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YouTube Scraper - Videos, Likes, Comments Count, Transcripts

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Scrape YouTube videos from searches, channels or URLs with full details: exact likes, views, comment count, publish date, duration, channel and subscribers, description, hashtags, keywords, caption languages, optional transcript. No API key, no login.

Pricing

from $1.28 / 1,000 videos

Rating

0.0

(0)

Developer

Centor Prat

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Videos

Social media

You can access the YouTube Scraper - Videos, Likes, Comments Count, Transcripts 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          },
          "videos": {
            "title": "🎬 Video URLs",
            "type": "array",
            "description": "Direct video URLs or IDs (watch, youtu.be, Shorts).",
            "items": {
              "type": "string"
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          },
          "includeTranscript": {
            "title": "Add transcript",
            "type": "boolean",
            "description": "Also return each video's transcript (charged per transcript).",
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          "transcriptLanguages": {
            "title": "Transcript languages",
            "type": "array",
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          "minViews": {
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          "publishedAfter": {
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          "country": {
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YouTube Scraper - Video Views, Likes, Comments & Tags 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 Scraper - Videos, Likes, Comments Count, Transcripts 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 Scraper - Videos, Likes, Comments Count, Transcripts API in Python

YouTube Scraper - Videos, Likes, Comments Count, Transcripts API in JavaScript

YouTube Scraper - Videos, Likes, Comments Count, Transcripts API through CLI

YouTube Scraper - Videos, Likes, Comments Count, Transcripts API

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