Sales and agency teams
Lead research
Export Gulesider businesses from known categories, then filter by city, category, phone, email, or CVR number before outreach.
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A Gulesider scraper for exporting public business profile details into a structured CSV. Import the template, add the Gulesider or Krak-style detail URLs you want to review, and UScraper collects business names, addresses, coordinates, categories, opening hours, telephone numbers, emails, profile text, financial fields, employee counts, start dates, and CVR numbers.
CSV
18
Detail URLs
Business profiles
Free import
At a glance
Business fields instead of copied text
The template reads JSON-LD business data when it exists, then uses normalized page text fallbacks for contact and company fields. That gives you a useful Gulesider to CSV export without hand-cleaning every profile.
URL batches you can control
Add approved detail pages to the Navigate block, run the graph, and let the wait, helper, export, and Loop Continue blocks repeat across the list.
Spreadsheet-ready output
Rows append under stable headers for business name, address, coordinates, category, phone, email, description, financial fields, employees, start date, and CVR number.
Local custody for sensitive research
The CSV is written to your configured folder. Use it for internal review, CRM cleanup, territory planning, or market audits without routing the export through a hosted crawler.
Who uses it
Sales and agency teams
Lead research
Export Gulesider businesses from known categories, then filter by city, category, phone, email, or CVR number before outreach.
Market researchers
Coverage checks
Compare public directory coverage against internal lists, franchise maps, or regional business datasets.
Operations teams
Data cleanup
Verify address, opening-hours, and contact consistency before importing approved rows into a CRM or enrichment pipeline.
How to use
Download and import
Use the download button for the hosted JSON template, then import it into UScraper.
Replace the sample URLs
Open the Navigate block and paste the Gulesider, Krak, or compatible business detail pages you are allowed to collect.
Confirm the save folder
Check where gulesider_scraper.csv should be written before running a larger directory job.
Run a small batch
Start with a few known-good profiles and verify that names, addresses, contacts, coordinates, and company fields populate correctly.
Open the export
Review the CSV in Excel, Sheets, a CRM importer, or your own enrichment process.
Automation flow
Navigate
Visits each supplied business profile detail URL in a normal browser session.
Wait and prepare
Waits for page load, pauses for dynamic content, and handles common cookie prompts.
Read structured fields
Parses JSON-LD where available, then falls back to visible profile text for selected company fields.
Append rows
Writes the row to gulesider_scraper.csv and advances to the next URL.
Output preview
gulesider_scraper.csvColumn
keyword
Search or category label associated with the record.
Column
detail_url
Source business profile URL visited by the workflow.
Column
business_name
Business or organization name.
Column
address
Street address, postal code, and locality when available.
Column
latitude
Map latitude from structured page data.
Column
longitude
Map longitude from structured page data.
Column
category
Business category or breadcrumb label.
Column
postal_area
Postal area or locality.
Column
municipality
Municipality or regional locality.
Column
opening_hours
Opening hours as serialized day and time data.
Column
telephone
Public phone number when exposed.
Column
Public email address when exposed.
Column
about
Profile description or about text.
Column
gross_profit
Financial field if exposed on the profile.
Column
rate_of_return
Return or margin field when available.
Column
number_of_employees
Employee count from company information sections.
Column
start_date
Registration or start date.
Column
cvr_number
CVR 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 | cvr_number | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| frisor | Nordic Hair Studio | Main Street 12 0151 Oslo | 59.9139 | 10.7522 | Hair salon | Oslo | Oslo | [{"dayOfWeek":"Monday","opens":"09:00","closes":"17:00"}] | 22 00 00 00 | Local salon profile text. | - | - | 4 | 01-02-2018 | 12345678 | ||
| restaurant | Harbor Kitchen | Harbor Road 8 5003 Bergen | 60.3929 | 5.3242 | Restaurant | Bergen | Bergen | [{"dayOfWeek":"Friday","opens":"12:00","closes":"22:00"}] | 55 00 00 00 | Restaurant and catering profile text. | - | - | 9 | 15-04-2020 | 87654321 |
For adjacent directory workflows, compare this with the Krak scraper, Yellow Pages Listing CSV Scraper, Superpages Scraper, or browse the full UScraper template library.
Public directory pages can still be governed by Gulesider, Krak, Eniro, robots directives, database rights, privacy rules, 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
Limits worth checking before large exports
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.
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.
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.
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