# Product Hunt Scraper — Daily Launches as JSON | $0.01/run (`devsef/product-hunt-daily-tracker`) Actor

Scrape the latest Product Hunt launches as clean, structured JSON in one run — product name, tagline, link and publish date, with optional keyword filtering. Perfect for launch tracking, market research, newsletters and AI agents. Just $0.01 per fetch.

- **URL**: https://apify.com/devsef/product-hunt-daily-tracker.md
- **Developed by:** [Steffano van Hoven](https://apify.com/devsef) (community)
- **Categories:** AI, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 launches fetcheds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Daily Launch Tracker

### What does Product Hunt Daily Launch Tracker do?

**Get the latest Product Hunt launches as clean, structured JSON — in one run.** This Actor fetches recent launches from [Product Hunt](https://www.producthunt.com)'s public feed and returns each product's name, tagline, link, and publish date. No Product Hunt account or API key needed.

It's built for **AI agents and automation workflows**: ask "what launched on Product Hunt today?" from Claude, ChatGPT, or any MCP-compatible agent, filter by keywords, and get machine-readable results you can pipe into research, newsletters, or monitoring. Running on Apify gives you API access, scheduling (e.g. a daily run), and integrations out of the box.

### Why use Product Hunt Daily Launch Tracker?

- **Market & competitor research** — see what's launching in your space, every day
- **AI-agent workflows** — structured JSON that agents can reason over, no HTML parsing
- **Newsletter & content pipelines** — feed fresh launches straight into your drafts
- **Trend monitoring** — schedule a daily run with a keyword filter (e.g. `ai agent`) and only get what matters

### How to use it

1. Click **Try for free** and open the input form
2. Optionally set **Max items** and **Keywords**
3. Click **Start** — results appear in the dataset within seconds
4. Download the results or fetch them via API

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `maxItems` | integer | 30 | Maximum number of launches to return (1–100) |
| `keywords` | string | — | Space-separated terms; keeps launches whose name or tagline matches **any** term (case-insensitive). Leave empty for no filter. |

```json
{
    "maxItems": 10,
    "keywords": "ai agent"
}
```

### Output

One dataset item per launch. Real example:

```json
{
    "name": "ChecklistFox",
    "tagline": "AI Checklist Maker - Beautiful PDFs, Free & Instant",
    "url": "https://www.producthunt.com/products/checklistfox",
    "publishedAt": "2026-07-03T20:40:09.000Z"
}
```

A `SUMMARY` record in the key-value store reports how many launches were fetched and how many remained after filtering. You can download the dataset in various formats such as JSON, CSV, or Excel.

| Field | Description |
|---|---|
| `name` | Product name |
| `tagline` | Short product description (HTML stripped) |
| `url` | Product Hunt page for the product |
| `publishedAt` | ISO timestamp of the launch entry |

### Pricing

You pay **one `launches-fetched` event per successful run that returns at least one launch**. Runs that return zero results (e.g. a keyword filter that matches nothing) are **free**. Failed runs are never charged.

### Limitations

- Covers **recent launches only** — the public feed reaches back days, not months
- No vote counts or comment data (not available in the feed)
- **No maker/author information by design** — this Actor deliberately returns product data only, no personal data
- Keyword matching is simple substring matching, not full-text search

### FAQ & support

**Is this legal?** The Actor reads Product Hunt's public, machine-readable syndication feed and stores no personal data.

**Found a bug or missing a feature?** Open an issue on the Issues tab — I aim to respond within a few days.

More tools: see my profile.

# Actor input Schema

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

Maximum number of launches to return (1-100).

## `keywords` (type: `string`):

Space-separated terms. Only launches whose name or tagline matches ANY term (case-insensitive) are kept. Leave empty for no filter.

## Actor input object example

```json
{
  "maxItems": 30,
  "keywords": "ai agent"
}
```

# 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 = {
    "keywords": "ai agent"
};

// Run the Actor and wait for it to finish
const run = await client.actor("devsef/product-hunt-daily-tracker").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 = { "keywords": "ai agent" }

# Run the Actor and wait for it to finish
run = client.actor("devsef/product-hunt-daily-tracker").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 '{
  "keywords": "ai agent"
}' |
apify call devsef/product-hunt-daily-tracker --silent --output-dataset

```

## MCP server setup

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

```

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/bpCVAtnWINLnsbeXi/builds/pAuAeAmYeP9OlrSkX/openapi.json