Amazon product research tool
Find high-potential Amazon products using keyword, category, or ASIN research. Compare demand, competition, pricing, and estimated sales to validate ideas. Make faster, data-driven sourcing decisions.
About this tool: Build precise Amazon search queries with filters and open them on Amazon directly. All results are real listings from Amazon — no AI-generated data.
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.
Find Product Data Faster with ThunderbitUse Thunderbit to scrape Amazon listings and related pages, then extract structured product data in a few clicks. Automate collection across pagination and subpages for quicker research.
Install fromChrome Web Store
Find Product Data Faster with Thunderbit
Collect product listings, prices, ratings, reviews, and seller details from Amazon and other ecommerce sites using Thunderbit’s AI web scraper. Scrape pagination, visit subpages to enrich each row, and extract data from PDFs, docs, and images into clean, structured tables.
Summarize, categorize, and format fields as you scrape, so your research is ready to use right away. Export results to Google Sheets, Airtable, or Notion, and keep datasets fresh with scheduled scraping for ongoing market monitoring.
How to Research Products 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 Chrome and click the Thunderbit extension icon to launch Thunderbit. In the tool list, select the Amazon Product Research Tool. Choose the tab that matches your workflow: "Search by Keyword" to enter a keyword and optional filters (category, price range, estimated monthly sales, review count, and rating), "Search by ASIN" to evaluate a single product by ASIN, or "Search by Category" to explore opportunities within a category with optional filters.
STEP 3Click the Research products ButtonClick the "Research products" button to run the analysis. Thunderbit returns a table of matching products with fields such as Product Title, ASIN, Category, Price, Estimated Monthly Sales, Number of Reviews, Average Rating, Competition Score, and a Market Trend Summary. Review the results, then export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to research Amazon products by keyword, category, or ASIN
Find product opportunities with targeted search
Use the Amazon Product Research Tool to discover products that match your strategy by searching with a keyword, browsing a category, or evaluating a specific ASIN. It returns a structured list of matching products so you can compare options side by side. This is built for Amazon sellers, ecommerce operators, and product teams who want a faster way to move from ideas to a shortlist worth validating.
Filter and compare products using seller-focused metrics
Narrow results with practical filters like price range, estimated monthly sales, review count, and rating to focus on products that fit your margin and demand targets. Each result includes key fields such as price, estimated sales, reviews, rating, and a competition score, helping you spot high-demand items and avoid crowded listings. This reduces manual tab switching and keeps decisions grounded in consistent criteria.
Validate demand and competition before sourcing inventory
Use the output table to qualify product ideas before you spend time on supplier outreach or listing work. Sort by estimated monthly sales to gauge demand, then cross-check competition score, review volume, and rating to understand how hard it may be to enter the niche. The market trend summary and graphs help you identify whether a product is growing, stable, or declining, supporting better timing decisions.
Build repeatable research workflows and share results with your team
Turn research into a repeatable process by running the same searches across multiple keywords or categories and keeping results in a consistent table format. Share findings with partners or teammates by exporting the product list to tools like Excel, Google Sheets, Airtable, or Notion for scoring, prioritization, and sourcing follow-up. This is useful for agencies, brand teams, and operators managing multiple product lines.
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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.
