# Product Hunt Scraper: Daily, Weekly & Monthly Top Launches (`informed_almandine_vzb/producthunt-leaderboard`) Actor

See what's winning on Product Hunt today, this week, or this month: rank, upvotes, comments, topics, and links for each launch. One daily-leaderboard test run returned 85 ranked launches.

- **URL**: https://apify.com/informed_almandine_vzb/producthunt-leaderboard.md
- **Developed by:** [Almandine Data](https://apify.com/informed_almandine_vzb) (community)
- **Categories:** Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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: Daily, Weekly & Monthly Launches

Scrape Product Hunt daily, weekly, monthly, or yearly leaderboards across any date range: rank, product name, tagline, votes, comments, topics, Product Hunt URL, and **direct external company website URL**. Export as **JSON, CSV, Excel, or API** — with **no API token or login required**.

### What it does

Give a leaderboard period (`daily`, `weekly`, `monthly`, `yearly`) and either `daysBack` (default `5` days = ~85 products) or a `startDate`/`endDate` range. Optionally enable `includeProductDetails: true` to visit each product page for full descriptions, maker names/handles, ratings, and gallery media, or `onlyNew: true` for deduplicated scheduled feeds.

### Use cases

- **VC Deal Sourcing & Startup Scouting:** Track top-ranked AI, SaaS, and developer tool launches every day with direct external `websiteUrl` links for CRM enrichment.
- **B2B Founder & Launch Outreach:** Identify newly launched products by topic (`Artificial Intelligence`, `Developer Tools`, `Productivity`) and traction (`votesCount`, `commentsCount`).
- **Automated Tech Newsletters & Slack Digests:** Run daily or weekly with `onlyNew: true` to push new Product Hunt winners into Slack, Discord, Notion, or Airtable via n8n/Make/Zapier.
- **Historical Launch Benchmarking:** Backfill months of daily or monthly leaderboards using `startDate` and `endDate` to analyze launch vote curves and category trends.

### Why use this scraper?

| Feature | This Actor | Typical Product Hunt Scrapers |
|---|---|---|
| **Architecture** | Direct HTTP (`curl_cffi`) + RSC payload parser | Heavy headless browser automation |
| **External website resolution** | Follows `/r/` redirect to capture clean `websiteUrl` (UTM-stripped) | Only returns internal `producthunt.com` links |
| **Deduplication** | Built-in `onlyNew` state store skips already-seen launches at `$0.00` | Re-bills overlapping launches |
| **Pricing model** | **Pay-per-result (`$2.00 / 1,000 products`, `$0.00` start fee)** | $15–$30/month fixed subscription |

### Input parameters

- **Leaderboard period** (`period`, `string`): `daily`, `weekly`, `monthly`, or `yearly` (default `daily`).
- **Featured only** (`featuredOnly`, `boolean`): Featured leaderboard (`true`, default) or `/all` launches (`false`).
- **Start date / End date** (`startDate`, `endDate`, `string`): Optional `YYYY-MM-DD` date range.
- **Days back** (`daysBack`, `integer`): Used when `startDate` is omitted (default `5` = last 5 daily leaderboards, ~85 products).
- **Include product page details** (`includeProductDetails`, `boolean`): Also fetch full description, makers, rating,reviews count, and media (`$4.00 / 1,000` tier).
- **Only new products** (`onlyNew`, `boolean`): Skip products already emitted in earlier runs.
- **Max products** (`maxItems`, `integer`): Stop after this many products (default `500`).

#### Example input

```json
{
  "period": "daily",
  "daysBack": 5,
  "featuredOnly": true,
  "includeProductDetails": false,
  "onlyNew": false
}
```

### Output & example output

One dataset row per product launch. Default table view columns: `rank`, `name`, `tagline`, `votesCount`, `commentsCount`, `websiteUrl`, `url`, `topics`, `leaderboardDate`, `featured`.

