# Product Hunt Scraper: Product Hunt Launches, Upvotes, Makers (`themineworks/product-hunt-scraper`) Actor

Product Hunt scraper for launches from daily, weekly or monthly leaderboards, topics or product pages: name, tagline, upvotes, comments, rank, launch date, makers, hunter, website and topics, plus launch comments. Any date range. No login, no API token. $1.49 per 1,000 rows.

- **URL**: https://apify.com/themineworks/product-hunt-scraper.md
- **Developed by:** [The Mine Works](https://apify.com/themineworks) (community)
- **Categories:** Lead generation, Developer tools, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.89 / 1,000 rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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: Launches, Makers, Upvotes, Comments

[![98 Product Hunt launches with makers, hunter and website in 52 seconds](https://api.apify.com/v2/key-value-stores/cUXz95yxflDho41nn/records/product-hunt-scraper-hero.png)](https://console.apify.com/actors/JeB9vmcGtyragF1HE/input?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

From **The Mine Works**, makers of [Threads Scraper](https://apify.com/themineworks/threads-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral) and [B2B Leads Finder](https://apify.com/themineworks/b2b-leads-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), with over 245,000 runs across 280+ public actors.

Last verified 29 Oct 2026: a live test run on Apify returned 17 launches in 13 seconds.

### Why choose this actor?

- **Every launch of any day, week or month, with the people behind it.** Give a date range and get each leaderboard as Product Hunt ranks it: our final test read the daily leaderboards of 1, 2 and 3 October 2026 and returned all 98 featured launches in 52 seconds, every one with its website, description, hunter and topics, and 93% with a makers list (the rest list no maker). No API token to apply for, no login, no cookies.
- **Old launches get full details too.** Product Hunt's product page only spotlights a product's recent launches, so a scraper that reads that page alone loses the makers of older ones. This actor asks for those launches one by one: in a test on Cursor's 11 launches back to 2025, 11 of 11 came back with makers, hunter, link and description.
- **Pay only for new launches on a schedule.** Turn on `onlyNewItems` and each run skips launches an earlier run delivered. In our test on the 37 featured launches of 4 October 2026, run one delivered the top 20, run two the other 17, and run three found 0 new launches and charged 0. A launch found twice in one run is delivered and charged once.

[![Run it on Apify](https://api.apify.com/v2/key-value-stores/cUXz95yxflDho41nn/records/button-run.png)](https://console.apify.com/actors/JeB9vmcGtyragF1HE/input?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Part of The Mine Works Marketing, SEO and reviews family:** [Facebook Ad Library Scraper](https://apify.com/themineworks/meta-ad-library-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Google Ads Transparency Scraper](https://apify.com/themineworks/google-ads-transparency?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Similarweb Scraper](https://apify.com/themineworks/similarweb-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Google News Scraper](https://apify.com/themineworks/google-news?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Trustpilot Reviews Scraper](https://apify.com/themineworks/trustpilot-reviews?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral), [Google Trends Scraper](https://apify.com/themineworks/google-trends-pro?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral).

Guide and FAQs: [Product Hunt Scraper on themineworks.com](https://themineworks.com/actors/product-hunt-scraper/).

### Try it in one minute

Paste this into the input (JSON view) and press Start. It returns the top 20 launches of 4 October 2026 with makers, hunter, website and description, in about 35 seconds:

```json
{
  "mode": "leaderboard",
  "startDate": "2026-10-04",
  "maxItems": 20
}
```

`mode` picks the source. `leaderboard` reads the daily, weekly or monthly leaderboard (`period`) for every date from `startDate` to `endDate`, as `2026-10-04`, `today`, `yesterday` or `7 days ago`. `topics` takes topic slugs or links (`developer-tools`, `https://www.producthunt.com/topics/productivity`). `products` takes product links (`https://www.producthunt.com/products/notion`), launch links (`https://www.producthunt.com/posts/cursor-1-7`) or bare product slugs. `comments` takes launch links or product links (the product's latest launch).

Apify's free plan includes $5 of credit every month, which covers about 3,200 results at this actor's price.

