# YouTube Comments Scraper 📺💬 (`easyapi/youtube-comments-scraper`) Actor

Scrape YouTube video comments efficiently with pagination support. Extract comprehensive comment data including text, author, likes, and timestamps for any YouTube video URL.

- **URL**: https://apify.com/easyapi/youtube-comments-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Social media
- **Stats:** 31 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 results

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

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

## 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 📺💬

Extract comments from any YouTube video efficiently and reliably. This actor helps you gather valuable user feedback and engagement data from YouTube videos.

### Features ✨

- 🎯 Scrape comments from any public YouTube video
- 📊 Collect comprehensive comment data including:
  - Comment text
  - Author information
  - Likes count
  - Timestamps
  - Reply counts
- ⚡ Fast and efficient pagination handling
- 🔄 Automatic retry mechanism
- 🎚️ Configurable maximum items limit
- 🤖 Built-in anti-detection mechanisms
- 🎯 Random delays to avoid rate limiting

### Use Cases 🎯

- 📈 Social media engagement analysis
- 🔍 Market research and user feedback collection
- 💡 Content strategy optimization
- 📊 Sentiment analysis
- 🎯 Competitor analysis
- 🔬 Academic research

### Input Parameters 📝

The actor accepts the following input parameters:

- `videoUrls`: Array of YouTube video URLs to scrape comments from
- `maxItems`: Maximum number of comments to collect

### Output 📤

The actor stores results in dataset, with each record containing:

- Comment ID
- Comment text
- Author name
- Timestamp
- Likes count
- Reply count
- And more...

Need custom solutions or modifications? Feel free to reach out!

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "videoUrls": ["https://www.youtube.com/watch?v=hql6k88BKP8"],
    "maxItems": 30
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
	{
		"authorChannelId": "UCz3w4reqgKX2KlFK-yu05Vg",
		"authorDisplayName": "@HomeOfKnockouts",
		"id": "UgxMUiMBi4jbBjCzALB4AaABAg",
		"isPublic": true,
		"likeCount": 1,
		"publishedAt": "2021-05-11T11:47:04",
		"textDisplay": "First",
		"totalReplyCount": 2,
		"videoId": "hql6k88BKP8"
	},
	{
		"authorChannelId": "UC9LsnGN_JfHUo8EaemR1E9w",
		"authorDisplayName": "@baseballlife_1013",
		"id": "UgxFrxqwfvFTa5vdjIZ4AaABAg",
		"isPublic": true,
		"likeCount": 7,
		"publishedAt": "2021-05-11T11:47:31",
		"textDisplay": "Hi I have a question. How to I keep my eyes able to put contacts in without hurting during allergie season",
		"totalReplyCount": 3,
		"videoId": "hql6k88BKP8"
	},
    ...
]
```

# Actor input Schema

## `videoUrls` (type: `array`):

List of YouTube video URLs to scrape comments from

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

Maximum number of comments to collect per video

## Actor input object example

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=hql6k88BKP8"
  ],
  "maxItems": 30
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/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 '{}' |
apify call easyapi/youtube-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/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/ZM0dgCFCNMTQnLeHu/builds/ExWeeNt03TK6NhqXr/openapi.json