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

Scrape Product Hunt daily, weekly and monthly leaderboards for any date range: name, tagline, votes, comments, ranks, topics, launch date, links and thumbnail. One result per product.

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

## Pricing

from $1.60 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Scrape [Product Hunt](https://www.producthunt.com) leaderboards for any date range: daily, weekly or monthly. One result per product: name, tagline, votes, comments, daily, weekly and monthly rank, topics, launch time, launch page, product page, website link and thumbnail. $2 per 1,000 products on the Free plan, less on paid plans. No browser and no login; residential proxy included.

Good for tracking what launches well, building launch databases, competitor monitoring and startup research.

### What you get

| Field | Type | Description |
| --- | --- | --- |
| `leaderboard` | string | Leaderboard the product was found on, for example daily 2026-10-13, weekly 2026-W41 or monthly 2026-09 |
| `position` | integer | Position on that leaderboard page, starting at 1, ads excluded |
| `id` | string | Product Hunt post ID |
| `name` | string | Product name |
| `tagline` | string or null | Product tagline |
| `url` | string | Product Hunt launch page |
| `product_url` | string or null | Product Hunt product page, which groups all launches of the product |
| `website_redirect_url` | string or null | Product Hunt link that redirects to the product's website |
| `votes` | integer or null | Current upvote count; null when the maker hides it |
| `launch_day_votes` | integer or null | Upvotes on launch day |
| `comments` | integer or null | Number of comments |
| `daily_rank` | integer or null | Rank on its launch day |
| `weekly_rank` | integer or null | Rank in its launch week |
| `monthly_rank` | integer or null | Rank in its launch month |
| `topics` | array | Topics, for example Developer Tools |
| `thumbnail_url` | string or null | Product thumbnail image URL |
| `launched_at` | string or null | Launch time, ISO 8601, Pacific time |
| `scraped_at` | string | UTC time the product was scraped, ISO 8601 |

### Input

- `period`: `daily` (default), `weekly` or `monthly` leaderboard.
- `startDate` and `endDate`: date range, `YYYY-MM-DD`. Every day, ISO week or month that overlaps the range is scraped. Both empty means yesterday's daily leaderboard.
- `maxItems`: stop after this many products in total. Default 500.
- `proxyConfiguration`: Apify residential proxy by default, because Product Hunt blocks most datacenter IPs. Its cost is included in the price.

```json
{
  "period": "daily",
  "startDate": "2026-10-01",
  "endDate": "2026-10-14"
}
```

### Example output

````json
{
  "leaderboard": "daily 2026-09-01",
  "position": 1,
  "id": "1198993",
  "name": "Kilo Code for JetBrains",
  "tagline": "Fully native, open-source coding agent built for JetBrains",
  "url": "https://www.producthunt.com/posts/kilo-code-for-jetbrains-2",
  "product_url": "https://www.producthunt.com/products/kilocode",
  "website_redirect_url": "https://www.producthunt.com/r/p/1198993",
  "votes": 478,
  "launch_day_votes": 472,
  "comments": 85,
  "daily_rank": 1,
  "weekly_rank": 1,
  "monthly_rank": 10,
  "topics": [
    "Open Source",
    "Software Engineering",
    "Developer Tools"
  ],
  "thumbnail_url": "https://ph-files.imgix.net/985b8fc3-25d0-4a9d-a2de-c4e85d8aeb13.gif",
  "launched_at": "2026-09-01T00:01:00-07:00",
  "scraped_at": "2026-10-16T13:21:12+00:00"
}
```json
{ "period": "weekly" }
````

Each dataset item is one product from a leaderboard with the fields listed under "What you get".

# Actor input Schema

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

Which Product Hunt leaderboard to scrape for each day, week or month in the date range.

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

First day of the range, YYYY-MM-DD. Leave empty to scrape only the end date. Example: 2026-10-01.

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

Last day of the range, YYYY-MM-DD. Leave empty for yesterday (UTC).

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

Stop after this many products in total.

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

Proxy for Product Hunt pages. Product Hunt blocks most datacenter IPs, so residential proxy is the default. Each page is tried once directly, then up to 5 times through this proxy, each from a different IP.

## Actor input object example

```json
{
  "period": "daily",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Product Hunt leaderboard products with votes and ranks.

# 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 = {
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("distinct_readjustment/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 = {
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("distinct_readjustment/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 '{
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call distinct_readjustment/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,distinct_readjustment/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/ZsP6yW3TLvyjn0bxP/builds/rwFm5aHIheiN0sTV2/openapi.json