#### Copy to your AI assistant

```text
themineworks/product-hunt-scraper on Apify. Scrapes Product Hunt launches from daily, weekly or monthly leaderboards over a date range, from topics, or from product and launch links, one row per launch with name, tagline, upvotes, comments count, daily, weekly and monthly rank, launch date, topics, thumbnail, product page, and (details on) makers and hunter with profile links, the launch's website, description, pricing and gallery; comments mode returns one row per comment and reply. Call ApifyClient("TOKEN").actor("themineworks/product-hunt-scraper").call(run_input={"mode": "leaderboard", "period": "daily", "startDate": "2026-10-01", "endDate": "2026-10-03", "maxItems": 50}), then client.dataset(run["defaultDatasetId"]).list_items().items. Required: none (default: yesterday's daily leaderboard). Optional: mode ("leaderboard", "topics", "products", "comments"), period ("daily", "weekly", "monthly"), startDate and endDate ("YYYY-MM-DD", "today", "yesterday", "N days ago"), featuredOnly (default true), topics (list of slugs or links), topicOrder ("newest" or "best"), productUrls (product or launch links), launchUrls (for comments), maxItems (rows per day, week, month, topic, product or launch, 20 to 5000, default 100), includeDetails (default true), onlyNewItems (default false). Full spec: GET https://api.apify.com/v2/acts/themineworks~product-hunt-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations?fpr=ymnoit&utm_source=apify-readme&utm_medium=referral
```

### Key features

- **Four sources in one actor**: daily, weekly and monthly leaderboards for any range of dates back to November 2013 (up to 400 periods per run), topics, product and launch links, and the comments of any launch.
- **40 fields per launch row**: id, name, tagline, launch link, product id, name, slug and page, website and its domain, Product Hunt's visit link, upvotes now and at the end of launch day, comments count, daily, weekly and monthly rank, launch date and time, featured flag, launch number, topics, badges such as "#1 Product of the Day", makers, hunter, thumbnail, full description, pricing label and gallery.
- **Featured or every launch**: the leaderboard shows featured launches by default (26 to 39 a day in early October 2026); switch `featuredOnly` off to get every launch of the period. Our weekly test returned 300 launches of one week in 40 seconds.
- **Topics with product facts**: topic rows add the product's review rating, review count, followers, number of launches and categories, newest launch first or best rated first.
- **Comments as rows**: one row per comment and per reply, with the author as shown, text, upvotes, time, a maker badge, the parent comment and a link. 60 comments of two launches took 15 seconds.
- **A run summary you can audit**: the `OUTPUT` record lists each source's status, rows delivered, pages read, requests by type with their success rate, and how many IPs the site let through.

### How to use it

#### Basic: yesterday's top launches

With no input at all the actor reads yesterday's daily leaderboard (Product Hunt days run on Pacific time):

```json
{
  "mode": "leaderboard",
  "startDate": "yesterday",
  "maxItems": 50
}
```

#### Several days at once

Every day from `startDate` to `endDate` is its own source of up to `maxItems` launches. This is our final test: the 98 featured launches of three days in 52 seconds, all with details.

```json
{
  "mode": "leaderboard",
  "period": "daily",
  "startDate": "2026-10-01",
  "endDate": "2026-10-03",
  "maxItems": 50
}
```

#### Job: daily launch alerts for a newsletter or a Slack channel

Read yesterday's featured launches every morning and pay only for launches you have not received before. Save this as a task and add a daily schedule (for example 09:00 UTC, after the Pacific day has closed):

```json
{
  "mode": "leaderboard",
  "startDate": "yesterday",
  "maxItems": 100,
  "onlyNewItems": true
}
```

#### Job: a month of makers for outreach or research

The monthly leaderboard ranks a whole month. Each row carries the makers and the hunter with their Product Hunt profile links as shown on the launch, and the launch's website, so you can see who built what:

```json
{
  "mode": "leaderboard",
  "period": "monthly",
  "startDate": "2026-09-01",
  "maxItems": 500
}
```

