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AI Studio  add-on for Spider.
Media
viralize.tv Verified

Viralize Scraper

Extract media content, metadata, and streaming data from Viralize. Built on spider-browser .

Get started Docs
target
viralize.tv
success rate
99.9%
latency
~4ms
POST /fetch/viralize.tv/
return_format
curl -X POST https://api.spider.cloud/fetch/viralize.tv/ \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
200 OK · cache hit · response shape
{
  "url": "https://viralize.tv/",
  "status": 200,
  "data": {
    "title": "string",
    "description": "string",
    "duration": "string",
    "views": "string",
    "category": "string",
    "published_date": "string"
  }
}
Quick start

Extract data in minutes.

Structured JSON from viralize.tv with a single POST. AI-resolved selectors, cached on the first call.

viralize-tv-scraper.ts
import { Spider } from "@spider-cloud/spider-client";

const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });

const result = await spider.scrapeUrl("https://www.viralize.tv", {
  return_format: "markdown",
});

console.log(result);
ready to run · spider-browser · TypeScript
Extraction

Fields you can pull.

TitleDescriptionDurationViewsCategoryPublished Date
Metadata

Rich data extraction

Extract titles, view counts, and engagement metrics from viralize.tv.

Rendering

Dynamic content

Handle lazy-loaded comments, recommendations, and infinite scroll.

Scale

Channel-level scraping

Process entire channels and playlists with automatic pagination.

Related

More Media scrapers.

Start

Start scraping viralize.tv.

Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.