# Product Hunt Email Scraper Fast Advanced And Cheapest (`scrapers-hub/product-hunt-email-scraper-fast-advanced-and-cheapest`) Actor 🚀 Extract verified Product Hunt creator & email data fast with Fast Advanced & Cheapest. Automate leads for B2B outreach, sales, and recruiting—accurate, efficient, and budget-friendly. 📧✨ Perfect for growth teams seeking targeted contacts. - **URL**: https://apify.com/scrapers-hub/product-hunt-email-scraper-fast-advanced-and-cheapest.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Lead generation, Automation, Developer tools - **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 ### Product Hunt Email Scraper - Fast, Advanced and Cheapest 📬 **Product Hunt Email Scraper - Fast, Advanced and Cheapest** is an Apify actor that extracts email addresses from Product Hunt based on the keywords and email-domain filters you choose. If you’re searching for a **Product Hunt email scraper**, a **ProductHunt email extractor**, or a way to **scrape Product Hunt emails** for outreach, this tool helps you automate contact discovery from public web data—so you can quickly build a **Product Hunt to email list** and move faster on B2B lead generation from Product Hunt. Whether you’re a marketer, researcher, or data analyst, you can use it to collect founders and team emails at scale, saving you hours of manual work. --- ### Why choose Product Hunt Email Scraper - Fast, Advanced and Cheapest? | Feature | Benefit | | --- | --- | | ✅ **Keyword-driven email discovery** | Uses your keywords to find relevant contacts and extract matching emails | | ✅ **Custom email-domain filtering** | Keeps results focused by only collecting emails from domains you specify (e.g. `@gmail.com`, `@yahoo.com`) | | ✅ **Resilient execution with resume support** | Saves progress and resumes using a persisted cursor if the run is interrupted | | ✅ **Structured dataset output** | Pushes consistent fields like `keyword`, `title`, `url`, and `email` into the dataset | | ✅ **Built-in limit controls** | Stops when `maxEmails` is reached to help control runtime and scraping costs | | ✅ **Proxy support for reliable scraping** | Helps improve robustness when scraping publicly available data at scale | --- ### Key features - 🔍 **Accurate email extraction from public pages**: Extracts email addresses and pushes each unique email into the dataset alongside the matching context - 🧩 **Flexible input with keywords list**: Provide multiple `keywords` so the tool can broaden coverage for **Product Hunt leads scraper** use cases - 🧷 **Targeted filtering with custom domains**: Use `customDomains` to focus on email types that fit your outbound strategy (e.g. `@gmail.com`) - 🛡️ **Resilient scraping with fallbacks and pagination checks**: Includes logic to handle empty results and improve continuity across pages - 💾 **Progress persistence & resume**: Saves `seen_emails` and a `cursor` so you can continue where you left off - 📊 **Stop-at-limit to control cost**: The scraper stops once `maxEmails` is reached, which is useful for a **fast email scraping tool** workflow - 🌐 **Structured records for outreach workflows**: Each dataset row includes `network`, `keyword`, `title`, `description`, `url`, and `email` for easier CRM and research pipelines --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["manager", "founder"], "location": "", "customDomains": ["@gmail.com", "@yahoo.com"], "maxEmails": 20 } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | ✅ Yes | A list of keywords or queries to search for when looking for relevant Product Hunt entries and emails | | `location` | ❌ No | Location to filter results. Leave empty (`""`) for no location filter | | `customDomains` | ❌ No | List of custom email domains (for example: `@gmail.com`, `@yahoo.com`). The actor uses these domains to decide which emails to extract | | `maxEmails` | ❌ No | Maximum number of emails to collect. The scraper stops once this limit is reached (helpful to control runtime and cost). Allowed range is 1–10000; the default is 20 | *** ### Output After execution, the actor saves each record into a dataset in JSON format. #### Sample output record ```json [ { "network": "Product hunt.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 for the record (`Product hunt.com`) | | `keyword` | string | The keyword used for the email search/extraction pass | | `title` | string | Title text associated with the found item (or `No title` if missing) | | `description` | string | Extracted description text used for email extraction (may be `No data` if missing) | | `url` | string | URL associated with the result (may be `No URL` if missing) | | `email` | string | The extracted email address that was added to the dataset | > Note: The actor also enforces uniqueness by tracking `seen_emails` during the run, so duplicate emails are skipped. *** ### How to use Product Hunt 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 **Product Hunt Email Scraper - Fast, Advanced and Cheapest** and open its actor page. 3. **Go to the INPUT section**\ Use the built-in input form or provide an `input.json` matching the schema: `keywords`, and optionally `location`, `customDomains`, `maxEmails`. 4. **Set keywords for better results** 📌\ Enter your `keywords` list (for example `manager`, `founder`). This is a core part of using a **Product Hunt email scraper** for B2B lead generation from Product Hunt. 5. **Choose your email domains** 🎯\ Update `customDomains` to include the domains you want to collect (like `@gmail.com` and `@yahoo.com`). 6. **Control runtime with maxEmails** ⏱️\ Set `maxEmails` to decide how many email addresses to collect before the run stops (default is 20). For larger batches, use a higher value. 7. **Run the actor & watch logs** 🧭\ During the run, you’ll see progress in logs. The actor also saves progress so it can resume if needed. 