# Product Hunt Upcoming Launches Fetcher (`profilehunt/product-hunt-upcoming-launches-fetcher`) Actor

Fetches upcoming Product Hunt launches with detailed maker profiles, including LinkedIn and Twitter information. Perfect for networking, market research, and staying ahead of new product launches.

- **URL**: https://apify.com/profilehunt/product-hunt-upcoming-launches-fetcher.md
- **Developed by:** [ProfileHunt](https://apify.com/profilehunt) (community)
- **Categories:** Lead generation
- **Stats:** 30 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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

## ProfileHunt: Advanced Product Hunt Profiles API

### What is ProfileHunt?

ProfileHunt is a powerful API tool that allows you to **extract comprehensive data about upcoming Product Hunt launches**, with a special focus on the people behind the products. Unlike standard Product Hunt scraping tools, ProfileHunt enriches launch data with social media profiles (LinkedIn, Twitter) of makers, team members, and Product Hunt staff, giving you a complete picture of the people driving innovation.

This Actor crawls upcoming Product Hunt launches and extracts detailed information including product details, maker profiles, and social media connections, allowing you to build relationships with creators even before their products go live.

### Why use ProfileHunt?

Product Hunt has become the premier platform for discovering and launching new products, with a vibrant community of makers, early adopters, and tech enthusiasts. Having advanced information about upcoming launches provides several advantages:

- **Early networking opportunities** with product creators before their launch day
- **Competitive intelligence** on new products in your industry
- **Talent scouting** by identifying skilled makers and teams
- **Investment research** to discover promising startups early
- **Marketing opportunity identification** to plan collaborations or partnerships
- **Community building** by connecting with makers in your niche

### What data can you extract with ProfileHunt?

ProfileHunt delivers rich, structured data for upcoming Product Hunt launches, focused on both products and the people behind them. Here’s what you get:

**Product Information**

- Product ID, name, and description
- Tagline and launch date
- Product Hunt URL and official website
- Categories/topics (e.g., Photography, Artificial Intelligence)
- Launch status

**Maker & Team Details**

- Maker’s full name and Product Hunt username
- Maker’s Product Hunt profile URL
- Maker’s personal website
- Social profiles:
  - LinkedIn (profile URL)
  - Twitter/X (profile URL and username)
- Team member titles and roles (e.g., “Building apps for human connection”)
- Team member social links

**Community & Engagement**

- List of followers/supporters (name and Product Hunt username)
- Engagement metrics (upvotes, comments – when available)

**Data Format**

- All data is provided in a clean, developer-friendly JSON format for easy integration.

**Example Output:**

```json
{
  "productId": "***",
  "productName": "***",
  "makerName": "***",
  "productUrl": "***",
  "productDescription": "***",
  "productCategory": "***",
  "makerUrl": "***",
  "website": "***",
  "linkedin": "***",
  "twitter": "***",
  "launchDate": "2025-05-10",
  "followers": "***",
  "teamMemberTitle": "***",
  "isAgent": false
}
```

### Output Formats

1. **JSON** (default)
   - Structured data format
   - Perfect for API integration
   - Full data structure preserved

2. **CSV**
   - Comma-separated values
   - Ideal for spreadsheet applications
   - Easy to import into data analysis tools

3. **Excel**
   - Microsoft Excel format
   - Ready-to-use spreadsheet
   - Formatted for easy reading

### Data Fields

| Field | Description |
|-------|-------------|
| productId | Unique identifier for the product |
| productName | Name of the product |
| makerName | Name of the product maker |
| productUrl | URL to the Product Hunt page |
| productDescription | Brief description of the product |
| productCategory | Categories the product belongs to |
| makerUrl | URL to the maker's Product Hunt profile |
| website | Maker's website URL |
| linkedin | Maker's LinkedIn profile URL |
| twitter | Maker's Twitter profile URL |
| launchDate | Scheduled launch date |
| followers | List of followers with usernames |
| teamMemberTitle | Maker's title or role |
| isAgent | Whether the maker is an agent |

ProfileHunt makes it easy to discover, analyze, and connect with upcoming products and their makers-all in one place.

# Actor input Schema

## `format` (type: `string`):

Select the format in which you want to receive the data:

- **JSON** (default) - Returns data in a structured JSON format, perfect for API integration and programmatic use.
- **CSV** - Returns data in a comma-separated values format, ideal for spreadsheet applications and data analysis.
- **Excel** - Returns data in an Excel spreadsheet format, ready for use in Microsoft Excel or similar applications.

## Actor input object example

```json
{
  "format": "json"
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("profilehunt/product-hunt-upcoming-launches-fetcher").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("profilehunt/product-hunt-upcoming-launches-fetcher").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 '{}' |
apify call profilehunt/product-hunt-upcoming-launches-fetcher --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,profilehunt/product-hunt-upcoming-launches-fetcher"
        }
    }
}
```

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/MynDMRKPboQXgOJr4/builds/WxrUJ385rdWjbyNVQ/openapi.json