E-commerce & Product Data
Capture catalogs, pricing, ratings and stock from any store — at scale, on a schedule, exported wherever your team works.
Online stores are built to be browsed, not bulk-exported — prices update live, listings paginate forever, and many sites actively block scrapers. Because Prompteryx drives a real browser, product pages render exactly as a shopper sees them, so you get accurate prices, variants, ratings and stock instead of empty HTML.
Whether you're tracking your own catalog across channels or building a competitive dataset, you can collect it at scale, refresh it on a schedule, and land it in the spreadsheet, database or BI tool your team already uses.
The problem
Product data is high-volume, fast-changing and defended. HTTP scrapers miss JavaScript-rendered prices, single-selector tools break on every redesign, and rounding browser time up to whole minutes makes frequent refreshes expensive.
How it works in Prompteryx
Load each product or category page in cloud Chromium with stealth so prices, variants and stock appear exactly as a shopper sees them.
Capture title, price, SKU, rating, review count and availability for every item, looping through pagination.
Standardise currency, units and variants so the dataset is analysis-ready.
Append to Google Sheets, Airtable, a database, or a BI pipeline via the integration hub.
Run hourly or daily; per-second billing keeps frequent refreshes cheap, and each run is recorded for audit.
Start from a working workflow
Web Data Scraper
Walk a category, extract each product card's fields, and append rows to a sheet — the catalog backbone.
Price Monitoring & Alerts
Track a product's price over time and fire a Slack alert when it crosses your threshold.
See it in Prompteryx
Why Prompteryx for this
Any site, no API
Because it's a real browser, it works on stores that offer no data feed and on JavaScript-heavy pages that defeat HTTP scrapers.
Per-second pricing
Catalog refreshes are short and frequent — billing by the second instead of the whole minute makes high-cadence monitoring genuinely affordable.
Self-healing selectors
Ranked fallback selectors keep extraction working across the markup differences between categories and seasonal redesigns.
Recorded for audit
Every run is captured as video with a full log, so a surprising price point can be verified, not disputed.
Real-life examples
Track 200 competitor SKUs twice a day and write a price-history sheet for the merchandising team.
Check resellers against minimum advertised price and flag violations to Slack the moment one appears.
Monitor which products competitors carry and when they go out of stock, feeding a weekly assortment report.
Frequently asked questions
Can it scrape stores that block bots?
Yes. Runs use a real, stealth-configured browser with optional residential proxies and CAPTCHA solving, so pages render as they do for a genuine shopper.
How often can I refresh the data?
As often as you like. Because cloud browser time is billed by the second, even hourly refreshes across many products stay inexpensive compared with whole-minute pricing.
Where can the product data go?
Google Sheets, Airtable, a database, Slack, or any of 3,000+ connected apps — and you can transform it with AI in the same workflow before it lands.