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Private beta · Invite onlyReport abuse: abuse@shieldscraper.com

Web data infrastructure for pricing, stock & market intelligence

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

  • price
  • currency
  • stock status
  • SKU
  • product title
  • variants
  • availability
  • regional differences
  • timestamp
  • product metadata
Illustrative, synthetic data

Wireless Controller

SKU WC-4471-BLK · retailer.example/p/wireless-controller

Readings of one product across four regions
RegionReadingTime
GBUnited Kingdom£59.99In stock09:14HTTP
USUnited States$64.99In stock09:14HTTP
DEGermany€62.90In stock09:15Browser
AEUnited Arab EmiratesAED 239Low stock09:15Browser

Changed values are struck through and rewritten, not silently replaced.

Public-web data, in the shape your team needs it

Shield Scraper collects structured data from public websites, most often e-commerce and retail, for pricing, stock, catalog, and market analysis.

  • 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
  • Stock & availability

    Watch in-stock, low-stock, and out-of-stock signals for each product and variant.

    • stock status
    • variants
    • SKU
  • Product catalog aggregation

    Bring titles, SKUs, variants, and metadata from many public catalogs into one consistent schema.

    • product title
    • SKU
    • metadata
  • Market intelligence

    Turn public listings into datasets for category analysis, assortment tracking, and competitive benchmarking.

    • assortment
    • pricing bands
    • availability
  • Regional comparison

    Compare price and availability for the same product across countries and currencies, as local shoppers see them.

    • region
    • currency
    • availability
  • Change monitoring

    Detect when a public page's price, availability, or content changes and record what changed.

    • previous
    • current
    • timestamp

How teams use it

Typical ways teams put structured public-web data to work. These are illustrative scenarios, not customer case studies.

Retail pricing team

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.

Marketplace seller

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.

Market-research analyst

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.

Data team

What they doFeeds structured product data into internal models, reports, and pricing tools.

What they getTimestamped JSON records, each tied to its source URL.

From a public page to a row in your database

  1. Public product page

    A publicly accessible listing, the same page a shopper sees.

  2. Shield Scraper

    Collected over HTTP, or in a managed browser session where the page needs one.

  3. Structured JSON

    One consistent schema, timestamped and tied to its source URL.

  4. Your systems

    Delivered to your database, dashboard, or API.

What a record looks like

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.

Fields in a sample record
FieldExample value
productWireless Controller
regionGB
price59.99
currencyGBP
availabilityin_stock
skuWC-4471-BLK
variants["Black", "White"]
source_urlretailer.example/p/wireless-controller
checked_at2026-09-26T09:14:02Z

The right collection method for each source

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.

requestresponseFig. 1

Standard HTTP collection

Where a page serves its data directly, lightweight HTTP requests collect it quickly and efficiently, with no browser required.

Fig. 2

Managed browser sessions

Managed browser sessions for collecting data from modern JavaScript-rendered websites, including pages that need normal browser interaction to display their content.

GBUSAEDEFig. 3

Geo-distributed data collection

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.

Built for teams that run on public-web data

E-commerce & retail intelligence

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.

  • Pricing aggregation across public retailer pages
  • Stock monitoring at product and variant level
  • Product catalog collection into a consistent schema
  • Regional availability and currency comparison
  • Competitive price comparison
WC-4471-BLK
  • Market researchCategory and assortment datasets
  • Price intelligenceBenchmarking and price history
  • Product intelligenceAttributes, variants, and metadata
  • SEO & search monitoringPublic search-result tracking
  • Travel pricing & availabilityPublic fares and inventory signals
  • Data & analytics teamsStructured feeds for downstream models

Accountability is part of the platform

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

One customer suspended. The rest carry on.
  • C-01

    Per-customer identification

    Every account is tied to an identified customer.

  • C-02

    Per-project controls

    Settings are scoped to each project, not the whole account.

  • C-03

    Request logging

    Requests are logged so activity can be investigated.

  • C-04

    Usage monitoring

    Volume and patterns are monitored for anomalies.

  • C-05

    Domain-level restrictions

    The domains a project may collect from can be restricted.

  • C-06

    Rate controls

    Request rates can be capped per project.

  • C-07

    Credential rotation

    Access credentials can be rotated or revoked.

  • C-08

    Customer suspension

    Individual customers can be suspended without affecting others.

  • C-09

    Target restrictions

    Problematic targets can be restricted.

  • C-10

    Abuse investigation

    Abuse reports are reviewed and investigated.

  • C-11

    Provider escalation support

    We work with upstream infrastructure providers when they raise a concern.

Private beta. Access by invitation.

Shield Scraper is in private beta and open to invited teams only. Request access and tell us about your use case.

How access works

  1. 1

    Request access

    Tell us what you want to collect and from where. If you already have an invite code, add it to the form.

  2. 2

    We review

    We look at every request, and may ask about your use case before inviting you.

  3. 3

    Get invited

    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 access

Already have an invite? Add your invite code on the form.

Frequently asked questions

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.

Request access to the beta.

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