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Marktplatz Mittelstand Leads Scraper

This Marktplatz Mittelstand leads scraper turns approved business detail URLs into a structured CSV for local marketing, B2B research, and CRM cleanup. Import the workflow into the UScraper local desktop app, replace or extend the URL list, and export company, address, contact, phone, email, website, opening hours, and detail URL fields without writing a crawler from scratch.

Output

CSV

Columns

12

Flow

Multi-URL

Waits

30s load

Template

Free

At a glance

Export Marktplatz Mittelstand leads to CSV

Marktplatz Mittelstand is used as a German business directory and local listing source, so the useful data usually lives on individual company detail pages rather than only in a search result list. This template focuses on those detail pages. The Navigate block starts with sample URLs from cities such as Duesseldorf, Koeln, Meerbusch, and Schwarzenbek, then the loop appends every successful extraction to one local CSV.

The automation path is intentionally simple: Navigate -> Wait for Page Load -> Wait for Element -> Inject JavaScript -> Text Contains -> Structured Export -> Loop Continue. The injected script normalizes the page text, reads available structured data where present, falls back to visible labels for contact fields, and exposes clean values to the export block. If the page contains the unavailable-page text "Oopsie", the condition skips export and moves to the next input.

Business-directory lead fields

Capture company title, street, postal code, city, contact person, telephone, fax, mobile number, website, email, opening hours, and the original detail URL.

Batch detail pages

Replace the bundled URLs with your own approved Marktplatz Mittelstand detail pages from searches such as arzt;berlin, consulting niches, or local service categories.

Spreadsheet-first review

Export rows to CSV with headers enabled so analysts can dedupe, validate, and enrich records before adding them to a CRM or campaign list.

Local desktop execution

The template runs in the desktop app and saves the file to your configured folder unless you add your own upload, sync, or sharing step.

Who this is for

Use cases for Mittelstand company lead research

Local SEO teams

Publisher checks

Favorable to scraping

Compare listed company names, addresses, websites, and phone numbers against client records before cleaning a local citation profile.

B2B researchers

Niche lists

Favorable to scraping

Build a review queue for Mittelstand companies in a city or vertical, then qualify each row manually before sales outreach.

CRM operators

Data hygiene

Favorable to scraping

Export Marktplatz Mittelstand leads to CSV, dedupe by website or phone, and flag records with missing email or contact details.

For broader German directory coverage, pair this workflow with the Gelbe Seiten listing scraper, WLW lead scraper, and Europages listing scraper. You can also browse the full UScraper template library or download the desktop app from UScraper download.


How to use

Configure the Marktplatz Mittelstand scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Replace detail URLs

Open the Navigate block and replace the sample Marktplatz Mittelstand detail URLs with approved pages from your target city, industry, or lead list.

3

Check the export path

Structured Export writes marktplazt_mittelstand_leads_scraper_clean.csv with headers and append mode. Change the save folder before running client-specific batches.

4

Run the loop

UScraper loads each page, waits for body, extracts normalized field values, checks for unavailable pages, and exports only valid rows.

5

Review the CSV

Open the output file, spot-check detail URLs, remove duplicates, and verify contact fields before importing records into a CRM or outreach system.

Output preview

CSV columns produced by the template

The export mirrors the workflow definition and keeps one row per company detail page. Some Marktplatz Mittelstand records may not publish every field, so empty email, mobile, fax, contact, or opening-hour cells should be treated as normal data quality signals rather than workflow failures.

titeladresse_strassepostleitzahladdresse_orttelefonnummeremailwebseitedetail_url
Fotograf SchillingMusterstrasse 1240213Duesseldorf+49 211 123456[email protected]https://example.dehttps://www.marktplatz-mittelstand.de/duesseldorf/example
Carmen Rosa SupermarktBeispielweg 450667Koeln+49 221 555010[email protected]https://supermarkt.examplehttps://www.marktplatz-mittelstand.de/koeln/example
MR BarberHauptstrasse 821493Schwarzenbek+49 4151 55520https://barber.examplehttps://www.marktplatz-mittelstand.de/schwarzenbek/example
marktplazt_mittelstand_leads_scraper_clean.csv
CSV - UTF-8 - Append

Column

titel

Company or listing title from the detail page heading or metadata.

Column

adresse_strasse

Street address when available in structured data or visible labels.

Column

postleitzahl

German postal code parsed from the address or page text.

Column

addresse_ort

City or locality for the business listing.

Column

ansprechpartner

Contact person when the listing publishes one.

Column

telefonnummer

Primary telephone number.

Column

faxnummer

Fax number if the business profile includes it.

Column

mobilnummer

Mobile number if visible on the page.

Column

webseite

External business website, excluding Marktplatz and map links.

Column

email

Email address from mailto links or visible page text.

Column

oeffnungszeiten

Opening hours from structured data or the visible hours section.

Column

detail_url

The Marktplatz Mittelstand page URL used as the source.

Headers included - every valid detail URL appends into one file

Comparison

Local lead export vs manual copying and cloud actors

OptionGood fitTrade-off
UScraper Marktplatz Mittelstand templateNo-code teams that need a local CSV from approved detail URLsBest for controlled lead batches, not indiscriminate directory crawling
Manual copy and pasteOne-off checks for a handful of companiesSlow, inconsistent, and hard to repeat for CRM hygiene
Hosted scraping actorsTeams that want managed infrastructureBusiness URLs and extracted contact data pass through a third-party service

Frequently asked questions

Marktplatz Mittelstand business listings may be publicly visible, but automated collection can still be limited by site terms, robots rules, database rights, privacy law, and marketing consent rules. Use the export for approved research, avoid restricted data, and get legal review before outreach or resale.

Before you run

Practical limits and maintenance notes

Keep these constraints visible

Rate limits

Large batches can trigger throttling or blocked responses

Keep runs modest, avoid parallel loops, and add longer waits if pages load slowly. Pause when records start returning empty fields unexpectedly.

Layout drift

Directory pages can change labels or structured data

If exports miss phone, email, website, or address fields, inspect a current detail page and update the extraction script or field fallbacks before scaling.

Compliance

Lead data needs a lawful use case

Document your source, collection purpose, retention rules, and outreach basis. Respect opt-outs and avoid enriching or reselling personal data without review.

Download the free template JSON, import it into UScraper, and use it whenever you need to export Marktplatz Mittelstand leads into a structured local CSV for careful review.

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.

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