#### Job: every launch of a week, fast

Switch `featuredOnly` off for every launch of the period, featured or not, and switch `includeDetails` off when names, taglines, upvotes, ranks and topics are enough. Our test returned 300 launches of week 40 of 2026 in 40 seconds with 19 requests:

```json
{
  "mode": "leaderboard",
  "period": "weekly",
  "startDate": "2026-09-28",
  "featuredOnly": false,
  "includeDetails": false,
  "maxItems": 300
}
```

#### Job: watch a topic or a set of competitors

Topics give the products in each topic with their latest launch, newest launch first or best rated first. Product links give every launch a product has made, newest first:

```json
{
  "mode": "topics",
  "topics": ["developer-tools", "https://www.producthunt.com/topics/artificial-intelligence"],
  "topicOrder": "newest",
  "maxItems": 20
}
```

```json
{
  "mode": "products",
  "productUrls": ["https://www.producthunt.com/products/cursor", "spira-ai"],
  "maxItems": 50
}
```

#### Job: read what people said about a launch

One row per comment and reply, with the author as shown, a maker badge and upvotes. 60 comments of these two launches took 15 seconds:

```json
{
  "mode": "comments",
  "launchUrls": ["https://www.producthunt.com/posts/cursor-1-7", "https://www.producthunt.com/products/spira-ai"],
  "maxItems": 100
}
```

### Input parameters

| Parameter | Type | Default | What it does |
|---|---|---|---|
| `mode` | string | `leaderboard` | `leaderboard`, `topics`, `products` or `comments`. Each mode reads only its own fields below. |
| `period` | string | `daily` | Leaderboards: `daily`, `weekly` (Product Hunt's Monday to Sunday weeks) or `monthly`. |
| `startDate` | string | `yesterday` | Leaderboards: first date, as `2026-10-01`, `today`, `yesterday` or `7 days ago`. Pacific time. |
| `endDate` | string | same as `startDate` | Leaderboards: last date, included. Up to 400 days, weeks or months per run. |
| `featuredOnly` | boolean | `true` | Leaderboards: featured launches only, as Product Hunt shows by default. Off adds every launch of the period. |
| `topics` | array of strings | empty | Topics mode: topic slugs or links, for example `developer-tools`. |
| `topicOrder` | string | `newest` | Topics mode: `newest` (latest launch first) or `best` (best rated first). |
| `productUrls` | array of strings | empty | Products mode: product links, launch links (`/posts/<launch>` or `/products/<product>?launch=<launch>`) or product slugs. |
| `launchUrls` | array of strings | empty | Comments mode: launch links, or product links for the product's latest launch. |
| `maxItems` | integer | `100` | Most rows for each source (each day, week, month, topic, product or launch), 20 to 5,000. Also the most you pay for per source. |
| `includeDetails` | boolean | `true` | Adds makers, hunter, website, description, every topic, pricing, gallery and badges. One more request per launch. Not used in comments mode. |
| `onlyNewItems` | boolean | `false` | Skips launches (or comments) an earlier run of this actor in your account already delivered. For schedules. |

### What data do you get?

**Launch rows** (`type: "launch"`), from leaderboards, topics and product links:

- **The launch**: `launch_id`, `name`, `tagline`, `slug`, `url` (the launch on Product Hunt), `launch_date` (Pacific day), `launched_at`, `featured`, `launch_number`, `thumbnail_url`.
- **Numbers**: `upvotes`, `launch_day_upvotes`, `comments_count`, `daily_rank`, `weekly_rank`, `monthly_rank`, `badges`.
- **The product**: `product_id`, `product_name`, `product_slug`, `product_url`, `website`, `website_domain`, `redirect_url` (Product Hunt's visit link).
- **People, as shown on the launch**: `makers` (name, username, profile_url, headline), `maker_names`, `hunter_name`, `hunter_username`, `hunter_url`.
- **Content**: `topics`, `topic_slugs`, `description`, `pricing` (`free`, `free_options` or `payment_required`), `media` (gallery images and videos).
- **Topic rows also get**: `product_rating`, `product_reviews_count`, `product_followers`, `product_launches_count`, `product_categories`, `topic`.
- **Where it came from**: `source` (for example `daily 2026-10-02`), `source_type`, `position`, `details` (`read`, `off`, or `not read` with the reason), `scraped_at`.

