# Product Hunt Launches Scraper (`happitap/producthunt-launches-scraper`) Actor

Extract trending products, startups, and makers from Product Hunt. Playwright crawler with proxy rotation

- **URL**: https://apify.com/happitap/producthunt-launches-scraper.md
- **Developed by:** [HappiTap](https://apify.com/happitap) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

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/platform/actors/running/actors-in-store#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 Launches Scraper

An intelligent, Apify-ready Actor that seamlessly extracts daily and weekly product launches directly from Product Hunt. Built with Playwright and advanced anti-bot configuration to bypass Cloudflare protection.

### Features

- **Scrape Daily or Weekly Launches**: Specify the timeframe to scrape ('today', 'yesterday', or 'week').
- **Automated Anti-Bot Evasion**: Configured out of the box to run in a headed xvfb browser and utilize Apify Residential proxies to bypass strict 403 errors and Cloudflare captchas.
- **Auto-Abort Margin Protection**: Features a built-in 270s kill switch to ensure your scraper gracefully exits and pushes its dataset before encountering a hard timeout from Apify.

### Input Configuration

This actor requires a simple JSON input schema:

```json
{
    "timeframe": "today", // options: "today", "yesterday", "week"
    "maxItems": 50
}
```

*Note: Due to Product Hunt's aggressive anti-scraping measures, it is highly recommended to configure Apify Residential Proxies when running this Actor in production.*

### Output Structure

The scraper pushes the extracted launches to the Apify default dataset. An example extracted item looks like this:

```json
{
  "title": "Agentic AI Scraper - Automate your web data extraction",
  "productUrl": "https://www.producthunt.com/products/agentic-ai-scraper",
  "scrapedAt": "2026-07-06T12:00:00.000Z"
}
```

### How It Works

The Actor utilizes `PlaywrightCrawler` to emulate real user interaction on Product Hunt. It automatically scrolls to trigger lazy-loaded feeds, waits for React rendering, and extracts product titles and permalinks from the deeply nested DOM structure.

# Actor input Schema

## `timeframe` (type: `string`):

The timeframe of launches to extract (today, yesterday, week).

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

Maximum number of Product Hunt launches to extract.

## `proxyConfiguration` (type: `object`):

Select proxies to be used by the scraper.

## Actor input object example

```json
{
  "timeframe": "today",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "timeframe": "today",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("happitap/producthunt-launches-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 = {
    "timeframe": "today",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("happitap/producthunt-launches-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "timeframe": "today",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call happitap/producthunt-launches-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=happitap/producthunt-launches-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sIIFxtkji2ABE55a9/builds/iDQQRXesLat7PG3D2/openapi.json