# Product Hunt Daily Launch Scraper (`happitap/product-hunt-daily-launch-scraper`) Actor

Scrape daily launched products from Product Hunt with clean, normalized output for marketing, lead generation, competitor tracking, and startup discovery.

- **URL**: https://apify.com/happitap/product-hunt-daily-launch-scraper.md
- **Developed by:** [HappiTap](https://apify.com/happitap) (community)
- **Categories:** Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Scraper

This actor scrapes daily launched products from Product Hunt with clean, normalized output perfect for marketing, lead generation, competitor tracking, and startup discovery.

### Key Features

- **Daily Launch Scraping**: Get today's, yesterday's, or any custom date's Product Hunt launches
- **Smart Filtering**: Filter by categories, keywords, minimum upvotes, and more
- **Deduplication**: Automatic duplicate detection and incremental monitoring
- **Maker Information**: Optional extraction of maker profiles and social links
- **Webhook Integration**: Real-time notifications for new launches
- **Clean Output**: Normalized, structured data ready for analysis

### Input Schema

The actor accepts the following input parameters:

- `mode`: "today" (default), "yesterday", or "date"
- `date`: ISO date when mode="date"
- `categories`: Array of categories to filter by
- `excludeKeywords`: Array of keywords to exclude
- `minUpvotes`: Minimum upvotes threshold (default: 0)
- `maxProducts`: Maximum products to scrape (default: 100)
- `maxPages`: Maximum pages to fetch (default: 5)
- `outputMode`: "products" or "products\_with\_makers" (default: "products")
- `notifyOnlyNew`: Only webhook new products (default: true)
- `webhookUrl`: URL for webhook notifications
- `webhookSecret`: Secret for webhook authentication
- `useProxy`: Use Apify proxy (default: false)
- `maxConcurrency`: Concurrent requests (default: 5)
- `requestRetries`: Retry failed requests (default: 3)
- `timeoutSecs`: Request timeout in seconds (default: 30)

### Output Schema

Each product record includes:

- `source`: "product\_hunt"
- `productId`: Unique Product Hunt identifier
- `name`: Product name
- `tagline`: Product tagline
- `productUrl`: Product Hunt URL
- `websiteUrl`: External website URL
- `launchDate`: ISO date of launch
- `upvotes`: Number of upvotes
- `commentsCount`: Number of comments
- `rank`: Position in daily ranking
- `scrapedAt`: Timestamp when scraped
- `hash`: MD5 hash for deduplication
- `description`: Full product description
- `categories`: Product categories array
- `topics`: Product topics array
- `thumbnailUrl`: Product thumbnail image
- `isAI`: Boolean flag for AI products
- `pricingType`: "free", "freemium", "paid", or "unknown"
- `makers`: Array of maker objects
- `raw`: Raw response data

### Usage Examples

#### Today's launches

```json
{
  "mode": "today",
  "maxProducts": 50
}
```

#### AI launches with traction

```json
{
  "mode": "today",
  "categories": ["AI"],
  "minUpvotes": 50
}
```

#### Daily monitor with webhook

```json
{
  "mode": "today",
  "notifyOnlyNew": true,
  "webhookUrl": "https://yourapp.com/ph-hook"
}
```

# Actor input Schema

## `mode` (type: `string`):

Select which day's launches to scrape

## `date` (type: `string`):

ISO date (YYYY-MM-DD) - required when mode is 'date'

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

Filter by specific categories (e.g., AI, SaaS, Developer Tools)

## `excludeKeywords` (type: `array`):

Exclude products containing these keywords in name/tagline/description

## `minUpvotes` (type: `integer`):

Only include products with at least this many upvotes

## `maxProducts` (type: `integer`):

Maximum number of products to scrape

## `maxPages` (type: `integer`):

Maximum number of pages to fetch

## `outputMode` (type: `string`):

What data to include in output

## `notifyOnlyNew` (type: `boolean`):

Only send webhook notifications for new products (not previously scraped)

## `webhookUrl` (type: `string`):

URL to send webhook notifications to

## `webhookSecret` (type: `string`):

Secret for webhook authentication (optional)

## `useProxy` (type: `boolean`):

Use Apify proxy for requests

## `maxConcurrency` (type: `integer`):

Maximum concurrent requests

## `requestRetries` (type: `integer`):

Number of times to retry failed requests

## `timeoutSecs` (type: `integer`):

Request timeout in seconds

## Actor input object example

```json
{
  "mode": "today",
  "minUpvotes": 0,
  "maxProducts": 100,
  "maxPages": 5,
  "outputMode": "products",
  "notifyOnlyNew": true,
  "useProxy": false,
  "maxConcurrency": 5,
  "requestRetries": 3,
  "timeoutSecs": 30
}
```

# 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("happitap/product-hunt-daily-launch-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("happitap/product-hunt-daily-launch-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 happitap/product-hunt-daily-launch-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,happitap/product-hunt-daily-launch-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/aqp3rUmPtj4BQNIsu/builds/9O4hjVzkX6v3bEeaE/openapi.json