Amazon Keyword Tool
Amazon Keyword Tool
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Generate Amazon keyword ideas from a seed phrase. Use them to optimize titles, bullets, and backend terms. Improve visibility with buyer-focused search terms.
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Automate Amazon Keyword Research FasterUse Thunderbit to scrape Amazon results and related pages, then extract structured keyword and product data for quick analysis. Export to Sheets, Airtable, or Notion in a few clicks.
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Automate Amazon Keyword Research Faster
Collect keyword and product insights by scraping Amazon search results, listings, and related subpages, plus PDFs, docs, and images when needed. Thunderbit structures the data, then helps you summarize, categorize, and format it into analysis-ready tables.
Export your extracted datasets to Google Sheets, Airtable, or Notion for tracking, filtering, and collaboration. Use subpage and pagination scraping to scale research across many result pages with minimal setup.
How to Generate Amazon Keywords 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 ExtensionOpen the Thunderbit Chrome Extension, then go to the Amazon Keyword Tool and select the "Generate Amazon Keywords" tab. Enter your seed keyword (for example, "wireless earbuds"), choose the marketplace (such as US, UK, or DE), set the language, and specify the maximum number of results you want (for example, 100).
STEP 3Click the Generate keywords ButtonClick the "Generate keywords" button to create a table of keyword suggestions. Review the output columns, including Keyword, Search Volume (Estimate), Competition Level, and Relevancy Score. When you are ready to use the results, export the table as a CSV or copy the data into your workflow for listing optimization.
Learn how to generate Amazon SEO keywords from a seed phrase
Generate buyer-intent Amazon keywords
Enter a seed keyword and the Amazon Keyword Tool produces a structured list of related search terms shoppers use on Amazon. It balances head terms with long-tail phrases that include attributes like features, compatibility, and use cases. This helps Amazon sellers, brand owners, and agencies expand keyword coverage without manual brainstorming, so listings can better match real queries and capture more relevant traffic.
Tailor keyword research by marketplace and language
Choose a marketplace such as US, UK, DE, or JP and a language to align suggestions with local search behavior. This is useful for teams managing multiple Amazon regions, launching in new countries, or translating listings with accuracy. You can also set a maximum number of results to control output size for quick audits or deeper research, depending on your workflow.
Prioritize keywords with volume, competition, and relevancy signals
Each keyword is returned in a table with estimated search volume, competition level, and a relevancy score, making it easier to sort and decide what to use where. Use high-relevancy terms for titles and key bullets, and place supporting long-tail phrases in descriptions and backend search terms. This structure helps reduce guesswork and supports consistent optimization across many SKUs.
Export keyword lists for listing optimization and team workflows
Download the results as a CSV or copy the table into your existing planning documents. Ecommerce operators can map keywords to product pages, track which terms are already covered, and build a repeatable process for new launches. Agencies can share keyword sets with clients, while in-house teams can maintain a keyword library per category, marketplace, and product line for ongoing iteration.
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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