You can access the Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("ahmed_jasarevic/producthunt-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Product Hunt Scraper | Leaderboard & Launch Data as JSON API in Python

The Apify API client for Python is the official library that allows you to use Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON API in JavaScript

Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON API through CLI

Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON OpenAPI definition

Product Hunt Scraper $0.8 💰 | Leaderboards | Clean JSON API

Product Hunt Leaderboard Scraper | Daily, Weekly, Monthly

muzafferkadir/product-hunt-leaderboard

Scrape Product Hunt leaderboards and extracts product data including upvotes, comments, and categories.

Muzaffer Kadir YILMAZ

165

5.0

Product Hunt Scraper (with Emails)

parsebird/product-hunt-scraper

Scrape Product Hunt launches, leaderboards, categories, and topics. Extract product names, taglines, upvotes, ranks, makers, reviews, comments, and emails. Export as JSON, CSV, Excel.

ParseBird

Product Hunt API & Scraper — Launches & Leaderboards

sian.agency/product-hunt-scraper

Product Hunt scraper for new-product launches: daily/weekly/monthly leaderboards, topic feeds & full product profiles. Score, rank, comments, reviews, followers, website, social links, makers, topics & screenshots — clean JSON/CSV. Fast overview or full detail. No account or API key needed.

SIÁN OÜ

Product Hunt Scraper — Leaderboards & Product Leads

scrapersdelight/producthunt-scraper

Scrape Product Hunt daily leaderboards and product pages: rank, score, comments, topics, website URL, domain, rating, review count, followers, categories and socials. HTTP-only, no login.

Scrapers Delight

Product Hunt Products, Upvotes & Makers Scraper

scrapers_lat/product-hunt-scraper

Scrape Product Hunt: daily, weekly and monthly leaderboards, topics and product pages. Extract name, tagline, upvotes, comments, topics, makers, launch date, rank and website link. Export to JSON, CSV or Excel. No login or API key.

Scrapers Lat

Product Hunt Scraper Pro — Daily Launches & Leaderboards

diverse_venture/producthunt-scraper

Scrape Product Hunt's daily launches and leaderboards. Get product names, descriptions, URLs, makers, ratings, and review counts. Use today's RSS feed or any historical date. Perfect for founders, investors, and product researchers tracking new launches. No auth required.

Chak Man Fung

Product Hunt Scraper — Launches, Reviews & Leaderboards

crawloop/producthunt-scraper

Scrape Product Hunt launches, leaderboards, reviews & comments. Export startup leads, ratings, and discussion threads as JSON. No PH API needed. Paginated boards & reviews.

Andrej Kiva

Product Hunt Scraper

maximedupre/product-hunt-scraper

Collect Product Hunt launches from daily and past leaderboards, category or topic pages, and supported URLs. Export ranks, engagement, teams, media, and optional extra data.