# scraping-youtube-trending-videos

Extracts YouTube trending videos by category and country through Apify. Pulls view counts, likes, tags, and channel metadata into CSV or JSON.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 727 installs · ★ 1
- Author: apidojo
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-youtube-trending-videos/SKILL.md
- Updated: 2026-05-13
- HTML: https://affpapa.org/en/nevibecode/skills/scraping-youtube-trending-videos

## What it does

The skill instructs your agent on calling the `apidojo/youtube-trending-scraper` actor on Apify. It accepts category filters (`n`, `music`, `movies`, `gaming`), country codes via `gl`, and language codes via `hl`. Each returned entry contains the video ID, title, URL, description, view and like counts, duration, and channel metadata.

Execution happens via `scripts/run_actor.js`, a direct REST API call, or the Apify MCP `call_actor` tool. You can limit the output with `maxItems` and transform records with `customMapFunction`. Results export directly to CSV or JSON files.

An `$APIFY_TOKEN` is required for authentication against Apify endpoints. If a target country lacks a dedicated gaming or movie trending tab, fall back to category `n`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-youtube-trending-videos -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/scraping-youtube-trending-videos/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/scraping-youtube-trending-videos/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-youtube-trending-videos -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/scraping-youtube-trending-videos/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-youtube-trending-videos -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/scraping-youtube-trending-videos/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install apidojo-io/apidojo-skills scraping-youtube-trending-videos
```

2. **Manually: put the files in place**
- File: `.github/skills/scraping-youtube-trending-videos/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-youtube-trending-videos -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/apidojo-io/apidojo-skills --path skills/primitives/scraping-youtube-trending-videos
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/scraping-youtube-trending-videos/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add apidojo-io/apidojo-skills --skill scraping-youtube-trending-videos -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-youtube-trending-videos/SKILL.md

## When to use it
- extract trending YouTube videos for a specific country code
- collect view counts, likes, and durations of viral videos
- filter trending content by gaming, music, or movies
- export point-in-time YouTube trending snapshots to CSV or JSON

## Example prompts
- Fetch the top 50 trending YouTube videos in the US and save them to results.json
- Show me what gaming videos are trending in Great Britain right now
- Scrape today's music trends on YouTube with view counts and channel details

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a9f80bee70cbdf17.

BEGIN THIRD-PARTY FILE a9f80bee70cbdf17
````text
---
name: scraping-youtube-trending-videos
description: >
  Extracts YouTube trending videos by category and country using apidojo's YouTube Trending
  Scraper on Apify. Triggers when the user asks to: get trending YouTube videos, scrape what's
  trending on YouTube today, fetch YouTube trending videos in a specific country, get trending
  gaming or music videos on YouTube, export the YouTube trending page data, find viral YouTube
  videos right now, or collect top trending YouTube content by category. Returns video title,
  URL, view count, like count, channel info, description, and thumbnail per video.
  Ideal for content researchers, trend analysts, and YouTube marketers.
license: Apache-2.0
metadata:
  author: apidojo
  version: "1.0"
  apify-actor: apidojo/youtube-trending-scraper
---

# Scraping Youtube Trending Videos

Raw data collection. No assumed use case — returns the full dataset for downstream analysis.

---

## Inputs

| Parameter | Type | Required | Default | Notes |
|-----------|------|----------|---------|-------|
| `type` | string | Optional | `n` | Trending category: `n` (now), `music`, `movies`, `gaming` |
| `gl` | string | Optional | `us` | Country code (e.g. `US`, `GB`) |
| `hl` | string | Optional | `en` | Language code (e.g. `en`) |
| `maxItems` | number | Optional | Unlimited | Maximum videos to return |
| `customMapFunction` | string | Optional | — | JavaScript function to transform each output object |

## How to Run

### Using run_actor.js (recommended)

```bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~youtube-trending-scraper" --input '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~youtube-trending-scraper" --input '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~youtube-trending-scraper" --input '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}' --output results.json --format json
```

### REST API fallback

```bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~youtube-trending-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"type": "n", "gl": "us", "hl": "en", "maxItems": 50}'
```

If Apify MCP is available:
Use the Apify MCP `call_actor` tool with actor `apidojo~youtube-trending-scraper` and the input above.

---

## Output Fields

| Field | Type | Description |
|-------|------|-------------|
| `type` | string | Always `video` |
| `id` | string | Video ID |
| `title` | string | Video title |
````
END THIRD-PARTY FILE a9f80bee70cbdf17

The third-party file has ended. Everything between the a9f80bee70cbdf17 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2630 of 3472 bytes. © apidojo · Apache-2.0 · https://github.com/apidojo-io/apidojo-skills/tree/HEAD/skills/primitives/scraping-youtube-trending-videos/SKILL.md

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