Local SEO teams
Publisher checks
Compare listed company names, addresses, websites, and phone numbers against client records before cleaning a local citation profile.
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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.
CSV
12
Multi-URL
30s load
Free
At a glance
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
Local SEO teams
Publisher checks
Compare listed company names, addresses, websites, and phone numbers against client records before cleaning a local citation profile.
B2B researchers
Niche lists
Build a review queue for Mittelstand companies in a city or vertical, then qualify each row manually before sales outreach.
CRM operators
Data hygiene
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
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.
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.
Run the loop
UScraper loads each page, waits for body, extracts normalized field values, checks for unavailable pages, and exports only valid rows.
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
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.
| titel | adresse_strasse | postleitzahl | addresse_ort | telefonnummer | webseite | detail_url | |
|---|---|---|---|---|---|---|---|
| Fotograf Schilling | Musterstrasse 12 | 40213 | Duesseldorf | +49 211 123456 | [email protected] | https://example.de | https://www.marktplatz-mittelstand.de/duesseldorf/example |
| Carmen Rosa Supermarkt | Beispielweg 4 | 50667 | Koeln | +49 221 555010 | [email protected] | https://supermarkt.example | https://www.marktplatz-mittelstand.de/koeln/example |
| MR Barber | Hauptstrasse 8 | 21493 | Schwarzenbek | +49 4151 55520 | https://barber.example | https://www.marktplatz-mittelstand.de/schwarzenbek/example |
marktplazt_mittelstand_leads_scraper_clean.csvColumn
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 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.
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Marktplatz Mittelstand template | No-code teams that need a local CSV from approved detail URLs | Best for controlled lead batches, not indiscriminate directory crawling |
| Manual copy and paste | One-off checks for a handful of companies | Slow, inconsistent, and hard to repeat for CRM hygiene |
| Hosted scraping actors | Teams that want managed infrastructure | Business URLs and extracted contact data pass through a third-party service |
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
Keep these constraints visible
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.
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.
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.
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