# Product Hunt Scraper - Launches, Votes & Categories (`fabrikit/producthunt-scraper`) Actor

Scrape Product Hunt launches from daily, weekly and monthly leaderboards, categories or product pages: name, tagline, description, website, topics, votes, comments, ranks, rating and reviews. From US$1.00 per 1,000 products.

- **URL**: https://apify.com/fabrikit/producthunt-scraper.md
- **Developed by:** [Fabrikit](https://apify.com/fabrikit) (community)
- **Categories:** Lead generation, AI, Other
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 54.5% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 product scrapeds

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?

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

## Product Hunt Scraper

Collect Product Hunt launches and products as JSON, CSV or Excel: name, tagline, description, website, topics and categories, votes, comments, daily / weekly / monthly rank, rating, review count, followers and the product's social links.

It reads the public website, so it needs no API token and no login. Makers, hunters and commenters are individual people and are never collected: the data is about products and companies only.

### Three ways to use it

| Mode | What it returns |
|---|---|
| `leaderboard` | The launches of a daily, weekly or monthly leaderboard (the first 15-17 of each page), walking back day by day / week by week / month by month from a date you choose |
| `category` | Every product of a Product Hunt category such as `ai-agents` (15 per page, fully paginated) with rating and review counts |
| `products` | The pages of the products you name (`figma`, `notion`, product URLs) |

### Input examples

The last 30 days of daily launches with at least 100 votes:

```json
{ "mode": "leaderboard", "period": "daily", "dateFrom": "2026-09-13", "dateTo": "2026-10-12", "minVotes": 100, "maxItems": 500 }
```

All products in a category:

```json
{ "mode": "category", "categories": ["ai-agents"], "maxItems": 300 }
```

Specific products, fast and light:

```json
{ "mode": "products", "products": ["figma", "https://www.producthunt.com/products/notion"] }
```

### Output example

```json
{
  "id": "1336540",
  "name": "MentionBird",
  "tagline": "Ahrefs for AI Search",
  "url": "https://www.producthunt.com/products/mentionbird",
  "website": "https://www.mentionbird.ai",
  "topics": ["Marketing", "SEO", "Artificial Intelligence"],
  "categories": ["SEO tools", "GEO Tools"],
  "votes": 131,
  "commentsCount": 16,
  "dailyRank": 6,
  "weeklyRank": 12,
  "rating": 5,
  "reviewsCount": 5,
  "followersCount": 181,
  "launchDate": "2026-10-13T00:01:00-07:00",
  "leaderboard": "daily:2026-10-13"
}
```

### Pricing (pay per event)

| Event | Price |
|---|---|
| `product-result` - one product / launch saved | **US$1.00 per 1,000** |

Plus a tiny run-start fee. Set a maximum cost per run in the Apify console and the Actor stops cleanly at that limit.

### FAQ

**Why only 15-17 launches per leaderboard page?** That is what Product Hunt renders on the page itself; the rest loads in the browser through a private API that this Actor does not use. To cover more, scrape a range of days, or use categories, which paginate completely.

**Does it include makers?** No. People are left out on purpose.

**What if Product Hunt slows me down?** The Actor paces its requests, retries, skips a product page it cannot open (the launch data is still saved) and switches to residential proxies by itself if it is blocked.

**Is the `votes` number live?** It is the vote count at the moment of the run.

### Use cases

Launch tracking and trend analysis, competitor and category monitoring, lead lists of new SaaS and AI products with their websites, content and newsletter research.

### En espanol

Extrae lanzamientos y productos de Product Hunt: nombre, eslogan, descripcion, sitio web, temas, votos, comentarios, ranking diario/semanal/mensual, calificacion, resenas y redes del producto. Modos: leaderboards por fecha, categorias y productos concretos. Sin token ni login. No se recopilan datos de personas (makers). Desde US$1 por 1.000 productos.

# Actor input Schema

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

`leaderboard` = launches of daily / weekly / monthly leaderboards. `category` = products of Product Hunt categories (15 per page, paginated). `products` = specific product pages.

## `period` (type: `string`):

Mode `leaderboard`: one page per day, ISO week or month. Each page lists its first 15-17 launches.

## `dateTo` (type: `string`):

Mode `leaderboard`: start at this day and walk backwards. Empty = today.

## `dateFrom` (type: `string`):

Mode `leaderboard`: stop at this day. Empty = keep walking back until Max products is reached.

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

Mode `category`: slugs from producthunt.com/categories/<slug> (e.g. `ai-agents`, `project-management`, `llms`) or full URLs.

## `products` (type: `array`):

Mode `products`: slugs from producthunt.com/products/<slug> (e.g. `figma`, `notion`) or full URLs.

## `topics` (type: `array`):

Keep only products tagged with at least one of these topic or category names (e.g. `Artificial Intelligence`, `Developer Tools`).

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

Keep only launches with at least this many upvotes.

## `fetchProductPage` (type: `boolean`):

Open each product's page (1 extra request) to add the description, website, followers, rating, reviews, categories and social links. Turn off for the fastest, lightest run.

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

Stop after this many products.

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

Apify datacenter proxy by default; the Actor switches to residential proxies by itself if Cloudflare blocks it.

## Actor input object example

```json
{
  "mode": "leaderboard",
  "period": "daily",
  "categories": [],
  "products": [],
  "topics": [],
  "fetchProductPage": true,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

All records collected during the run

# 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 = {
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("fabrikit/producthunt-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 = { "maxItems": 50 }

# Run the Actor and wait for it to finish
run = client.actor("fabrikit/producthunt-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 '{
  "maxItems": 50
}' |
apify call fabrikit/producthunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fabrikit/producthunt-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/7ReNw8vygAqNDI3Fy/builds/XYIHBvgybmy7nM3F3/openapi.json