# Product Hunt Product Scraper (`moving_beacon-owner1/product-hunt-product-scraper`) Actor

Scrape product info from Product Hunt, like names, taglines, rankings, upvotes, comments, ratings, topics, categories, thumbnails, and URLs. You can search by keyword or gather latest launches. Optional details include descriptions, websites, follower counts, makers, and launch dates.

- **URL**: https://apify.com/moving\_beacon-owner1/product-hunt-product-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 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.

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 Product Scraper

Collects products and daily launches from Product Hunt and returns one flat record per product — name, tagline, launch-day rank, upvotes and comments, review rating and review count, topics and categories, thumbnail and the Product Hunt page URL. Search by keyword, list a topic, or leave both empty to walk the daily launch board newest-first. Turn on details to also pull each product's full description, official website, follower count, makers and launch date.

### Input

| Field | Default | Description |
| --- | --- | --- |
| `search` | *(empty)* | Product keyword to search for, e.g. `ai note taking`, `design tool`, `crm`. Empty = collect the daily launches instead. |
| `topic` | *(empty)* | Collect the products listed under one topic, e.g. `artificial-intelligence`, `developer-tools`, `productivity`. Used only when no search keyword is given. |
| `limit` | `30` | Maximum products to return (1–500). |
| `include_details` | `false` | Also visit each product's page to add the description, official website, follower count, makers, launch date and topics. Slower. |
| `proxyConfiguration` | Optional | Enable a US-based proxy for the most reliable results. |

### Output

Each result is one product. `rank`, `votes_count`, `comments_count` and `featured_on` are filled for daily launches; `reviews_rating` and `reviews_count` for search and topic results; the remaining detail fields appear when `include_details` is on:

```json
{
    "product_id": "435808",
    "name": "Vercel",
    "tagline": "The frontend cloud. Creators of Next.js.",
    "slug": "vercel",
    "product_url": "https://www.producthunt.com/products/vercel",
    "rank": 2,
    "votes_count": 235,
    "comments_count": 14,
    "reviews_rating": 4.97,
    "reviews_count": 1008,
    "followers_count": 16500,
    "topics": ["Developer Tools", "Open Source"],
    "categories": ["Engineering & Development"],
    "description": "Vercel provides the developer tools and cloud infrastructure to build, scale, and secure a faster, more personalized web.",
    "website_url": "https://vercel.com",
    "thumbnail_url": "https://ph-files.imgix.net/593ff5e2-9d11-491c-ab63-9e929e894214.jpeg?auto=format",
    "launch_date": "2022-04-14",
    "featured_on": "2026-08-22",
    "makers": ["Richard Oliver Bray", "Chris Tate", "Anshuman Bhardwaj"],
    "posts_count": 30,
    "source": "leaderboard",
    "raw": { ... }
}
```

### Notes

- Runs with empty input (returns the most recent daily launches, newest day first).
- Upvote counts for the current day are hidden by Product Hunt for the first few hours of that day and come back as `null`; earlier days carry full ranks and counts.
- Enable a US-based proxy for the most reliable results.
- Intended for research and personal use; please respect Product Hunt's terms of service.

# Actor input Schema

## `search` (type: `string`):

Product keyword to search for, e.g. 'ai note taking', 'design tool', 'crm'. Leave empty to collect the daily launches instead.

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

Collect the products listed under one Product Hunt topic, e.g. 'artificial-intelligence', 'developer-tools', 'productivity'. Used only when no search keyword is given.

## `limit` (type: `integer`):

Maximum number of products to return. Daily launches are collected day by day, newest first, until this many are found.

## `include_details` (type: `boolean`):

When enabled, each product's own page is also fetched and the record is enriched with the full description, official website, follower count, makers, launch date and topic list. Slower — one extra request per product.

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

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "search": "ai note taking",
  "topic": "",
  "limit": 30,
  "include_details": false,
  "proxyConfiguration": {
    "useApifyProxy": 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 = {
    "search": "ai note taking",
    "topic": "",
    "limit": 30,
    "include_details": false,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/product-hunt-product-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 = {
    "search": "ai note taking",
    "topic": "",
    "limit": 30,
    "include_details": False,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/product-hunt-product-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 '{
  "search": "ai note taking",
  "topic": "",
  "limit": 30,
  "include_details": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/product-hunt-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/product-hunt-product-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/EjHlvX4db0z7AXedK/builds/ubK6xanchkYeq5ltn/openapi.json