# Gofundme Email Scraper Fast Advanced And Cheapest (`solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest`) Actor 📧 Gofundme Email Scraper (Fast • Advanced • Cheapest) extracts verified fundraiser emails quickly—filter by campaign/category for targeted outreach. 🚀 Perfect for lead gen, nonprofits, agencies & sales teams. Save time, boost conversions. 💰 - **URL**: https://apify.com/solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest.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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Gofundme Email Scraper - Fast, Advanced and Cheapest **Gofundme Email Scraper - Fast, Advanced and Cheapest** is an Apify actor that extracts email addresses from GoFundMe using the keywords and filters you choose. It helps marketers and researchers automatically build a **GoFundMe donor email extractor** or **GoFundMe outreach email list**—so you can spend less time searching manually and move faster to outreach at scale. Whether you’re building a **GoFundMe campaign email list**, running **mass GoFundMe email scraping** for lead qualification, or assembling contact data for fundraising communications, this actor focuses on pulling **emails from publicly available sources** and storing results in a structured dataset for easy export and analysis. --- ### Why choose Gofundme Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | |---|---| | ✅ **Email extraction from GoFundMe** | Quickly collects emails associated with results relevant to your keywords and domains | | ✅ **Keyword and domain targeting** | Improves lead relevance by using targeted keywords and custom email-domain filters | | ✅ **Resumable progress** | Continues from where it left off using saved cursor and already-seen emails | | ✅ **Max email collection control** | Stops once `maxEmails` is reached to manage scraping time and costs | | ✅ **Structured dataset rows** | Outputs consistent records with `keyword`, `title`, `description`, `url`, and `email` | | ✅ **Scalable automation workflow** | Designed for running across multiple keywords and email domains in a single job | --- ### Key features - 🔍 **Targeted GoFundMe email discovery**: Uses your provided keywords to find relevant GoFundMe leads and extracts emails that match your chosen domains. - 🎯 **Custom email-domain filters**: Focuses extraction using your `customDomains` (for example `@gmail.com`, `@yahoo.com`) to find emails you can actually use. - 🔄 **Resumable scraping progress**: Saves progress (keyword/domain cursor + seen emails) so long runs can continue reliably. - 🛡️ **Reliability-minded execution**: Includes resilience patterns and stopping logic when it stops producing new emails. - 📊 **Incremental dataset saving**: Pushes each found lead as a dataset row immediately, reducing the risk of losing work. - 💾 **Clean, table-friendly output**: Dataset output is structured for easy review in the Apify UI. - ⏱️ **Controlled run length**: Lets you set `maxEmails` to cap output volume and keep runs cost-effective. - 🌍 **Optional location filtering**: Adds a location filter when you provide `location` in your input. --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["manager", "founder"], "location": "New York, NY", "customDomains": ["@gmail.com", "@yahoo.com"], "maxEmails": 50 } ```` #### Input Fields | Field | Required | Description | |---|---:|---| | `keywords` | ✅ | A list of keywords or queries used to find relevant GoFundMe results. Used as the basis for extracting emails (e.g., for **GoFundMe donor email extractor** workflows). | | `location` | ❌ | A location string used to filter results. Leave empty if you want broader coverage. | | `customDomains` | ❌ | A list of email domains (like `@gmail.com`, `@yahoo.com`) that the scraper uses as a filter for extracting emails. | | `maxEmails` | ❌ | Maximum number of emails to collect. The scraper stops once this limit is reached. Higher limits may take longer and do not guarantee reaching the target number. | *** ### Output The actor saves each found lead as a dataset row in JSON format. Example dataset row: ```json { "network": "Gofundme.com", "keyword": "manager", "title": "No title", "description": "No data", "url": "No URL", "email": "example@gmail.com" } ``` #### Output Fields | Field | Type | Description | |---|---|---| | `network` | string | The source network label used in the dataset (`"Gofundme.com"`). | | `keyword` | string | The keyword from your input that led to this result. | | `title` | string | Result title text as captured from the listing. | | `description` | string | Text content extracted from the result snippet (where available). | | `url` | string | The associated URL captured from the listing. | | `email` | string | The extracted email address that matched your domain filter. | Notes: - The actor pushes rows incrementally to the dataset as it discovers new emails. - There is no dedicated `error_message` field in the dataset output defined by the actor—errors are handled via logging and run behavior. *** ### How to use Gofundme Email Scraper - Fast, Advanced and Cheapest (via Apify Console) 1. **Open Apify Console** Log in at https://console.apify.com and open the Actors page. 2. **Find the actor** Search for **Gofundme Email Scraper - Fast, Advanced and Cheapest** and open its details. 