# Product Hunt Scraper — Launches, Makers & Topics API (`cleanrows/producthunt-posts-scraper`) Actor

Scrape Product Hunt launches with topics, makers and engagement flattened into one clean schema. GraphQL edge/node envelopes unwrapped into plain arrays that survive a CSV export.

- **URL**: https://apify.com/cleanrows/producthunt-posts-scraper.md
- **Developed by:** [Abhinav Gupta](https://apify.com/cleanrows) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 post scrapeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Product Hunt Scraper — launches, makers and topics in one clean schema

Scrape Product Hunt launches with **topics, makers and engagement already
flattened**: vote counts, comments, review ratings, topic names and maker
handles, in a shape that survives a CSV export.

### Why this one

**GraphQL envelopes unwrapped.** Product Hunt returns topics as
`{"edges":[{"node":{"name":"Developer Tools"}}]}` and makers as an array of
objects. Dropped into a spreadsheet that becomes an unreadable blob. Here topics
are a plain array plus a `topicsText` string, and makers are split into
`makerNames` and `makerUsernames`.

**Tracking parameters stripped.** Every URL the API hands back carries
`utm_campaign=producthunt-api`. `url` is the clean launch page.

**The website field is labelled honestly.** Product Hunt returns a tracking
redirect there, not the product's own domain, and it blocks automated resolution
of the destination. It is named `websiteRedirect` so nobody mistakes it for a
company website. No other field is guessed or inferred.

**It tells you why it stopped.** Runs report `stoppedBecause` in `RUN_SUMMARY` —
end of results, your item limit, your charge limit, or rate limiting — instead of
returning a short result that looks like the whole dataset.

### Input

```json
{
  "order": "VOTES",
  "topic": "artificial-intelligence",
  "postedAfter": "2026-01-01",
  "searchQuery": "",
  "minVotes": 100,
  "maxItems": 200
}
```

`order` is `VOTES`, `NEWEST`, `FEATURED_AT` or `RANKING`. `topic` takes a slug
such as `developer-tools`.

### Output

One row per launch:

```json
{
  "postId": "1200627",
  "name": "Prelint",
  "tagline": "Prevent product drift in AI-written code",
  "url": "https://www.producthunt.com/products/prelint/launches/prelint",
  "votesCount": 621,
  "commentsCount": 135,
  "reviewsRating": 5.0,
  "reviewsCount": 3,
  "topics": ["Software Engineering", "Developer Tools", "Artificial Intelligence"],
  "topicsText": "Software Engineering, Developer Tools, Artificial Intelligence",
  "makerNames": ["Wojtek Szkutnik", "Irka Pawlowski", "Krzysztof Kulig"],
  "makerUsernames": ["wojtekszkutnik", "irkapawlowski", "krzysztofkulig"],
  "makerCount": 3,
  "featuredAt": "2026-07-29T07:01:00.000Z"
}
```

### Who this is for

- **Founders and marketers** researching how comparable products launched
- **VCs and scouts** tracking what is shipping in a category
- **Competitive research** on positioning, taglines and topic placement
- **Trend analysis** across topics over time

### Notes and limits

- **Runs are capped at 500 launches.** Product Hunt enforces a rate limit of
  6,250 points per 15 minutes, and that budget is shared across everyone using
  this Actor. The cap exists so one large run cannot leave the next person
  throttled. Runs stop early and say so rather than returning partial data
  silently.
- Product Hunt does not expose the destination of its website redirect, so the
  product's own domain is not available through the API.
- No login, no cookies, no CAPTCHA solving, no proxies.

# Actor input Schema

## `order` (type: `string`):

Sort order requested from Product Hunt.

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

Restrict to one topic, e.g. `artificial-intelligence` or `developer-tools`. Leave empty for all.

## `postedAfter` (type: `string`):

Only launches posted on or after this date.

## `postedBefore` (type: `string`):

Only launches posted on or before this date.

## `searchQuery` (type: `string`):

Keep only launches whose name, tagline or description contains this text.

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

Drop launches below this vote count.

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

How many launches to return. Capped at 500 per run so one run cannot exhaust the shared Product Hunt rate limit for everyone else.

## Actor input object example

```json
{
  "order": "VOTES",
  "searchQuery": "",
  "minVotes": 0,
  "maxItems": 200
}
```

# Actor output Schema

## `launches` (type: `string`):

One row per launch with topics, makers and engagement flattened.

## `runSummary` (type: `string`):

Why the run stopped, pages fetched, and remaining rate-limit points.

# 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("cleanrows/producthunt-posts-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("cleanrows/producthunt-posts-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 cleanrows/producthunt-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cleanrows/producthunt-posts-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/w4oyFMXzTHDckdHoz/builds/YT14NXaEQiPpxVC3R/openapi.json