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Gulesider Scraper for Business CSV Exports

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.

Output

CSV

Columns

18

Loop

Detail URLs

Focus

Business profiles

Template

Free import

At a glance

Export Gulesider businesses into a clean CSV

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

Built for research, outreach, and directory verification

Sales and agency teams

Lead research

Favorable to scraping

Export Gulesider businesses from known categories, then filter by city, category, phone, email, or CVR number before outreach.

Market researchers

Coverage checks

Favorable to scraping

Compare public directory coverage against internal lists, franchise maps, or regional business datasets.

Operations teams

Data cleanup

Nuanced outcome

Verify address, opening-hours, and contact consistency before importing approved rows into a CRM or enrichment pipeline.

How to use

Download the Gulesider 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

Replace the sample URLs

Open the Navigate block and paste the Gulesider, Krak, or compatible business detail pages you are allowed to collect.

3

Confirm the save folder

Check where gulesider_scraper.csv should be written before running a larger directory job.

4

Run a small batch

Start with a few known-good profiles and verify that names, addresses, contacts, coordinates, and company fields populate correctly.

5

Open the export

Review the CSV in Excel, Sheets, a CRM importer, or your own enrichment process.

Automation flow

  1. 1

    Navigate

    Visits each supplied business profile detail URL in a normal browser session.

  2. 2

    Wait and prepare

    Waits for page load, pauses for dynamic content, and handles common cookie prompts.

  3. 3

    Read structured fields

    Parses JSON-LD where available, then falls back to visible profile text for selected company fields.

  4. 4

    Append rows

    Writes the row to gulesider_scraper.csv and advances to the next URL.

Output preview

What the Gulesider CSV looks like

gulesider_scraper.csv
CSV - UTF-8 - Append

Column

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

email

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

keyworddetail_urlbusiness_nameaddresslatitudelongitudecategorypostal_areamunicipalityopening_hourstelephoneemailaboutgross_profitrate_of_returnnumber_of_employeesstart_datecvr_number
frisorNordic Hair StudioMain Street 12 0151 Oslo59.913910.7522Hair salonOsloOslo[{"dayOfWeek":"Monday","opens":"09:00","closes":"17:00"}]22 00 00 00Local salon profile text.--401-02-201812345678
restaurantHarbor KitchenHarbor Road 8 5003 Bergen60.39295.3242RestaurantBergenBergen[{"dayOfWeek":"Friday","opens":"12:00","closes":"22:00"}]55 00 00 00Restaurant and catering profile text.--915-04-202087654321
Columns mirror the bundled Structured Export block; sample values are illustrative.

For adjacent directory workflows, compare this with the Krak scraper, Yellow Pages Listing CSV Scraper, Superpages Scraper, or browse the full UScraper template library.


Frequently asked questions

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

Practical limits for Gulesider 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 GitHub

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FAQ

Frequently asked questions

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]