# Find Sponsor-Ready YouTube Tech Creators

**Use case:** 

Discover technology creators with public outreach emails, recent reach metrics, sponsor signals, and evidence videos.

## Input

```json
{
  "scrapeType": "keywordDiscovery",
  "channels": [
    "@mkbhd",
    "https://www.youtube.com/@veritasium"
  ],
  "searchQueries": [
    "technology reviews"
  ],
  "seedChannels": [
    "@mkbhd"
  ],
  "maxResults": 10,
  "region": "US",
  "regionFilter": "localized",
  "contactFilter": "emailOnly",
  "enrichmentDepth": "balanced",
  "minSubscribers": 10000,
  "maxSubscribers": 0,
  "minAverageViews": 0,
  "activeWithinDays": 0,
  "minSponsorReadinessScore": 30
}
```

## Output

```json
{
  "channelName": {
    "label": "Channel",
    "format": "text"
  },
  "channelUrl": {
    "label": "🌐 Channel URL",
    "format": "link"
  },
  "subscriberCount": {
    "label": "👥 Subscribers",
    "format": "number"
  },
  "avgRecentViews": {
    "label": "👁️ Avg. recent views",
    "format": "number"
  },
  "viewRatePercent": {
    "label": "📊 View rate (%)",
    "format": "number"
  },
  "uploadFrequencyPerMonth": {
    "label": "📅 Uploads / month",
    "format": "number"
  },
  "recentVideosScanned": {
    "label": "Videos found",
    "format": "number"
  },
  "recentVideosDetailed": {
    "label": "Videos fully detailed",
    "format": "number"
  },
  "videoEnrichmentStatus": {
    "label": "Video enrichment",
    "format": "text"
  },
  "videoSourceFallbacks": {
    "label": "Videos via fallback route",
    "format": "number"
  },
  "sponsoredVideosFound": {
    "label": "💰 Sponsored videos",
    "format": "number"
  },
  "sponsoredVideoRatePercent": {
    "label": "🤝 Sponsored video rate (%)",
    "format": "number"
  },
  "sponsorBrands": {
    "label": "🏢 Recent sponsor brands",
    "format": "array"
  },
  "sponsorshipSignals": {
    "label": "Sponsor signals",
    "format": "array"
  },
  "sponsorEvidenceUrls": {
    "label": "🔎 Evidence videos",
    "format": "array"
  },
  "sponsorEvidence": {
    "label": "Sponsor evidence",
    "format": "array"
  },
  "latestSponsoredAt": {
    "label": "📅 Latest sponsorship",
    "format": "date"
  },
  "sponsorReadinessScore": {
    "label": "⭐ Sponsor score",
    "format": "number"
  },
  "contactPriorityScore": {
    "label": "🎯 Priority score",
    "format": "number"
  },
  "recentVideoTitles": {
    "label": "Analyzed videos",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Channel Email & Sponsor Lead Scraper](https://apify.com/trakk/youtube-channel-email-sponsor-leads.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/trakk/youtube-channel-email-sponsor-leads.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/trakk/youtube-channel-email-sponsor-leads.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
