Price monitoring
Track list and sale prices across public product pages and record every change with a timestamp, so pricing history is something you can query instead of reconstruct.
- price
- currency
- timestamp
Collect structured public-web data at scale for price monitoring, product availability, catalog intelligence, regional comparison, market research, and competitive analysis.
Every record can carry
Wireless Controller
SKU WC-4471-BLK · retailer.example/p/wireless-controller
| Region | Reading | Stock | Time |
|---|---|---|---|
| GBUnited Kingdom | £59.99In stock | In stock | 09:14HTTP |
| USUnited States | $64.99In stock | In stock | 09:14HTTP |
| DEGermany | €62.90In stock | In stock | 09:15Browser |
| AEUnited Arab Emirates | AED 239Low stock | Low stock | 09:15Browser |
Changed values are struck through and rewritten, not silently replaced.
Shield Scraper collects structured data from public websites, most often e-commerce and retail, for pricing, stock, catalog, and market analysis.
Track list and sale prices across public product pages and record every change with a timestamp, so pricing history is something you can query instead of reconstruct.
Watch in-stock, low-stock, and out-of-stock signals for each product and variant.
Bring titles, SKUs, variants, and metadata from many public catalogs into one consistent schema.
Turn public listings into datasets for category analysis, assortment tracking, and competitive benchmarking.
Compare price and availability for the same product across countries and currencies, as local shoppers see them.
Detect when a public page's price, availability, or content changes and record what changed.
Typical ways teams put structured public-web data to work. These are illustrative scenarios, not customer case studies.
What they doTracks competitor prices on public product pages across several regions, on a schedule.
What they getA dated price history for each product and region, delivered to their own dashboard.
What they doWatches price and stock on competing listings so restocking and repricing use current information.
What they getEmail alerts and a record each time a listing's price or availability changes.
What they doCollects titles, SKUs, variants, and prices from public catalogs to study a whole category.
What they getOne consistent dataset instead of pages of HTML to clean up.
What they doFeeds structured product data into internal models, reports, and pricing tools.
What they getTimestamped JSON records, each tied to its source URL.
A publicly accessible listing, the same page a shopper sees.
Collected over HTTP, or in a managed browser session where the page needs one.
One consistent schema, timestamped and tied to its source URL.
Delivered to your database, dashboard, or API.
Every collected record arrives as structured JSON, ready for a database, a dashboard, or an API, with no HTML to parse.
Illustrative example. Fields vary by source and project.
| Field | Example value |
|---|---|
| product | Wireless Controller |
| region | GB |
| price | 59.99 |
| currency | GBP |
| availability | in_stock |
| sku | WC-4471-BLK |
| variants | ["Black", "White"] |
| source_url | retailer.example/p/wireless-controller |
| checked_at | 2026-09-26T09:14:02Z |
Some workloads only need a standard HTTP request. Others need a browser to render the page. Shield Scraper supports both, so each source is collected in the simplest way that returns accurate data.
Where a page serves its data directly, lightweight HTTP requests collect it quickly and efficiently, with no browser required.
Managed browser sessions for collecting data from modern JavaScript-rendered websites, including pages that need normal browser interaction to display their content.
Proxy infrastructure is used to collect from multiple regions, so prices, currencies, and availability can be compared the way local shoppers see them. Built for regional market research.
Retail is where structured public-web data does the most work. Shield Scraper collects from any public website, with specialty, purpose-built support for select marketplaces such as Daraz.lk.
Collection at scale needs guardrails. These controls let us identify who is using the platform, limit what they can do, and act on one customer without affecting the rest.3
Every account is tied to an identified customer.
Settings are scoped to each project, not the whole account.
Requests are logged so activity can be investigated.
Volume and patterns are monitored for anomalies.
The domains a project may collect from can be restricted.
Request rates can be capped per project.
Access credentials can be rotated or revoked.
Individual customers can be suspended without affecting others.
Problematic targets can be restricted.
Abuse reports are reviewed and investigated.
We work with upstream infrastructure providers when they raise a concern.
Seen something that looks like abuse? Write to abuse@shieldscraper.com.
Shield Scraper is in private beta and open to invited teams only. Request access and tell us about your use case.
Tell us what you want to collect and from where. If you already have an invite code, add it to the form.
We look at every request, and may ask about your use case before inviting you.
Approved teams are invited into the beta and set up with us.
Beta access is free to request. Terms for invited teams are agreed with us directly.
Request accessAlready have an invite? Add your invite code on the form.
Shield Scraper is in private beta and open by invitation only. Request access with the form and tell us about your use case; if you already have an invite code, include it on the form. We review every request.
Shield Scraper collects structured data from public websites — prices, stock status, SKUs, product titles, variants, availability, regional differences, and other product metadata — and delivers it as consistent, timestamped records.
Both. Some sources serve their data directly and are collected with standard HTTP requests. Others render data with JavaScript or need normal browser interaction, and those run in managed browser sessions. We use the simplest method that returns accurate data.
It depends on what is collected, from where, and how it is used, and the answer differs by jurisdiction. Shield Scraper is built for public-web data collection and business intelligence, and we do not claim every use case is lawful or permitted. Customers are expected to comply with applicable laws, contractual obligations, and relevant website policies. Our Acceptable Use Policy lists what is prohibited.
Shield Scraper can collect from any public website. A handful of specialty marketplaces, including Daraz.lk, get deeper, purpose-built support. If you have a specific source or use case in mind, get in touch and we will tell you honestly whether it is a fit.
We may ask customers to describe what they plan to collect and from where. It helps us set up the right controls, and it is part of how we keep the platform to legitimate use.
Email abuse@shieldscraper.com with the affected domain or URL, the approximate time, and what you observed. We review every report and can act on individual customers.
Shield Scraper is open to invited teams. Tell us what you want to collect and from where, and we will be in touch.
Request access