E-Commerce

Scrape Shopify Store Products into Google Sheets

Extract products, prices, variants, and inventory data from any Shopify store directly into your spreadsheet. Monitor competitor catalogs and track pricing changes with simple formulas.

Google Sheets
A — Input
B — Formula
C — Result
https://store.example.com/products/classic-tee
...
https://store.example.com/products/running-shoes
=SCRAPE_SHOPIFY(A3, "variants")
Size 8 / Black, Size 9 / Black, Size 10 / White
https://store.example.com/products/wireless-earbuds
=SCRAPE_SHOPIFY(A4, "compare_at_price,availability")
$79.99 | In Stock

Use Cases

How professionals use this scraper to get real results

Competitor Pricing

Track product prices across competing Shopify stores over time to spot pricing trends, identify undercut opportunities, and adjust your own pricing strategy.

Product Catalog Monitoring

Build a live catalog of products from any Shopify store. Detect new arrivals, discontinued items, and inventory changes without manually visiting each site.

Market Research

Analyze product assortments, pricing tiers, and variant offerings across an entire niche to identify market gaps and validate new product ideas before launch.

Dropshipping Research

Evaluate potential suppliers and trending products by pulling pricing, variant options, and availability data from thousands of Shopify stores into a single spreadsheet.

14 Data Points You Can Extract

Structured data from Shopify, delivered straight to your cells

Product Title
Price
Compare At Price
Vendor
Product Type
Availability
Handle
Variants
Variant SKUs
Variant Prices
Tags
Description
Image URL
Created Date

Formula Examples

Copy these formulas directly into Google Sheets

Returns the current price of a single product from a Shopify store.

=SCRAPE_SHOPIFY("https://store.example.com/products/classic-tee", "price")

Extracts multiple data points at once -- title, price, vendor, and stock status -- into adjacent cells.

=SCRAPE_SHOPIFY("https://store.example.com/products/classic-tee", "title,price,vendor,availability")

Pulls all variant names and their individual prices, useful for comparing option-level pricing across stores.

=SCRAPE_SHOPIFY("https://store.example.com/products/classic-tee", "variants,variant_prices")

Why Use This Scraper

Built for speed, reliability, and ease of use

Real-Time Shopify Data

Pull live product information from any public Shopify store including prices, variants, and stock status with every spreadsheet refresh.

Bulk Product Extraction

Scrape entire product collections by listing Shopify product URLs in a column and dragging your formula down. No API keys or store access needed.

Variant-Level Detail

Go beyond basic product info -- extract individual variant prices, SKUs, inventory quantities, and option combinations for complete catalog analysis.

Works With Any Shopify Store

Compatible with all public Shopify storefronts regardless of theme, region, or plan. Simply provide the product URL and the data field you need.

How It Works

Three steps to structured data in your spreadsheet

1

Install the Add-on

Install Unlimited Sheets from the Google Workspace Marketplace. Free to get started.

2

Set Your API Key

Add your HasData API key in the add-on settings. Get one free at hasdata.com.

3

Use the Formula

Type =SCRAPE_SHOPIFY() in any cell and get structured data instantly.

Enterprise-Grade Infrastructure

Built to Scrape at Any Scale

Every request passes through battle-tested infrastructure — anti-bot evasion, proxy rotation, CAPTCHA solving, and full browser rendering, all handled automatically.

Anti-Bot Bypass

Automatically evades Cloudflare, DataDome, Akamai, PerimeterX, and other bot detection systems without any extra configuration.

CAPTCHA Handling

Solves CAPTCHAs automatically in the background, so your data extraction never gets stuck waiting for human verification.

Smart Proxy Rotation

Requests are automatically routed through residential and datacenter proxies across 195+ countries. No proxy management on your end.

JavaScript Rendering

Full headless browser rendering for JavaScript-heavy sites built with React, Angular, Vue, or any other framework.

Structured JSON Output

Every response is clean, structured JSON — parsed, normalized, and ready to use. No HTML cleanup or regex needed.

Auto-Retry & Error Handling

Failed requests are automatically retried with exponential backoff. You get data or a clear error — never silent failures.

Effortless Scaling

Scale from a few requests to millions without changing your setup. 99.9% uptime backed by enterprise-grade infrastructure.

WAF & Fingerprint Bypass

Bypasses Web Application Firewalls, IP fingerprinting, and TLS fingerprinting with browser-grade request signatures.

100% Legal & Compliant

We only extract publicly available data, fully compliant with US and EU regulations. No login credentials or private data accessed.

Developer-First Support

Get help directly from the engineers who build and maintain the scrapers. No ticket queues, no outsourced call centers.

Trusted by Data Teams Worldwide

Teams at agencies, startups, and enterprises use Unlimited Sheets to extract structured data at scale.

We replaced three different scraping tools with Unlimited Sheets. Having structured data from Amazon, Google Maps, and Zillow land directly in our spreadsheets saves our team hours every week.
S

Sarah Chen

Growth Lead at DataFirst Agency

The anti-bot bypass actually works. We were getting blocked constantly with other tools, but haven't had a single failed request in months. The proxy rotation is seamless.
M

Marcus Rivera

SEO Manager at Rankify

I track 500+ competitor prices on Amazon every day. Just a column of ASINs and SCRAPE_AMAZON — that's it. No scripts, no Python, no broken scrapers to maintain.
E

Emily Park

E-Commerce Analyst at ShopMetrics

Our real estate team pulls Zillow and Redfin listings into Sheets for market analysis. The data is always structured and ready to use — no cleanup needed.
J

James Thornton

Real Estate Investor at Thornton Capital

We use the Google Maps scraper for lead generation — pulling business names, phone numbers, and ratings directly into our CRM spreadsheet. Game changer for outbound.
P

Priya Sharma

Sales Operations at LeadEngine

The fact that it handles CAPTCHAs and JavaScript rendering under the hood is what sold me. I just write a formula and get data. No infrastructure to worry about.
D

David Kim

Product Manager at Nexus Analytics

Frequently Asked Questions

How do I scrape Shopify product data into Google Sheets?

Install the Unlimited Sheets add-on from the Google Workspace Marketplace, then use the =SCRAPE_SHOPIFY() formula with a Shopify product URL and the data field you want (e.g., "price", "title"). The data is pulled directly into your cell.

Does it work with any Shopify store?

Yes. The scraper works with any publicly accessible Shopify storefront. It reads data from the store's public product pages, so no API keys, passwords, or store owner permissions are required.

How many Shopify products can I scrape at once?

Pro plans include 1,000 scraper credits per month and Business plans include 10,000 credits. Each product data request uses one credit. You can scrape hundreds of products in a single sheet by listing URLs in a column and applying the formula.

Can I extract variant-level data like individual sizes and colors?

Yes. Use the "variants" field to get all variant names, or "variant_prices" and "variant_skus" for pricing and SKU details at the variant level. This is useful for analyzing the full product catalog of a store.

How often is the Shopify product data refreshed?

Data is fetched in real time each time the formula is evaluated. You can trigger a refresh by recalculating the sheet or re-running the formula. Cached results may be served for recently fetched products to optimize credit usage.

Start Scraping Shopify Data Today

Install the free Google Sheets add-on, add your HasData API key, and start extracting structured data in seconds.