Flowscrape captures the page you reviewed, runs a controlled extraction workflow, and returns normalized product records with titles, prices, variants, SKUs, and related fields in JSON or CSV format.
Capture the reviewed page first so extraction always starts from a known, inspectable input.
Run extraction in the same structured flow every time instead of relying on one-off scripts and brittle spreadsheet fixes.
Export titles, prices, variants, SKUs, and related fields in JSON or CSV for QA, imports, and operations.
Built for teams who need reliable product data from real pages — fast, repeatable, and reviewable.
If you want a hands-off magic box, you’ll hate this. Flowscrape is designed for review and control.
Same goal: usable product data, but with fewer brittle steps and more accountability.
A structured workflow that moves every storefront through analyze → capture → extract → preview, turning raw page HTML into review-ready product data with a consistent operating model.
Less manual scraping. Less spreadsheet cleanup. More confidence in every extraction run.
Request early access, or try App Lite now to test the workflow before signing up.
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Up to 5,000 products per billing period.
Designed for smaller catalogs, pilot workflows, and recurring export jobs with tighter volume limits.
Up to 10,000 products per billing period.
For teams that need more headroom across multiple storefront categories or larger recurring batches.
Up to 25,000 products per billing period.
For higher-capacity product extraction where reviewable data quality still matters.
Select a plan to start checkout.
Every storefront follows the same path from raw HTML to usable output, making extraction easier to review, repeat, and hand off.
Inspect page structure and identify the URLs or listings that should feed the extraction run.
Store a verified page capture so the extraction input is traceable and can be reviewed later.
Run the extraction job to normalize titles, prices, variants, SKUs, and related product fields.
Review the output, verify key fields, and export JSON or CSV once the dataset is ready.