Product Hunt launches scraper
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Scrape daily new product launches from Product Hunt and get structured data for trend analysis, inspiration, or competitor research.
Scrape hundreds of webpages with the Thunderbit Chrome Extension in one click, try the Thunderbit API for free, or use our Web Scraping Service to save engineering time.
Discover New Product Hunt Launches FastExtract daily product data from Product Hunt’s Launches page in seconds—no manual copy-paste required.
Install fromChrome Web Store
Discover New Product Hunt Launches Fast
Monitor new product launches, upvotes, and categories on Product Hunt with Thunderbit’s AI-powered scraper. Just provide the Launches page URL and receive a clean, structured table with product names, descriptions, upvotes, and more—ideal for market research or inspiration.
Thunderbit supports scraping subpages, extracting additional details, and exporting your data to Google Sheets, Airtable, or Notion. Analyze trends, compare competitors, and keep your research organized with minimal effort.
How to Scrape Product Hunt Launches Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionNavigate to the Product Hunt Launches page you want to scrape, such as https://www.producthunt.com/launches. Open the Thunderbit Chrome Extension and select the "Product Hunt Launches Scraper" tool from the menu. Paste the URL of the Product Hunt Launches page into the provided input field.
STEP 3Click the Scrape Launches ButtonClick the "Scrape Launches" button. Thunderbit will process the page and extract product information including Product Name, Product URL, Product Description, Product Category, Upvotes, and Comments Count into a structured table. You can then export the results to Excel, Google Sheets, Airtable, Notion, or download them as CSV or JSON.
Learn how to extract daily product launches from Product Hunt
Scrape Product Hunt Launches for Key Product Data
The Product Hunt Launches Scraper allows you to collect structured information from the Product Hunt Launches page. By simply entering the page URL, you can gather details such as product name, description, category, upvotes, and comments. This tool is ideal for entrepreneurs, marketers, and analysts who want to monitor new tech trends or keep an eye on emerging competitors without manual data collection.
Automate Trend Analysis and Competitor Research
With this tool, you can quickly build a daily snapshot of newly launched products, making it easier to spot trends and analyze market movements. The scraper organizes all relevant data into a table, saving you hours of manual research. Whether you’re tracking up-and-coming startups or gathering inspiration for your next project, this tool streamlines the process and increases the accuracy of your findings.
Export and Integrate Product Data Effortlessly
After scraping, you can export the collected product data to Excel, Google Sheets, Airtable, or Notion. The output is formatted as a table with columns for product name, URL, description, category, upvotes, and comments count. This makes it easy to integrate the data into your existing workflows, create custom dashboards, or share insights with your team for further analysis.
Support Inspiration Gathering and Product Discovery
Use the structured data to build inspiration boards, track product launches over time, or curate lists of interesting tools. Designers, founders, and product managers can leverage this information to discover new ideas, benchmark against competitors, or identify gaps in the market. The organized output ensures you always have the latest product information at your fingertips for brainstorming or strategic planning.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
