Pricing

from $900.00 / 1,000 reports

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YouTube Audience Brief - Transcripts To Content Strategy

Try for free

Turn YouTube transcripts into a content strategy: proven hooks, audience questions, packaging gaps, and next-video ideas. Pay per report.

Pricing

from $900.00 / 1,000 reports

Rating

0.0

(0)

Developer

ming zou

Actor stats

Bookmarked

Total users

Monthly active users

14 hours ago

Last modified

What this Actor does

It collects public source data (see Evidence sources), then uses a language model to turn that raw material into one structured report. One run produces one report, and you pay only when a report is delivered.

Input

Field	Type	Required	Description
`queries`	array	yes	Search queries
`maxRecords`	integer	no	Videos to analyze
`subtitle_language`	string	no	Subtitle language
`date_filter`	string	no	Publish window
`outputLanguage`	string	no	Report language
`sampleData`	boolean	no	Sample data (free, no data fetched)

Advanced

Field	Type	Required	Description
`llmApiKey`	string	no	Optional. Leave empty to use the service's built-in analysis model. Supply your own OpenAI-compatible key to bill model usage to your account. Stored encrypted.
`llmApiBase`	string	no	OpenAI-compatible base URL. Empty means the service default.
`llmModel`	string	no	Model identifier. Empty means the service default.

Output

One dataset item per run. Report fields:

Field	Type	Description
`provenHooks`	array	Proven hooks
`audienceQuestions`	array	Audience questions
`repeatedClaims`	array	Repeated claims
`contentGaps`	array	Content gaps
`packagingIdeas`	array	Packaging ideas
`seriesPlan`	array	Series plan

Every report also carries:

Field	Type	Description
`scope`	object	Inputs and filters this report was produced for.
`sourceRecordCount`	integer	Records collected from the source.
`recordsAnalyzed`	integer	Records actually included in the analysis.
`recordsDroppedPastBudget`	integer	Records excluded once the analysis budget was reached.
`chunksAnalyzed`	integer	Number of analysis passes merged into the report.
`sources`	array	Upstream dataset identifiers used as evidence.
`limitations`	array	Known limits of this analysis.
`demoMode`	boolean	`true` when no model key was configured.
`generatedAt`	string	ISO-8601 timestamp.

Evidence source

Upstream Actor: streamers~youtube-scraper (YouTube videos and transcripts). Data is collected at run time from publicly visible pages.

Pricing

Pay per event: $0.90 per delivered report (strategy-report). For comparison, vidIQ and TubeBuddy charge roughly $20-$50/mo for research features alone.

Example input

{
  "queries": [
    "AI coding assistant workflow"
  ],
  "subtitle_language": "en",
  "sampleData": true
}

Demo mode

If no model key is configured, the Actor still runs end to end and returns an extractive evidence report (record counts, frequency-ranked terms, verbatim samples) instead of model synthesis, with demoMode: true. This lets you evaluate a run before connecting a model.

Limitations

Analysis is derived solely from publicly visible data collected at run time; it reflects the sampled window, not the full population.
Results reflect the material collected in this run, not the entire population of available data.
Analysis quality depends on how much public text the source exposes.

Independent third-party analysis service. Not affiliated with, endorsed by, or sponsored by the platforms whose public data is analyzed.

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