# TikTok Top-Level Comments Scraper Lite (`itayekk1/tiktok-comments-scraper-lite`) Actor

Extract bounded public top-level comments from known TikTok video URLs.

- **URL**: https://apify.com/itayekk1/tiktok-comments-scraper-lite.md
- **Developed by:** [Itay Elgazar](https://apify.com/itayekk1) (community)
- **Categories:** Social media, Videos
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Top-Level Comments Scraper Lite

Extract public top-level comments from known TikTok video URLs.

Use it when you already have TikTok video links and want a small structured sample of public comments.

### What you get

Each comment row can include:

- TikTok video URL
- video ID
- comment ID
- comment text
- public author fields
- like count
- reply count
- creation time
- pagination fields
- structured error details when comments are unavailable

### Quick start

```json
{
  "postURLs": [
    "https://www.tiktok.com/@apifyoffice/video/7200360993149553925"
  ],
  "maxCommentsPerPost": 10,
  "includeReplies": false
}
```

### Input fields

- `postURLs` — direct TikTok video URLs.
- `maxCommentsPerPost` — maximum top-level comments per video.
- `cursor` — optional cursor from a previous run.
- `includeReplies` — currently kept off for this lite Actor.
- `maxRepliesPerComment` — currently not used when replies are off.

### Output

The Actor saves one dataset row per top-level comment, plus error rows for videos that cannot be processed or have no available public comments.

### Limits

This Actor collects top-level public comments from direct video URLs only. It does not collect replies in this version, scrape profiles, search TikTok, scrape hashtag feeds, log in, use user cookies, bypass CAPTCHA, or access private data.

# Actor input Schema

## `postURLs` (type: `array`):

One or more public TikTok video URLs whose top-level public comments should be scraped.

## `maxCommentsPerPost` (type: `integer`):

Maximum top-level public comments to return per video. Hard-capped at 50.

## `cursor` (type: `string`):

Optional TikTok comments cursor to start from. Leave as 0 for the first page. Cursor values are returned in output rows as cursorAfter.

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

Replies are not supported in this lite Actor. Leave off.

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

Replies are not supported in this lite Actor.

## Actor input object example

```json
{
  "postURLs": [
    "https://www.tiktok.com/@apifyoffice/video/7200360993149553925"
  ],
  "maxCommentsPerPost": 10,
  "cursor": "0",
  "includeReplies": false,
  "maxRepliesPerComment": 0
}
```

# Actor output Schema

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

No description

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

No description

# 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 = {
    "postURLs": [
        "https://www.tiktok.com/@apifyoffice/video/7200360993149553925"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("itayekk1/tiktok-comments-scraper-lite").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 = { "postURLs": ["https://www.tiktok.com/@apifyoffice/video/7200360993149553925"] }

# Run the Actor and wait for it to finish
run = client.actor("itayekk1/tiktok-comments-scraper-lite").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 '{
  "postURLs": [
    "https://www.tiktok.com/@apifyoffice/video/7200360993149553925"
  ]
}' |
apify call itayekk1/tiktok-comments-scraper-lite --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=itayekk1/tiktok-comments-scraper-lite",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/D85K9bNJQ5fSKDtVs/builds/8UnTquBh6FIyU9QjZ/openapi.json