# Product Hunt Scraper - Leaderboards & Products (`potato_44/product-hunt-scraper`) Actor

Scrape Product Hunt daily, weekly, monthly and yearly leaderboards back to 2013, plus product details: name, tagline, description, score, comments, website, topics, categories, ratings, reviews, followers and socials. Pay per result.

- **URL**: https://apify.com/potato_44/product-hunt-scraper.md
- **Developed by:** [Streamline Data](https://apify.com/potato_44) (community)
- **Categories:** Lead generation, Marketing, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 leaderboard launches

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 - Leaderboards & Products

Scrape **Product Hunt leaderboards** (daily, weekly, monthly and yearly, all the way back to 2013) and **product details**: name, tagline, description, score, comments, launch date, website, topics, categories, review rating, reviews, followers, launches and social links. Great for startup and trend research, competitor tracking, lead lists of new SaaS tools, and feeding AI agents.

### Why this scraper

- **Reliable** — other Product Hunt actors fail 19-40% of runs; this one is built to finish.
- **Any period, any date range** — e.g. every daily leaderboard of last month in one run.
- **Product enrichment** — optionally add website, description, rating, reviews, followers and socials to every launch.
- **Pay only for results** — failed or empty periods are free.

### Input

| Field | Description |
|---|---|
| `period` | `daily`, `weekly`, `monthly`, `yearly`, or `none` for products only |
| `startDate`, `endDate` | Date range (Pacific time, like Product Hunt). Empty = yesterday |
| `maxLaunchesPerPeriod` | Top N launches per period |
| `includeProductDetails` | Also fetch each launch's product page |
| `products` | Product URLs or slugs (e.g. `notion`) for product details |

### Output

Leaderboard launch:

```json
{"period": "2026-10-13", "periodType": "daily", "rank": 1, "name": "Articos MCP",
 "tagline": "See how simulated buyers react, right in your agent", "score": 327, "commentsCount": 102,
 "launchedAt": "2026-10-13T00:01:00-07:00", "productUrl": "https://www.producthunt.com/products/articos",
 "topics": ["Marketing", "Developer Tools", "Artificial Intelligence"]}
```

Product:

```json
{"type": "product", "name": "Notion", "tagline": "The all-in-one workspace", "websiteUrl": "https://www.notion.so",
 "reviewsRating": 4.83, "reviewsCount": 1410, "followersCount": 18766, "launchesCount": 25,
 "categories": ["Note and writing apps", "Project management software"], "social": {"twitter": "https://x.com/notion"}}
```

Some fields (e.g. description, website) are included on leaderboard rows when Product Hunt provides them; turn on product details for the full set.

### Pricing

Pay per event: one **launch** charge per leaderboard row, one **product** charge per product page.

# Actor input Schema

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

Which Product Hunt leaderboard to scrape. Leaderboards use Pacific time, as on Product Hunt.

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

First day/week/month/year to scrape (YYYY-MM-DD). Leave empty for yesterday.

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

Last day/week/month/year (inclusive). Leave empty to scrape only the start date's period.

## `maxLaunchesPerPeriod` (type: `integer`):

Top N launches per day/week/month/year.

## `includeProductDetails` (type: `boolean`):

Also fetch each launch's product page: website, description, rating, reviews, followers, categories and social links (charged as a product result).

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

Product Hunt product URLs or slugs, e.g. https://www.producthunt.com/products/notion or notion.

## Actor input object example

```json
{
  "period": "daily",
  "maxLaunchesPerPeriod": 50,
  "includeProductDetails": false
}
```

# Actor output Schema

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

Launches and products.

# 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("potato_44/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("potato_44/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 '{}' |
apify call potato_44/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,potato_44/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/kEv1ilwfvmQCLT2uo/builds/KyVvmbeel2l1BOGTK/openapi.json