Product Hunt Scraper — Launches, Upvotes & Makers

Product Hunt Scraper — Launches, Upvotes & Makers

Product Hunt Scraper extracts structured Product Hunt records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out G2 Scraper, TrustRadius Scraper, Trustpilot Scraper, Apple App Store Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Product Hunt Scraper do?

Scrape Product Hunt daily and weekly tech launches, upvotes velocity, product rankings, maker social profiles, external URLs, and tags for VC deal flow and SaaS discovery on 256MB RAM.

Whether you need to monitor Product Hunt at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Product Hunt Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Product Hunt listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Product Hunt API

• No API Keys or Approval Delays: Start extracting public Product Hunt data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Product Hunt.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Product Hunt?

Product Hunt Scraper extracts the following data points from Product Hunt:

📝 Topics (topics)	📝 Search Queries (searchQueries)	📝 Period (period)
📝 Max Items (maxItems)	📝 Name (name)	🏷️ Tagline (tagline)
📝 Description (description)	🔗 Product Hunt URL (productHuntUrl)	🔗 Website URL (websiteUrl)
👍 Votes Count (votesCount)	💬 Comments Count (commentsCount)	⭐ Daily Rank (dailyRank)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	name (Name)
Metrics, Pricing & Engagement	maxItems (Max Items), votesCount (Votes Count), commentsCount (Comments Count), dailyRank (Daily Rank)
Details, Attributes & Context	topics (Topics), searchQueries (Search Queries), period (Period), tagline (Tagline), description (Description), makers (Makers)
Direct Links, Media & Timestamps	productHuntUrl (Product Hunt URL), websiteUrl (Website URL)

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Why scrape Product Hunt? (Typical Use Cases & Guides)

You can use Product Hunt Scraper for a wide range of data and business workflows:

• Competitive & Market Intelligence: Track real-time listings, rankings, pricing shifts, and activity across Product Hunt without manual copy-pasting.
• B2B Lead Generation & CRM Enrichment: Extract structured Product Hunt records to enrich pipelines in HubSpot, Salesforce, Clay, Pipedrive, or Airtable.
• Trend Detection & Sentiment Monitoring: Analyze volume velocity, user ratings, and community feedback on Product Hunt to spot market opportunities early.
• AI Agents, RAG & LLM Knowledge Pipelines: Feed normalized, zero-null Product Hunt datasets directly into vector databases, autonomous AI agents, and LLM workflows.
• Automated Reporting & Scheduled Monitoring: Connect Product Hunt Scraper to Make.com, n8n, Zapier, or Google Sheets for hands-free daily data refreshes.
• Market Research & Competitor Analysis: Benchmark Product Hunt offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Product Hunt data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Product Hunt data

Product Hunt Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Product Hunt Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Product Hunt by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Product Hunt. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Product Hunt links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Product Hunt, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
topics	array	["artificial-intelligence","develop...	Product Hunt topic categories (e.g. 'artificial-intelligence', 'developer-tools', 'productivity', 'marketing', 'design-tools').
searchQueries	array	["ai agent","scraper"]	Search queries to discover launches by keyword.
period	string	daily	Leaderboard timeframe: 'daily', 'weekly', or 'monthly'. Options: daily, weekly, monthly.
maxItems	integer	10	Total number of product launches to extract.
featuredOnly	boolean	true	Extract only featured products selected for the front page.
proxyConfiguration	object	{"useApifyProxy":true}	Apify Proxy or custom proxies.

Example 1: Standard Extraction (1-Click Default)

{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "searchQueries": [
    "ai agent",
    "scraper"
  ],
  "period": "daily",
  "maxItems": 10
}

Example 2: Filtered & Batch Extraction

{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "searchQueries": [
    "ai agent",
    "scraper"
  ],
  "period": "weekly",
  "maxItems": 20,
  "featuredOnly": true
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Topics	Search Queries	Period	Max Items
artificial-intelligence	ai agent	daily	10
artificial-intelligence	ai agent	daily	13
artificial-intelligence	ai agent	daily	8

JSON Output Example

{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "searchQueries": [
    "ai agent",
    "scraper"
  ],
  "period": "daily",
  "maxItems": 10
}

Output Fields Reference

Field Name	Type	Description
topics	array	Product category tags
searchQueries	array	Extracted search queries value.
period	string	Extracted period value.
maxItems	number	Extracted max items value.
name	string	Product name
tagline	string	Short product description/catchphrase
description	string	Detailed launch summary
productHuntUrl	string	Product Hunt listing page link
websiteUrl	string	Official product website link
votesCount	number	Total upvotes received
commentsCount	number	Community comments count
dailyRank	string	Daily leaderboard rank (e.g. #1 Product of the Day)
makers	array	Founders / Makers profiles

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🔗 Scrape any data you need with dedicated scrapers

Combine Product Hunt Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 G2 Scraper	🔹 TrustRadius Scraper	🔹 Trustpilot Scraper
🔹 Apple App Store Scraper	🔹 Google Play Scraper	🔹 Reddit Scraper

Scraper	Extracted Data & Primary Use Case
G2 Scraper	Software Reviews, Pricing & Buyer Intent
TrustRadius Scraper	B2B Software Reviews
Trustpilot Scraper	Reviews & Ratings
Apple App Store Scraper	iOS Apps & Reviews
Google Play Scraper	Apps, Installs & Reviews
Reddit Scraper	Posts, Comments & Subreddits

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⚠️ Error Items & Resilience Reference

Product Hunt Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Product Hunt cost?

Product Hunt Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0003 per Scraped Product Hunt Scraper Record ($0.3 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~16,666 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Product Hunt Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Product Hunt Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Product Hunt Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Product Hunt Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/product-hunt-scraper").call(run_input={
    "topics": ["artificial-intelligence","developer-tools","productivity"],
    "searchQueries": ["ai agent","scraper"],
    "period": "daily",
    "maxItems": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('rbbscrap/product-hunt-scraper').call({
    topics: ["artificial-intelligence","developer-tools","productivity"],
    searchQueries: ["ai agent","scraper"],
    period: "daily",
    maxItems: 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Product Hunt Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Product Hunt Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Product Hunt Scraper with your input parameters.
3. Receive structured Product Hunt dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Product Hunt?

No. Product Hunt Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Product Hunt?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Product Hunt Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.