# Product Hunt Current Launches — Official Feed API (`quartz_apple_dnx/product-hunt-current-launches-feed-api`) Actor

Convert Product Hunt's official current-launch Atom feed into clean ranked JSON rows for automation, monitoring, startup discovery, and spreadsheets. No login, browser, proxy, or API key.

- **URL**: https://apify.com/quartz_apple_dnx/product-hunt-current-launches-feed-api.md
- **Developed by:** [Piven Core](https://apify.com/quartz_apple_dnx) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 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.

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 Current Launches — Official Feed API

Convert Product Hunt's official public Atom feed into clean, ranked JSON rows for current-launch discovery.

Use it for **startup discovery, product monitoring, market research, launch tracking, competitive research, and lightweight automated product-intelligence workflows** without login or browser automation.

### Common use cases

- Collect the products currently appearing in Product Hunt's public feed
- Monitor new product launches for market research
- Feed current launch records into a dataset or dashboard
- Track product names, links, summaries, and publication times
- Use current launches as inputs to downstream research workflows

### What you get

Each row includes feed rank/order, launch title, stable entry ID, Product Hunt URL, author when present, published/updated timestamps, cleaned summary text, source URL, and capture timestamp.

### Try it

```json
{"maxItems":25}
```

### Source

Product Hunt's own Help Center links the main RSS/Atom feed. This Actor reads only that public feed—no login, browser automation, proxy, cookies, private API, or Product Hunt API token.

### Pricing

Private factory target: **$0.25 per 1,000 saved launch rows**, only if measured cloud economics clear the existing 3× gate and exact PAY_PER_EVENT pricing is accepted.

### Important limitations

This is intentionally a small **current-launch discovery Actor**. It is not a historical leaderboard scraper, maker/email enrichment crawler, vote estimator, revenue tracker, or guarantee of Product Hunt ranking/popularity.

### About Piven Core

Built and maintained by **Piven Core** — focused data APIs and automation utilities for reliable, production-ready workflows.

Learn more: https://pivencore.com

# Actor input Schema

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

Maximum number of current feed entries to save, in feed order.

## Actor input object example

```json
{
  "maxItems": 25
}
```

# Actor output Schema

## `launches` (type: `string`):

No description

## `summary` (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 = {
    "maxItems": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_apple_dnx/product-hunt-current-launches-feed-api").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 = { "maxItems": 25 }

# Run the Actor and wait for it to finish
run = client.actor("quartz_apple_dnx/product-hunt-current-launches-feed-api").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 '{
  "maxItems": 25
}' |
apify call quartz_apple_dnx/product-hunt-current-launches-feed-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quartz_apple_dnx/product-hunt-current-launches-feed-api"
        }
    }
}
```

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/JMhbLCOv8v6AfNEZv/builds/0mZoznee0pYftHBdY/openapi.json