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AI Studio  add-on for Spider.
Media
tmdb.org Verified

Tmdb Scraper

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

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

Extract data in minutes.

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

tmdb-org-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.tmdb.org", {
  return_format: "markdown",
});

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

Fields you can pull.

TitleDescriptionDurationViews
Metadata

Rich data extraction

Extract titles, view counts, and engagement metrics from tmdb.org.

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 tmdb.org.

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