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Goudengids Scraper Netherlands for Business CSV Exports

A Goudengids scraper for turning approved Goudengids.nl business detail pages into a structured CSV. Import the template, replace the sample Amsterdam cafe URLs with the profiles you need, and UScraper exports business names, addresses, postal codes, cities, opening hours, phones, emails, websites, Facebook links, descriptions, source URLs, keywords, and locations from the local desktop app.

Output

CSV

Columns

14

Loop

Detail URLs

Market

Netherlands

Template

Free import

At a glance

Export Goudengids businesses into a clean CSV

Business profiles, not loose page text

The template focuses on detail pages so each exported row maps to one business. It reads visible profile content when accessible, then uses guarded fallback values for known sample pages when anti-bot protection prevents a full DOM read.

URL batches you can control

Paste the Goudengids.nl detail URLs you are allowed to review into the Navigate block. The graph opens each page, waits, exports one row, and advances through the multi-input loop.

Spreadsheet-ready fields

Use the Goudengids to CSV output for dedupe checks, CRM staging, territory planning, or manual validation. Stable headers make the export easy to filter in Excel, Sheets, or BI tools.

Local custody for directory research

The browser session runs on your machine and the CSV lands in the save folder you choose. That is useful when search terms, target cities, or lead lists should not pass through a hosted scraper dashboard.

Who uses it

Built for Dutch business directory research

Local agencies

Prospect lists

Favorable to scraping

Export Goudengids businesses by city and category, then qualify rows by phone, website, email, and description before any outreach or enrichment step.

Market researchers

Coverage checks

Favorable to scraping

Compare public directory coverage against internal branch lists, franchise maps, or competitor location spreadsheets without copying profile pages by hand.

Operations teams

Data QA

Nuanced outcome

Verify addresses, postal codes, hours, and public websites before importing approved rows into a CRM, supplier database, or location audit workflow.

How to use

Download the Goudengids 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 Goudengids.nl business detail pages you have permission to collect.

3

Confirm the save folder

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

4

Run a small batch

Start with a handful of known profiles and verify names, addresses, phones, emails, websites, and hours.

5

Open the export

Review the CSV in Excel, Sheets, your CRM importer, or your own data-cleaning workflow.

Automation flow inside the template

  1. 1

    Navigate

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

  2. 2

    Wait and prepare

    Waits for page load and the body element before extraction runs.

  3. 3

    Extract structured columns

    Uses column-specific JavaScript for profile fields such as business name, address, phone, email, website, Facebook, and description.

  4. 4

    Append rows

    Writes one CSV row per detail page and continues the loop until the input list is done.

Output preview

What the Goudengids CSV looks like

goudengids_scraper_netherlands.csv
CSV - UTF-8 - Append

Column

keyword

Search term or category label attached to the profile.

Column

location

City or location segment from the page or URL.

Column

detail_url

Source Goudengids.nl business profile URL.

Column

business_name

Business name from the page title, structured data, or fallback.

Column

address

Full street, postal code, and city string.

Column

postal_code

Dutch postal code when visible.

Column

city

City parsed from the URL, address, or fallback.

Column

street

Street address without city when available.

Column

opening_hours

Weekly opening hours as visible page text.

Column

telephone

Public telephone number from tel links or page text.

Column

email

Public email address when exposed.

Column

website

External business website URL.

Column

facebook

Facebook URL when linked from the profile.

Column

description

Business description or meta description text.

Sample rows

2 of many

keywordlocationdetail_urlbusiness_nameaddresspostal_codecitystreetopening_hourstelephoneemailwebsitefacebookdescription
cafeAmsterdamElsa's EetcafeMiddenweg 73 AE, 1098 AE Amsterdam1098 AEAmsterdamMiddenweg 73 AE-+31206685010--Local cafe profile text.
cafeAmsterdamJuiceBrothers x VanLeeuwenHaarlemmerplein 43, 1013HR Amsterdam1013HRAmsterdamHaarlemmerplein 43Maandag 8:00 - 19:00; Dinsdag 8:00 - 19:00+31203626492Healthy food, juice, smoothies, bowls, breakfast, and desserts.
Columns mirror the bundled Structured Export block; sample rows are illustrative.

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


Frequently asked questions

Public business directory pages can still be governed by Goudengids.nl, De Telefoongids, Youvia terms, robots rules, database rights, privacy law, and anti-abuse controls. Use modest volume, respect technical safeguards, avoid collecting personal data without a lawful basis, and get legal review before reselling, republishing, or using records for large-scale outreach. Review the official privacy policy and cookie policy while scoping the project.

Before you run

Practical limits for Goudengids extraction

Limits worth checking before large exports

Pacing

Directory sites may challenge aggressive runs

The source analysis showed Incapsula/Imperva blocking in some conditions. Keep batches modest, avoid parallel runs, and pause if the browser shows a verification screen instead of trying to force past it.

Selectors

Layout and profile fields can change

If exports come back empty, inspect whether the business detail page still exposes the same address, contact, and description patterns. Update the Structured Export columns before scaling again.

Policy

Treat directory contacts as regulated data

Phone numbers, email addresses, and profile descriptions may be public but still regulated for marketing, retention, and resale. Use the CSV for legitimate review and comply with site terms, privacy law, and your outreach policies.

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]