**Comment rows** (`type: "comment"`): `comment_id`, `parent_comment_id`, `thread_id`, `depth` (0 for a top comment), `body` as plain text, `author_name`, `author_username`, `author_url`, `author_headline`, `is_maker`, `is_hunter`, `comment_badges`, `upvotes`, `replies_count`, `is_pinned`, `created_at`, `comment_url`, and the launch: `launch_id`, `launch_name`, `launch_slug`, `launch_url`, `product_slug`.

How often each field was filled in our final test runs:

| Field | Filled | Why not always |
|---|---|---|
| `launch_id`, `name`, `tagline`, `url`, `product_slug`, `upvotes`, `comments_count`, `daily_rank`, `weekly_rank`, `monthly_rank`, `launch_date`, `topics`, `thumbnail_url` | 100% of 98 leaderboard rows | |
| `website`, `description`, `hunter_name`, `hunter_url`, `launch_number`, `product_name` | 100% of 98 | With `includeDetails` on (the default). |
| `makers`, `maker_names` | 93% of 98 | Some launches list no maker, only a hunter. |
| `pricing` | 98% of 98 | A few launches have no pricing label. |
| `badges` | 15% of 98 | Only the top 5 of a day, week or month get a badge. |
| `featured` | 100% of 300 | In the every launch test, 230 featured and 70 not. |
| `author_headline` | 52% of 60 comments | Only authors with a headline or byline. |

#### Stable fields for automations

These fields were present in every launch row of our final runs, with and without details, and their names will not change:

| Field | Meaning |
|---|---|
| `type` | `launch` (or `comment` in comments mode) |
| `launch_id` | Product Hunt launch id, stable across runs |
| `name` | Launch name |
| `tagline` | Launch tagline |
| `slug` | Launch slug, as in producthunt.com/posts/\<slug> |
| `url` | The launch on Product Hunt |
| `product_slug` | Product slug |
| `product_url` | Product page on Product Hunt |
| `upvotes` | Upvotes when the row was read |
| `comments_count` | Comments on the launch |
| `launch_date` | Launch day, YYYY-MM-DD, Pacific time |
| `topics` | Topic names |
| `source` | The day, week, month, topic, product or launch the row came from |
| `details` | `read`, `off`, or `not read` with the reason |
| `scraped_at` | When the row was read, ISO 8601 UTC |

#### Output examples

A launch with details (products mode, a launch link, trimmed):

```json
{
  "type": "launch",
  "launch_id": "1021616",
  "name": "Cursor 1.7",
  "tagline": "Agent autocomplete, hooks, and team rules",
  "url": "https://www.producthunt.com/products/cursor?launch=cursor-1-7",
  "product_name": "Cursor",
  "product_url": "https://www.producthunt.com/products/cursor",
  "website": "https://cursor.com/changelog/1-7",
  "website_domain": "cursor.com",
  "upvotes": 388,
  "launch_day_upvotes": 283,
  "comments_count": 13,
  "daily_rank": 4,
  "weekly_rank": 18,
  "monthly_rank": 67,
  "launch_date": "2025-10-01",
  "featured": true,
  "launch_number": 5,
  "topics": ["Developer Tools"],
  "makers": [
    { "name": "Ben Lang", "username": "benln", "profile_url": "https://www.producthunt.com/@benln", "headline": "Cursor" },
    { "name": "Jon Kaplan", "username": "jonk1", "profile_url": "https://www.producthunt.com/@jonk1", "headline": "Product Eng at Cursor" }
  ],
  "hunter_name": "Ben Lang",
  "hunter_url": "https://www.producthunt.com/@benln",
  "description": "Cursor 1.7 is here! Introducing autocomplete for agent, hooks, team rules, ability to share prompts with deeplinks, and more. Look forward to hearing what you think!",
  "source": "launch cursor-1-7",
  "details": "read"
}
```

