# Product Hunt Launches Scraper: Daily, Weekly & Monthly (`sblabs/product-hunt-launches-scraper`) Actor

Get Product Hunt launches for any day, week or month. Input: period and dates. Output: name, tagline, votes, comments, daily, weekly and monthly rank, topics and links. Use it to track new startups, trends and competitors, or to research a launch. Pay per launch.

- **URL**: https://apify.com/sblabs/product-hunt-launches-scraper.md
- **Developed by:** [SB](https://apify.com/sblabs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.60 / 1,000 launches

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 Launches Scraper: Daily, Weekly & Monthly

Get **every Product Hunt launch** from the daily, weekly or monthly leaderboards for any date range: name, tagline, votes, comments, daily/weekly/monthly rank, topics, logo and links. Export to JSON, CSV or Excel, or call it from code, n8n, Make, Zapier or an AI agent through MCP.

**You only pay for launches delivered.** Leaderboards that can't be read get an error row and are never charged.

### Why this one

- **Complete leaderboards.** Pages through the whole leaderboard, not just the first screen: all featured launches, or switch off *Featured only* to get every launch of the day.
- **Any period, any range.** Daily, weekly (ISO weeks, as Product Hunt uses) or monthly. Give a start and end date and get every leaderboard in between in one dataset.
- **Fast and light.** No browser. Reads Product Hunt's own data feed, 20 launches per request. In our release test it fetched **240 launches from 7 daily leaderboards in 19 seconds, with zero errors**.
- **Built for monitoring.** Leave the dates empty and it fetches yesterday's leaderboard. Schedule it daily to track competitors, trends or leads.
- **Self-updating.** It reads the query Product Hunt's own site uses on every run, so small site changes don't break it.

### Output

One item per launch:

```json
{
  "period": "daily",
  "periodLabel": "2026-10-15",
  "position": 1,
  "name": "Talanoa",
  "tagline": "Email that feels like chat",
  "votes": 329,
  "launchDayVotes": 307,
  "comments": 41,
  "dailyRank": 1,
  "weeklyRank": 5,
  "monthlyRank": 22,
  "topics": ["Email", "Productivity", "Task Management"],
  "productUrl": "https://www.producthunt.com/products/talanoa-2",
  "launchUrl": "https://www.producthunt.com/products/talanoa-2?launch=talanoa-2",
  "websiteRedirectUrl": "https://www.producthunt.com/r/p/1267030",
  "thumbnailUrl": "https://ph-files.imgix.net/….png",
  "featuredAt": "2026-10-15T00:01:00-07:00",
  "createdAt": "2026-10-15T00:01:00-07:00",
  "status": "ok"
}
```

`votes` is the current upvote count; `launchDayVotes` is the count at the end of launch day. `websiteRedirectUrl` is Product Hunt's link that forwards to the product's website.

### Input

| Option | Default | Notes |
|---|---|---|
| `period` | `daily` | `daily`, `weekly` or `monthly` |
| `startDate` | yesterday | `YYYY-MM-DD`, Pacific time like Product Hunt |
| `endDate` | = start | Every day/week/month in the range is included |
| `featuredOnly` | true | Off = every launch, not only featured ones |
| `maxLaunchesPerPeriod` | 100 | 0 = all |
| `maxConcurrency` | 3 | Leaderboards fetched in parallel |
| `maxRetries` | 5 | Retries with a fresh connection |
| `proxyConfiguration` | residential | Product Hunt blocks most data-center traffic |

### Use cases

- **Market and trend research:** which categories launch and win each week or month.
- **Lead generation:** new startups launching every day, with links to their sites.
- **Competitor tracking:** see when rivals launch and how they rank.
- **Newsletters and AI digests:** feed yesterday's top launches into an LLM summary.

### Use it from code

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("sblabs/product-hunt-launches-scraper").call(run_input={
    "period": "daily",
    "startDate": "2026-10-01",
    "endDate": "2026-10-07",
    "maxLaunchesPerPeriod": 0,
})
for l in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(l["periodLabel"], l["position"], l["name"], l["votes"])
```

### Pricing

Pay per event: **one charge per launch delivered**, at the price on the Pricing tab. Set a maximum cost per run and the Actor stops cleanly when it reaches it.

### FAQ

**Does it include maker names or emails?** No. It returns the public launch data shown on the leaderboards.

**What time zone are dates in?** Pacific time, the same as Product Hunt's leaderboards.

**Is it legal?** The Actor reads publicly visible data. You are responsible for how you use it, including Product Hunt's terms.

**Something broke?** Open an issue on the Issues tab with your input.

### More tools from sblabs

- [YouTube Transcript Scraper](https://apify.com/sblabs/youtube-transcript-scraper): transcripts as clean text, AI-ready chunks with timestamps, SRT and VTT.
- [App Reviews Scraper](https://apify.com/sblabs/app-reviews-scraper): Google Play and App Store reviews in one run, same fields for both stores.
- [Shopify Products Scraper](https://apify.com/sblabs/shopify-products-scraper): every product, price, sale price, variant and stock flag from any Shopify store.

# Actor input Schema

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

Which Product Hunt leaderboard to read.

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

First day to cover (YYYY-MM-DD, Pacific time like Product Hunt). Empty = yesterday.

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

Last day to cover (YYYY-MM-DD). Empty = same as From date. Weekly and monthly modes cover every week or month touching the range.

## `featuredOnly` (type: `boolean`):

On: the launches Product Hunt features on the leaderboard. Off: every launch of the period, including non-featured ones.

## `maxLaunchesPerPeriod` (type: `integer`):

Stop after this many launches for each leaderboard. 0 = all.

## `maxConcurrency` (type: `integer`):

How many days/weeks/months to fetch at the same time.

## `maxRetries` (type: `integer`):

Retries with a fresh connection when Product Hunt refuses a request.

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

Product Hunt blocks most data-center traffic, so a residential proxy is used by default.

## Actor input object example

```json
{
  "period": "daily",
  "featuredOnly": true,
  "maxLaunchesPerPeriod": 100,
  "maxConcurrency": 3,
  "maxRetries": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

One item per launch, plus error rows for leaderboards that could not be read.

## `summary` (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("sblabs/product-hunt-launches-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("sblabs/product-hunt-launches-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 sblabs/product-hunt-launches-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sblabs/product-hunt-launches-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/UoFySCjHVyfKDz9Zo/builds/aSVNEnR1kiIRXMu11/openapi.json