npx skills add ...
npx skills add apidojo-io/apidojo-skills --skill analyzing-youtube-competitor-channel-strategy
Analyzes competitor YouTube channel strategy and content performance using apidojo's YouTube scraper. Triggers when the user asks to: analyze a competitor's YouTube channel strategy, understand what makes a competitor YouTube channel successful, benchmark a YouTube channel against a competitor, find patterns in a competitor's YouTube content that drive growth, analyze the content mix and publishing cadence of a competitor channel, understand a competitor's YouTube audience and engagement, or reverse-engineer what a competitor is doing well on YouTube. Returns content mix, format performance, publishing cadence, engagement benchmarks, and strategic insights. Ideal for YouTube content strategists, brand video teams, and competitive intelligence analysts.
npx skills add apidojo-io/apidojo-skills --skill analyzing-youtube-competitor-channel-strategy
Executes analyzing youtube competitor channel strategy using apidojo scrapers. Part of the apidojo intelligence skills library.
APIFY_TOKEN environment variable set| 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 |
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
APIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
REST API fallback:
Wait for SUCCEEDED. Fetch dataset:
Additional fallbacks:
Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.
Tool: apify:run-actor
Actor: "apidojo~youtube-scraper"
Input:
{
"searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]",
"maxItems": 100
}curl -X POST \
"https://api.apify.com/v2/acts/apidojo~youtube-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]", "maxItems": 100}'curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"classification: GROWING (view rate > 20%) | HEALTHY (10-20%) | PLATEAU (5-10%) | DECLINING (< 5%)score = channel_health = avg_views/subscriber_count * 100 # view rate; healthy > 10%# Analyzing Youtube Competitor Channel Strategy
Results: [N] | Date: [DATE]
| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |
## Summary
Top result: [description]
Key finding: [insight]