Pricing

$29.00/month + usage

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Youtube Channel Scraper

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Runtime

YouTube Channel Scraper is an Apify Actor that scrapes video data and comments from a YouTube channel. It extracts key details such as video title, URL, view count, streaming time (in days), hashtags, description, comments count, and individual comments with user IDs.

4.7 (4)

Pricing

$29.00/month + usage

Total users

Monthly users

Runs succeeded

>99%

Issue response

16 hours

Last modified

an hour ago

Social media

Videos

Automation

You can access the Youtube Channel 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

$echo '{}' |
<apify call runtime/youtube-channel-scraper --silent --output-dataset

Youtube Channel Scraper API through CLI

The Apify CLI is the official tool that allows you to use Youtube Channel Scraper locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Youtube Channel Scraper API in Python

Youtube Channel Scraper API in JavaScript

Youtube Channel Scraper OpenAPI definition

Youtube Channel Scraper API

YouTube Full Channel Comments Extractor ⚡📜💬

scrapestorm/youtube-full-channel-comments-extractor

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Storm_Scraper

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scrapestorm/youtube-full-channel-videos-scraper

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Storm_Scraper

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powerful_bachelor/Youtube-Channel-Scraper

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grow_media/youtube-channel-scraper

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This alternative YouTube Data API has no limits or quotas. Extract YouTube comments data from one or multiple YouTube videos: full comment text, posting date, author username, video title, videoId. Download YouTube comments in JSON, CSV, and Excel.

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runtime/youtube-shorts-scraper

YouTube Shorts Scraper is an Apify Actor that scrapes video data and comments from the Shorts section of a YouTube channel. It extracts key details such as video title, URL, view count, streaming time (in days), hashtags, description, comments count, and individual comments with user IDs.