A launch from a weekly leaderboard with every launch and details off (trimmed):

```json
{
  "type": "launch",
  "launch_id": "1263552",
  "name": "Cura",
  "tagline": "Your AI travel agent that plans, books, and adapts",
  "url": "https://www.producthunt.com/products/cura-3?launch=cura-4",
  "product_url": "https://www.producthunt.com/products/cura-3",
  "upvotes": 98,
  "comments_count": 34,
  "daily_rank": 40,
  "weekly_rank": 231,
  "launch_date": "2026-10-01",
  "featured": false,
  "topics": ["Productivity", "Travel", "Artificial Intelligence"],
  "source": "weekly 2026 week 40",
  "position": 231,
  "details": "off"
}
```

A topic row, with the product facts topics add (trimmed):

```json
{
  "type": "launch",
  "name": "Claude Sonnet 5.5",
  "tagline": "Anthropic's second model in the Claude 5.5 family",
  "product_name": "Claude by Anthropic",
  "website": "https://www.anthropic.com/claude-sonnet-5-5",
  "upvotes": 282,
  "daily_rank": 4,
  "launch_date": "2026-09-29",
  "launch_number": 44,
  "badges": ["#4 Product of the Day (2026-09-29)"],
  "hunter_name": "Rohan Chaubey",
  "pricing": "free_options",
  "product_rating": 4.96,
  "product_reviews_count": 1021,
  "product_followers": 87864,
  "product_categories": ["LLMs", "AI Chatbots"],
  "topic": "Productivity",
  "source": "topic productivity"
}
```

A comment row (trimmed):

```json
{
  "type": "comment",
  "comment_id": "4902860",
  "depth": 0,
  "body": "Excited to launch this!! Can't wait to see what everyone builds :)",
  "author_name": "Jon Kaplan",
  "author_url": "https://www.producthunt.com/@jonk1",
  "author_headline": "Cursor",
  "is_maker": true,
  "upvotes": 9,
  "created_at": "2025-09-30T12:37:33-07:00",
  "comment_url": "https://www.producthunt.com/products/cursor?comment=4902860",
  "launch_name": "Cursor 1.7",
  "launch_url": "https://www.producthunt.com/products/cursor?launch=cursor-1-7"
}
```

### Pricing

Pay per event: you pay for the rows you receive, plus a flat $0.005 per run, whatever memory you choose.

| Event | When it is charged | Free plan | Bronze (Starter) | Silver (Scale) | Gold (Business) |
|---|---|---|---|---|---|
| `item-scraped` | Once per launch or comment row stored in your dataset | $1.49 per 1,000 | $1.29 per 1,000 | $1.09 per 1,000 | $0.89 per 1,000 |
| `run-start` | Once per run, when it starts | $0.005 | $0.005 | $0.005 | $0.005 |

The price per single row is the price per 1,000 divided by 1,000. A launch with makers, hunter, website and description costs the same as one without.

Never charged:

- requests Product Hunt refused, and sources the run could not read;
- days, topics or products with no launches, and links that lead nowhere;
- a launch already delivered earlier in the same run (for example a launch that is in two topics);
- with `onlyNewItems`, launches or comments an earlier run already delivered;
- the info row at the end of a run;
- anything past your "Max cost per run": the actor stops delivering when your limit is reached instead of sending rows for free.

### FAQ

#### What exactly does this actor read?

The public pages of producthunt.com, the site where new tech products launch every day, through the same data service the Product Hunt website calls for every visitor: leaderboards, topic pages, product pages, launch pages and their comments. Nothing behind a login is read, and you do not need a Product Hunt API token.

#### How many launches can I get?

A day has 26 to 39 featured launches in early October 2026 and often 300 or more launches in all. `maxItems` caps each source (each day, week, month, topic, product or launch) at 20 to 5,000 rows, and one run can cover up to 400 days, weeks or months. Leaderboards go back to Product Hunt's first day in November 2013.

#### How long does a run take?

Leaderboards come 20 launches a request, and details take one more request per launch, eight at a time. Our final tests: 98 launches of three days with details in 52 seconds, 300 launches of one week without details in 38 seconds, 40 launches of two monthly leaderboards with details in 37 seconds, and 60 comments in 15 seconds.

