Skill 詳細
scraping-youtube-videos-by-keyword
Apify上のapidojoのYouTubeスクレイパーを使用して、任意のキーワードや検索クエリに一致するYouTube動画をスクレイピングし、動画メタデータとエンゲージメント指標を返します。
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SKILL.md
これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。
---
name: scraping-youtube-videos-by-keyword
description: >
Scrapes YouTube videos matching any keyword or search query using apidojo's YouTube
scraper on Apify. Triggers when the user asks to: get YouTube videos for a keyword,
scrape YouTube search results for a topic, export YouTube video data for a query,
fetch video metadata for a YouTube search term, collect YouTube videos about a subject,
or download YouTube video stats by keyword. Returns video title, channel name, view
count, like count, comment count, duration, and publish date per video.
Ideal for content researchers, SEO analysts, and market intelligence teams.
license: Apache-2.0
metadata:
author: apidojo
version: "1.0"
apify-actor: apidojo/youtube-scraper
---
# Scraping YouTube Videos by Keyword
Raw YouTube video dataset for any search query. Returns video-level metadata including engagement metrics and channel info.
## Prerequisites
- `APIFY_TOKEN` environment variable set
- Optional: Apify MCP server installed
## Inputs
| Parameter | Type | Required | Default | Notes |
|-----------|------|----------|---------|-------|
| `startUrls` | array | Optional | `[]` | YouTube URLs — channels, playlists, Shorts, search results |
| `youtubeHandles` | array | Optional | `[]` | YouTube channel handles (e.g. `@kurzgesagt`) |
| `getTrending` | boolean | Optional | `false` | Retrieve trending videos |
| `keywords` | array | Optional | `[]` | Search keywords |
| `gl` | string | Optional | `us` | Country code for results (e.g. `US`, `GB`) |
| `hl` | string | Optional | `en` | Language code (e.g. `en`, `de`) |
| `uploadDate` | string | Optional | `all` | Upload date filter: `any`, `hour`, `today`, `week`, `month`, `year` |
| `duration` | string | Optional | `all` | Duration filter: `any`, `short`, `long` |
| `features` | string | Optional | `all` | Feature filter: `4k`, `hd`, `live`, `cc`, `3d`, `hdr`, etc. |
| `sort` | string | Optional | `r` | Sort order for search results |
| `maxItems` | number | Optional | Unlimited | Maximum videos to return |
| `customMapFunction` | string | Optional | — | JavaScript function to transform each output object |
## Workflow
```
Progress:
- [ ] Step 1: Build search query
- [ ] Step 2: Run youtube-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver video dataset
```
### Step 2: Run the Actor
**Recommended — run_actor.js (handles waiting, output, and file saving automatically):**
```bash
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~youtube-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format json
```
> `APIFY_TOKEN` must be set in environment or `.env` file.
**If Apify MCP is available:**
```
Tool: apify:run-actor
Actor: "apidojo~youtube-scraper"
Input:
{
"searchKeywords": "<query>",
"maxResults": 50,
"sortBy": "relevance"
}
```
**REST API fallback:**
```bash
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~youtube-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"searchKeywords": "<query>", "maxResults": 50}'
```
Save `id` as `RUN_ID`. Poll until `status = SUCCEEDED`:
```bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_TOKEN" | grep '"status"'
```
Fetch results:
```bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN&format=json"
```
### Step 3: Handle Edge Cases
- **< 20 results**: Query may be too narrow; broaden search term.
- **Age-restricted content in results**: These may have limited metadata — flag rows with missing `viewCount`.
- **Duplicate video IDs**: Deduplicate by `videoId`.
## Output Format
```
# YouTube Video Dataset: "<query>"
Videos colleGitHub で全文を読む (外部ページ)