{
  "openapi": "3.0.1",
  "info": {
    "title": "IndiaMART Email Scraper",
    "description": "IndiaMART Email Scraper extracts publicly listed email addresses from IndiaMART using targeted keywords, locations, and email domains. Build structured B2B leads with emails, titles, descriptions, and URLs for lead generation, market research, and business contact discovery.",
    "version": "1.0",
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        "operationId": "run-sync-email_scraper-indiamart-email-scraper",
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          "keywords"
        ],
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          "keywords": {
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            "type": "array",
            "description": "A list of keywords or queries to search for.",
            "default": [
              "Laptop",
              "Furniture"
            ],
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Region / Location (Enter any country or city manually)",
            "type": "string",
            "description": "Optional country, state or city used to narrow the search. Leave it empty to search without a geographic filter.",
            "default": ""
          },
          "customDomains": {
            "title": "E-mail domain suffixes (e.g. @gmail.com, @yahoo.com,@outlook.com)",
            "type": "array",
            "description": "List of custom email domains",
            "default": [
              "@gmail.com"
            ],
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "Enter Max Emails - per keyword + domain combination",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "How many addresses each search keyword + domain suffix combination may collect before the finder moves on to the next one. This is a per-combination target, not a run-wide total: with 3 keyword and 2 Domains and a limit of 20, the run works through all 6 combinations and aims for up to 20 addresses in each, so up to 120 overall. Lower values finish sooner and cost less; higher values dig deeper but never guarantee a fuller result, since the run can only find what is publicly listed.",
            "default": 10
          },
          "excludeWords": {
            "title": "Exclude words",
            "type": "array",
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              "type": "string"
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                "type": "string"
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              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
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              },
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                "properties": {
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                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
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                  },
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                    "example": 0
                  },
                  "computeUnits": {
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                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
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                  },
                  "timeoutSecs": {
                    "type": "integer",
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                  "memoryMbytes": {
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
                "type": "string"
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              "defaultRequestQueueId": {
                "type": "string"
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              "containerUrl": {
                "type": "string"
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                  "DATASET_READS": {
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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              "usageTotalUsd": {
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                  "KEY_VALUE_STORE_LISTS": {
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