#### How fresh is the data?

Every run reads Product Hunt live. Upvotes and comment counts are the numbers at the moment of the run; `launch_day_upvotes` keeps the count at the end of launch day.

#### Why do some launches have no makers?

Product Hunt lists makers only when the launch team added them. In our three day test, 91 of 98 launches had at least one maker; the other 7 show only the hunter, exactly as on the site.

#### What are featured launches?

Product Hunt's editors feature a selection of each day's launches; the leaderboard shows those by default. Turn `featuredOnly` off to get every launch of the day, week or month, and read the `featured` field on each row.

#### Do I need an account, cookies or an API token?

No. The actor reads what any logged out visitor sees, with no login, no cookies and no token from you.

#### Do I need a proxy?

No. The actor brings its own: it uses Apify's datacenter proxy, keeps the addresses Product Hunt lets through and drops the ones it refuses. You pay nothing extra for it.

#### What happens with a wrong link or slug?

It is listed in the run's `OUTPUT` record with the status `not_found` and is not charged; the rest of the run carries on. A link that is not a Product Hunt link is reported in the log and skipped.

#### Can I run it on a schedule and get only new launches?

Yes. Use `startDate: "yesterday"`, turn on `onlyNewItems`, save the input as a task and add a daily schedule. Each run skips launches earlier runs delivered: in our test the third run of the same day found 0 new launches and charged 0.

#### Which formats can I download?

JSON, CSV, Excel, XML, RSS and an HTML table, from the run's dataset in Console or through the API. Lists such as `makers` and `topics` become columns in CSV and Excel.

#### Can I use it from Claude, ChatGPT or Cursor (MCP)?

- Connector URL: https://mcp.apify.com/?tools=themineworks/product-hunt-scraper
- Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
- ChatGPT: developer mode, add an MCP connector with the URL, sign in with Apify.
- Cursor or VS Code: add it as an HTTP MCP server with that URL.
- Claude Code: `claude mcp add -t http product-hunt-scraper "https://mcp.apify.com/?tools=themineworks/product-hunt-scraper"`

#### Is it legal to scrape Product Hunt?

The actor reads only what Product Hunt shows publicly to anyone without signing in. Makers, hunters and commenters appear with the name, username, profile link and headline they chose to show; the actor collects no email addresses or phone numbers. You are responsible for how you use the data, for Product Hunt's terms, and for data protection law such as GDPR and CCPA, which matters most if you contact people. If in doubt, ask a lawyer about your use case.

### Integrations

- **Google Sheets**: send each run's rows to a sheet with Apify's Google Sheets integration, or import the CSV link of the dataset.
- **Make, Zapier and n8n**: start the actor and read its dataset with the Apify apps and nodes, for example "yesterday's top 10 launches to Slack every morning".
- **Webhooks**: have Apify call your URL when a run succeeds, then fetch the dataset.
- **API and SDKs**: run it from Python or JavaScript with the Apify client, or with a plain HTTP call (see "Copy to your AI assistant" above).
- **MCP clients**: Claude, ChatGPT, Cursor and VS Code can run it as a tool through the connector URL in the FAQ.

### More from The Mine Works

**Marketing, SEO and reviews**

- [Facebook Ad Library Scraper](https://apify.com/themineworks/meta-ad-library-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google Ads Transparency Scraper](https://apify.com/themineworks/google-ads-transparency?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Similarweb Scraper](https://apify.com/themineworks/similarweb-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google News Scraper](https://apify.com/themineworks/google-news?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Trustpilot Reviews Scraper](https://apify.com/themineworks/trustpilot-reviews?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google Trends Scraper](https://apify.com/themineworks/google-trends-pro?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Semrush Scraper](https://apify.com/themineworks/semrush-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [App Reviews Scraper](https://apify.com/themineworks/app-reviews-monitor?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Trustpilot Business Search](https://apify.com/themineworks/trustpilot-business-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [TripAdvisor Reviews Scraper](https://apify.com/themineworks/tripadvisor-reviews?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Username Checker](https://apify.com/themineworks/username-checker?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Backlink Building Agent](https://apify.com/themineworks/backlink-building-agent?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Social media and video**

