# Product Hunt Leaderboard Scraper + Websites (`resolver/producthunt-leaderboard-scraper`) Actor

Scrape Product Hunt daily, weekly and monthly leaderboards: name, tagline, votes, ranks, topics, launch date and the product's real website URL. Fast, no login, no browser.

- **URL**: https://apify.com/resolver/producthunt-leaderboard-scraper.md
- **Developed by:** [Resolver Data](https://apify.com/resolver) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 products

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 Leaderboard Scraper

Get every product from Product Hunt's **daily, weekly or monthly leaderboard** in one clean table, including the product's **real website URL** (tracking parameters removed). No login, no browser, no cookies.

### What you get

| Field | Example |
|---|---|
| name | Articos MCP |
| tagline | See how simulated buyers react, right in your agent |
| votes | 329 |
| dailyRank / weeklyRank / monthlyRank | 1 / 1 / 18 |
| topics | Marketing, Developer Tools, Artificial Intelligence |
| website | https://articos.com |
| postUrl / productUrl | Product Hunt links |
| featuredAt | 2026-10-13T00:01:00-07:00 |
| leaderboardDate | 2026-10-13 |

### Use cases

- **Lead lists:** new startups launching this week, with their websites.
- **Market research:** what's trending in AI, dev tools, marketing.
- **Investors & newsletters:** daily or weekly top launches, automatically.
- **Competitor tracking:** watch your category's launches.

### How to use

1. Pick **Daily**, **Weekly** or **Monthly**.
2. Optionally set a date range, a minimum vote count, or a topic.
3. Run. Export to CSV, Excel, JSON or Google Sheets, or schedule it to run every day.

Leave the dates empty to get yesterday's leaderboard. Monthly collects every daily leaderboard in that month (de-duplicated).

### Pricing

Pay per result: **$2 per 1,000 products**. No monthly fee.

### Reliability

Built to pass Product Hunt's bot protection with a real-browser network fingerprint, automatic retries, and skipping (not failing) on a bad day so you still get the rest of your data.

### Notes

Collects only public information shown on Product Hunt's leaderboards. Use the data in line with Product Hunt's terms and applicable laws.

# Actor input Schema

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

Which leaderboard to scrape. Monthly collects every daily leaderboard in the month.

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

First day to scrape (YYYY-MM-DD). Leave empty for yesterday (daily/weekly) or the start of the month (monthly).

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

Last day to scrape (YYYY-MM-DD). Leave empty for yesterday.

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

Only return products with at least this many votes.

## `topic` (type: `string`):

Only return products tagged with this topic, e.g. 'Artificial Intelligence' or 'Developer Tools'.

## `includeWebsite` (type: `boolean`):

Resolve each product's real website (great for lead lists). Adds one quick request per product.

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

Stop after this many products.

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

Route requests through Apify residential proxy. Needed on the Apify platform because Product Hunt blocks datacenter IPs.

## Actor input object example

```json
{
  "period": "daily",
  "minVotes": 0,
  "includeWebsite": true,
  "maxItems": 500,
  "useProxy": 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("resolver/producthunt-leaderboard-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("resolver/producthunt-leaderboard-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 resolver/producthunt-leaderboard-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,resolver/producthunt-leaderboard-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/tkcrekun0z5xyyAii/builds/4YyiK98Jdht7V3ilt/openapi.json