# Patreon Email Scraper (`solid-scraper/patreon-email-scraper`) Actor 🚀 Patreon Email Scraper extracts creator emails from Patreon campaigns fast and accurately. 🎯 Find targeted contacts by niche and keywords—ideal for outreach, agencies, and growth teams. 📩 Get more leads, less manual work. - **URL**: https://apify.com/solid-scraper/patreon-email-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### Patreon Email Scraper 📬 **Patreon Email Scraper** is an Apify actor that scrapes email addresses from publicly available Patreon-related sources using your chosen **keywords** and **custom email-domain filters**. If you’re looking for a *Patreon email scraper* to build a *Patreon creator email list*, this tool automates the heavy lifting—helping you turn research into outreach-ready data in less time. Whether you’re a marketer, researcher, or data analyst, this **Patreon Email Scraper** supports workflows like extracting emails for lead generation, scraping Patreon contact email data, and building email lists for campaigns at scale—saving you hours of manual work. --- ### Why choose Patreon Email Scraper? | Feature | Benefit | | --- | --- | | ✅ **Keyword-driven extraction** | Searches using your provided keywords to find relevant email mentions | | ✅ **Custom email domains filter** | Keeps results focused on the email types you care about (e.g., `@gmail.com`) | | ✅ **Proxy configuration support** | Helps you run reliable scraping jobs using your proxy settings | | ✅ **Fallback logic for empty results** | If no emails are found, the actor can switch to a fallback proxy approach to improve outcomes | | ✅ **Structured JSON output** | Produces consistent records with `keyword`, `title`, `description`, `url`, and `email` fields | | ✅ **Deduplication (no repeats)** | Avoids duplicate emails using internal tracking of already-seen addresses | --- ### Key features - 🔎 **Patreon email scraping by keywords**: Use your keyword list to target the most relevant Patreon creator email opportunities. - 🎯 **Email-domain filtering**: Provide `customDomains` so the scraper focuses on specific domains while harvesting emails. - 🧩 **Platform setting included**: The actor includes a `platform` input (currently only `Patreon`) so your runs are explicitly scoped. - 🛡️ **Proxy configuration support + resilience**: Includes built-in proxy handling so runs can succeed even when connectivity varies. - 🔁 **Fallback behavior for empty batches**: If no emails are found for a keyword, it can automatically switch to a fallback proxy configuration to try again. - 💾 **Clean, structured dataset records**: Each extracted record includes the exact `email` plus the context fields used to find it. - 📊 **Bulk collection workflow**: Loops over every combination of `keywords` and `customDomains`, collecting results across your full batch. --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["john", "marketing"], "location": "", "platform": "Patreon", "customDomains": ["@gmail.com"], "proxyConfiguration": {} } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | ✅ Yes | A list of keywords to search for. The actor will use each keyword during scraping. | | `location` | ❌ No | Optional location text used to filter results. Leave it empty for no location filtering. | | `platform` | ❌ No | Platform selector. Choose `Patreon` (this actor is scoped to Patreon). | | `customDomains` | ❌ No | List of custom email domains used to filter which emails are collected (e.g., `@gmail.com`). | | `proxyConfiguration` | ❌ No | Configure proxies for this Actor. This is an object used to control proxy behavior. | Nested `proxyConfiguration` fields (documented by the actor input schema behavior): | Field | Required | Description | | --- | --- | --- | | `proxyConfiguration.proxy support` | ❌ No | When provided, controls whether the actor uses Apify Proxy based on your configuration. | | `proxyConfiguration.proxy support` | ❌ No | Optional list of proxy group names used inside the proxy configuration. | > Note: In the actor logic, if proxy settings are not selected by the user, it can automatically obtain a proxy configuration and may use fallback behavior when no emails are found. *** ### Output The actor saves collected results in **JSON format** by pushing an array of records to the default dataset. Sample output: ```json [ { "keyword": "marketing", "title": "Example Result Title", "description": "Some publicly available snippet text that includes contact info.", "url": "http://example.com", "email": "contact@example.com" } ] ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `keyword` | string | The keyword currently being used for extraction. | | `title` | string | The title text associated with the result item where email content was found. | | `description` | string | Extracted text context from the result description that contained (or led to) the email. | | `url` | string | The link URL associated with the extracted result item. | | `email` | string | The extracted email address. | The actor also deduplicates emails internally, so each email should appear only once per run. *** ### How to use Patreon Email Scraper (via Apify Console) 1. **Open Apify Console**\ Log in at https://console.apify.com and go to the **Actors** tab. 2. **Find Patreon Email Scraper**\ Search for **Patreon Email Scraper** and open the actor page. 3. **Go to the INPUT section**\ Configure the built-in input form or upload your `input.json`. 