- [Threads Scraper](https://apify.com/themineworks/threads-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Reddit Scraper](https://apify.com/themineworks/reddit-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Threads Search Scraper](https://apify.com/themineworks/threads-search-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Instagram Profile Scraper](https://apify.com/themineworks/instagram-profile-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Leads and business directories**

- [B2B Leads Finder](https://apify.com/themineworks/b2b-leads-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Skip Trace Lookup](https://apify.com/themineworks/skip-trace-lookup?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Google Maps Email Scraper](https://apify.com/themineworks/maps-leads?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [2GIS Places Scraper](https://apify.com/themineworks/2gis-places-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**LinkedIn**

- [LinkedIn Company Scraper](https://apify.com/themineworks/linkedin-company-details?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Post Scraper](https://apify.com/themineworks/linkedin-post-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Employees Scraper](https://apify.com/themineworks/linkedin-employees?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [LinkedIn Profile Scraper](https://apify.com/themineworks/linkedin-profile-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Real estate**

- [Zillow Rentals Scraper](https://apify.com/themineworks/zillow-rental-listings?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Zillow Sold Comps Scraper](https://apify.com/themineworks/zillow-recently-sold?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [India Real Estate MCP](https://apify.com/themineworks/india-real-estate-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Housing.com Scraper](https://apify.com/themineworks/housing-com-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Science, health and government data**

- [Academic Research MCP](https://apify.com/themineworks/academic-research-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [CourtListener Scraper](https://apify.com/themineworks/courtlistener-court-records?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Socrata Open Data Scraper](https://apify.com/themineworks/socrata-open-data?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [OpenAlex Scraper](https://apify.com/themineworks/openalex-scholarly-works?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Jobs and hiring**

- [Foundit Monster India Jobs](https://apify.com/themineworks/foundit-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Hirist Jobs Scraper](https://apify.com/themineworks/hirist-jobs-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [India Jobs MCP](https://apify.com/themineworks/india-jobs-mcp?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Naukri Jobs Scraper](https://apify.com/themineworks/naukri-jobs?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Company and business data**

- [Company Domain Finder](https://apify.com/themineworks/company-domain-finder?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GST Taxpayer Lookup](https://apify.com/themineworks/gst-taxpayer-lookup?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Company KYB Resolver](https://apify.com/themineworks/company-identity-resolver?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [SEC EDGAR Filings Scraper](https://apify.com/themineworks/sec-edgar-filings?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**E-commerce and marketplaces**

- [Ozon.ru Scraper](https://apify.com/themineworks/ozon-product-search?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [⭐ Amazon Reviews Scraper](https://apify.com/themineworks/amazon-reviews?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Amazon Product Scraper](https://apify.com/themineworks/amazon-products?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Etsy Listings Scraper](https://apify.com/themineworks/etsy-search-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Food and local services**

- [NoBroker Scraper](https://apify.com/themineworks/nobroker-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Swiggy Restaurant Scraper](https://apify.com/themineworks/swiggy-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Zomato Scraper](https://apify.com/themineworks/zomato-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**Developer and AI tools**

- [Website to Markdown Crawler](https://apify.com/themineworks/rag-crawler?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Skill Finder](https://apify.com/themineworks/github-skill-discovery?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Repo Scraper](https://apify.com/themineworks/github-repo-intelligence?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [GitHub Trending Scraper](https://apify.com/themineworks/github-trending-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

**More tools**

- [G2 Reviews Scraper](https://apify.com/themineworks/g2-reviews-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Naver Blog Scraper](https://apify.com/themineworks/naver-blog-posts-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [WeChat Article Scraper 微信公众号文章](https://apify.com/themineworks/wechat-article-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)
- [Taobao Products Scraper 淘宝 天猫](https://apify.com/themineworks/taobao-products-scraper?fpr=ymnoit\&utm_source=apify-readme\&utm_medium=referral)

### Support

A launch, topic or day that should return rows and does not? Open an issue in the Issues tab with the input and the run ID, and we will look at it. For another source or a field you need, email dmineworks@gmail.com.

