# Youtube Comments (`shareze001/youtube-comments`) Actor

This tool extracts comments from YouTube videos, providing details such as the author, content, likes, replies, and more. It supports sorting options like top comments or newest first. The results are returned in a structured JSON format for easy integration and analysis.

- **URL**: https://apify.com/shareze001/youtube-comments.md
- **Developed by:** [shareze](https://apify.com/shareze001) (community)
- **Categories:** Videos, Social media, Integrations
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

## YouTube Comments Scraper

This tool is designed to scrape comments from a specific YouTube video. It retrieves detailed information about the comments, including the author, content, likes, replies, and more.

### How to Use

#### 1. Input Configuration

The tool requires an input JSON object to define the scraping parameters. The structure of the input is as follows:

```json
{
  "videoId": "7bjYAnSLBZo",
  "size": 10,
  "sort_by": "top"
}
```

- **`videoId`**: (Required) The YouTube video ID, e.g., `https://www.youtube.com/watch?v=7bjYAnSLBZo` -> `7bjYAnSLBZo`.
- **`size`**: (Required) The number of comments to retrieve. Default is 10. Minimum is 1.
- **`sort_by`**: (Optional) Sort comments by:
  - `top`: Top comments (default).
  - `newest`: Newest comments first.

#### 2. Output Data

The tool returns an array of objects containing information about the comments. The structure of each object is as follows:

```json
{
  "authorChannelId": "UC123456789",
  "authorName": "Example Author",
  "authorAvatarThumbnailUrl": "https://example.com/avatar.jpg",
  "authorIsVerified": true,
  "commentId": "abc123",
  "content": "This is an example comment.",
  "publishedTime": "2025-10-01",
  "likeCount": 100,
  "replyCount": 5
}
```

- **`authorChannelId`**: The unique ID of the comment author’s channel.
- **`authorName`**: The name of the comment author.
- **`authorAvatarThumbnailUrl`**: The URL of the author’s avatar thumbnail.
- **`authorIsVerified`**: Whether the author is verified.
- **`commentId`**: The unique ID of the comment.
- **`content`**: The content of the comment.
- **`publishedTime`**: The time the comment was published.
- **`likeCount`**: The number of likes the comment received.
- **`replyCount`**: The number of replies to the comment.

#### 3. Running the Tool

1. Deploy the tool on the Apify platform.
2. Provide the input JSON in the tool's input configuration.
3. Run the tool to scrape comments from the specified YouTube video.
4. Retrieve the output dataset containing the comment details.

#### Notes

- This tool uses YouTube's public interface and may be subject to rate limits or restrictions.
- Ensure that the input `videoId` is valid and corresponds to an existing YouTube video.
- The tool is optimized for performance but may require adjustments based on YouTube's response behavior.

# Actor input Schema

## `videoId` (type: `string`):

YouTube video ID, e.g., https://www.youtube.com/watch?v=7bjYAnSLBZo -> 7bjYAnSLBZo

## `size` (type: `integer`):

comment size

## `sort_by` (type: `string`):

Sort comments by, either by top comments or newest first

## Actor input object example

```json
{
  "videoId": "7bjYAnSLBZo",
  "size": 10,
  "sort_by": "top"
}
```

# 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 = {
    "videoId": "7bjYAnSLBZo",
    "size": 10,
    "sort_by": "top"
};

// Run the Actor and wait for it to finish
const run = await client.actor("shareze001/youtube-comments").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 = {
    "videoId": "7bjYAnSLBZo",
    "size": 10,
    "sort_by": "top",
}

# Run the Actor and wait for it to finish
run = client.actor("shareze001/youtube-comments").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 '{
  "videoId": "7bjYAnSLBZo",
  "size": 10,
  "sort_by": "top"
}' |
apify call shareze001/youtube-comments --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,shareze001/youtube-comments"
        }
    }
}

```

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/ldFer1rCMPqVLrjyR/builds/oWjGYyaTWFvByfM0X/openapi.json