ASIN Lookup
ASIN Lookup
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Enter one or multiple ASINs to fetch product title, brand, category, price, and image URL. Validate listings and speed up research with structured results. Errors are shown for invalid or missing ASINs.
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Extract Product Data While You BrowseUse Thunderbit to scrape and extract structured product data from websites in a couple of clicks. Automate collection across pages and export results to your favorite tools.
Install fromChrome Web Store
Extract Product Data While You Browse
Collect product details from ecommerce pages, directories, and listings using Thunderbit’s AI Web Scraper Chrome extension. Click AI Suggest Fields, then Scrape to extract structured data like titles, brands, categories, prices, and image links, even when layouts vary.
Go beyond one page with pagination and subpage scraping, and pull data from subpages, PDFs, docs, and images. Summarize, categorize, and format fields as you extract, then export to Google Sheets, Airtable, or Notion for analysis and workflows.
How to Look Up ASINs 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 from your browser toolbar. In Thunderbit, open the ASIN Lookup tool, then go to the "Enter ASIN(s)" tab. Paste one ASIN or multiple ASINs into the "asins" field, using commas or new lines as separators (for example, B07PGL2ZSL on one line and B08CFSZLQ4 on the next).
STEP 3Click the Lookup ASINs ButtonClick the "Lookup ASINs" button to run the lookup. Thunderbit returns a table with one row per ASIN, including ASIN, Product Title, Brand, Category, Price, Image URL, and a Status / Error column for any invalid or not-found entries. After reviewing the results, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to look up Amazon product details from ASIN codes
Enter ASINs to retrieve product attributes
ASIN Lookup lets you paste one ASIN or a list of ASINs (comma- or line-separated) and return a structured table of product details. It’s built for Amazon sellers, catalog managers, and researchers who need a fast way to verify listings without opening multiple tabs. Use it to confirm product title, brand, category, and other key attributes before analysis, sourcing, or listing updates.
Validate ASINs and flag missing or incorrect entries
When you run a lookup, each ASIN returns a clear Status / Error result alongside the product data. This helps teams clean up spreadsheets, catch typos, and identify ASINs that are unavailable or not found. It’s especially useful for operations and marketplace teams handling large SKU lists, where manual checking leads to missed issues and inconsistent catalog data.
Build pricing and catalog comparison tables
Use the output columns (ASIN, Product Title, Brand, Category, Price, and Image URL) to create a consistent dataset for competitor research, assortment reviews, and listing audits. Ecommerce operators can compare pricing across a set of products, group items by brand or category, and spot gaps in a catalog. The table format also makes it easy to share findings with teammates or plug results into reporting workflows.
Support sourcing, listing QA, and product research workflows
ASIN Lookup is a practical tool for sellers and buyers who need quick product verification during sourcing and due diligence. Check whether an ASIN matches the expected brand and category, capture the image URL for reference, and document the current price for review. For analysts, it provides a repeatable way to turn raw ASIN lists into structured product records for further research and 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