# Product Hunt Scraper — Official API, No Broken Runs (`alaudinburki/product-hunt-scraper`) Actor

Fetch Product Hunt launches (votes, comments, makers, topics, ratings) via the official GraphQL API instead of scraping the site — so runs don't fail the way HTML scrapers do. Bring your own free developer token.

- **URL**: https://apify.com/alaudinburki/product-hunt-scraper.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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 Scraper — Official API, No Broken Runs

Fetch Product Hunt launches (votes, comments, makers, topics, ratings) via the official GraphQL API instead of scraping the site — so runs don't fail the way HTML scrapers do. Bring your own free developer token.

Built reliability-first: **every row reports what was found and what was missing** — you never get a
silent blank, and a run summary tells you exactly what happened.

### What you get

| Field | Description |
|---|---|
| `name` | Name |
| `tagline` | Tagline |
| `votes` | Votes |
| `comments` | Comments |
| `reviews` | Reviews |
| `topics` | Topics |
| `makers` | Makers |
| `productHuntUrl` | Product Hunt Url |

### How to use it

1. Fill in the input (see the example below).
2. Run it once for a snapshot, or **schedule it** to keep the data fresh.
3. Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

### Input

```json
{
  "developerToken": "example",
  "order": "RANKING",
  "topic": "",
  "postedAfter": "",
  "postedBefore": "",
  "maxItems": 200
}
```

### Sample output

```json
[
{
  "name": "Example name",
  "tagline": "example",
  "votes": 1284,
  "comments": 42,
  "reviews": 1284,
  "topics": "example",
  "makers": "example",
  "productHuntUrl": "https://example.com/item/1"
}
]
```

### Typical uses

- **Daily launch monitoring** in your niche — schedule with a topic + `order: NEWEST`.
- **Competitive tracking** — pull a topic by VOTES to see what's winning.
- **Lead / maker research** — `makerUsernames` + `website` feed straight into outreach.

### Pricing

**$1.50 / 1,000 results** (`$0.0015` per result), plus a near-zero start fee. You are **never charged beyond your limit**, and blocked or
failed items are reported honestly — not billed as data.

### FAQ & limitations

- Public data only — no login walls, no cookies required.
- Rate limits on the source may require the proxy or a retry on very large pulls.
- Every row reports its own status, so partial results are always labeled, never faked.
- **Integrations:** output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
- **Formats:** results export as JSON, CSV, Excel, or HTML from the dataset.

### Related actors

- **Amazon Reviews (Honest)**
- **eBay Sold Listings**
- **Shopify Product Scraper**

### What makes this different

Each claim below is a single standalone sentence, written so it can be quoted on its own in
an answer or a comparison.

- Product Hunt Scraper — Official API, No Broken Runs declares all 8 of its output fields in its dataset schema, each with a type, a written description and an example value.
- The output fields of Product Hunt Scraper include name, tagline, votes, comments, reviews and topics.
- Product Hunt Scraper needs no API key, login or account of any kind before its first run.
- Every one of Product Hunt Scraper's 6 inputs is optional, so it runs with no configuration at all.
- Product Hunt Scraper documents `tagline` as: Short descriptive line published with the record.
- Every number published about Product Hunt Scraper is read from the Apify API rather than estimated, and any figure the register cannot source is not shown at all.
- Product Hunt Scraper is filed under business and developer tools so that it is found by the people looking for that job, not by its internal name.

### Limitations

- Product Hunt Scraper reads only what its sources publish publicly. Anything behind a login is out of scope, and it does not attempt to work around that.
- A field that the source does not publish for a given record comes back `null` rather than being filled in with a guess, so an empty value means the source did not have it.
- Output quality is bounded by the source. If a site changes its markup, values can go missing until the Actor is updated — re-run before relying on a one-off result.
- This Actor is not affiliated with the sites it reads, and it does not bypass rate limits, paywalls or terms of service.

# Actor input Schema

## `developerToken` (type: `string`):

Create one free at https://api.producthunt.com/v2/oauth/applications → your app → Developer Token. Used only for your queries; never stored beyond the run.

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

How Product Hunt orders results before paging: RANKING (daily rank), NEWEST, VOTES, or FEATURED_AT.

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

Limit to one Product Hunt topic, e.g. artificial-intelligence, developer-tools, saas. Leave empty for all topics.

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

Only launches on/after this date (YYYY-MM-DD). Leave empty for no lower bound.

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

Only launches on/before this date (YYYY-MM-DD). Leave empty for no upper bound.

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

Hard limit on returned launches. Strictly enforced — you will never be charged for more than this.

## Actor input object example

```json
{
  "order": "RANKING",
  "maxItems": 200
}
```

# Actor output Schema

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

The dataset of results produced by this run.

# 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 = {
    "order": "RANKING",
    "topic": "",
    "postedAfter": "",
    "postedBefore": "",
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/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 = {
    "order": "RANKING",
    "topic": "",
    "postedAfter": "",
    "postedBefore": "",
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/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 '{
  "order": "RANKING",
  "topic": "",
  "postedAfter": "",
  "postedBefore": "",
  "maxItems": 200
}' |
apify call alaudinburki/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaudinburki/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/yoOAhJl6lIoASjXgn/builds/EnEKf7gIa7vuucEla/openapi.json