4. **Set your keywords**\ Enter one or more items in `keywords` (e.g., creator topics, brand terms, or names).\ This actor uses every keyword you provide, so include only what you want to target. 5. **(Optional) Filter by location**\ Add `location` if you want the run to filter results using that location text. Leave it blank to scrape without location filtering. 6. **Choose email domains to collect**\ In `customDomains`, list the domains you want to harvest (for example: `@gmail.com`).\ This helps keep results aligned with your outreach preferences. 7. **(Optional) Configure proxies**\ If you want to control how requests are routed, fill out `proxyConfiguration`.\ The actor supports proxy configuration and can also switch to a fallback proxy approach when a keyword run returns no emails. 8. **Run and monitor results**\ Start the run with the **Run** button. During execution, watch logs for progress and extracted entries.\ When finished, open the **OUTPUT** dataset to view and export the JSON results (e.g., JSON/CSV depending on your workflow). No coding required—get accurate Patreon email scraping results in minutes with this **Patreon Email Scraper**. *** ### Advanced features & SEO optimization - 🔍 **Engineered for “Patreon email scraper” workflows**: Designed specifically for *scrape Patreon emails* use cases driven by `keywords` + `customDomains`. - 📦 **Patreon creator email list building**: Ideal for assembling a *Patreon subscriber email extractor* style dataset where each record includes email + context. - 🛡️ **Rate/availability resilience via proxy handling**: Includes proxy support and fallback logic to improve real-world success rates when runs are inconsistent. - 🧼 **Deduplication for cleaner outreach lists**: Prevents repeated emails from cluttering your *Patreon lead generation email scraper* output. - 📊 **Structured results for fast downstream use**: Output records include `keyword`, `title`, `description`, `url`, and `email`, which makes it easier to plug into analysis or outreach tools. *** ### Best use cases - 📈 **Outreach marketers building a Patreon outreach email scraper list**: Collect targeted emails quickly by topic (keywords) and domain filters (`customDomains`). - 🧑‍🔬 **Market researchers mapping creator communities**: Use *Patreon email harvesting tool* outputs to study contact patterns around specific niches. - ✉️ **CRM and sales ops enriching lead databases**: Import *Patreon contact email scraper* results into your pipeline for segmentation and follow-up. - 🧠 **Data analysts validating email-domain hypotheses**: Analyze which email domains appear most often for specific keywords and contexts. - 🧾 **Campaign managers extracting Patreon campaign email extraction data**: Gather email contacts that appear in publicly available contexts tied to your campaign themes. - 💻 **Developers building bulk email list workflows**: Use the JSON dataset output for automated processing (dedupe, scoring, and enrichment) in your own systems. - 👥 **Creators and agencies sourcing fan email leads**: Support *Patreon fan email scraper* tasks where you need faster list building for outreach and partnerships. *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings - ✅ `location` as a string (optional) - ✅ `platform` with the `Patreon` option - ✅ `customDomains` as an array of strings - ✅ `proxyConfiguration` as an object (optional) - **Proxy Support** - ✅ Yes—supports user-provided proxy configuration via `proxyConfiguration` - ✅ Built-in fallback proxy behavior when no emails are found for a keyword run - **Retry Mechanism** - ✅ Uses resilient execution patterns (the actor includes fallback logic when needed) - **Dataset Structure** - ✅ JSON array of records pushed via `await Actor.push_data(results)` - Records include: `keyword`, `title`, `description`, `url`, `email` - **Rate Limits & Performance** - ⚠️ Performance varies based on network conditions and proxy routing, since the actor makes HTTP requests per keyword/domain combination. - **Limitations** - ❌ Only extracts emails that match your `customDomains` filters - ❌ Emails are sourced only from publicly available content that contains email-like strings matching the domain filter *** ### FAQ #### Can I scrape Patreon emails for multiple keywords at once? ✅ Yes. You can provide multiple items in the `keywords` array, and the actor loops through each keyword while collecting matching emails, producing