# Youtube Comments Scraper (`getdataforme/youtube-comments-scraper`) Actor

Scrape YouTube comments via Apify Proxy: input video URLs to extract comment IDs, content, publish time, emojis, author info (channel ID, name, avatar, verification), and engagement metrics (likes, replies).  Ideal for sentiment analysis, community monitoring, and marketing insights.

- **URL**: https://apify.com/getdataforme/youtube-comments-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Automation, AI
- **Stats:** 9 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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.

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

## 🎥 Youtube Comments Scraper

Fetch YouTube video comments, author details, emojis, and engagement metrics via Apify Proxy. Perfect for social media analysts, sentiment tracking, community managers, and data-driven content creators.

***

### 🌐 Website

**Target:** Youtube\
**Function:** Scrapes top-level comments (and replies) from YouTube video pages.

***

### 📥 Input Example

```json
{
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "urls": [
    "youyube-.com/watch?v=6StfpqCnOOw&ab_channel=zalan"
  ]
}
```

- `proxyConfiguration.useApifyProxy`: Enables Apify Proxy for reliable crawling.
- `urls`: Array of YouTube video URLs to scrape comments from.

***

### 📤 Output Example

```json
{
  "commentId": "UgyWbeNRLpPY8BoPBgV4AaABAg",
  "content": "So many character so much fun .\n\nZalan  keep going on dont be sad happy new year 2081😍❤❤❤🎉🙏🎧",
  "publishedTime": "1 year ago",
  "replyLevel": 0,
  "authorButtonA11y": "@bibekpun7786",
  "emojis": [
    { "label": "😍", "url": "https://www-youtube-com/s/gaming/emoji/…emoji_u1f60d.png" },
    { "label": "❤", "url": "https://www-youtube-com/s/gaming/emoji/…emoji_u2764.png" },
    …
  ],
  "author": {
    "channelId": "UCTSjGqTWyGtsgZLjiQVZr_Q",
    "displayName": "@bibekpun7786",
    "avatarThumbnailUrl": "https://yt3.ggpht.com/…=s88-c-k-c0x00ffffff-no-rj",
    "isVerified": false,
    "isCreator": false
  },
  "toolbar": {
    "likeCountLiked": "13",
    "likeCountNotliked": "12",
    "replyCount": "1",
    "likeCountA11y": "12 likes",
    "replyCountA11y": "1 reply"
  }
}
```

> Returns structured JSON for each comment, including content, emojis, author info, and engagement stats.

***

### ✅ Use Cases

- Sentiment analysis on video feedback
- Community engagement monitoring
- Content moderation and compliance
- Trend analysis for creators and marketers

***

### 🚀 How It Works

1. Provide YouTube video URL(s) and enable Apify Proxy.
2. The actor navigates to each video page and extracts:

   - Comment ID, text, publish time, reply level
   - Author handle, avatar, verification/creator flags
   - All emojis used in the comment
   - Like counts, reply counts with accessibility labels
3. Outputs an array of JSON objects per comment for downstream processing.

***

### 🔧 Advanced Options

- **Webhooks**: Trigger notifications or post-processing after each run.
- **Dataset Export**: Save results to CSV, JSON, or Excel for analysis.
- **Scheduling**: Run hourly, daily, or weekly to track evolving discussions.

***

### 🛟 Support

For help, feature requests, or bug reports:

📧 **Email:** <support@getdataforme.com>
🌐 **Contact:** <https://getdataforme.com/contact/>

> Please include your Apify run ID or input URL in the subject line.

***

### 📝 Author

Built and maintained by **GetDataForMe** — unlocking web data for smarter insights.

# Actor input Schema

## `urls` (type: `array`):

A list of URLs of the web pages you want to scrape data from.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

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

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "urls": [
    "https://www.youtube.com/watch?v=6StfpqCnOOw&ab_channel=zalan"
  ],
  "itemLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "urls": [
        "https://www.youtube.com/watch?v=6StfpqCnOOw&ab_channel=zalan"
    ],
    "itemLimit": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/youtube-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 = {
    "urls": ["https://www.youtube.com/watch?v=6StfpqCnOOw&ab_channel=zalan"],
    "itemLimit": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/youtube-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 '{
  "urls": [
    "https://www.youtube.com/watch?v=6StfpqCnOOw&ab_channel=zalan"
  ],
  "itemLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/youtube-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/youtube-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/AojEAuFFVQmbE4cmN/builds/fxaPf9C86sbe4B0pK/openapi.json