6.2 million European business websites turned into structured records: self-description, product categories, languages, location, switchboard phone and generic role mailboxes.
Data product · Listing updated 11 Nov 2026
Europe
6.2 million business websites
Startups, Small and medium businesses, Mid-market, Enterprises
Public company websites discovered from zone files, business registries and inter-site links
Monthly crawl of homepage, about, imprint and contact pages within robots.txt rules; multilingual classification
A company dataset built from what businesses say about themselves on their own websites, refreshed monthly.
Vistula crawls company homepages, about pages, imprint pages and contact pages discovered from zone files, business registries and links between sites. Only pages that robots.txt allows are fetched. Personal data is excluded by design: named staff pages are skipped, and email addresses are kept only when they are generic role mailboxes, never personal ones. Industry and product categories are assigned by a multilingual classifier and spot-checked by analysts. The strongest coverage is in Germany, Poland, France, Italy, Spain, the Netherlands and the Nordics; records are refreshed monthly.
12 fields as documented by Vistula Web Data.
| Field | Type | Description | Example |
|---|---|---|---|
| company_domain | string | Primary website domain | — |
| company_name | string | Name as shown on the website imprint | — |
| description | string | Company self-description from the homepage | — |
| categories | json | Industry and product categories assigned by Vistula | — |
| languages | json | Languages the site is published in | — |
| country_code | string | Country of the business address | — |
| city | string | City of the business address | — |
| main_phone | string | Switchboard number from the contact page | — |
| generic_email | string | Role mailbox such as info@ (no personal addresses) | — |
| social_pages | json | Links to official company social pages | — |
| website_status | string | active, parked or redirect | — |
| last_crawled_date | date | Date of the last successful crawl | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| company_domainstring | company_namestring | descriptionstring | country_codestring | citystring | generic_emailstring |
|---|---|---|---|---|---|
| demotools.example.com | Demo Tools sp. z o.o. | Industrial hand tools and fixings for workshops | PL | Poznań | [email protected] |
| examplebakery.example.com | Example Bäckerei GmbH | Organic bakery with three shops and catering | DE | Leipzig | [email protected] |
| sampledesign.example.com | Sample Design SRL | Interior design studio for hotels and offices | IT | Turin | [email protected] |
Prices in EUR, as published by Vistula Web Data
per 1,000 company records
full European file, monthly refresh
Converted amounts use DataStoa display rates and are approximate. Vistula Web Data quotes the final price, taxes and terms.
Request detailed pricingEurope.
Time coverage: 2020 to present.
Provider-reported
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Vistula Web Data. This summary is provider-reported; the linked terms prevail.
Not listed: AI / ML model training, AI retrieval and grounding, redistribution allowed, research use. Ask Vistula Web Data if you need any of these.
Public web data extraction, news, domains and company websites
Vistula Web Data builds and runs crawlers for public web sources and packages the results as clean datasets and APIs. Its engineering teams in Kraków and Gdańsk maintain collection pipelines for news, domain records and business websites across Europe.
Also available on: AWS Data Exchange, Snowflake Marketplace
What buyers say about Vistula Web Data. Reviews cover the provider, not only this listing.
from 2 reviews
Coverage of European business news is broad and the archive helped with our retrieval tests. Entity linking confused companies with similar names more often than we liked, so we added our own disambiguation step.
Laura V., AI engineer, Legal tech start-up
They run 30 sources for us and fix layout changes before our deliveries are affected. When we asked about a site behind a login they declined and suggested a licensed alternative, which we appreciated in hindsight.
Tomasz K., Head of data, Price comparison platform