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Shopify Scraper

Shopify Scraper

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Extract product data from public Shopify stores and build clean datasets for research, pricing, and competitor tracking.
Enter Shopify Store URL
Paste Parameters

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

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Scrape Shopify Stores With EaseUse Thunderbit to pull product titles, prices, images, and inventory data from Shopify stores with a few clicks. Automate collection from product pages and export clean results fast.
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Install fromChrome Web Store

Scrape Shopify Stores With Ease

Thunderbit helps you scrape product data from Shopify stores, including subpages, PDFs, docs, and images, then organize it into structured fields for analysis. You can also summarize, categorize, and format the extracted data before exporting it to Google Sheets, Airtable, or Notion. Use it to monitor prices, track stock, and collect competitor catalog data without manual copy paste. Thunderbit makes website scraping and data extraction simple for sales, ecommerce, and research teams.

How to Scrape Shopify Products 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 ExtensionGo to a public Shopify store URL that you want to scrape. Open the Thunderbit Chrome Extension, then choose the Shopify scraper tool. In the Enter Shopify Store URL tab, paste the full store link. If you want to narrow the results, switch to Paste Parameters and add details such as a product count or a category filter.
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STEP 3Click the Scrape Shopify Products ButtonClick the Scrape Shopify Products button. Thunderbit will collect product titles, descriptions, prices, images, and inventory status into a structured table. When the scrape is finished, review the results and export them to CSV or JSON for analysis or reporting.

Learn how to scrape Shopify product data

Extract Shopify Product Details

This Shopify scraper pulls product titles, descriptions, prices, images, and inventory status from public Shopify stores. It helps teams avoid manual copying and turn store pages into a clean table of product data. It is useful for ecommerce operators, analysts, and researchers who need structured product information for comparison, reporting, or catalog building.
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Capture Product Data from Store URLs

Enter a public Shopify store URL and Thunderbit reads the site to build a structured dataset from the available product pages. You can also add simple instructions such as how many products to gather or which category to focus on. This saves time on repetitive browsing and reduces errors from manual collection.
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Export Product Data to Your Workflow

Once the products are scraped, you can download the results as CSV or JSON for analysis or share them with your team. The output is organized into columns for product title, description, price, images, and inventory status, making it easy to import into spreadsheets, reporting tools, or internal databases.
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Use Shopify Scraping for Research and Monitoring

This tool is well suited for competitor analysis, market research, and product tracking across public Shopify stores. Ecommerce teams can review pricing, catalog changes, and stock status without checking each page by hand. It also helps researchers collect product data from many stores in a consistent format for faster comparison.
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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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