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BundesTelefonbuch Leads Scraper for CSV Export logo

BundesTelefonbuch Leads Scraper for CSV Export

This BundesTelefonbuch leads scraper exports German business directory listings into a structured CSV for B2B prospect research, local supplier checks, and sales list cleanup. Import the workflow into the UScraper local desktop app, edit the search-result URLs, and collect title, address, telephone number, fax number, homepage, and email fields without writing a crawler.

Output

CSV

Fields

6

Pages

11 URLs

Pacing

10 sec

Template

Free

At a glance

Export BundesTelefonbuch leads from listing pages

BundesTelefonbuch search pages are useful for lead discovery because each result card can expose a company name, postal address, phone, fax, website, and email action. This BundesTelefonbuch data extractor is built around known search URLs rather than the bare /suche page, which returned rate-limit responses during analysis and is not included as a runnable input.

The automation path is intentionally simple: Navigate -> Sleep -> Wait for Element -> Structured Export -> Sleep -> Loop Continue. UScraper waits for #scrollingcontent .companyBox result cards, exports the configured columns, pauses for 10 seconds to reduce 429 risk, then advances to the next URL in the loop.

Lead fields in one spreadsheet

Export the contact fields sales and research teams need for first-pass review: listing title, address, phone, fax, homepage, and email.

Known URL pagination

The template starts with 11 configured pages, including Hamburg and Berlin examples, so you can swap in approved category and city searches.

Local desktop execution

The stock workflow writes the CSV to your configured local folder unless you add a separate upload, sync, or sharing block.

Built-in pacing

Short waits and a longer delay between pages make the run easier to audit and less brittle than high-frequency copy-paste automation.

Who this helps

Use cases for B2B leads gewinnen and review

Sales operations

Lead qualification

Favorable to scraping

Build a first-pass table of kunden leads, then dedupe by homepage or phone before enrichment and outreach review.

Local agencies

City/category research

Favorable to scraping

Export businesses from specific German cities and trades, compare contact coverage, and hand qualified rows to campaign teams.

Market researchers

Directory sampling

Nuanced outcome

Collect a repeatable sample for supplier maps or competitor coverage checks while keeping legal, consent, and opt-out decisions outside the CSV.

For adjacent German directory work, compare this template with the Das Telefonbuch Lead Scraper, Gelbe Seiten Listing Scraper, and WLW.de Lead Scraper. The broader UScraper template library also includes maps, company profile, and contact enrichment workflows.


How to use

Configure the BundesTelefonbuch scraper workflow

1

Download and import

Download the hosted BundesTelefonbuch template JSON and import it into UScraper.

2

Review the listing URLs

Open Navigate and replace the bundled techniker/Hamburg and arbeiter/Berlin URLs with approved BundesTelefonbuch search-result pages for your category, city, and page range.

3

Confirm the export path

Structured Export writes bundestelefonbuch-leads-scraper.csv with headers and append mode. Change the save folder before client, city, or campaign-specific batches.

4

Run the paced loop

UScraper opens each page, waits three seconds, confirms result cards exist, exports visible fields, waits 10 seconds, and continues to the next URL.

5

Open and audit the CSV

Spot-check blank emails, homepage values, and phone numbers against source pages before importing rows into a CRM or outreach workflow.

Output preview

BundesTelefonbuch to CSV output fields

The sample below is illustrative because the bundle did not include a CSV file. It mirrors the Structured Export columns in the JSON workflow and shows the row shape you should expect from a successful listing-card export.

titeladressetelefonnummerfaxnummerhomepageemail
Meyer Technik GmbHHammerbrookstr. 42, 20097 Hamburg040 1234567040 1234568www.meyer-technik.example[email protected]
Nord Elektro ServiceWandsbeker Marktstr. 18, 22041 Hamburg040 9876543www.nord-elektro.example[email protected]
Berliner ArbeiterdienstLandsberger Allee 75, 10249 Berlin030 4455667030 4455668www.arbeiterdienst.example
bundestelefonbuch-leads-scraper.csv
CSV - UTF-8 - Append

Column

titel

Business or listing title from the result card heading.

Column

adresse

Visible postal address text from the listing card.

Column

telefonnummer

Telephone number when the directory exposes it in the result.

Column

faxnummer

Fax number when present; blank cells are normal for many listings.

Column

homepage

Homepage text or URL from the visible website action.

Column

email

Email value from the listing email action when available.

Headers included - all configured listing pages append into one file

Comparison

Local template vs cloud directory scrapers

OptionGood fitTrade-off
UScraper BundesTelefonbuch templateNo-code users who want a reviewable local CSV from approved listing URLsYou maintain URL lists and selectors when the source layout changes
Hosted cloud actorsTeams that need scheduled infrastructure, APIs, or managed queuesData and source URLs pass through a third-party platform
Manual copy and pasteVery small one-off checksSlow, inconsistent, and hard to repeat across city/category pages

Frequently asked questions

BundesTelefonbuch listings may be publicly visible, but automated collection can still be restricted by terms of service, robots rules, database rights, privacy law, and how you reuse the data. Keep runs modest, avoid restricted content, and get legal review before using exported leads for commercial outreach.

Before you run

Practical limits and maintenance notes

Keep these constraints visible

Rate limits

Avoid aggressive repeated runs

The bare search URL returned 429 during analysis, so keep the known-URL approach, retain pacing, and slow down when response times or empty pages increase.

Layout drift

Result-card selectors can change

Missing titles, addresses, homepage values, or email fields usually mean the site layout changed, a listing did not expose that value, or the current selector needs maintenance.

Compliance

Directory leads need careful reuse

Review BundesTelefonbuch rules, robots guidance, privacy obligations, and outreach laws before storing, redistributing, enriching, or contacting exported leads.

Download the free template, install the local desktop app from UScraper download, and use this workflow when you need to download BundesTelefonbuch leads into a structured CSV for 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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