analyzing-youtube-competitor-channel-strategy

Original：🇺🇸 English

Translated

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.

2installs

Sourceapidojo-io/apidojo-skills

Added on2026-09-03

NPX Install

npx skill4agent add apidojo-io/apidojo-skills analyzing-youtube-competitor-channel-strategy

SKILL.md Content

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Analyzing Youtube Competitor Channel Strategy

Executes analyzing youtube competitor channel strategy using apidojo scrapers. Part of the apidojo intelligence skills library.

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: Define parameters
- [ ] Step 2: Run youtube-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output

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:
{
  "searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]",
  "maxItems": 100
}

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 '{"searchTerms": "https://www.youtube.com/@[COMPETITOR_CHANNEL]", "maxItems": 100}'

Wait for

SUCCEEDED

. Fetch dataset:

bash

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

Step 3: Classify Results

classification: GROWING (view rate > 20%) | HEALTHY (10-20%) | PLATEAU (5-10%) | DECLINING (< 5%)

Step 4: Score Each Result

score = channel_health = avg_views/subscriber_count * 100  # view rate; healthy > 10%

Step 5: Edge Cases

Channels with old viral videos have inflated subscriber counts relative to current performance — use median views from last 20 videos as the current health indicator

Additional fallbacks:

< 20 results: Broaden search terms; remove secondary filters
No results: Verify the search terms are correct; try alternate phrasings
Data quality issues: Remove entries with missing key fields; note count in output

Output Format

# 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]

Troubleshooting

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.

analyzing-youtube-competitor-channel-strategy

NPX Install

Tags

SKILL.md Content

Analyzing Youtube Competitor Channel Strategy

Prerequisites

Inputs

Workflow

Step 2: Run the Actor

Step 3: Classify Results

Step 4: Score Each Result

Step 5: Edge Cases

Output Format

Troubleshooting