8. **Open the dataset and export your results** 💾\ When the run finishes, open the **Product Hunt Emails Dataset** (“Scraped Leads”) and export the dataset (JSON/CSV available in Apify UI). No coding required—get accurate results in minutes with this **Product Hunt outreach email scraper**. *** ### Advanced features & SEO optimization - 🚀 **Engineered for Product Hunt email scraper use cases**: Specifically designed to help with **scrape Product Hunt emails** and build a **Product Hunt leads scraper** workflow using keyword + domain filters - 🔁 **Resume-friendly execution**: Progress is persisted using stored `seen_emails` and a `cursor`, so interruptions are less painful - 🧯 **Stops safely with maxEmails**: The tool enforces your `maxEmails` target to help control scraping time and costs - 📝 **Consistent, structured output for downstream processing**: Each pushed record includes `keyword`, `title`, `url`, `description`, and `email` for easier analysis and CRM import pipelines *** ### Best use cases - 📈 **B2B lead generation from Product Hunt**: Collect founders and team emails to accelerate outreach lists and pipeline building - 🧠 **Market research on go-to-market signals**: Use **Product Hunt contact email scraper** results to map teams to product themes and roles - ✉️ **Founder outreach email lists**: Gather **collect Product Hunt founders emails** for campaigns targeting specific responsibilities (like manager or founder) - 🧾 **Data analysis & enrichment**: Combine extracted emails with other datasets by joining on `url` and keyword context - 🏗️ **Sales ops automation**: Feed a “Product Hunt to email list” into CRM workflows as structured dataset rows - 🧑‍💻 **Build internal tools**: Use the dataset as the input layer for your own Python/ETL pipelines—an **automated email scraping tool** approach - 📣 **Segmented outreach by email domain**: Filter results using `customDomains` to match deliverability and targeting strategies (useful for a **cheapest email scraper** style budget workflow) *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings - ✅ `location` as a string (optional) - ✅ `customDomains` as an array of strings (optional) - ✅ `maxEmails` as an integer (minimum 1, maximum 10000; default 20) - **Proxy Support** - ✅ Proxy support is used to improve scraping reliability when collecting publicly available data - **Retry Mechanism** - ✅ Includes retry and fallback logic when results are empty or blocked - **Dataset Structure** - ✅ Records are pushed into the **Product Hunt Emails Dataset** (“Scraped Leads” view) - ✅ Each record includes: `network`, `keyword`, `title`, `description`, `url`, `email` - **Rate Limits & Performance** - ✅ Includes built-in stopping behavior via `maxEmails` - ✅ Handles pagination up to a high internal page cap (run time depends on keywords, limits, and result availability) - **Limitations** - ❌ The actor relies on publicly available content; if emails are not present in accessible pages for the chosen filters, results may be limited - ❌ For free users, the run applies a maximum limit of **100 emails** maximum *** ### FAQ #### Do I need to provide keywords to run the actor? ✅ Yes. `keywords` is required. You can provide multiple terms to improve coverage when using this **Product Hunt email scraper**. #### What does customDomains do? ✅ `customDomains` lets you specify which email domains to extract. For example, including `@gmail.com` and `@yahoo.com` helps filter results so you only collect emails from domains you care about. #### Can the actor stop after collecting a specific number of emails? ✅ Yes. Use `maxEmails` to set the maximum number of emails to collect. The actor stops once the limit is reached, which helps control runtime. #### Is location filtering required? ❌ No. `location` is optional. If you leave it empty, the actor runs without a location filter. #### Does it resume if my run is interrupted? ✅ Yes. The actor persists progress using stored `seen_emails` and a `cursor`, so you can continue instead of starting over. #### What kind of data will I get back? ✅ You’ll get dataset records that include `network`, `keyword`, `title`, `description`, `url`, and `email`—ready for a **Product Hunt to email list** or email scraping software fast advanced workflow. #### Is there a free-tier limit? ✅ Yes. If you’re not a paying user, a free-user maximum of **100 emails** is applied. #### How should I contact support or request changes? 💡 You can share feedback and feature requests by emailing . *** ### Support & feature requests Have feedback on **Product Hunt Email Scraper - Fast, Advanced and Cheapest** or want to request improvements for your **ProductHunt email extractor** workflow? We’d love to hear from you. - 💡 **Feature Requests**: Examples include CSV export enhancements, additional filtering options, or improved dataset fields for CRM imports - 📧 **Contact**: Email Your feedback helps shape what we build next for this **advanced email scraper** experience. *** *If you’re looking for the most comprehensive **Product Hunt Email Scraper - Fast, Advanced and Cheapest**, this actor is built to help you move from ideas to outreach lists—fast, structured, and scalable.* ### 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 and regulations (including GDPR/CCPA where relevant), as well as each platform’s terms of service. For data removal requests, contact . Use this **Product Hunt email scraper** responsibly, ethically, and for legitimate purposes only. # 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("scrapers-hub/product-hunt-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("scrapers-hub/product-hunt-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 scrapers-hub/product-hunt-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=scrapers-hub/product-hunt-email-scraper-fast-advanced-and-cheapest", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Product Hunt Email Scraper Fast Advanced And Cheapest", "description": "🚀 Extract verified Product Hunt creator & email data fast with Fast Advanced & Cheapest. Automate leads for B2B outreach, sales, and recruiting—accurate, efficient, and budget-friendly. 📧✨ Perfect for growth teams seeking targeted contacts.", "version": "1.0", "x-build-id": "pzdF5hYbD5wPNTOaH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~product-hunt-email-scraper-fast-advanced-and-cheapest/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-product-hunt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~product-hunt-email-scraper-fast-advanced-and-cheapest/runs": { "post": { "operationId": "runs-sync-scrapers-hub-product-hunt-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~product-hunt-email-scraper-fast-advanced-and-cheapest/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-product-hunt-email-scraper-fast-advanced-and-cheapest", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```