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Product Details Scraper

Product Details Scraper

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Scrape product details from eCommerce sites like Amazon, Walmart, Shein, Lazada, and Zalando. Collect name, brand, price, images, ratings, and reviews in structured format for quick analysis or export.

Want to scrape data in bulk? Try Thunderbit for free.

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PRODUCT HUNT#1 Product of the Week
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Extract Product Details InstantlyUse Thunderbit’s AI to pull product data from any eCommerce page—just paste URLs and get organized results.
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Extract Product Details Instantly

Gathering product information for research, comparison, or cataloging is now faster than ever. Thunderbit’s Product Details Scraper uses AI to capture names, brands, prices, images, and more from any eCommerce product page—no manual copying required. Paste your URLs, let the tool do the work, and export your data to Excel, Google Sheets, or Notion. Perfect for sales, marketing, or inventory teams who need accurate product data without the hassle.

How to Extract Product Details Using Thunderbit

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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.
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STEP 2Open ExtensionNavigate to the eCommerce product pages you want to extract details from. Open the Thunderbit Chrome Extension and select the "Product Details Scraper" tool. Paste one or more product page URLs (one per line) into the input field labeled "Product URLs."
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STEP 3Click the Extract Product Details ButtonClick the "Extract Product Details" button. Thunderbit will retrieve product information such as name, brand, manufacturer, price, description, product image, and the original URL. The results will be displayed in a structured table, which you can export to Excel, Google Sheets, Airtable, Notion, or download as CSV or JSON.

Learn how to extract detailed product information from eCommerce URLs

Extract Product Details from Multiple URLs

The Product Details Scraper lets you gather comprehensive product data from one or more eCommerce product page URLs. Simply paste the URLs, and the tool retrieves product name, brand, manufacturer, price, description, product image, and the original URL. This feature is ideal for ecommerce managers, product researchers, and marketing teams who need to collect and compare product information quickly without manual copy-pasting.
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Display Results in a Structured Table

After extraction, all product details are organized in a clear, structured table. This makes it easy to review, compare, and analyze product data at a glance. The table format helps users spot trends, inconsistencies, or missing information, streamlining the process of catalog management or competitor analysis. This organization saves time and reduces the risk of overlooking important product attributes.
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Export Data to Your Favorite Tools

Once your product data is extracted, you can export the results to Excel, Google Sheets, Airtable, or Notion. The export-ready format ensures that your data is immediately usable for reporting, inventory updates, or further analysis. This flexibility is perfect for teams who need to integrate product information into their existing workflows or share findings with colleagues.
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Support Product Research and Catalog Management

Use the Product Details Scraper to streamline product research, competitor monitoring, or catalog updates. Whether you’re tracking prices, updating product listings, or benchmarking against competitors, this tool helps you collect accurate, up-to-date information in minutes. It’s especially useful for ecommerce operations, procurement teams, and digital marketers who need reliable product data for decision-making.
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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.

Frequently Asked Questions

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
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