Products and variants
Unique products, including variants, in Prisvogter’s database that are monitored continuously.
THE METHOD BEHIND THE DATA
How Prisvogter ensures reliable price and market data
Prisvogter combines in-house crawling, automatic and AI-assisted product matching, and extensive manual quality assurance. The result is a documented dataset for price monitoring, analysis and controlled pricing management.
DATA AT SCALE
Ongoing monitoring with clear definitions
The figures show Prisvogter’s current data coverage, stated with month and year.
Daily page visits
Product pages visited and checked by Prisvogter’s crawlers over a 24-hour period.
Online stores
Distinct online stores included in Prisvogter’s monitoring of the Danish market.
Pages per minute
Product pages reviewed per minute. Data is updated when a relevant change is detected.
Data figures as of . The figures change continuously.
IN-HOUSE DATA COLLECTION
Our own crawlers track your store’s product data
Prisvogter has developed its own crawler technology. Following the same basic principles as a search engine, it visits product pages and records information relevant to the agreed monitoring.
Pricing data
Prices are normally collected including VAT. By agreement, data can also be processed excluding VAT or under customer-specific rules.
Stock and delivery
We record stock availability and can include delivery information, such as 4–6 days, where available on the page.
History and changes
Prisvogter stores historical observations so you can track price trends, stock changes and other relevant movements over time.
PRODUCT MATCHING
Automation, AI and manual checks work together
A competitor price is only useful if it belongs to the right product. Prisvogter combines automation, AI-assisted analysis and manual quality assurance to make the data as accurate and actionable as possible.
Strong product identifiers
EANs, MPNs and item numbers are key signals when available and consistent.
Additional product information
Data from comparison sources and other structured product information strengthens matching.
AI-assisted recommendations
AI can support analysis and suggestions for more complex matches. Uncertain results can be held as recommendations rather than treated as confirmed matches.
Manual quality assurance
For especially high data requirements or difficult product areas, automation is supplemented by extensive manual review.
ONGOING QUALITY ASSURANCE
When an online store changes, we follow up
Data sources are monitored automatically, but quality at scale also requires people. Prisvogter’s specialist data team reviews errors and outages and adapts collection when a store or its structure changes.
1
Anomalies are detected
Suddenly inactive prices, lower data volumes and pages that no longer exist can indicate a source needs investigation.
2
The cause is assessed
We check whether the store has closed, product addresses have changed or the site’s technical structure has been updated.
3
Collection is adjusted
When necessary, the team updates the specific source and checks that data is entering the system correctly again.
ACCESS AND TECHNICAL CONDITIONS
Most public online stores can be monitored directly
Prisvogter has several technical methods for collecting publicly available product data. A suitable solution can be established in most cases, including technically demanding stores.
Data behind a login
Prisvogter does not normally access pages behind a login without agreement. With the necessary permission and relevant credentials, such sources can sometimes be included.
Technical limitations
Some websites or setups may temporarily restrict data availability. Options and limitations are assessed individually.
Customer rules
Prices, VAT, stock availability and delivery can be interpreted according to the workflow and rules agreed with the customer.
QUALITY FIRST DURING ONBOARDING
Technical setup in a few days – typically delivered after around seven days
Prisvogter can normally be configured technically in a few days. We typically prefer to collect and check data for around seven days before delivering the first complete dataset, providing better coverage and more representative comparisons.
Days 1–3: Setup
Products, competitors, markets and relevant data sources are configured.
Following days: Data maturation
Observations are collected, matches checked and any anomalies investigated.
Delivery and ongoing operation
Reporting, integration or pricing management is enabled once the data meets the agreed quality.
Product ranges without usable EANs, MPNs or item numbers may take longer because additional matching methods are required. This is agreed with the customer before delivery.
ASSESS YOUR DATA
See how Prisvogter can monitor your market
We focus on your product range, data quality, competitors and desired workflow.