# Product Hunt Scraper - Ranks, Votes & Topics (`goat255/producthunt-scraper`) Actor

Collect the top ranked launches for any date range and get one clean row each. Every row has the rank, vote count, comment count, topics, tagline and launch date. Filter by minimum votes or topic.

- **URL**: https://apify.com/goat255/producthunt-scraper.md
- **Developed by:** [Goutam Soni](https://apify.com/goat255) (community)
- **Categories:** Automation, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 launch 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/actors/running/actors-in-store.md#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

Collect the top ranked launches for any date range and get one clean row each, with rank, votes, comments and topics. No login and no API key.

### What it does

- **Rank history** - rankings are published for the period they cover and are hard to reconstruct later, so a scheduled run builds a record you cannot get back afterwards.
- **Any date range** - walk back day by day, week by week or month by month, as far as you want in one run.
- **Vote and comment counts** for every launch, plus the launch day vote count so you can separate day one from everything after.
- **Topics** for each launch, so you can slice a category over time.
- **Filters** for minimum votes and topic.

Common uses: tracking a category over time, competitor launch monitoring, finding products with traction early, market research, and building a launch dataset.

### Coverage

Each daily ranking page publishes its leading launches. In practice a run returns roughly **15 to 25 launches per day**, led by the top ranked ones in order. It is the top of each day rather than the complete list of everything posted that day. Rows are deduplicated across the whole run.

### Input

| Field | Type | Description |
|---|---|---|
| `period` | string | `daily`, `weekly` or `monthly`. |
| `dateFrom` | string | First date, `YYYY-MM-DD`. Defaults to seven days before the end date. |
| `dateTo` | string | Last date, `YYYY-MM-DD`. Defaults to yesterday. |
| `maxResults` | integer | Total cap for the run. Default 500, up to 20000. |
| `minVotes` | integer | Only launches with at least this many votes. |
| `topics` | array | Only launches tagged with one of these topics. |
| `proxyConfiguration` | object | Optional. Enable to spread requests across IPs. |

#### Example input

```json
{
  "period": "daily",
  "dateFrom": "2026-06-18",
  "dateTo": "2026-07-17",
  "maxResults": 2000,
  "minVotes": 50,
  "topics": ["Artificial Intelligence"]
}
```

### Output

Each item is one launch.

```json
{
  "id": 100000001,
  "name": "Example Product",
  "tagline": "A short pitch for the product.",
  "rank": 1,
  "period": "daily",
  "periodLabel": "2026-06-18",
  "dailyRank": 1,
  "weeklyRank": 1,
  "monthlyRank": 3,
  "votes": 984,
  "launchDayVotes": 595,
  "comments": 646,
  "topics": ["Email", "Productivity", "Artificial Intelligence"],
  "featuredAt": "2026-06-18T07:01:00Z",
  "createdAt": "2026-06-18T07:01:00Z",
  "url": "https://www.producthunt.com/posts/example-product",
  "productUrl": "https://www.producthunt.com/products/example-product"
}
```

`rank` is the position for the period you asked for. The daily, weekly and monthly positions are all returned when they are published, so you can see how a launch did across all three.

### Notes

- No login and no API key. Set a date range and run.
- The default end date is yesterday, because a ranking keeps moving until its period closes.
- Set `period` to `weekly` or `monthly` to cover a long span with far fewer requests.
- Schedule a daily run to accumulate a rank and vote history over time.

To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected.

# Actor input Schema

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

Which ranking to read for each date in the range.

## `dateFrom` (type: `string`):

First date to collect, format YYYY-MM-DD. Defaults to seven days before the end date.

## `dateTo` (type: `string`):

Last date to collect, format YYYY-MM-DD. Defaults to yesterday, because a ranking settles once its period closes.

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

Total cap for the run.

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

Only return launches with at least this many votes.

## `topics` (type: `array`):

Only return launches tagged with at least one of these topics, for example Artificial Intelligence or Developer Tools. Leave empty for all topics.

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

Residential proxy is required for this source and is enabled by default. Leaving it on is recommended.

## Actor input object example

```json
{
  "period": "daily",
  "dateFrom": "2026-06-18",
  "dateTo": "2026-07-17",
  "maxResults": 500,
  "topics": [
    "Artificial Intelligence"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `launches` (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 = {
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("goat255/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 = { "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    } }

# Run the Actor and wait for it to finish
run = client.actor("goat255/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 '{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call goat255/producthunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,goat255/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/dCyMwALhKL6Swb53T/builds/UIuHC4NWDEOnD7iOW/openapi.json