# Product Hunt Scraper - Daily Launches, Upvotes & Ranks (`datadepot/producthunt-scraper`) Actor

Scrape Product Hunt launches: product name, tagline, upvotes, daily/weekly rank, comments, topics, launch date and URL. Today's homepage or any past leaderboard day. $3 per 1,000 products.

- **URL**: https://apify.com/datadepot/producthunt-scraper.md
- **Developed by:** [Matt Springer](https://apify.com/datadepot) (community)
- **Categories:** Lead generation, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 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 Scraper: daily launches, upvotes, ranks and topics

Get **Product Hunt launches as clean JSON, CSV or Excel**. You get product name, tagline, upvote score, daily and weekly rank, comment count, topics, launch date, product URL and thumbnail. Scrape today's homepage or any past daily leaderboard.

### Who uses it

- **Founders and marketers:** track competitors and trending categories (AI, dev tools, SaaS).
- **Investors and scouts:** spot breakout launches early by rank and upvotes.
- **Lead-gen and newsletters:** build daily lists of new products and makers.
- **Researchers:** build datasets of launches by topic over time.

### Input

| Field | Description |
|---|---|
| `dates` | Optional list of days (`YYYY-MM-DD`). Empty means today's homepage feed. |
| `maxItems` | Maximum products to return. |
| `proxy` | US residential proxy recommended (Product Hunt blocks datacenter IPs). |

### Output example

```json
{"name":"ReSO AI","tagline":"Get discovered & recommended when customers ask AI","score":357,"dailyRank":1,"weeklyRank":10,"commentsCount":26,
 "topics":["SEO","Artificial Intelligence","Marketing automation"],"featuredAt":"2026-10-10T00:01:00-07:00","url":"https://www.producthunt.com/products/reso"}
```

### Pricing

**$3 per 1,000 products** (pay per result). No subscription, and you only pay for products returned.

### Notes

- Leaderboard pages currently return the first screen of each day (about 20 products). The homepage returns about 65–70 recent launches.
- Use the Apify API, schedules, webhooks or integrations (Google Sheets, Zapier, Make) to get a fresh daily feed automatically.
- This scraper collects public data only. Respect Product Hunt's terms and applicable laws.

# Actor input Schema

## `dates` (type: `array`):

Leaderboard days to scrape, format YYYY-MM-DD (e.g. 2026-10-08). Leave empty to scrape today's Product Hunt homepage.

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

Maximum number of products to return (you pay per product).

## `proxy` (type: `object`):

Product Hunt blocks datacenter IPs; residential US proxy is recommended.

## Actor input object example

```json
{
  "dates": [],
  "maxItems": 200,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

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

All scraped Product Hunt products with name, tagline, upvotes, ranks, topics and URLs.

# 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 = {
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadepot/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 = { "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    } }

# Run the Actor and wait for it to finish
run = client.actor("datadepot/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 '{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call datadepot/producthunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datadepot/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/5zj8xtWsdAm6ayGKp/builds/q9pdJpcoTZ3U2Bin2/openapi.json