# Product Hunt Scraper — Daily Launches, Makers & Websites (`maged120/product-hunt-scraper`) Actor

Scrape Product Hunt daily leaderboards: product name, tagline, votes, comments, rank, topics, website, description, pricing and makers.

- **URL**: https://apify.com/maged120/product-hunt-scraper.md
- **Developed by:** [Maged](https://apify.com/maged120) (community)
- **Categories:** Lead generation, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

**Track every Product Hunt launch and reach the people behind it.** Scrape daily leaderboards with **votes, comments, ranks, topics, product websites, descriptions, pricing and the makers' names and profiles**.

### What does Product Hunt Scraper do?

Product Hunt Scraper collects the daily launch leaderboards from [Product Hunt](https://www.producthunt.com) for any date or date range. For every featured product it returns the **daily, weekly and monthly rank, name, tagline, votes, comment count, topics, launch time, logo, Product Hunt page, the product's real website** and — with details on — the **full description, pricing model (free, freemium, paid), makers (name, username, headline, profile link) and the hunter**.

Running on Apify gives you scheduling, an API and integrations with Google Sheets, Airtable, HubSpot, Slack, Zapier and Make — perfect for a daily "new launches" feed.

### Why use Product Hunt Scraper?

- **Startup lead generation** — reach founders on launch day, when they are actively looking for tools, partners and investors.
- **Investor deal flow** — monitor top launches and rising products every day.
- **Competitive intelligence** — see who launches in your category and how the market responds.
- **Newsletters and communities** — publish daily or weekly roundups automatically.
- **Market research** — analyse topics, pricing models and vote patterns over time.

### How to scrape Product Hunt

1. Click **Try for free**.
2. Pick a **Start date** (and optionally an **End date**, up to 31 days).
3. Choose **Max products per day** and whether to include makers and details.
4. Click **Start** and download the launches as CSV, Excel or JSON.

### Input

| Field | Description |
|---|---|
| `startDate`, `endDate` | Launch days to scrape (default: yesterday). |
| `maxProductsPerDay` | Top N products per day (0 = all featured). |
| `minVotes` | Skip products below this vote count. |
| `includeDetails` | Adds description, pricing, makers and hunter. |

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

```json
{
    "launchDate": "2026-10-06",
    "dailyRank": 1,
    "weeklyRank": 2,
    "monthlyRank": 4,
    "name": "Rill Browser",
    "tagline": "The browser where Claude Code and Codex work beside you",
    "votes": 430,
    "comments": 66,
    "topics": ["Developer Tools", "Artificial Intelligence"],
    "website": "https://rill.love",
    "pricing": "free",
    "description": "Rill is an AI-native browser built around…",
    "makers": [
        { "name": "William", "username": "williamgaoharvard", "headline": "World Model Researcher",
          "profileUrl": "https://www.producthunt.com/@williamgaoharvard" }
    ],
    "makerNames": "William, Iris Tu",
    "hunter": "Zac Zuo",
    "postUrl": "https://www.producthunt.com/posts/rill-browser"
}
```

### Data fields

| Field | Meaning |
|---|---|
| `name`, `tagline`, `description`, `thumbnailUrl` | Product |
| `website`, `postUrl`, `productUrl` | Links (website is cleaned of tracking parameters) |
| `votes`, `comments`, `dailyRank`, `weeklyRank`, `monthlyRank` | Traction |
| `topics`, `pricing` | Category and business model |
| `makers`, `makerNames`, `hunter` | People behind the launch |
| `launchDate`, `featuredAt` | Timing |

Views: **Launches**, **Makers & details**, **Ranks**.

### How many results will I get?

Up to `maxProductsPerDay` rows for each day in your range — typically 30–50 featured products per day. A 7-day range with the default settings returns roughly 250–350 launches.

### Tips

- Schedule a daily run with no dates set to always get yesterday's launches.
- Use `minVotes` to focus on launches that gained real traction.
- Feed the `website` column into a contact or tech-stack enrichment tool for outreach.

### FAQ

**Are maker emails included?** Product Hunt doesn't publish emails; you get makers' names, usernames, headlines and profile links, plus the product website.

**Is it legal?** It collects publicly available launch pages. Use contact data in line with privacy and anti-spam laws.

**Need comments or reviews?** Open an issue in the **Issues** tab.

# Actor input Schema

## `startDate` (type: `string`):

First launch day to scrape. Leave empty for yesterday.

## `endDate` (type: `string`):

Last launch day to scrape (up to 31 days per run). Leave empty to scrape only the start date.

## `maxProductsPerDay` (type: `integer`):

Top N products of each day by rank. 0 = all featured products.

## `minVotes` (type: `integer`):

Skip products with fewer votes.

## `includeDetails` (type: `boolean`):

Adds the full description, pricing model, makers (names, usernames, headlines) and hunter.

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

The default works well. Switch to residential proxies if pages fail.

## Actor input object example

```json
{
  "maxProductsPerDay": 50,
  "minVotes": 0,
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "maxProductsPerDay": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("maged120/product-hunt-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 = {
    "maxProductsPerDay": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("maged120/product-hunt-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 '{
  "maxProductsPerDay": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call maged120/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maged120/product-hunt-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/rW4Ce3kwkKZ6w5VjD/builds/bcjMzdLDJQ5M19q1F/openapi.json