# Product Hunt Launch Scraper (`conversational_kermis/pulse-producthunt`) Actor

Collect Product Hunt launches. NOT WORKING AS A SCRAPER: producthunt.com answers 403 to anything but a browser and shows a Cloudflare challenge in one. Their GraphQL API does work and needs only a free developer token - that is the route to revive this.

- **URL**: https://apify.com/conversational\_kermis/pulse-producthunt.md
- **Developed by:** [the anh nguyen](https://apify.com/conversational_kermis) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Launch Scraper

Returns the launches currently on the Product Hunt front page: product name,
tagline, maker, launch date and the product's Product Hunt page.

No credentials, no proxy, no browser. The Actor reads the Atom feed Product Hunt
publishes for syndication at `https://www.producthunt.com/feed`.

### What it does and does not return

| | |
|---|---|
| Product name | yes |
| Tagline | yes |
| Maker (public display name) | yes |
| Launch date and last-updated date | yes |
| Product Hunt page URL | yes |
| **Vote count** | **no** |
| **The product's own website** | **no** |

The last two are not omissions of effort, they are not in the reachable
surface. The feed carries no vote count, and the outbound link is an
`/r/p/<id>` redirect that answers 403 to anything but a browser session. Rather
than emit a `score` of `0` for every row and let it read as "no votes", the
field is not emitted at all.

Per-topic feeds (`/topics/<topic>/feed`) are behind the same 403, so this Actor
covers the front page only.

### Input

| Field | Default | What it does |
|---|---|---|
| `maxResults` | `30` | Launches to return. The feed holds about 50, which is the ceiling. |

### Output

One row per launch:

| Field | Type | Notes |
|---|---|---|
| `source` | string | always `producthunt` |
| `title` | string | product name |
| `text` | string | `Name — tagline` |
| `url` | string | Product Hunt page for the launch |
| `author` | string | maker's public display name |
| `date` | string | ISO 8601 launch date |
| `scrapedAt` | string | ISO 8601 timestamp of capture |
| `name` | string | product name |
| `tagline` | string | one-line description |
| `postId` | string | Product Hunt post id |
| `updatedAt` | string | ISO 8601, last change Product Hunt recorded |

### Notes

Part of the Pulse scraper family. Rows share `source`/`title`/`text`/`url`/
`author`/`date`/`scrapedAt` across sources, so results from several Pulse Actors
can be concatenated without reshaping. `score` is part of that shared shape
where the source publishes one; Product Hunt does not.

Author fields are public display names as published by the source. No e-mail
addresses and no private profile data are collected.

# Actor input Schema

## `maxResults` (type: `integer`):

How many launches to return. Product Hunt's front-page feed holds about 50 entries, so that is the practical ceiling.

## Actor input object example

```json
{
  "maxResults": 30
}
```

# Actor output Schema

## `dataset` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("conversational_kermis/pulse-producthunt").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("conversational_kermis/pulse-producthunt").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 conversational_kermis/pulse-producthunt --silent --output-dataset

```

## MCP server setup

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

```

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/WzMRgfagZJ83A8Y6Z/builds/LJbdZzPTapEUA09gQ/openapi.json