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Gumroad Email Scraper

📧 Gumroad Email Scraper extracts emails from Gumroad listings fast and accurately. Perfect for lead gen, B2B outreach, market research & customer discovery. 🚀 Save time, target the right audiences, and boost conversions.

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Scraperoka

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Automation

Developer tools

You can access the Gumroad Email Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "required": [
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        "properties": {
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            "type": "array",
            "description": "A list of keywords to search for.",
            "default": [
              "founder",
              "marketing"
            ],
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Location to filter search results.",
            "default": ""
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Instagram"
            ],
            "type": "string",
            "description": "Select platform.",
            "default": "Instagram"
          },
          "customDomains": {
            "title": "Custom Email Domains",
            "type": "array",
            "description": "List of custom email domains",
            "default": [
              "@gmail.com"
            ],
            "items": {
              "type": "string"
            }
          },
          "maxEmails": {
            "title": "Max Emails",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.",
            "default": 20
          },
          "engine": {
            "title": "Engine",
            "enum": [
              "cost-effective",
              "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.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Configure proxies for this Actor."
          }
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              },
              "actId": {
                "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
                  },
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                    "type": "integer",
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                  },
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                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
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                "type": "object",
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                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
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                "type": "string",
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}

Gumroad Email Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Gumroad Email Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Gumroad Email Scraper API in Python

Gumroad Email Scraper API in JavaScript

Gumroad Email Scraper API through CLI

Gumroad Email Scraper API

Gumroad Email Scraper

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