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This Das Telefonbuch scraper exports German directory detail pages into a structured CSV for lead research, supplier mapping, and local market checks. Import the workflow into the UScraper local desktop app, replace the sample detail URLs, and collect names, addresses, phone numbers, official websites, industries, opening hours, and source URLs without writing browser automation.
CSV
9
Detail URLs
Multi-URL
Free
At a glance
This workflow is aimed at detail pages under adresse.dastelefonbuch.de, not broad search-result harvesting. That makes the automation easier to review: you decide which Das Telefonbuch records are in scope, add those URLs to Navigate, and let UScraper extract a consistent set of business directory fields into one CSV.
The run follows a simple graph: Navigate -> Wait for Page Load -> Inject JavaScript -> Sleep -> Wait for Element -> Structured Export -> Loop Continue. The JavaScript step tries to dismiss consent prompts and click visible phone-number reveal controls before extraction. Structured Export then reads the rendered page, appends the configured columns, and the loop advances to the next URL.
URL-controlled collection
Use a curated list of Das Telefonbuch detail URLs when you need a reproducible export instead of a broad crawler.
Contact-focused fields
Capture phone numbers, official website links, addresses, industries, and opening-hour text when those fields are visible on the source page.
Spreadsheet-ready output
Headers are included and append mode keeps every supplied URL in one local CSV for review, cleanup, and enrichment.
Local desktop workflow
The stock template writes to your configured local folder unless you add separate upload, sync, or sharing blocks.
Who uses it
B2B sales teams
Lead qualification
Export approved directory records, then filter by industry, city, phone availability, or official website before outreach. Pair the result with the Email and Social Media Finder when you need extra contact discovery.
Market researchers
Local supplier maps
Build a reviewable sample of German businesses by city or category, then compare address coverage, website availability, and visible operating hours.
Agencies
Repeatable CSV exports
Replace manual copy-paste from online Telefonbuch records with a reusable workflow while keeping consent, opt-out, and lawful-basis checks outside the spreadsheet.
For adjacent German directory work, compare this template with the 11880 Listing Scraper, Gelbe Seiten Listing Scraper, and WLW.de Lead Scraper. You can also browse the full UScraper template library for search, maps, and company-data follow-up workflows.
How to use
Replace the sample URLs
In Navigate, replace the two Berlin sample detail URLs with the approved adresse.dastelefonbuch.de pages you want to export.
Confirm the CSV path
Structured Export writes das-telefonbuch-lead-scraper.csv with headers and append mode. Change the save folder before each project or client batch.
Run the multi-URL loop
UScraper loads each page, waits up to 30 seconds, runs the consent and phone-reveal helper, pauses briefly, confirms the page body, and exports the row.
Review the output
Open the CSV, spot-check several source URLs, and mark blank cells that need manual review because the source page did not expose a phone, website, or hours field.
Output preview
The export mirrors the JSON workflow definition. Blank cells are expected when a listing hides a value, uses a different page layout, or requires interaction the helper cannot complete.
| firma_oder_person | ort | unternehmen_url | name_des_unternehmens | adresse | telefonnummer | offizielle_website | branche | oeffnungszeit |
|---|---|---|---|---|---|---|---|---|
| Apparatebau | Berlin | https://adresse.dastelefonbuch.de/Berlin/1-Apparatebau-BORSIG-GmbH-Berlin-Egellsstr.html | BORSIG GmbH | Egellsstr. 21, 13507, Berlin | 03043010 | https://www.borsig.de | Apparatebau | Geoeffnet bis 17:00 |
| Maschinenbau | Berlin | https://adresse.dastelefonbuch.de/Berlin/1-Maschinenbau-KAPP-NILES-GmbH-Co-KG-Berlin-Nordring.html | KAPP NILES GmbH & Co. KG | Nordring 4, 12681, Berlin | 030930960 | https://www.kapp-niles.com | Maschinenbau | |
| Handwerk | Koeln | https://adresse.dastelefonbuch.de/Koeln/1-Handwerk-Beispiel-GmbH-Koeln-Musterstr.html | Beispiel Handwerk GmbH | Musterstr. 8, 50667, Koeln | 0221123456 | https://www.beispiel-handwerk.de | Handwerk | Nach Vereinbarung |
das-telefonbuch-lead-scraper.csvColumn
name_des_unternehmens
Company or person name from schema markup, the page heading, or title fallback.
Column
adresse
Street, postal code, and city from visible text or structured address fields.
Column
telefonnummer
Phone number from telephone markup, tel links, revealed controls, or page text.
Column
offizielle_website
External website link when the directory exposes a non-Das-Telefonbuch URL.
Column
branche
Industry or category inferred from the URL path, schema category, or visible category links.
Das Telefonbuch pages may be publicly accessible, but automated collection can still be limited by site terms, robots directives, database rights, privacy law, and how you reuse the data. Keep runs modest, avoid restricted content, and get legal review before using exported lead data commercially.
Before you run
Keep these guardrails in view
Detail pages can throttle aggressive collection
Use smaller URL batches first, avoid parallel runs against the same directory, and increase waits if consent prompts, phone reveal controls, or page loads become inconsistent.
Visible fields can move or disappear
Empty exports, missing phone numbers, or broken website fields usually mean Das Telefonbuch changed markup, a listing uses a different layout, or the field was not visible on that record.
Directory data needs careful reuse
Business directory rows can include personal data, protected database content, and contact details. Keep only fields you have a lawful reason to process and document opt-out handling before outreach.
Download the free template, install the local desktop app from UScraper download, and use this workflow when you need to export Das Telefonbuch leads into a structured local CSV.
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