is_reply: false`. Reply rows use the parent comment's ID and `is_reply: true`. The Actor preserves the raw comment fields and overlays stable `comment_id`, `comment_text`, and engagement aliases; it never embeds a reply collection inside its parent row.

Reply pages are followed until Max Replies Per Comment, the overall Max Results value, or TikTok's last page is reached. Parents that report zero replies do not trigger an unnecessary reply request.

#### 💬 Comment identity

| Field | Type | Description |
| --- | --- | --- |
| `comment_id` | mixed | TikTok comment ID. |
| `parent_comment_id` | mixed | Parent comment ID for reply rows; null for top-level comments. |
| `is_reply` | mixed | Whether this row is a reply to another comment. |
| `aweme_id` | string | TikTok video ID. |
| `comment_text` | mixed | Comment text, for comment results. |

#### 📊 Engagement signals

| Field | Type | Description |
| --- | --- | --- |
| `stats` | object | Engagement stats (likes/comments/shares/plays or followers/following/hearts), when available. |

```json
{
  "aweme_id": "7530466721379978522",
  "comment_id": "7662423877628674824",
  "parent_comment_id": null,
  "is_reply": false,
  "comment_text": "example comment"
}
```

### Cost of a comments run

Every saved parent or reply row is billed once as one result. Reply-page requests do not trigger a separate add-on charge.

Apify's free credits may cover a small comment-and-reply test with a low Max Results value.

Max Results is a hard total across parent and reply rows; Max Replies Per Comment prevents one thread from consuming that total.

### Responsible comment-data use

This Actor extracts publicly available TikTok content. It should not be used to collect private user data. Make sure your use case complies with applicable privacy laws, TikTok's terms, and your own legal obligations. If you are unsure, consult a qualified lawyer.

### Run this Actor from code

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("toolzerhub/tiktok-comments-scraper").call(run_input={
    "aweme_id": "7530466721379978522",
    "maxItems": 20,
    "enrichReplies": true,
    "maxRepliesPerComment": 3
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

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

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("toolzerhub/tiktok-comments-scraper").call({
  "aweme_id": "7530466721379978522",
  "maxItems": 20,
  "enrichReplies": true,
  "maxRepliesPerComment": 3
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### More Actors

Look up the video itself, or search for more videos.

- [Bulk TikTok Video Scraper — URLs, Stats & Music](https://apify.com/toolzerhub/tiktok-video-scraper) — Fetch multiple public TikTok videos from IDs, full video URLs, or vt/vm share links. Export one row per video with captions, timestamps, engagement statistics, and music metadata.
- [TikTok Video Search Scraper — Full Details](https://apify.com/toolzerhub/tiktok-video-search-scraper) — Search public TikTok videos by keyword with automatic pagination. Export video IDs, captions, timestamps, statistics, and music data, with optional full-detail enrichment per result.
- [TikTok Profile Videos Scraper — Bulk Posts](https://apify.com/toolzerhub/tiktok-profile-videos-scraper) — Collect videos posted by a TikTok profile using a username or secUid. Paginate automatically and optionally enrich every result with complete video, statistics, and music details.

### ToolzerHub support

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

Contact: contact@toolzerhub.com

# Actor input Schema

## `aweme_id` (type: `string`):

TikTok video (aweme) ID, or a full video URL (https://www.tiktok.com/@<user>/video/<id>).

## `maxItems` (type: `integer`):

Maximum total comment rows to save, including replies. Set 0 for no limit.

## `enrichReplies` (type: `boolean`):

Paginate replies and save each as a separate comment row. Replies count toward Max Results.

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

Maximum replies to save for each top-level comment. Replies also count toward Max Results. Set 0 for no per-comment limit.

## Actor input object example

```json
{
  "aweme_id": "7662422992172911903",
  "maxItems": 20,
  "enrichReplies": false,
  "maxRepliesPerComment": 3
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped data

# 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 = {
    "aweme_id": "7662422992172911903",
    "maxItems": 20,
    "maxRepliesPerComment": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolzerhub/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 = {
    "aweme_id": "7662422992172911903",
    "maxItems": 20,
    "maxRepliesPerComment": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("toolzerhub/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 '{
  "aweme_id": "7662422992172911903",
  "maxItems": 20,
  "maxRepliesPerComment": 3
}' |
apify call toolzerhub/tiktok-comments-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "TikTok Comments Scraper — Replies & Threads",
        "description": "Collect TikTok video comments with automatic pagination. Optionally save replies as separate rows with parent IDs under one predictable total result limit.",
        "version": "0.1",
        "x-build-id": "9uCXSJbnOHCeabXlD"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/toolzerhub~tiktok-comments-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-toolzerhub-tiktok-comments-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/toolzerhub~tiktok-comments-scraper/runs": {
            "post": {
                "operationId": "runs-sync-toolzerhub-tiktok-comments-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/toolzerhub~tiktok-comments-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-toolzerhub-tiktok-comments-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "aweme_id"
                ],
                "properties": {
                    "aweme_id": {
                        "title": "Video ID",
                        "type": "string",
                        "description": "TikTok video (aweme) ID, or a full video URL (https://www.tiktok.com/@<user>/video/<id>)."
                    },
                    "maxItems": {
                        "title": "Max Results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum total comment rows to save, including replies. Set 0 for no limit.",
                        "default": 100
                    },
                    "enrichReplies": {
                        "title": "Add Comment Replies",
                        "type": "boolean",
                        "description": "Paginate replies and save each as a separate comment row. Replies count toward Max Results.",
                        "default": false
                    },
                    "maxRepliesPerComment": {
                        "title": "Max Replies Per Comment",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum replies to save for each top-level comment. Replies also count toward Max Results. Set 0 for no per-comment limit.",
                        "default": 3
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
