Managed Data Extraction

Shopify Store Data Scraping

Extract public Shopify store product catalogs, variants, prices, categories, and availability with managed delivery.

Managed Extraction
Public Data Only
Cleaned & Deduplicated
Multiple Formats
Manual QA Review

Managed Workflow

Built around your data request

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Public Data Only

Lawful, publicly available sources

Quality Assured

Cleaned, deduplicated, reviewed

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Ready to Use

CSV, Excel, JSON, Google Sheets

What's Included

End-to-End Managed Data Extraction

Every service page is generated from structured content and includes scoping, extraction, cleaning, QA, and delivery.

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Scoping & Planning

We review the source, approved fields, output structure, timeline, and delivery format before starting.

Managed Extraction

We build and run an extraction workflow tailored to the approved public sources and data requirements.

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Data Cleaning

We normalize columns, standardize formats, and remove malformed or incomplete values where possible.

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Deduplication & QA

Deliveries are reviewed for duplicates, missing fields, inconsistent naming, and unexpected row counts.

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Formatted Delivery

Receive your dataset in CSV, Excel, JSON, Google Sheets-ready, or another agreed format.

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Recurring Support

For recurring work, we keep the schema stable so new files can be compared, appended, or imported.

Who This Is For

Built for Business Teams That Need Data

This service is for eCommerce teams, brands, agencies, market researchers, catalog teams, and pricing analysts that need public Shopify storefront data without building internal extraction workflows.

It is useful for competitor catalog research, assortment analysis, product enrichment, price monitoring, and market mapping across Shopify-powered stores.

Data Types

What Data Can Be Collected

The exact fields depend on source structure, public availability, compliance review, and intended business use.

Shopify projects can collect public product names, handles, URLs, prices, compare-at prices, variant options, SKUs when visible, availability signals, collection names, tags, descriptions, image URLs, and other visible storefront fields.

Scraping Geek does not collect private store admin data, login-protected data, checkout data, payment data, or restricted information. Every project is reviewed before acceptance.

Product title Product URL Store URL Collection Product handle SKU when available Price Compare-at price Availability Variant options Description Tags Image URL Source URL
Use Cases

How Businesses Use This Service

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Catalog collection

Extract public product catalogs from selected Shopify storefronts.

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Variant analysis

Collect size, color, SKU, price, and availability fields when visible.

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Competitor research

Compare assortments, categories, and public pricing.

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Product enrichment

Add public descriptions, image URLs, and category fields to internal records.

Deliverables

Clean Data, Your Way

Every dataset is cleaned, structured, and delivered in the format your team prefers.

Scraping Geek can deliver Shopify product datasets as CSV, XLSX, or JSON with variant-level rows, normalized price fields, and source URLs.

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CSV
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XLSX
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JSON
How It Works

Our Process

A streamlined workflow from request to delivery.

Review

We review store URLs, public accessibility, product scope, and requested fields.

Scope

We define collection coverage, variant handling, output columns, and delivery format.

Extract

We collect approved public product and storefront data.

Clean

We normalize variants, prices, URLs, categories, and duplicate products.

Deliver

We provide the finished dataset in the requested format.

Quality Assurance

Quality Checks on Every Delivery

Shopify datasets are checked for duplicate products, inconsistent variant rows, malformed prices, missing product URLs, and empty critical fields.

When variant-level data is requested, Scraping Geek checks that variant rows remain linked to the parent product.

Compliance

Responsible Data Collection

Every Shopify scraping request is reviewed before acceptance. Projects must be based on client-provided public store URLs, collection URLs, product URLs, categories, or listings from lawful sources.

We do not access private admin areas, customer records, checkout data, login-protected data, sensitive data, or payment information.

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Public Data Only

Lawful, publicly available sources

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Project Review

Every project assessed before start

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No Private Data

Login-protected content excluded

Careful Scope

Requests may be limited or declined

FAQ

Frequently Asked Questions

Yes, when variant information is publicly visible and suitable for extraction.

Yes. Multiple public store URLs can be reviewed and normalized into one output schema.

Public image URLs can usually be included when visible on product pages.

No. Scraping Geek is a managed extraction service that delivers datasets.

Get Started

Request a Shopify Store Data Scraping Quote

Tell us about your project. We'll respond within 24 hours.

Example: business listings, product data, prices, reviews, job postings, real estate listings, or another public dataset.
List the columns you want in the delivered dataset, such as name, URL, category, price, address, phone, rating, or source URL.
An estimate is enough, such as 500 records, 10,000 products, all listings in selected cities, or not sure yet.
Share the target delivery date or timing, if one exists.
Describe the project, source context, delivery expectations, filters, and any important requirements.
Optional. Upload a sample input, desired output format, or reference file. Do not upload private or sensitive data.
24-Hour Response
🔒 No Obligation
📄 NDA Available
Free Scoping