# Fast Product Hunt Scraper — Launches, Upvotes & Makers (`rbbscrap/fast-product-hunt-scraper`) Actor

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.

- **URL**: https://apify.com/rbbscrap/fast-product-hunt-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Fast Product Hunt Scraper — Launches, Upvotes & Makers 🚀

> **Ultra-fast, zero-browser Product Hunt intelligence scraper.** Track daily and weekly tech launches, upvotes velocity, product rankings, maker social profiles (Twitter/X, LinkedIn), and category tags for VC deal flow and early startup scouting on **256MB RAM**.

***

### ⚡ Why Use Fast Product Hunt Scraper?

Product Hunt is the premier launchpad for frontier AI tools, developer software, indie SaaS, and tech startups. For venture capital investors, angel syndicates, growth hackers, and tech journalists, detecting trending launches within their first 24 hours yields the highest competitive edge.

This Actor reverse-engineers the best features of `memo23/producthunt-scraper` while running **without browser overhead or expensive per-item add-on fees**.

```mermaid
graph LR
    A[Topic or Leaderboard] --> B[Fast Product Hunt Scraper]
    B --> C[Launch Name, Tagline & Description]
    B --> D[Daily & Weekly Ranks e.g. #1 Product of the Day]
    B --> E[Upvotes Count & Discussion Threads]
    B --> F[Maker Profiles & Twitter/X Handles]
    B --> G[Clean JSON / CSV Dataset]
```

***

### 🚀 Key Features

| Data Field | Description | Example |
|---|---|---|
| **Product Information** | Launch title, tagline, description, Product Hunt URL | `Cursor, The AI Code Editor built for pair-programming` |
| **Direct Links** | Official external website redirect link | `https://www.cursor.com` |
| **Community Traction** | Live upvote counter and total comment discussion count | `2,340 upvotes, 412 comments` |
| **Leaderboard Badges** | Daily, weekly, or monthly awards | `#1 Product of the Day` |
| **Maker Intelligence** | Full name, username, Twitter/X handle, profile URL | `Aman Sanger, @amansanger (Co-founder)` |
| **Topic Categorization** | Tags indicating software niche | `Developer Tools, Artificial Intelligence` |

***

### 📥 Input Parameters

```json
{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "period": "daily",
  "maxItems": 30,
  "featuredOnly": true
}
```

***

### 📤 Sample Output (JSON)

```json
{
  "name": "Cursor",
  "tagline": "The AI Code Editor built for pair-programming with LLMs",
  "description": "Cursor is an engineered fork of VS Code deeply integrated with frontier LLMs for multi-file edits, codebase chat, and instant terminal debugging.",
  "productHuntUrl": "https://www.producthunt.com/products/cursor",
  "websiteUrl": "https://www.cursor.com",
  "votesCount": 2340,
  "commentsCount": 412,
  "dailyRank": "#1 Product of the Day",
  "topics": [
    "Developer Tools",
    "Artificial Intelligence",
    "Software Engineering"
  ],
  "makers": [
    {
      "name": "Aman Sanger",
      "username": "amansanger",
      "twitterUsername": "amansanger",
      "headline": "Co-founder at Anysphere (Cursor)",
      "profileUrl": "https://www.producthunt.com/@amansanger"
    }
  ],
  "thumbnailUrl": "https://ph-files.imgix.net/cursor-ai-icon.png",
  "featured": true,
  "scrapedAt": "2026-10-22T18:00:00.000Z"
}
```

***

### 💼 Business Use Cases

- **VC & Angel Deal Sourcing**: Identify fast-rising early-stage software companies before mainstream funding rounds.
- **Competitor Monitoring**: Track when rival tools launch major version upgrades or feature releases.
- **SaaS Trend Forecasting**: Spot emerging categories and interface paradigms in generative AI.
- **Founder & Influencer Outreach**: Reach out directly to makers and hunters with verified social accounts.

***

### 🛡️ Integration Ready

Directly export results to **Google Sheets, Airtable, Notion, Webhooks, Make.com, Zapier**, or download via CSV/JSON.
Runs on standard 256MB/512MB RAM for minimal Apify compute unit costs.

# Actor input Schema

## `topics` (type: `array`):

Product Hunt topic categories (e.g. 'artificial-intelligence', 'developer-tools', 'productivity', 'marketing', 'design-tools').

## `searchQueries` (type: `array`):

Search queries to discover launches by keyword.

## `period` (type: `string`):

Leaderboard timeframe: 'daily', 'weekly', or 'monthly'.

## `maxItems` (type: `integer`):

Total number of product launches to extract.

## `featuredOnly` (type: `boolean`):

Extract only featured products selected for the front page.

## `proxyConfiguration` (type: `object`):

Apify Proxy or custom proxies.

## Actor input object example

```json
{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "searchQueries": [
    "ai agent",
    "scraper"
  ],
  "period": "daily",
  "maxItems": 30,
  "featuredOnly": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "topics": [
        "artificial-intelligence",
        "developer-tools",
        "productivity"
    ],
    "searchQueries": [
        "ai agent",
        "scraper"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/fast-product-hunt-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "topics": [
        "artificial-intelligence",
        "developer-tools",
        "productivity",
    ],
    "searchQueries": [
        "ai agent",
        "scraper",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("rbbscrap/fast-product-hunt-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "topics": [
    "artificial-intelligence",
    "developer-tools",
    "productivity"
  ],
  "searchQueries": [
    "ai agent",
    "scraper"
  ]
}' |
apify call rbbscrap/fast-product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/fast-product-hunt-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xaHsuZDiEGE46UJo7/builds/PwBPtxkRCTtd6rDZ1/openapi.json