Build and monitor
product data at scale.
Extract accessible product catalogs, prices, variants, stock, reviews, and merchandising details into Google Sheets, then keep the dataset useful.
Works with Google Sheets · Preview before writing · No code requiredDiscover product pages and collect title, SKU, brand, category, price, availability, image, and URL.
1product catalogcomplete
2price & stockcomplete
3merchandisingready
SheetSteps does the repetitive browser and spreadsheet work.
You stay in control of the decisions.
You start with rows in Google Sheets—usually URLs, records, or text. You tell SheetSteps what a useful finished row should contain. It tests the instruction on a small sample, shows the proposed columns, and only runs the larger job after you approve it.
Comparable values and change history
Images, descriptions, variants, ratings
Assortment and positioning compared in columns
What SheetSteps AI does
for this work.
These are real capabilities in the product, combined into a workflow for this profession.
Product scraping
Extract product, variant, price, stock, rating, and image fields.
Catalog intelligence
Normalize categories, enrich descriptions, and compare assortments.
Batch workflows
Process large product lists with row-level status and retries.
Price monitoring
Rerun saved recipes and isolate price or availability changes.
Start with the job
you already do.
You do not need to redesign your process around AI. Begin with one slow, repetitive part of the workflow and keep the result in a familiar spreadsheet.
Catalog creation
Discover product pages and collect title, SKU, brand, category, price, availability, image, and URL.
Price monitoring
Recheck selected products and record which prices, promotions, or stock states changed.
Assortment research
Compare competitor categories, product counts, price bands, variants, ratings, and messaging.
Marketplace cleanup
Normalize supplier or marketplace exports before importing them into another system.
What goes in.
What comes back.
Each step stays visible, so a teammate can understand the workflow without reverse-engineering a script.
- 1Input
- Collection page, sitemap, or product URL list
- 2Extract
- SKU, title, price, stock, images, variants, rating
- 3Process
- Normalize currency, classify, compare, detect change
- 4Output
- Catalog, monitor, or research table in Sheets
Your first useful workflow
in four understandable steps.
- 01
Find product URLs
Start from collections, category pages, sitemaps, or a prepared list.
- 02
Select product fields
Choose the product details you need and how variants should be represented.
- 03
Test the storefront
Preview one normal product, one sale item, and one unavailable item.
- 04
Run and refresh
Build the catalog, review failures, and reuse the recipe when the data needs updating.
Start with a tested formula.
Turn it into a recipe when it works.
These SheetSteps AI templates are selected specifically for this Solution. Copy one into Google Sheets, customize it, or run it across a previewed batch.
Product description
Create clear, benefit-led product copy.
=SHEETSTEPS_AI(A2,"Write a concise product description with three benefits.")Product categorizer
Assign products to a fixed catalog taxonomy.
=SHEETSTEPS_CLASSIFY(A2,"Apparel, Home, Beauty, Electronics, Other")Review insights
Extract sentiment and the main customer issue.
=SHEETSTEPS_EXTRACT(A2,"sentiment, primary_issue")Product page extractor
Collect price, stock, SKU, rating, and image.
=SHEETSTEPS_WEB_EXTRACT(A2,"price, stock, sku, rating, image")Use a ready-made Sheet
as your starting point.
Copy a template, add your own rows, then use SheetSteps AI when you need to research, clean, analyze, or update the workbook.
Ecommerce Profit Calculator
Ecommerce Profit Calculator with a purpose-built transactions tab, live totals and example rows for store owners.
Total$18,460View free template →EcommerceProduct SKU Tracker
Product SKU Tracker with a purpose-built stock records tab, live totals and example rows for store owners.
Items118View free template →EcommerceOrder Fulfillment Tracker
Order Fulfillment Tracker with a purpose-built working records tab, live totals and example rows for store owners.
Records26View free template →EcommerceShopify Sales Dashboard
Shopify Sales Dashboard with a purpose-built transactions tab, live totals and example rows for store owners.
Total$18,460View free template →Questions about
SheetSteps for Ecommerce.
Clear answers about how the workflow works, what data it can use, and where a person remains in control.
Can SheetSteps scrape Shopify and other ecommerce websites?+
SheetSteps can extract accessible public product pages from many storefronts, including JavaScript-rendered pages when needed. Results depend on the site’s structure, access controls, and terms.
Can I monitor product prices and stock?+
Yes. Save a reviewed extraction recipe, rerun it for the same product URLs, and compare the latest values with the previous result. Changed rows can be isolated for review.
How are product variants handled?+
You can keep one row per product with variant information grouped into fields, or create separate rows for variants when the page exposes the required data.
Do I need to write code or know web scraping?+
No. Describe the information you need in ordinary language, select suggested fields, and test one example. Advanced users can still use selectors and more precise extraction rules when needed.
Will SheetSteps change my source spreadsheet automatically?+
No. SheetSteps shows a preview before writing results. You choose the destination columns, review a sample, and approve the run. Existing source cells remain protected unless you explicitly choose to update them.
Does SheetSteps work inside Google Sheets?+
Yes. The Google Sheets add-on can use selected cells as inputs, preview new columns, run larger jobs in the background, and write reviewed results back into the same workbook.
Put one real ecommerce workflow
into SheetSteps AI.
Start with a small sample. Keep the output understandable. Scale only after the result looks right.
Build a product scraper →