Product Hunt Scraper

Detail

Product Hunt is a bustling hub for discovering the latest tech products, startups, and innovations, but keeping up with daily launches and trends can feel like a full-time job for founders, investors, marketers, and tech enthusiasts. Manually sifting through the "Top Products Launching Today" list to gather details like rankings, tags, and engagement stats is tedious and inefficient. BrowserAct, your essential Product Hunt scraper, simplifies this—scrape Product Hunt effortlessly to stay ahead of emerging trends and make informed decisions without the hassle.

BrowserAct Product Hunt Scraper Features and Workflow Capabilities

BrowserAct is a powerful automated data extraction tool that lets you scrape Product Hunt without any coding knowledge. It's designed as an efficient Product Hunt scraper, making it easy to pull data from any webpage. What can it do for you?

Product Hunt Data Scraping: Our Product Hunt scraper intelligently identifies and extracts data from Product Hunt, such as product names, descriptions, categories/tags, review counts, like counts, and URLs. This workflow capability enables seamless scraping of the "Top Products Launching Today" list, automating the collection of structured data from launch pages or daily rankings for quick integration into your research or investment strategies.
AI-Driven Field Suggestions: Powered by AI, it smartly analyzes page structures to suggest and extract key fields like product rankings, one-line descriptions, engagement metrics, and more—perfect for data analysis or market research. The workflow acts as an intelligent assistant, automatically detecting and pulling details without manual setup for accurate, customizable insights.
Ideal Users: Tailored for founders, investors, tech marketers, and product analysts, helping you obtain structured Product Hunt data to drive innovation and growth. This workflow streamlines tasks like monitoring daily launches or analyzing trends, turning raw data into actionable strategies with minimal effort.

How to Use BrowserAct as a Product Hunt Scraper

You can use BrowserAct as a robust Product Hunt scraper to scrape Product Hunt, extracting detailed parameters from the "Top Products Launching Today" list. Users can fine-tune the final extracted information via the workflow. Here's a breakdown of key fields you can target, including core ones with specific formatting and some advanced options for deeper insights:

Rank: The product’s displayed ranking number, e.g., "1".
Product Name: The main title text, e.g., "AI Chatbot Pro".
One-line Description: The single-line subtitle or tagline shown directly below the product name, e.g., "Revolutionize customer support with AI".
Categories/Tags: All visible category/tag labels; if multiple, join with a comma and space, e.g., "AI, Productivity".
Review Count: Numbers only (strip commas, spaces, and abbreviations like K/M), e.g., "45".
Like Count: Numbers only (strip commas, spaces, and abbreviations like K/M), e.g., "1200".
Product URL: The full clickable URL to the product detail page.
Maker Name – Advanced: The name of the product maker or team, e.g., "Tech Innovators Inc.".
Launch Date – Advanced: The date of launch, formatted as "YYYY-MM-DD" (e.g., "2023-10-15").

Step 1: Parameter Setup

Target Website: Base Product Hunt URL (e.g., "https://www.producthunt.com").
Data_Limit: Number of products to scrape (e.g., "30").

Use default values for quick runs, such as setting Data_Limit to "10" for testing without manual changes.

Step 2: Add Visit Page Node

Add a "Visit Page" node and input the URL “/Target Website”. This will navigate to the Product Hunt homepage.

Step 3: Add Scroll Page Node

Add a "Scroll Page - Scroll to Element" node. Input the prompt: “Scroll to Yesterday's Top Products”. This scrolls to the relevant section for today's products.

Step 4: Add Click Element Node

Add a "Click Element" node and input the prompt: “Click the "See all of today's products" button”. This opens the full list of today's products.

Step 5: Add Extract Data Node

Add an "Extract Data" node and input the prompt: “Extract from first /Data_Limit products: Rank, Product Name, One-line Description, Categories/Tags, Review Count, Like Count, Product URL.

Format:

Rank: the product’s displayed ranking number; use "N/A" if missing
Product Name: the main title text; use "N/A" if missing
One-line Description: the single-line subtitle or tagline shown directly below the product name; use "N/A" if missing
Categories/Tags: capture all visible category/tag labels associated with the product; record every tag; if multiple, join them with a comma and a space; use "N/A" if none
Review Count: numbers only (strip commas, spaces, and abbreviations like K/M); use "N/A" if missing
Like Count: numbers only (strip commas, spaces, and abbreviations like K/M); use "N/A" if missing
Product URL: the full clickable URL to the product detail page; use "N/A" if missing”.

Select "Filtering Criteria" and input: “Only extract products that have a numeric rank displayed before the product name. Skip any item that: Lacks a numeric rank, or Shows a “prompt” label under the product name.”.

Step 6: Add Finish: Output Data Node

Add a "Finish: Output Data" node. Select "CSV" as the output format and check "Output as a file" for easy downloading. You can also choose to export in JSON, XML, or Markdown (MD) formats.

Why Scrape Product Hunt Data?

Scraping Product Hunt data with a Product Hunt scraper like BrowserAct delivers significant competitive advantages and insights. Here are the key benefits, including perspectives for both founders and investors:

Trend Discovery: Monitor daily launches and trending products on Product Hunt to spot emerging innovations, guiding idea generation for founders or helping investors identify promising startups.
Competitor Analysis: Track competitors' launches, tags, and engagement to refine your strategy and stay ahead—founders can adapt to popular trends for better visibility.
Product Research and Management: Bulk-scrape details from "Top Products Launching Today", including descriptions and metrics, to discover inspiring ideas and evaluate market fit; investors can use it for due diligence.
Engagement Insights: Extract review and like counts for understanding community reception, improving pitches—founders benefit by gauging feedback on similar launches.
Launch Strategy Optimization: Analyze rankings and categories to uncover successful patterns, boosting your own launches; ideal for ongoing use of a Product Hunt scraper to track daily trends.
Automated Monitoring: Automate collection to generate reports on metrics like like counts, saving time—perfect for founders building roadmaps or investors scouting opportunities.