3. **Go to the INPUT panel** Paste your `input.json` values in the built-in input editor. 4. **Set your keywords** Enter a list in `keywords` (required). These drive the **GoFundMe email finder** behavior for different lead angles like **manager** and **founder**. 5. **Optional: narrow by location** Add a string to `location` if you want results filtered to a specific region; otherwise keep it empty for broader coverage. 6. **Optional: filter by email domains** Update `customDomains` (like `@gmail.com`, `@yahoo.com`) to target emails you can use for outreach—this is especially useful for **GoFundMe campaign email list** building. 7. **Optional: cap output with maxEmails** Set `maxEmails` to control how many emails to collect before stopping. If you don’t set it, the actor uses a default of `20` in the input schema. 8. **Run and monitor logs** Start the run. You’ll see logs while it processes your keyword/domain combinations and pushes results as they’re found. 9. **Access results in the dataset** When the run finishes, open the dataset in the **OUTPUT** tab and export to your preferred format (JSON/CSV via Apify dataset exports). No coding required—get **GoFundMe email scraper** results in minutes. *** ### Advanced features & SEO optimization - 🔄 **Resumable long runs**: Maintains a saved cursor (keyword/domain position) and a set of already-seen emails, so you can pause/resume without restarting from scratch. - 🎯 **Engineered for GoFundMe outreach email list building**: Specifically designed to excel at **GoFundMe donor email extractor** and **GoFundMe fundraising contact scraper** workflows using your keyword and domain filters. - 📊 **Structured, export-ready output**: Each pushed dataset row contains consistent fields (`keyword`, `title`, `description`, `url`, `email`) for easy analysis and CRM ingestion. - 💾 **Incremental saving for safety**: Emails are pushed to the dataset as they are discovered, helping reduce the impact of interruptions. - 🛡️ **Stop conditions to manage efficiency**: Uses stopping logic based on `maxEmails` and periods with no new emails, helping you avoid endless runs. *** ### Best use cases - 📈 **Lead generation for fundraising outreach**: Build a **GoFundMe outreach email list** by extracting emails tied to relevant keyword-focused results for faster campaign execution. - 💌 **Donor and organizer research**: Gather **GoFundMe fundraising contact scraper** data to support research into who runs campaigns and who may be reachable for partnerships. - 🧠 **Data enrichment for analysts**: Combine the structured `keyword`, `url`, and `email` fields to analyze lead patterns across different search angles. - 🗂️ **Mass contact list building**: Use **mass GoFundMe email scraping** for batch workflows where you need many leads quickly—then deduplicate and segment downstream. - 🏷️ **Niche targeting by email domain**: Improve deliverability planning by extracting only emails matching your `customDomains` (useful for **GoFundMe donor email extractor** quality control). - 💼 **CRM pipeline automation**: Feed extracted rows into your CRM or outreach tooling as structured records with consistent keys (great for pipeline automation). - 🔎 **GoFundMe email finder for specific roles**: Search for roles like **manager** and **founder** to find contacts that align with your outreach messaging. *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings (required) - ✅ `location` as a string (optional) - ✅ `customDomains` as an array of strings (optional) - ✅ `maxEmails` as an integer with bounds (`minimum: 1`, `maximum: 10000`) - **Proxy Support** - ✅ Built-in proxy support for more reliable scraping runs - **Retry Mechanism** - ✅ Includes resilience and stopping logic intended to handle pages that return no results - **Dataset Structure** - ✅ Each dataset row includes: `network`, `keyword`, `title`, `description`, `url`, `email` - **Limitations** - ❌ Results are limited by stopping rules (not every run will reach `maxEmails`) - ❌ Output depends on what matching publicly available sources contain (emails may not exist for every result) - **Rate Limits & Performance** - Runs can take longer with higher limits and wider coverage; use `maxEmails` to control job duration. *** ### FAQ #### Is Gofundme Email Scraper - Fast, Advanced and Cheapest able to extract emails from all GoFundMe pages? ❌ Not necessarily. The actor only extracts emails that match your provided `customDomains` and that are present in the publicly available text content it processes. If a result doesn’t contain matching email patterns, it won’t produce an `email` for that row. #### What input