Extract product fields
Collect product names, SKUs, prices, images, URLs, and related visible data from listing pages.
Paste an ecommerce category, collection, brand, sale, or search-results URL. FlowScrape extracts visible product data, cleans it, checks export quality, and generates files you can review or import into Shopify.
FlowScrape reads visible ecommerce listing pages and turns the product data into reviewable files for import, cleanup, migration, and enrichment.
Collect product names, SKUs, prices, images, URLs, and related visible data from listing pages.
Normalize rows, flag missing fields, and separate import-ready products from rows that need review.
Download clean CSV files, platform-ready CSVs, issue lists, quality reports, and structured JSON.
Prepare product data for Shopify imports, merchandising updates, and product feed cleanup.
Reduce manual copy and paste when cleaning supplier or marketplace product information.
Move client catalog data faster during migrations, rebuilds, and ongoing data cleanup projects.
The product data package gives you multiple review and import formats from the same run.
A normalized spreadsheet for review, custom imports, and cleanup.
A Shopify-oriented product CSV for import prep and catalog migration workflows.
A BigCommerce-oriented CSV for teams moving or cleaning catalog data.
A list of warnings, missing fields, and cleanup recommendations.
A readable summary of products found, import-ready rows, blocked rows, and top issues.
Structured product data for enrichment, classification, cleanup, and AI workflows.
FlowScrape is not limited to Shopify. It can also support BigCommerce imports, supplier onboarding, marketplace cleanup, and migration projects where catalog data needs to be reviewed before it moves.
Collect visible product data from a source storefront before rebuilding or moving a catalog.
Use the issues CSV and quality report to prioritize missing images, prices, SKUs, and product URLs.
FlowScrape creates structured product data that can be fed into AI tools for enrichment, cleanup, classification, tagging, product grouping, and QA workflows.
Use extracted product data as a starting point for descriptions, tags, and merchandising attributes.
Send structured rows into LLM workflows for category mapping and product grouping.
Give AI tools consistent product fields instead of raw page text or copied fragments.
FlowScrape is a product data extraction tool for ecommerce teams. It turns ecommerce listing pages into clean CSV files for Shopify, BigCommerce, catalog cleanup, product feed creation, and AI enrichment.
FlowScrape is for ecommerce teams, marketers, catalog managers, agencies, and operators who need to clean or migrate product data faster.
FlowScrape can generate a clean CSV, Shopify-ready CSV, BigCommerce-ready CSV, issues CSV, and LLM-ready JSON.
Yes. FlowScrape creates structured product data that can be used for enrichment, cleanup, classification, and LLM workflows.
Yes. FlowScrape reduces manual copying from ecommerce category pages by extracting visible product names, SKUs, prices, images, URLs, and related product data.
Start with the Product Data Package and paste a category, collection, sale, brand, or search-results URL.
Generate Shopify-ready and BigCommerce-ready CSVs, quality reports, issue lists, and LLM-ready JSON from one ecommerce listing URL.