# Product Hunt Upcoming & Pre-Launch Pipeline Scraper (`litezero/producthunt-upcoming-prelaunch-scraper`) Actor

Extract unreleased upcoming products from Product Hunt Coming Soon pipeline with subscriber counts, maker profiles, and launch timing.

- **URL**: https://apify.com/litezero/producthunt-upcoming-prelaunch-scraper.md
- **Developed by:** [LiteZero](https://apify.com/litezero) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 1,000 item scrapeds

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?

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

## 🏛️ Product Hunt Upcoming & Pre-Launch Pipeline Scraper

[![Apify](https://img.shields.io/badge/Apify-Actor-orange.svg)](https://apify.com/)
[![Status](https://img.shields.io/badge/Status-Production-brightgreen.svg)]()
[![Pricing](https://img.shields.io/badge/PPR-$3.00/1k-blue.svg)]()

> Extract unreleased upcoming products from Product Hunt Coming Soon pipeline with subscriber counts, maker profiles, and launch timing.

***

### 🥊 Why This Actor Beats the Competition

| Feature | Tillzero Actor | Standard Web Scrapers / Legacy Bots |
|:---|:---|:---|
| **Speed & Throughput** | ⚡ **Direct API & high-throughput streams** (sub-5s runs) | 🐢 Heavy browser Puppeteer overhead (45s+ per query) |
| **Pricing Transparency** | 💰 **Pay-Per-Result ($3.00 / 1k items)** | 💸 Expensive $49–$99/month subscriptions or compute lock-in |
| **Data Quality & Schemas** | 🛡️ **Strictly typed, validated ISO 8601 JSON** | ❌ Raw messy HTML dumps with missing columns |
| **Bot Protection & Proxies** | 🌐 **Built-in smart rotation and residential resilience** | 🚫 Frequent Cloudflare/Akamai 403 blocking |

***

### 🛠️ Step-by-Step: How to Use

#### Method 1: Apify Web Console

1. Navigate to the Actor page in the Apify Store.
2. Configure your search parameters in the intuitive Web UI.
3. Click **Start** to run the scraper and export results to CSV, Excel, or JSON.

#### Method 2: Python SDK

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/producthunt-upcoming-prelaunch-scraper").call(run_input={"category": "all", "maxResults": 5})

dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")
```

#### Method 3: Node.js SDK

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/producthunt-upcoming-prelaunch-scraper').call({"category": "all", "maxResults": 5});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);
```

#### Method 4: REST API / cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/litezero~producthunt-upcoming-prelaunch-scraper/runs?token=YOUR_APIFY_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"category": "all", "maxResults": 5}'
```

***

### 📥 Input Parameters

| Field | Type | Description | Default |
|:---|:---|:---|:---|
| `category` | String | Filter by category: 'all', 'tech', 'ai', 'productivity', 'marketing'. | `all` |
| `minSubscribers` | Integer | Filter products having at least this number of interested subscribers. | `5` |
| `maxResults` | Integer | Maximum upcoming products to return. | `100` |

***

### 📤 Output Data Dictionary & Sample JSON

```json
{
  "productName": "PromptForge Studio",
  "tagline": "Collaborative prompt regression testing for production AI agents",
  "description": "Automated regression testing and latency benchmarking for LLM prompt engineers.",
  "subscriberCount": 384,
  "anticipatedLaunch": "November 2026",
  "makerName": "Alex Rivera",
  "makerTwitter": "https://x.com/arivera_dev",
  "makerWebsite": "https://promptforge.ai",
  "teaserUrl": "https://www.producthunt.com/products/promptforge-studio",
  "category": "ai"
}
```

***

### 💡 Top Commercial Use Cases

1. **Automated Market Intelligence:** Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
2. **Quantitative Research:** Feed machine learning models, predictive alphas, and algorithmic trading desks.
3. **B2B Growth & Lead Gen:** Poach competitors' unhappy users or discover newly funded high-growth targets.

# Actor input Schema

## `category` (type: `string`):

Filter by category: 'all', 'tech', 'ai', 'productivity', 'marketing'.

## `minSubscribers` (type: `integer`):

Filter products having at least this number of interested subscribers.

## `maxResults` (type: `integer`):

Maximum upcoming products to return.

## Actor input object example

```json
{
  "category": "all",
  "minSubscribers": 5,
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("litezero/producthunt-upcoming-prelaunch-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("litezero/producthunt-upcoming-prelaunch-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 '{}' |
apify call litezero/producthunt-upcoming-prelaunch-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,litezero/producthunt-upcoming-prelaunch-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/zy7Fih8Q3nJQYb56h/builds/HNtFDUzCLUyPzgusq/openapi.json