{
  "openapi": "3.0.1",
  "info": {
    "title": "Linkedin B2b Email Scraper",
    "description": "LinkedIn B2B Email Scraper extracts business leads from LinkedIn profiles and company pages. Collect names, job titles, companies, profile links, and emails (when available) to build targeted B2B prospect lists for outreach, sales, recruitment, and marketing campaigns.",
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  "components": {
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        "required": [
          "keywords"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords",
            "type": "array",
            "description": "List of keywords to search for on Linkedin (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Linkedin profiles/posts containing these keywords and extract email addresses.",
            "items": {
              "type": "string"
            }
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Linkedin"
            ],
            "type": "string",
            "description": "Select platform.",
            "default": "Linkedin"
          },
          "location": {
            "title": "Location Filter",
            "type": "string",
            "description": "Optional: Add location to search query (e.g., 'London', 'New York'). Leave empty to search globally.",
            "default": ""
          },
          "emailDomains": {
            "title": "Email Domains Filter",
            "type": "array",
            "description": "Optional: Filter results to only include emails from specific domains (e.g., ['@gmail.com', '@outlook.com']). Leave empty to collect all email domains.",
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
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            "minimum": 1,
            "maximum": 5000,
            "type": "integer",
            "description": "Maximum number of emails to collect per keyword (default: 20).",
            "default": 20
          },
          "engine": {
            "title": "Engine",
            "enum": [
              "legacy"
            ],
            "type": "string",
            "description": "Choose scraping engine. 🚀 Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. 🔧 Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.",
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          },
          "proxyConfiguration": {
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        }
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              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
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                  },
                  "computeUnits": {
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                    "example": 0
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                }
              },
              "options": {
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                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultRequestQueueId": {
                "type": "string"
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              "buildNumber": {
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              "containerUrl": {
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              "usage": {
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                  "DATASET_READS": {
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                  "KEY_VALUE_STORE_LISTS": {
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                  "DATA_TRANSFER_INTERNAL_GBYTES": {
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              },
              "usageTotalUsd": {
                "type": "number",
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              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
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                  "DATASET_READS": {
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                  "KEY_VALUE_STORE_WRITES": {
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                    "example": 0.00005
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                  "KEY_VALUE_STORE_LISTS": {
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