YouTube Comments Scraper

Pricing

$2.50/month + usage

YouTube Comments Scraper

Extract comprehensive YouTube comments data including text, authors, timestamps, likes, replies, and engagement metrics. Perfect for sentiment analysis, competitor research, and content strategy optimization.

Pricing

$2.50/month + usage

Rating

0.0

(0)

Developer

Akash Kumar Naik

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

Categories

Social media

Videos

Developer tools

You can access the YouTube Comments Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "title": "Youtube Video URLs",
            "type": "array",
            "description": "Enter Youtube video URLs to extract comments from. Import CSV files or Google Sheets for bulk processing of multiple videos at once.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
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              }
            }
          },
          "maxcomments": {
            "title": "Maximum Comments Per Video",
            "minimum": 1,
            "type": "integer",
            "description": "Limit comments per video (0 = unlimited). Use this to control data volume and processing time for large channels.",
            "default": 10
          },
          "sortby": {
            "title": "Comment Sorting Order",
            "enum": [
              "top",
              "new",
              "old"
            ],
            "type": "string",
            "description": "Choose how to sort comments before extraction for targeted analysis. Top comments show highest engagement, newest captures recent discussions.",
            "default": "top"
          },
          "includereplies": {
            "title": "Include Comment Replies",
            "type": "boolean",
            "description": "Extract nested replies for complete conversation threads. Essential for sentiment analysis and community engagement insights.",
            "default": true
          },
          "proxyConfig": {
            "title": "🌐 Proxy Configuration",
            "type": "object",
            "description": "Set up proxies to prevent IP blocks. Highly advised for large-scale scraping tasks.",
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              "useApifyProxy": true,
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            }
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YouTube Comments Scraper - Extract Comments & Replies OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for YouTube Comments Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

YouTube Comments Scraper API in Python

YouTube Comments Scraper API in JavaScript

YouTube Comments Scraper API through CLI

YouTube Comments Scraper API

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