Sales and agency teams
Lead discovery
Favorable to scraping
Collect public business profiles from a known category list, then filter by city, category, phone, email, or organization number before outreach.
Directories$50Free
Krak Business Scraper for CSV Exports
A Krak scraper for turning public business detail pages into a structured CSV. Import the template, provide the Krak-style or related Gule Sider detail URLs you want to audit, and UScraper exports business names, addresses, coordinates, categories, opening hours, contact fields, descriptions, financial fields, and organization numbers into krak-scraper.csv.
Output
CSV
Columns
18
Loop
Detail URLs
Focus
Business records
Template
Free import
At a glance
Export Krak business data without hand-copying records
Structured fields from directory detail pages
The template looks for schema.org business data first, then falls back to visible page text where needed. That makes the Krak to CSV export useful for both quick prospect lists and deeper company research.
A simple URL loop you can control
Add the detail pages you want to visit, run the graph, and let the Navigate, wait, extraction, and Structured Export blocks repeat across the list.
Spreadsheet-ready output
Rows append to one CSV with stable headers for business name, address, map coordinates, category, phone, email, description, financial fields, and organization number.
Local custody for research workflows
The template is built for teams that prefer a desktop workflow over hosted marketplace actors when collecting directory data for review, QA, or enrichment.
Who uses it
Built for local market research, outreach, and verification
Researchers and analysts
Directory audits
Favorable to scraping
Export records from Krak, Gule Sider, Eniro-style pages, or comparable local directories and compare coverage against your CRM or regional market map.
Operations teams
Data cleanup
Nuanced outcome
Use the CSV to check address, phone, and opening-hours consistency before importing approved rows into internal systems.
How to use
Download the Krak scraper template and run a test batch
1
Download and import
Use the download button for the hosted JSON template, then import it into UScraper.
2
Review the input URLs
Open the Navigate block and replace the included sample detail URLs with your own Krak-style business pages or related directory detail pages.
3
Set the save folder
Confirm where krak-scraper.csv should be written, especially if you run multiple directory jobs.
4
Run a small batch
Start with a few records, confirm that names, addresses, contacts, and company fields populate correctly, then scale gradually.
5
Open the CSV
Use Excel, Sheets, a CRM importer, or your enrichment pipeline to review the exported rows.
Automation flow
- 1
Navigate
Visits each supplied detail URL in a full browser session.
- 2
Wait and prepare
Waits for page load, handles common cookie prompts, and lets the business page settle.
- 3
Read structured fields
Extracts schema.org JSON-LD where available, with page-text fallbacks for company metrics.
- 4
Append rows
Writes each record to
krak-scraper.csvand continues to the next URL.
Output preview
What the CSV looks like
krak-scraper.csvColumn
keyword
The search or category label associated with the record.
Column
detail_url
The source business detail page visited by the workflow.
Column
business_name
Business or organization name from structured page data.
Column
address
Street address plus postal code and locality when available.
Column
latitude
Map latitude from the page geo object.
Column
longitude
Map longitude from the page geo object.
Column
category
Business category or breadcrumb label.
Column
postal_area
Postal area or locality.
Column
municipality
Municipality or regional locality field.
Column
opening_hours
Opening hours as text or serialized JSON.
Column
telephone
Public phone number when exposed.
Column
Public email address when exposed.
Column
about
Business description or profile text.
Column
gross_profit
Financial field if the page exposes it.
Column
rate_of_return
Profit margin or return field if present.
Column
number_of_employees
Employee count from company information sections.
Column
start_date
Registration or start date where available.
Column
org_number
Organization number from the business record.
Sample rows
2 of many
| keyword | detail_url | business_name | address | latitude | longitude | category | postal_area | municipality | opening_hours | telephone | about | gross_profit | rate_of_return | number_of_employees | start_date | org_number | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| restaurant | Statholdergaarden og Statholderens Mat og Vinkjeller | Radhusgata 11 0151 Oslo | 59.9093742 | 10.743432 | Restaurant | Oslo | Oslo | Monday 18:00-00:00 | 22 41 88 00 | Gourmet restaurant profile text. | |||||||
| restaurant | Big Fish | Strandveien 23 1680 Skjaerhalden | 59.025795 | 11.0405674 | Restaurant | Skjaerhalden | Hvaler | Friday 12:00-22:30 | 69 37 88 00 | Seafood and local dining profile. |
Columns mirror the bundled Structured Export block; sample rows are illustrative.
For adjacent directory workflows, compare this with the Yellow Pages Listing CSV Scraper, the Superpages Scraper for Business Details, the North Data Scraper for Company Registry Exports, or browse the full UScraper template library.
Frequently asked questions
Public directory pages can still be governed by Krak, Gule Sider, Eniro, robots directives, privacy rules, database rights, and local law. Use modest volume, avoid bypassing security checks, do not collect personal data without a lawful basis, and get legal review before reselling or republishing exported records.
Before you run
Practical limits for directory extraction
Limits worth checking before large exports
Pacing
Directory sites may challenge aggressive runs
Keep batches modest, avoid parallel runs, and pause if the browser shows security verification. The template does not solve Cloudflare or similar checkpoints automatically.
Selectors
Layout and schema fields can change
If exports come back empty, inspect whether the page still exposes JSON-LD business data and update the helper or column fallbacks before scaling again.
Policy
Business data can still include regulated personal data
Treat exported contact fields carefully. Follow site terms, privacy law, and your own retention policies before using the CSV for outreach, enrichment, or resale.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
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