fields are required to run Gofundme Email Scraper - Fast, Advanced and Cheapest? ✅ Only `keywords` is required. The `location`, `customDomains`, and `maxEmails` fields are optional, but they can significantly improve targeting for a **GoFundMe campaign email list** or **GoFundMe donor email extractor** use case. #### Can I limit how many emails the actor collects? ✅ Yes. Use `maxEmails` to set a maximum number of emails to collect. The scraper stops once it reaches that limit, which helps keep runs efficient. #### Does the actor save results as it goes? ✅ Yes. The actor pushes each found record to the dataset incrementally, so you can monitor progress and reduce the risk of losing work if the run stops early. #### Can I resume a stopped run without redoing everything? ✅ Yes. The actor persists progress using a saved cursor and a list of already-seen emails, so it can continue from where it left off. #### Does Gofundme Email Scraper - Fast, Advanced and Cheapest support location targeting? ✅ Yes. If you set `location`, the actor applies that filter while searching for relevant results before extracting matching emails. #### Can I export the output for use in marketing tools? ✅ Yes. Results are stored in the Apify dataset, which you can export (for example as JSON/CSV) for downstream workflows like CRM import or analysis. *** ### Support & feature requests If you’re using **Gofundme Email Scraper - Fast, Advanced and Cheapest** for **GoFundMe email scraper** projects and want improvements, we’d love to hear from you. - 💡 **Feature Requests**: Tell us what you want next—for example, enhancements for CSV export workflows, richer output fields, or refined email-domain filtering behavior. - 📧 **Contact**: Email us at . Your feedback helps shape the roadmap for **GoFundMe email finder** and **outreach email list** use cases. *** ### Disclaimer **This tool only accesses publicly accessible sources**. It does not access private profiles, authenticated data, or password-protected content. You are responsible for complying with applicable laws (including GDPR/CCPA where relevant), spam regulations, and each platform’s Terms of Service. For data removal requests, contact . Use **Gofundme Email Scraper - Fast, Advanced and Cheapest** responsibly, ethically, and only for legitimate purposes. *Get the most comprehensive, SEO-optimized Gofundme Email Scraper - Fast, Advanced and Cheapest experience for your outreach and research workflows.* # Actor input Schema ## `keywords` (type: `array`): A list of keywords or queries to search for. ## `location` (type: `string`): Location to filter search results. ## `customDomains` (type: `array`): List of custom email domains ## `maxEmails` (type: `integer`): 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. ## Actor input object example ```json { "keywords": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "maxEmails": 20 } ``` # 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": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest").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": [ "manager", "founder", ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com", ], } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest").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": [ "manager", "founder" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ] }' | apify call solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/gofundme-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gofundme Email Scraper Fast Advanced And Cheapest", "description": "📧 Gofundme Email Scraper (Fast • Advanced • Cheapest) extracts verified fundraiser emails quickly—filter by campaign/category for targeted outreach. 🚀 Perfect for lead gen, nonprofits, agencies & sales teams. Save time, boost conversions. 💰", "version": "1.0", "x-build-id": "6p19ZjgWIuOLw2X2c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~gofundme-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-gofundme-email-scraper-fast-advanced-and-cheapest", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~gofundme-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-solid-scraper-gofundme-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~gofundme-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-solid-scraper-gofundme-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 or Queries", "type": "array", "description": "A list of keywords or queries to search for.", "default": [ "manager", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Location to filter search results.", "default": "" }, "customDomains": { "title": "Enter Custom Email Domains (e.g. @gmail.com, @yahoo.com)", "type": "array", "description": "List of custom email domains", "default": [ "@gmail.com", "@yahoo.com" ], "items": { "type": "string" } }, "maxEmails": { "title": "Enter 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 } } }, "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 } } } } } } } } } } ```