# Product Hunt Launches, Products & Makers Scraper (`kravennagen/product-hunt-scraper`) Actor

Extract trending Product Hunt daily launches, votes, maker socials (Twitter/X, websites), taglines, and direct product links via direct GraphQL API.

- **URL**: https://apify.com/kravennagen/product-hunt-scraper.md
- **Developed by:** [Morgane Flamant](https://apify.com/kravennagen) (community)
- **Categories:** Developer tools, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.85 / 1,000 product hunt launches

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Launches, Products & Makers Scraper

A high-performance **Apify Actor** built in Python to extract launched products, daily & weekly leaderboard rankings, vote counts, maker/founder profiles (Twitter/X, websites, bios), tags, and direct product URLs from Product Hunt via its GraphQL APIs.

***

### 🌟 Key Features

- **⚡ Direct GraphQL API Queries**: Queries Product Hunt's GraphQL API endpoints directly via `httpx` async I/O. No heavy headless browsers (~128MB RAM footprint).
- **👤 Complete Maker Profiles**: Extract maker names, usernames, headlines, profile URLs, avatars, websites, and Twitter/X profiles.
- **🏷️ Topic Tags & Pricing Categories**: Collect product categories, tags, thumbnail images, upvote counts, and comment metrics.
- **🔑 Optional Developer Token**: Pass an optional Product Hunt API Access Token to query the official v2 GraphQL endpoint with high rate limits.
- **📊 Store-Ready Dataset**: Pushes standardized Pydantic models to Apify's Dataset storage with tabular view support.

***

### 📥 Input Parameters

The Actor accepts the following input settings in JSON format:

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `daysBack` | `integer` | `7` | How many days into the past to scrape daily launches from. |
| `featuredOnly` | `boolean` | `true` | When enabled, only extracts featured products on the leaderboard. |
| `maxItems` | `integer` | `100` | Maximum number of products to retrieve (set `0` for unlimited). |
| `developerToken` | `string` | `null` | *(Optional)* Product Hunt API Access Token for official v2 GraphQL API. |

#### Example Input JSON

```json
{
  "daysBack": 7,
  "featuredOnly": true,
  "maxItems": 50
}
```

***

### 📤 Output Format

Each item pushed to the output dataset follows a structured schema:

```json
{
  "id": "782910",
  "name": "SuperAgent AI",
  "slug": "superagent-ai",
  "product_hunt_url": "https://www.producthunt.com/posts/superagent-ai",
  "tagline": "Build autonomous AI agents in seconds",
  "description": "SuperAgent is an open-source framework for building and deploying AI agents...",
  "website": "https://superagent.sh",
  "votes_count": 542,
  "comments_count": 89,
  "reviews_rating": 4.9,
  "pricing_type": "free",
  "featured_date": "2026-08-25",
  "topics": ["Artificial Intelligence", "Developer Tools", "Open Source"],
  "makers": [
    {
      "id": "12345",
      "name": "John Doe",
      "username": "johndoe",
      "headline": "Building AI tools",
      "profile_url": "https://www.producthunt.com/@johndoe",
      "twitter_url": "https://x.com/johndoe",
      "website_url": "https://johndoe.com",
      "avatar_url": "https://ph-avatars.imgix.net/..."
    }
  ],
  "thumbnail_url": "https://ph-files.imgix.net/..."
}
```

***

### 🚀 Running Locally

#### Step 1: Install Dependencies

```bash
pip install -r requirements.txt
```

#### Step 2: Run the Actor

```bash
python -m src.main
```

***

### 🐳 Docker Support

To build and run containerized:

```bash
docker build -t product-hunt-scraper .
docker run -it product-hunt-scraper
```

# Actor input Schema

## `daysBack` (type: `integer`):

How many days into the past to scrape daily launches from.

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

When enabled, only extracts featured products on the official leaderboard.

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

Maximum number of products to retrieve. Set to 0 for unlimited.

## `developerToken` (type: `string`):

Optional Product Hunt Developer API token for querying official v2 GraphQL API.

## Actor input object example

```json
{
  "daysBack": 7,
  "featuredOnly": true,
  "maxItems": 100
}
```

# Actor output Schema

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

Clean structured Product Hunt records

# 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 = {
    "daysBack": 7,
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("kravennagen/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 = {
    "daysBack": 7,
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("kravennagen/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 '{
  "daysBack": 7,
  "maxItems": 100
}' |
apify call kravennagen/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kravennagen/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/W2bhf4JITvmiJc9vc/builds/SQabenNSPIlLFWVbT/openapi.json