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Editus Data Scraper for Company Directory Exports

The Editus data scraper turns Luxembourg company directory pages into a structured CSV export for prospecting, enrichment, local-market research, and directory QA. It captures company name, phone, email, address, website, Editus profile URL, category, and description from public Editus result pages without asking you to write a crawler from scratch.

Output

CSV

Columns

8

Flow blocks

10

Search scope

URL variants

Runtime

Local

At a glance

Editus company scraper for structured directory data

Extracts business contact fields

Collect company names, phone numbers, email addresses, postal addresses, websites, profile URLs, categories, and short descriptions into one consistent export.

Probes likely result pages

Because Editus exposes several search, language, and category paths, the template checks a curated set of restaurant-in-Luxembourg URL patterns and page variants before exporting.

Creates a spreadsheet-ready file

The Structured Export block targets normalized hidden rows, so every captured business lands under stable CSV headers instead of a messy copy-paste dump.

Keeps the workflow on your machine

UScraper runs the browser automation locally. That is useful when a team wants an Editus to CSV workflow without routing the scrape through a hosted marketplace actor.

Who it helps

Use cases for Editus directory exports

Local B2B sales teams

Account sourcing

Favorable to scraping

Build a first-pass list of Luxembourg restaurants, service businesses, or category-specific prospects, then enrich and qualify the rows in your CRM.

Market researchers

Competitive mapping

Favorable to scraping

Export company coverage by city, category, and description so you can measure which operators appear in Editus for a local sector.

Automation

How the Editus data extractor runs

The graph starts with Navigate to https://www.editus.lu/fr, waits for the page to finish loading, then pauses briefly so dynamic directory content has time to settle. If a consent button is present, the condition branch clicks it before extraction continues.

How to use

Download Editus data to CSV in five steps

1

Download the template

Use the download button on this page or the hosted JSON link to import the free workflow into UScraper.

2

Run a small baseline

Keep the default restaurant-in-Luxembourg probe for your first run. Confirm that Editus loads normally and that the consent branch clears any cookie prompt.

3

Adjust the search URLs

For another activity or city, replace the candidate URL list in the JavaScript block with exact Editus search or category pages from your browser.

4

Choose the save folder

The Structured Export block writes editus_data_scraper.csv; change the save location if your team uses a shared local folder.

5

Run and review the CSV

Open the export in Excel, Sheets, or your CRM import tool. Check row counts, duplicates, and missing contact fields before using the dataset at scale.

Output preview

What the Editus CSV export includes

editus_data_scraper.csv
CSV - UTF-8 - Create

Column

company_name

Business or establishment name.

Column

phone

Telephone number, when exposed.

Column

email

Public email address found in the page or card.

Column

address

Street, postal code, city, or Luxembourg location text.

Column

website

External website, excluding social and Editus URLs.

Column

editus_profile_url

Source Editus profile or result URL.

Column

category

Detected activity, category, or structured type.

Column

description

Short profile description when available.

Sample rows

2 of many

company_namephoneemailaddresswebsiteeditus_profile_urlcategorydescription
Le Centre Restaurant+352 26 00 00 0012 Rue du Marche, L-1111 LuxembourgRestaurantLocal dining business listed in the Luxembourg directory.
Cafe Gare SARL+352 27 00 00 00L-1616 LuxembourgRestaurant / cafeCompany card with address and phone coverage.
Headers included - one normalized row per captured Editus company record

Frequently asked questions

Editus publishes directory information, but automated collection can still be limited by site terms, robots directives, database rights, personal-data rules, and Luxembourg or EU privacy obligations. Keep volumes modest, avoid sensitive personal uses, respect opt-out requests, and get legal advice before using exported rows commercially.

Before you scale

Practical limits and maintenance notes

Run this scraper with a review loop

Rate limits

Avoid aggressive unattended batches

Directory sites can throttle, challenge, or block repeated automated requests. Keep the built-in waits, run one category at a time, and stop if Editus shows verification or unusual errors.

Selector drift

Update candidate URLs when layouts change

The JavaScript block uses broad parsing and same-origin URL probes, but Editus can change paths or markup. Empty output usually means you should paste exact search-result URLs into the candidate list.

Compliance

Use contact data responsibly

Review the official Editus personal-data rights page and your own outreach rules before storing, enriching, or contacting people from exported records.

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

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UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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