# Product Hunt Launch Feed — $0.20/1K (`scrapesignal_labs/product-hunt-launch-feed`) Actor

Export fresh Product Hunt launches, taglines, makers, links, and timestamps from Product Hunt's public Atom feed.

- **URL**: https://apify.com/scrapesignal\_labs/product-hunt-launch-feed.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Social media, Marketing, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 product 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?

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 Launch Feed — $0.20 per 1,000 launches

Export fresh Product Hunt launches into structured data for product discovery, market maps, launch tracking, newsletters, sales research, and AI-agent workflows. The Actor reads Product Hunt's public Atom feed, so it is fast and inexpensive and does not depend on browser automation.

### What you get

- Product name and tagline
- Stable Product Hunt post ID
- Product, discussion, and outbound redirect links when exposed
- Maker name and publication/update timestamps
- Feed categories, merged when the same launch appears in several selections
- Keyword and date filters plus a hard per-category output ceiling

### Example input

```json
{
  "categories": ["ai", "developer-tools", "productivity"],
  "maxProductsPerCategory": 25,
  "keywords": ["agent", "automation"],
  "publishedSince": "2026-08-01T00:00:00Z"
}
```

### Pricing

The introductory price is **$0.0002 per unique delivered launch** ($0.20 per 1,000), plus a **$0.00005 start event**. Apify platform usage is included. Failed feed requests produce no launch charge.

### Honest scope

This Actor returns fields present in Product Hunt's public launch feed. It does **not** claim to return live votes, comments, rankings, private API fields, or full product websites. Product Hunt controls feed availability and retention. Use exported data in accordance with Product Hunt's terms and applicable rights.

# Actor input Schema

## `categories` (type: `array`):

Product Hunt feed category slugs, such as ai, productivity, developer-tools, or marketing. Use an empty value for the general feed.

## `maxProductsPerCategory` (type: `integer`):

A hard output and price ceiling for each selected feed.

## `keywords` (type: `array`):

Optional case-insensitive terms. A name or tagline must match at least one.

## `publishedSince` (type: `string`):

Optional ISO date/time. Older launches with a known date are excluded.

## `timeoutSeconds` (type: `integer`):

Stop waiting for an individual Product Hunt feed after this many seconds.

## Actor input object example

```json
{
  "categories": [
    "ai"
  ],
  "maxProductsPerCategory": 25,
  "keywords": [],
  "publishedSince": "",
  "timeoutSeconds": 20
}
```

# Actor output Schema

## `dataset` (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("scrapesignal_labs/product-hunt-launch-feed").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("scrapesignal_labs/product-hunt-launch-feed").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 scrapesignal_labs/product-hunt-launch-feed --silent --output-dataset

```

## MCP server setup

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

```

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/EBw1bk1ZXTMWPWHDc/builds/Z5n3r0ufXfVkyiHLJ/openapi.json