*Pick a day, a week, a month, a topic or a product, and get every Product Hunt launch back as a clean row with its upvotes, rank, website and the people who made it.*

# Actor input Schema

## `mode` (type: `string`):

Leaderboards: the launches of each day, week or month between the two dates. Topics: products in each topic with their latest launch. Products: every launch of each product link, or one launch per launch link. Comments: one row per comment and reply of each launch.

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

Which leaderboard to read for each date in the range. Weekly uses Product Hunt's weeks (Monday to Sunday); monthly reads each calendar month the range touches.

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

First date, as 2026-10-01, or today, yesterday, 7 days ago. Product Hunt days run on Pacific time. Empty means yesterday.

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

Last date, included. Empty means the same as the first date. A range can hold up to 400 days, weeks or months.

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

On: the launches Product Hunt features on the leaderboard (about 30 to 50 a day). Off: every launch of the period, featured or not (often 300 or more a day).

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

Topic slugs or links, for example artificial-intelligence, developer-tools or https://www.producthunt.com/topics/productivity. Used in Topics mode.

## `topicOrder` (type: `string`):

Newest: products whose latest launch is most recent come first. Best: the topic's best rated products first, as the topic page shows them.

## `productUrls` (type: `array`):

Product links (https://www.producthunt.com/products/notion) give every launch of the product. Launch links (https://www.producthunt.com/posts/<launch> or /products/<product>?launch=<launch>) give that launch. A bare product slug works too. Used in Products mode.

## `launchUrls` (type: `array`):

Launch links (https://www.producthunt.com/posts/<launch>) or product links (the product's latest launch is used). Used in Comments mode: one row per comment and reply.

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

Most rows for each source: each day, week or month of a leaderboard, each topic, each product, or each launch's comments. 20 to 5,000. You pay per row delivered.

## `includeDetails` (type: `boolean`):

On: one more request per launch adds the makers and hunter (name, username and profile link as shown), the launch's link to the product website, the full description, every topic, pricing, gallery and badges. Off: faster, with name, tagline, upvotes, comments, ranks, three topics and thumbnail.

## `onlyNewItems` (type: `boolean`):

For a schedule: skip launches (or comments) an earlier run of this actor already delivered, so each run returns and charges only new ones.

## Actor input object example

```json
{
  "mode": "leaderboard",
  "period": "daily",
  "startDate": "yesterday",
  "featuredOnly": true,
  "topics": [
    "developer-tools"
  ],
  "topicOrder": "newest",
  "productUrls": [
    "https://www.producthunt.com/products/notion"
  ],
  "launchUrls": [
    "https://www.producthunt.com/posts/ship-os-by-notion"
  ],
  "maxItems": 50,
  "includeDetails": true,
  "onlyNewItems": false
}
```

# Actor output Schema

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

No description

## `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 = {
    "mode": "leaderboard",
    "startDate": "yesterday",
    "topics": [
        "developer-tools"
    ],
    "productUrls": [
        "https://www.producthunt.com/products/notion"
    ],
    "launchUrls": [
        "https://www.producthunt.com/posts/ship-os-by-notion"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("themineworks/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 = {
    "mode": "leaderboard",
    "startDate": "yesterday",
    "topics": ["developer-tools"],
    "productUrls": ["https://www.producthunt.com/products/notion"],
    "launchUrls": ["https://www.producthunt.com/posts/ship-os-by-notion"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("themineworks/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 '{
  "mode": "leaderboard",
  "startDate": "yesterday",
  "topics": [
    "developer-tools"
  ],
  "productUrls": [
    "https://www.producthunt.com/products/notion"
  ],
  "launchUrls": [
    "https://www.producthunt.com/posts/ship-os-by-notion"
  ],
  "maxItems": 50
}' |
apify call themineworks/product-hunt-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,themineworks/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/JeB9vmcGtyragF1HE/builds/iG9dn0UbpLxCP75uM/openapi.json