Amazon Products Scraper
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Extract product details from Amazon by pasting product URLs. Get titles, prices, ratings, and more in a structured table for quick export and review.
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.
Extract Amazon Product Data InstantlyLeverage Thunderbit's AI to pull product info from Amazon with just a few clicks—no manual copying required.
Install fromChrome Web Store
Extract Amazon Product Data Instantly
Need to analyze or compare Amazon products fast? Thunderbit's Amazon Products Scraper gathers essential product information—like title, price, ASIN, and ratings—directly from product URLs, saving you hours of manual work. Simply paste your list of URLs, and the tool delivers a clean, export-ready table.
This AI-powered solution is perfect for ecommerce research, price monitoring, or building product catalogs. Export your data to Google Sheets, Excel, or Notion with ease, and streamline your workflow with Thunderbit's intuitive interface.
How to Extract Amazon Product Details 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 Thunderbit Chrome Extension in your browser. Select the 'Amazon Products Scraper' tool from the menu. In the provided field, paste one or more Amazon product page URLs (one per line) that you want to extract details from.
STEP 3Click the Extract Product Details ButtonClick the 'Extract Product Details' button. Thunderbit will scrape the product information from each URL and display the results in a structured table. You can then export the data to Excel, Google Sheets, Airtable, Notion, or download it as a CSV or JSON file.
Learn how to extract Amazon product details in seconds
Extract Product Data from Amazon URLs
Paste one or more Amazon product page URLs, and this tool will automatically pull key details such as product title, ASIN, brand, price, rating, number of reviews, availability, shipping origin, and the original URL. This feature is ideal for ecommerce professionals, market researchers, and sellers who need structured product data for analysis, comparison, or inventory management without manual copying.
Organize and Review Data in a Structured Table
The extracted product information is presented in a clear, organized table format. This makes it easy to scan, compare, and review multiple products at once. By automating the data collection and structuring process, users save significant time and reduce the risk of errors that come with manual entry. This is especially useful for teams tracking product trends or monitoring competitors.
Export Product Data to Your Favorite Tools
Once your Amazon product data is collected, you can export it directly to Excel, Google Sheets, Airtable, or Notion. The export options ensure that your data is ready for further analysis, reporting, or integration into your existing workflows. This flexibility is perfect for ecommerce teams, analysts, and business owners who need to keep their product databases up to date.
Monitor Pricing and Availability for Market Insights
Use the tool to regularly check and record product prices, availability, and review counts. This is valuable for ecommerce operations, pricing analysts, and sellers who want to track changes over time or respond quickly to market shifts. By automating this process, you can maintain a competitive edge and make informed decisions based on the latest Amazon data.
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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.
