Extract repeated product rows fast
Capture titles, prices, stock signals, SKUs, and visible attributes from repeated product-card layouts without rebuilding selectors.
Product Catalog Scraper
Capture product catalog data from listing pages without selector maintenance
DataLens helps merchandising, sourcing, and research teams turn product listing pages into structured catalog exports. Use it to capture titles, prices, seller labels, and visible product attributes from repeated listing layouts inside the browser.
Use this page as a starting point for the full workflow: collect the source, clean the table, analyze the patterns, and keep the exportable file together.
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AI scraping workbench
Collect, clean, and deliver without rebuilding the workflow.
DataLens keeps the messy browser step, the structured table, and the exportable files together so analysts, operators, and growth teams can move from live pages to decisions faster.
Collect
Capture live page evidence
Open the source in Chrome and let DataLens detect repeated rows, links, images, comments, or listings on the page you are already viewing.
Clean
Shape messy fields into a table
Use the AI scraping workbench to normalize labels, preserve source context, and keep raw rows beside the cleaned dataset for review.
Deliver
Export files people can use
Send CSV, Excel, JSON, or a research report to the team without stitching together screenshots, scripts, and disconnected spreadsheets.
Useful for assortment and catalog monitoring
Collect catalog snapshots when teams need to compare product ranges, seller mixes, or listing completeness across sites.
Export structured catalog data on demand
Review the extracted product fields and export the final catalog snapshot to Excel, CSV, or JSON for downstream analysis.
Real-world use cases
Collect marketplace and category-page product listings for merchandising and sourcing workflows.
Monitor visible catalog changes such as titles, prices, seller labels, and stock indicators.
Build structured catalog datasets for spreadsheet review or downstream tooling.
How it works
- 1
Open the product grid, collection page, or marketplace results you want to capture.
- 2
Use DataLens to detect repeated product rows and the fields that matter such as title, price, and seller.
- 3
Validate the extracted product catalog and export it to Excel, CSV, or JSON.
Frequently asked questions
Use these questions to decide how a live website becomes an AI scraping workflow.
What can a product catalog scraper capture?
Typical fields include product title, price, SKU or variant labels, seller labels, ratings, stock signals, and other repeated listing attributes visible on the page.
Can I export product catalog data to Excel?
Yes. DataLens supports catalog exports to Excel, CSV, or JSON after you review the detected fields.
Does this work on paginated product grids?
Yes. DataLens can combine repeated product-row detection with pagination handling so longer product catalogs can be captured in one workflow.
Related workbench workflows
Compare adjacent collection paths by source, export format, and team job.
Website to Excel
Convert any website to Excel without writing selectors
Export website tables, listings, comments, and paginated results into clean Excel files without manual selectors.
Scrape Paginated Websites
Scrape paginated websites without rebuilding selectors on every page
Collect data across next-page flows, directory pagination, and multi-page listings without touching a scraping rule.
Ecommerce Price Scraper
Monitor ecommerce prices and product data without maintaining scraper code
Extract prices, stock levels, product descriptions, and listing data from ecommerce pages. Export to Excel, CSV, or JSON.