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AI Studio  add-on for Spider.
Media
live-video.net Verified

Live-video Scraper

Extract media content, metadata, and streaming data from Live-video.

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

Extract data in minutes.

Structured JSON from live-video.net with a single POST. Call it with no selectors and the model names the fields, or pass your own CSS to skip the AI.

live-video-net-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
  stealth: 2,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://live-video.net");

// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();

console.log(data);
await spider.close();
ready to run · spider-browser · no selectors
Extraction

Fields you can pull.

TitleDescriptionDurationViews
Metadata

Rich data extraction

Extract titles, view counts, and engagement metrics from live-video.net.

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 live-video.net.

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