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Amazon Price Scraper

Amazon Price Scraper

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Extract initial price, final price, and brand from Amazon product pages. Save time collecting pricing data for analysis or comparison.

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

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Scrape Amazon Prices in SecondsUse Thunderbit to quickly extract product prices and brand info from Amazon with just a URL. No manual copying required.
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Scrape Amazon Prices in Seconds

Thunderbit’s Amazon Price Scraper lets you pull initial price, final price, and brand details from any Amazon product page in just a few clicks. Simply enter the product URL and get structured data ready for your analysis or reporting—no coding or complex setup needed. Thunderbit’s AI-powered web scraper can also handle subpages, PDFs, and images, and export your results to Google Sheets, Airtable, or Notion. Organize, summarize, and format your Amazon data for price tracking, competitor research, or inventory management.

How to Scrape Amazon Product Prices 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 Amazon product page you want to analyze. Open the Thunderbit Chrome Extension and select the 'Amazon Price Scraper' tool from the menu. Paste the Amazon product URL into the provided field.
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STEP 3Click the Scrape Amazon Price ButtonClick the 'Scrape Amazon Price' button. Thunderbit will extract the initial price, final price, and brand information from the product page and display the results in a table. You can export this data to Excel, Google Sheets, Airtable, or Notion as needed.

Learn how to extract Amazon product prices and brand information

Scrape Product Prices from Amazon

The Amazon Price Scraper allows you to quickly gather both the initial and final prices of any product listed on Amazon. By simply entering the product URL, you receive structured pricing data in a table format. This tool is ideal for ecommerce professionals, price analysts, and anyone tracking product pricing trends. It eliminates the need for manual price checks, helping you monitor changes and make informed decisions efficiently.
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Capture Brand Details Automatically

In addition to pricing, the tool extracts the brand name associated with each Amazon product. This feature is especially useful for market researchers, brand managers, and resellers who need to compare offerings across different brands. By automating the collection of brand data, you can streamline your product research and ensure your records are accurate and up to date.
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Export Data for Analysis and Reporting

Once the Amazon product data is scraped, you can export the results as a table for further analysis. The output is compatible with Excel, Google Sheets, Airtable, and Notion, making it easy to integrate into your existing workflow. This capability is valuable for teams who need to track price changes over time or generate reports for business intelligence purposes.
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Monitor Competitor Pricing with Ease

Use the Amazon Price Scraper to keep an eye on competitor pricing and brand positioning. By regularly collecting price and brand data, ecommerce teams can adjust their own pricing strategies and stay competitive in the market. This tool is also helpful for vendors and sellers who want to ensure their products are priced appropriately relative to similar items on Amazon.
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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
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