a combined JSON dataset. #### How do I control which email addresses get collected? ✅ Use `customDomains`. The actor filters extracted email-like strings so only addresses that match the domains you provide are included in results (for example `@gmail.com`). #### What does the `platform` input do? ✅ The actor includes a `platform` selector, currently set to `Patreon`. It’s used to keep the run explicitly scoped to Patreon-based data harvesting. #### Do you support proxies? ✅ Yes. You can pass `proxyConfiguration` to control proxy behavior. The actor also supports fallback behavior when a keyword run returns no emails. #### What fields will I get in the output dataset? ✅ Each output record includes `keyword`, `title`, `description`, `url`, and `email`. These fields provide both the extracted email and contextual details from the result item where it was found. #### Is this suitable for Patreon email list builder and outreach use? ✅ It’s designed for list-building workflows like *Patreon subscriber email extractor* and *Patreon outreach email scraper* use cases, where you want structured JSON output that can be imported into downstream tools. #### Are there any legal or compliance considerations? ✅ Yes. The actor works with **publicly accessible sources**, but it’s your responsibility to comply with applicable laws and platform policies (including GDPR/CCPA considerations, spam regulations, and website terms). #### Can I request data removal? ✅ If you need data removal related to results, contact . *** ### Support & feature requests If you’re using **Patreon Email Scraper** for lead generation or research, feedback is always welcome. 💡 - 💡 **Feature Requests**: Want enhancements like additional export formats, more filtering options, or better output enrichment for your *Patreon email list builder* workflow? Tell us what you need. - 📧 **Contact**: Reach out at . Your feedback helps shape the roadmap for improving this **Patreon Email Scraper**. *** ### Closing CTA / Final thoughts *Get the most comprehensive Patreon email scraping workflow for your next outreach or research batch—built for speed, clarity, and structured results.*\ **Patreon Email Scraper** is your go-to option for scrape Patreon emails without manual copy-pasting. 🚀 *** ### Disclaimer **This tool accesses publicly accessible sources only.** It does not access private profiles, authenticated data, or password-protected pages. You are responsible for ensuring your use complies with applicable laws and regulations (including GDPR/CCPA where relevant), spam regulations, and platform terms of service. Please use the **Patreon Email Scraper** responsibly, ethically, and for legitimate purposes only. For data removal requests, contact . # Actor input Schema ## `keywords` (type: `array`): A list of keywords to search for. ## `location` (type: `string`): Location to filter search results. ## `platform` (type: `string`): Select platform. ## `customDomains` (type: `array`): List of custom email domains ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor. ## Actor input object example ```json { "keywords": [ "john", "marketing" ], "location": "", "platform": "Patreon", "customDomains": [ "@gmail.com" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "john", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/patreon-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": [ "john", "marketing", ], "location": "", "customDomains": ["@gmail.com"], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/patreon-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "john", "marketing" ], "location": "", "customDomains": [ "@gmail.com" ] }' | apify call solid-scraper/patreon-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/patreon-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Patreon Email Scraper", "description": "🚀 Patreon Email Scraper extracts creator emails from Patreon campaigns fast and accurately. 🎯 Find targeted contacts by niche and keywords—ideal for outreach, agencies, and growth teams. 📩 Get more leads, less manual work.", "version": "0.0", "x-build-id": "NyWCML5j1uUGeSPYf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~patreon-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~patreon-email-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-patreon-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~patreon-email-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-patreon-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "A list of keywords to search for.", "default": [ "john", "marketing" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "platform": { "title": "Platform", "enum": [ "Patreon" ], "type": "string", "description": "Select platform.", "default": "Patreon" }, "customDomains": { "title": "Custom Email Domains", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor." } } }, "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 } } } } } } } } } } ```