#### Example output item

```json
{
  "period": "daily",
  "periodLabel": "2026-10-19",
  "rank": 1,
  "dailyRank": 1,
  "weeklyRank": 3,
  "monthlyRank": 12,
  "postId": "1284611",
  "name": "Beam.win",
  "tagline": "Run AI agents on one Mac and use its windows on another",
  "postUrl": "https://www.producthunt.com/posts/beam-win",
  "productSlug": "beam-win",
  "productUrl": "https://www.producthunt.com/products/beam-win",
  "upvotes": 378,
  "launchDayUpvotes": 353,
  "comments": 51,
  "topics": [
    "Productivity",
    "Developer Tools",
    "Artificial Intelligence"
  ],
  "featuredAt": "2026-10-19T00:01:00-07:00",
  "createdAt": "2026-10-19T00:01:00-07:00",
  "thumbnailUrl": "https://ph-files.imgix.net/e51a9115-1d41-403e-b7e8-4bb858e29f24.png",
  "scrapedAt": "2026-10-25T04:26:43+00:00"
}
```

### Pricing (Pay-Per-Result)

This Actor uses transparent **Pay-Per-Event** pricing with a **`$0.00` actor-start fee**:

| Event | What is charged | Price |
|---|---|---|
| `product-result` | Leaderboard product (rank, votes, comments, topics, `websiteUrl`) | **$0.002 / product** (**$2.00 / 1,000 results**) |
| `product-detail` | Product with full page details (`includeProductDetails: true`) | **$0.004 / product** (**$4.00 / 1,000 results**) |
| `apify-actor-start` | Actor start fee | **$0.00** |

#### Concrete pricing math

- **`product-result`:** `1,000 results = $2.00` (`50 results = $0.10`, `85 results = $0.17`, `10,000 results = $20.00`). Apify's **$5.00/month Free Tier** covers up to **2,500 products/month** at **$0.00**.
- **`product-detail`:** `1,000 results = $4.00` (`50 results = $0.20`).
- **Empty runs (`0` results) & deduplicated skips (`onlyNew: true`):** **$0.00**.

### Data and compliance

Extracts publicly visible Product Hunt leaderboard and product launch data. Per-period errors are stored in the run's `ERRORS` key-value record and are never charged.

### FAQ

**Do I need a Product Hunt API key or login?**\
No. This Actor reads public Product Hunt leaderboard pages directly with zero credentials.

**What happens if I run the Actor with empty `{}` input via API or CLI?**\
Default settings (`period: "daily"`, `daysBack: 5`) are configured in `.actor/input_schema.json` and the runner, so an empty `{}` run immediately returns **~85 recent Product Hunt launches**.

# Actor input Schema

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

Which Product Hunt leaderboard to read.

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

Optional. Leave empty to use daysBack.

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

Optional. Defaults to startDate.

## `daysBack` (type: `integer`):

Used when no start date: 5 = last 5 daily leaderboards (~75-100 launches).

## `maxRankPerPeriod` (type: `integer`):

0 = all featured launches.

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

Minimum upvotes

## `topicFilter` (type: `array`):

e.g. Developer Tools, Artificial Intelligence

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

Fetches each product page (slower, billed as product-detail).

## `onlyNew` (type: `boolean`):

Only new since last run

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

Product Hunt blocks datacenter IPs without a proxy. Apify Proxy is used by default.

## Actor input object example

```json
{
  "period": "daily",
  "daysBack": 5,
  "maxRankPerPeriod": 0,
  "minUpvotes": 0,
  "includeProductDetails": false,
  "onlyNew": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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 = {
    "daysBack": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("informed_almandine_vzb/producthunt-leaderboard").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 = {
    "daysBack": 5,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("informed_almandine_vzb/producthunt-leaderboard").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 '{
  "daysBack": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call informed_almandine_vzb/producthunt-leaderboard --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,informed_almandine_vzb/producthunt-leaderboard"
        }
    }
}
```

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/X8XiqkQGoWbOC7Kih/builds/Ols6ZYkmTqm0nxZOV/openapi.json