Patreon Email Scraper

Pricing

$19.99/month + usage

Patreon Email Scraper

Patreon Email Scraper extracts publicly available email addresses from Patreon creator profiles and linked pages. Build targeted creator contact lists by niche or category. Ideal for brands and agencies running outreach campaigns.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scraper Engine

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Lead generation

Automation

Other

You can access the Patreon 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

{
  "openapi": "3.0.1",
  "info": {
    "version": "0.1",
    "x-build-id": "jaKknSzqfqgz904Io"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scraper-engine~patreon-email-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scraper-engine-patreon-email-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scraper-engine~patreon-email-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scraper-engine-patreon-email-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scraper-engine~patreon-email-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scraper-engine-patreon-email-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "keywords"
        ],
        "properties": {
          "keywords": {
            "title": "Keywords",
            "type": "array",
            "description": "List of keywords to search for on Patreon (e.g., ['marketing', 'founder', 'business']). The actor will search Google for Patreon profiles/posts containing these keywords and extract email addresses.",
            "items": {
              "type": "string"
            }
          },
          "platform": {
            "title": "Platform",
            "enum": [
              "Patreon"
            ],
            "type": "string",
            "description": "Select platform.",
            "default": "Patreon"
          },
          "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": {
            "title": "Maximum Emails per Keyword",
            "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.",
            "default": "legacy"
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Choose which proxies to use. By default, no proxy is used. If Google rejects or blocks the request, the actor will automatically fallback to datacenter proxy, then residential proxy with 3 retries."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "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
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "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"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Patreon 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 Patreon 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:

Patreon Email Scraper API in Python

Patreon Email Scraper API in JavaScript

Patreon Email Scraper API through CLI

Patreon Email Scraper API

Patreon Email Scraper

scraper-mind/patreon-email-scraper

Patreon Email Scraper – Quickly extract verified Patreon emails by keywords, location & domain! 🔍 Supports Patreon listings & proxy usage. 📊 Download results in JSON, CSV, Excel. Ideal for lead generation, creator outreach & market research.

Scraper Mind

Patreon Email Scraper – Advanced, Cheapest & Reliable 📧🎟️

contactminerlabs/patreon-email-scraper---advanced-cheapest-reliable

🔍 Scrape Patreon Emails Enter your search parameters to collect verified contact emails from Patreon profiles, along with profile title, bio, source URL & platform info 📊 Perfect for lead generation, influencer outreach & data enrichment in tools like Google Sheets or CRMs🧩

ContactMinerLabs

5.0

(1)

Patreon Email Scraper - Advanced, Fast & Cheapest

contacts-api/patreon-email-scraper-fast-advanced-and-cheapest

🎗️ Patreon Email Scraper helps you collect creator and supporter emails from Patreon pages ⚡ Ideal for creator marketing and partnerships 📧

Lead Heaven

All-in-One Social Media Email Scraper

easyapi/all-in-one-social-media-email-scraper

🌐📧 Discover emails across 30+ social platforms! Extract contact info from Facebook, Twitter, LinkedIn, and more. Perfect for lead gen, influencer outreach, and market research. Fast, efficient, and proxy-enabled. Boost your networking and marketing efforts today! 🚀🔍

EasyApi

675

2.1

(5)

All-in-One Social Media Email Scraper 📧

scraper-mind/all-social-media-email-scraper

[𝗖𝗵𝗲𝗮𝗽𝗲𝘀𝘁 𝗣𝗿𝗶𝗰𝗲] Boost your lead generation with the All in One Social Media Email Scraper! Extract emails from 40+ platforms, including Facebook, Instagram, LinkedIn & more. Affordable at just $10/month! Get accurate, structured data for outreach, influencer marketing & research. 🚀📧

Scraper Mind

200

Social Media Email Scraper 📧🌐 - (All-in-one) Cheap

scrapestorm/social-media-email-scraper---all-in-one-cheap

This Social Media Email Scraper extracts email addresses from your selected social media platform based on chosen keywords & email domains. You can also set the maximum number of items for results 🔥Perfect for creator outreach 🤳 marketing campaigns 📢 & collaborations 💥 it delivers fast results ⚡

Storm_Scraper

5.0

(1)

Youtube Email, Socials & Urls Scraper

endspec/youtube-channel-contacts-extractor

[Instant response] YouTube channel Email, Socials & Urls API to extract public emails, social media links and outbound URLs.

EndSpec

Patreon Creators Scraper 🚀📊

scrapestorm/patreon-creators-scraper

A powerful Patreon creator scraper that captures in-depth creator data, such as profile name 👾, patron count, and audience metrics 📊. Perfect for market research, creator analytics 🏆, and gaining content insights 💡.

Storm_Scraper

5.0

(1)

Reddit API Scraper

comchat/reddit-api-scraper

Reddit Scraper is a powerful tool that allows you to extract data from Reddit such as posts by keyword. With Reddit Scraper, you can easily gather valuable information from Reddit without the need to log in. You can easily use this Reddit scraper as an alternative API.

Comchat

1.4K

1.0

(3)

Patreon Phone Number Scraper

scraper-engine/patreon-phone-number-scraper

Patreon Phone Number Scraper extracts publicly listed phone numbers from Patreon creator profiles and linked pages. Build targeted creator contact lists by niche or category. Ideal for brands and agencies running direct outreach campaigns.