This Gelbe Seiten scraper tutorial shows how to turn selected business detail pages into a clean CSV using the Gelbe Seiten Scraper for Business Leads template. You will prepare URLs, set the export path, run a small validation batch, and review the fields before using the data for research or lead qualification.
Before you start
Prerequisites for scraping Gelbe Seiten
You need UScraper installed as a local desktop app, a short list of current Gelbe Seiten business detail URLs, and a folder where the CSV should be saved. The template includes sample https://www.gelbeseiten.de/gsbiz/... URLs so you can see the expected input shape, but those examples should be replaced with your reviewed target pages before a real run.
Use this workflow for supervised business research, directory audits, CRM cleanup, and lead qualification. It is not a shortcut around account walls, verification screens, consent prompts, or access controls. Before you automate, review the official Gelbe Seiten search site and current Gelbe Seiten robots.txt, then confirm your legal basis for using contact data.
Technical access is only one part of the decision. If the CSV will support outreach, enrichment, resale, or audience building, treat compliance review as part of the workflow.
Workflow
How the Gelbe Seiten scraper workflow runs
The template is built around known business profile URLs. It does not try to discover every result from a search page. That keeps the run focused: you decide which companies belong in the input list, and UScraper handles page loading, field extraction, and CSV appending.
Import the template
Open the related UScraper template page, download the JSON workflow, and import it into the app.
Replace sample URLs
Paste your approved Gelbe Seiten detail URLs into the Navigate block. Keep one business profile per URL.
Wait for the heading
The workflow waits for the page to load and confirms that the business name element is visible before export.
Export structured fields
Structured Export reads page values into named columns such as name, address, branch, phone, email, homepage, and opening hours.
Continue the loop
Each loaded page appends one row to the same CSV, then the loop advances to the next URL.
This pattern is the main reason the template is useful as a Gelbe Seiten scraper alternative to custom scripts. You still control the input list and review the output, but you do not have to maintain a separate browser automation project for a routine CSV export.
Export shape: Gelbe Seiten to CSV
The workflow definition exports 12 columns. The CSV is designed for spreadsheet review first, then CRM import or enrichment after your team has checked blanks, duplicates, and consent requirements.
| Column | What it captures | Validation check |
|---|---|---|
webseite_url | The source Gelbe Seiten detail page | Keep it for audit and rechecks. |
id | Profile identifier when exposed in page data | Useful for duplicate investigation. |
name | Business name from the profile heading | Compare against the visible page title. |
adresse | Address text from the profile header | Normalize street abbreviations later. |
plz | Five-digit postal code | Filter by city or service region. |
standort | Location or city label | Check against the postal code. |
branche | Published branch/category text | Use for segmentation, not final taxonomy. |
oeffnungsstatus | Current opening status text | Expect this to change over time. |
telefonnummer | Visible phone number | Spot-check formatting before outreach. |
e_mail | Email from visible mail links or page data | Blank is normal when not published. |
homepage | External business website | Validate redirects before CRM import. |
konkrete_oeffnungszeiten | Detailed opening-hours text | Review multiline values in the CSV viewer. |
Because no CSV sample ships with the bundle, treat the table as the workflow contract, not a live data guarantee. Page modules and published contact fields can change.
Tutorial
How to scrape Gelbe Seiten leads step by step
First, open the Gelbe Seiten Scraper for Business Leads template page. Download the workflow JSON and import it into UScraper. Rename the project if you plan to run separate batches for different cities, industries, or clients.
Next, prepare your URLs. Good inputs are direct detail pages, usually under /gsbiz/. If your starting point is a keyword and city search, collect the detail links first, remove duplicates, and review the list manually.
Open the Navigate block and replace the two sample URLs with your own list. Do not paste a Gelbe Seiten search page into this workflow and expect it to paginate through results. The template is intentionally detail-page focused, so scaling comes from expanding the URL array.
Then inspect the Structured Export block. The default filename is gelbe-seiten-scraper.csv, headers are included, and file mode is append. Change the save folder before running a client-specific batch. If you are testing selector edits, use a fresh filename so old rows do not hide a new problem.
Run a five-URL validation batch. Watch for slow pages, consent prompts, empty details, or layout changes. After the run, open the CSV and check row count, source URL, business name, phone or website, and whether blank email fields are expected.
If the sample looks clean, expand the batch. If not, rerun one failing URL by itself. Most issues are easier to diagnose on a single visible page than inside a long appended CSV.
Gelbe Seiten scraper tools compared
The best Gelbe Seiten scraper depends on the job. For a one-off reviewed CSV, a local desktop app can be simpler than a hosted actor or API. For production data feeds, a managed provider may be the better trade-off.
| Option | Best for | Trade-off |
|---|---|---|
| UScraper local desktop app | Supervised CSV exports from a controlled URL list | You manage pacing, validation, and workflow maintenance. |
| Cloud scraper or actor | Scheduled jobs, hosted queues, and managed infrastructure | Less direct visibility into each browser state and provider-specific pricing. |
| Scraper API | Backend products and automated integrations | Usually needs developer work and a stable contract around fields. |
| Open-source script | Full code control and custom logic | You maintain selectors, browser behavior, retries, and exports yourself. |
If your question is "how to scrape Gelbe Seiten into CSV without writing code," start with the template. For a daily production database, evaluate APIs and hosted services alongside a local workflow.
Common issues and fixes
Blank fields usually mean the business does not publish that value, the contact area did not render before export, a consent prompt interrupted the page, or the markup changed. Rerun one URL and confirm the value is visible before the Structured Export block starts.
Next steps
Download the template
Use the Gelbe Seiten Scraper for Business Leads when you already have reviewed business detail URLs and need a clean CSV. If you need more workflows, browse the full UScraper template library, then use the UScraper blog for tutorials, comparisons, and maintenance notes.
Keep the first run small, preserve source URLs, and treat the exported CSV as a research file that still needs review before sales, enrichment, or compliance-sensitive use.