{
  "openapi": "3.0.1",
  "info": {
    "title": "Youtube Channel Email Scraper",
    "description": "YouTube Channel Email Scraper extracts publicly available contact emails from YouTube channel pages and descriptions. It collects channel names, email addresses, channel URLs, and profile details. Ideal for outreach, lead generation, influencer marketing, and partnership research.",
    "version": "0.1",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "keywords"
        ],
        "properties": {
          "keywords": {
            "title": "🔑 Search Keywords",
            "type": "array",
            "description": "📝 Keywords to find relevant YouTube content (channels, videos, descriptions). The actor searches Google for YouTube profiles containing these terms and extracts any email addresses found.\n\n💡 **Examples:** marketing, founder, business coach, SaaS, startup, entrepreneur, fitness, cooking, tech reviewer\n\n⚡ **Tip:** Use niche-specific keywords for higher-quality leads.",
            "items": {
              "type": "string"
            }
          },
          "platform": {
            "title": "🌐 Target Platform",
            "enum": [
              "Youtube"
            ],
            "type": "string",
            "description": "📺 Select which platform to scrape. Currently supports YouTube — more platforms coming soon!",
            "default": "Youtube"
          },
          "location": {
            "title": "📍 Location Filter",
            "type": "string",
            "description": "🌍 **Optional** — Narrow results by geographic location. Adds location context to the search query for more targeted leads.\n\n💡 **Examples:** London, New York, Berlin, Tokyo, India, USA\n\n⚡ Leave empty to search globally.",
            "default": ""
          },
          "emailDomains": {
            "title": "📧 Email Domain Filter",
            "type": "array",
            "description": "✉️ **Optional** — Filter results to only include emails from specific domains. Great for targeting business emails vs personal.\n\n💡 **Examples:** @gmail.com, @outlook.com, @company.com, @yahoo.com\n\n⚡ Leave empty to collect ALL email domains (recommended for maximum results).",
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "📊 Max Emails per Keyword",
            "minimum": 1,
            "maximum": 5000,
            "type": "integer",
            "description": "🎯 Maximum number of emails to collect for each keyword. Lower = faster runs (good for testing). Higher = more leads (longer runtime).\n\n⚡ **Default: 5** — Optimized for quick runs & Apify QA. Increase to 50–500 for full campaigns.",
            "default": 5
          },
          "engine": {
            "title": "⚙️ Scraping Engine",
            "enum": [
              "legacy"
            ],
            "type": "string",
            "description": "🔧 **Legacy** — Uses Apify's GOOGLE_SERP proxy with battle-tested selectors. Best reliability for Google search scraping. Includes 3 automatic retries per request.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "🔒 Proxy (Auto-configured)",
            "type": "object",
            "description": "🛡️ **GOOGLE_SERP Proxy** — Automatically uses Apify's specialized Google Search proxy with 3 retries per request. No configuration needed — optimized for bypassing blocks & captchas.\n\n⚡ This field is ignored; GOOGLE_SERP is required for reliable Google scraping."
          }
        }
      },
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          "data": {
            "type": "object",
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              },
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
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                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
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                  "computeUnits": {
                    "type": "integer",
                    "example": 0
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              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
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                  "diskMbytes": {
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              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
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              "defaultRequestQueueId": {
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              "buildNumber": {
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