Analyzes a competitor's YouTube channel content strategy and performance using apidojo's YouTube scraper on Apify. Triggers when the user asks to: analyze what a competitor posts on YouTube, see what video types perform best for a competitor, reverse-engineer a competitor's YouTube content calendar, benchmark your YouTube channel against a competitor, identify content gaps vs. a competitor on YouTube, understand what topics drive views for a competitor, or compare subscriber growth and video performance between two YouTube channels. Returns video cadence, format mix, top-performing topics, view benchmarks, and engagement analysis. Ideal for content marketing teams, YouTube strategists, and brand video teams.
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Try itFinds YouTube channels with high growth rates in a niche using apidojo's YouTube scraper. Triggers when the user asks to: find fast-growing YouTube channels in a niche, discover YouTube channels with high momentum, identify YouTube creators gaining subscribers quickly, find rising YouTube channels before they get big, discover YouTube channel growth trends in an industry, find channels to partner with early while still growing, or research which YouTube channels are gaining traction in a topic area. Returns channel name, subscriber count, growth signals, view momentum, upload frequency, and growth tier. Ideal for brand partnership managers, talent scouts, and early-stage sponsorship teams.
What it does
Finds YouTube channels with high growth rates in a niche using apidojo's YouTube scraper. Triggers when the user asks to: find fast-growing YouTube channels in a niche, discover YouTube channels with high momentum, identify YouTube creators gaining subscribers quickly, find rising YouTube channels before they get big, discover YouTube channel growth trends in an industry, find channels to partner with early while still growing, or research which YouTube channels are gaining traction in a topic area. Returns channel name, subscriber count, growth signals, view momentum, upload frequency, and growth tier. Ideal for brand partnership managers, talent scouts, and early-stage sponsorship teams.
The skill document
Finding Youtube Channels By Growth Rate
Executes finding youtube channels by growth rate using apidojo scrapers. Part of the apidojo intelligence skills library.
Prerequisites
APIFY_TOKENenvironment 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):
# 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_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~youtube-scraper"
Input:
{
"searchTerms": "[NICHE] channel", "[NICHE] YouTube",
"maxItems": 100
}
REST API fallback:
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~youtube-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"searchTerms": "[NICHE] channel", "[NICHE] YouTube", "maxItems": 100}'
Wait for SUCCEEDED. Fetch dataset:
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"
Step 3: Classify Results
classification: ACCELERATING (growth > 50% MoM) | GROWING (10-50% MoM) | STEADY (0-10%) | DECLINING (negative)
Step 4: Score Each Result
score = growth_signal = (recent_views_avg / older_views_avg) - 1 # momentum ratio; > 0 = accelerating
Step 5: Edge Cases
- Subscriber count is a lagging indicator — use view velocity (views per day on recent videos) as the leading indicator of current growth
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
# Finding Youtube Channels By Growth Rate
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.
Related skills
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