Structured product data
UPC Lookup
Look up product details by UPC to verify items and compare listings. Get names, brands, manufacturers, categories, and images in one search.
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 Product Data from Any SiteUse Thunderbit to scrape product pages fast and turn messy listings into structured fields with a few clicks. Automate collection across pages and exports.
Install fromChrome Web Store
Extract Product Data from Any Site
Collect product details from websites, catalogs, and marketplaces with Thunderbit’s AI Web Scraper Chrome extension. Scrape listings, follow subpages for richer attributes, and pull data from PDFs, docs, and images into a clean table you can review.
After extraction, Thunderbit can summarize, categorize, and format fields for consistent analysis. Export results to Google Sheets, Airtable, or Notion to compare items, validate listings, and keep your product research up to date.
How to Look Up UPC 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 open the UPC Lookup tool. In the "Enter a UPC Code" tab, enter a numeric UPC code (typically 12 digits) in the "upc" field, such as 012345678905. Confirm the code contains only numbers before running the lookup.
STEP 3Click the Look up UPC ButtonClick the "Look up UPC" button to run the search. Thunderbit returns a table of results that can include Product Name, Brand, Manufacturer, Category, Description, and Product Image URL. If no match is found, review the UPC for typos and try again. When the results look correct, export the table to Excel, Google Sheets, Airtable, or Notion, or download it as CSV or JSON.
Learn how to look up product details by UPC code
Search product information by UPC
UPC Lookup lets you enter a numeric UPC (typically 12 digits) to retrieve structured product details in one place. It returns key fields like Product Name, Brand, Manufacturer, Category, Description, and a Product Image URL. This helps ecommerce operators, retail teams, and analysts verify what a barcode represents without manual searching across multiple sites.
Standardize product data for accuracy
Use UPC Lookup to reduce mismatches between listings, supplier catalogs, and internal inventory records. By pulling consistent fields tied to a UPC, teams can confirm brand and manufacturer, spot duplicate items, and validate product identity during onboarding. It is also useful when a UPC returns no match, since the tool provides a clear not-found result for follow-up.
Build product catalogs and enrichment workflows
Teams can use the table output to enrich SKU lists, create new catalog entries, or fill missing attributes for marketplace listings. The Product Image URL supports merchandising and content QA, while Category and Description help with taxonomy and search optimization. This workflow fits ecommerce operations, marketplace sellers, and PIM teams managing large product sets.
Support audits, authenticity checks, and comparisons
UPC Lookup is useful for retail audits, receiving, and compliance checks where staff need to confirm that packaging and barcodes match the expected product. It also supports competitive research by letting analysts compare items across brands using a common identifier. When paired with Thunderbit exports to Excel, Google Sheets, Airtable, or Notion, results can be shared and tracked across teams.
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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.
