We extract verified business profiles, contact coordinates, categories, and operating hours from Gelbe Seiten. Delivered as clean JSON, CSV, or Parquet to S3, Postgres, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Business Profiles objects from gelbeseiten.de. All fields typed and schema-versioned.
"business_id": "gs_98412941", "name": "Müller Sanitärtechnik GmbH", "category": "Klempner", "premium_status": true, "profile_url": "https://www.gelbeseiten.de/gs/mueller-sanitaertechnik", "logo_url": "https://images.gelbeseiten.de/logo_98412941.jpg"
| # | business_id | name | legal_name | description | category | sub_categories |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contact & Location objects from gelbeseiten.de. All fields typed and schema-versioned.
"phone_primary": "+49 30 1234567", "email": "info@mueller-sanitaer.de", "website": "www.mueller-sanitaer.de", "street_address": "Hauptstraße 42", "postal_code": "10115", "city": "Berlin", "latitude": 52.531677
| # | business_id | phone_primary | phone_secondary | website | street_address | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from gelbeseiten.de. All fields typed and schema-versioned.
"business_id": "gs_98412941", "monday_open": "08:00", "monday_close": "17:00", "friday_open": "08:00", "friday_close": "15:00", "weekend_hours": "Closed"
| # | business_id | monday_open | monday_close | tuesday_open | tuesday_close | wednesday_open |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ratings & Reviews objects from gelbeseiten.de. All fields typed and schema-versioned.
"business_id": "gs_98412941", "rating_score": 4.8, "review_count": 124, "source_platform": "Golocal", "recent_review_date": "2026-05-10", "response_rate": 0.95
| # | business_id | rating_score | review_count | source_platform | recent_review_date | top_review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from gelbeseiten.de. All fields typed and schema-versioned.
"keyword": "Klempner", "location": "Berlin", "position": 3, "business_id": "gs_98412941", "name": "Müller Sanitärtechnik GmbH", "is_sponsored": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | location | radius | position | business_id | name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Gelbe Seiten scraper navigates complex regional search grids, resolves dynamic contact fields, and structures business profiles into clean warehouse records.
Extract company names, legal entities, detailed descriptions, and primary/secondary industry categories from every listing.
Capture primary phone numbers, secondary lines, public email addresses, and external website URLs reliably.
Render JavaScript and simulate click events to reveal masked phone numbers on heavily protected profiles.
Extract precise latitude and longitude coordinates alongside structured postal addresses for geospatial mapping.
Standardise opening and closing times across weekdays, weekends, and holiday exception schedules.
Capture composite rating scores, total review counts, and source platform attributions displayed on listings.
Navigate complex search grids using German postal codes (PLZ) to bypass strict pagination limits.
Identify sponsored placements, premium profile flags, and ad types to map competitor marketing spend.
Maintain a hash index of business records and only deliver diffs when contact details or statuses change.
Brief in. Clean data out.
Provide target categories, cities, or specific German postal codes (PLZ). We design the extraction schema.
We configure Scrapy crawlers, Playwright renderers for contact reveals, and German residential proxy pools.
Schema validation, phone number format checks, and coordinate verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, Postgres database, or Snowflake stage.
Extracting national directory data requires bypassing rate limits and dynamic field masking. Here is how we maintain pipeline stability.
Directory sites aggressively block datacentre IPs. We route all requests through verified residential ISP proxies located within Germany, maintaining realistic request signatures and preventing region blocks.
Many listings mask phone numbers and email addresses behind JavaScript click events to deter basic HTTP scrapers. We deploy full Playwright browser sessions to trigger these events and capture the underlying data.
Gelbe Seiten limits search results to a fixed number of pages per query. We bypass this by dividing major cities into micro-radius coordinate grids, ensuring zero data loss across dense commercial zones.
Premium and free listings use entirely different DOM structures. Our extraction logic applies multi-layer fallback chains to normalise data regardless of the underlying profile template.
For ongoing directory monitoring, we hash every listing. Subsequent runs only extract and deliver records that have changed, drastically reducing your storage costs and processing overhead.
Sales teams extract targeted lists of local businesses by industry and region to feed CRM pipelines.
Agencies track client visibility and search rankings across specific German postal codes and categories.
Analysts map business density and competitor distribution across federal states to guide expansion strategy.
Platforms append missing phone numbers, emails, and operating hours to existing incomplete business records.
Brands monitor franchise locations for rating fluctuations and customer feedback across regional directories.
Logistics and retail planners use extracted coordinate data to optimise delivery routes and physical store placements.
"Gelbe Seiten holds the definitive map of German commerce, but extracting structured postal and contact data at scale requires bypassing aggressive rate limits."
Most teams underestimate the investment required: reliable Gelbe Seiten scraping requires German residential proxies, full JavaScript rendering for contact reveals, and spatial search grids to bypass pagination limits. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our gelbeseiten.de scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles search grid orchestration and deduplication. Playwright executes JavaScript to reveal masked contact details on individual business profiles.
We route all directory traffic through German residential ISP proxies. This maintains high trust scores and bypasses aggressive datacentre IP blocking.
Pipelines run on containerised AWS infrastructure. Airflow manages spatial grid dependencies and schedule frequencies, with all state stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About gelbeseiten.de scraping, legality, and pipeline operations.
Ask us directly →Scraping public business directory data is generally permissible for B2B use cases. We extract only publicly visible company information, contact details, and operating hours. We do not extract personal consumer data or bypass authentication walls. Clients must ensure their subsequent use of contact data complies with GDPR and local telemarketing regulations.
Gelbe Seiten frequently masks phone numbers requiring a user click to reveal them. We use headless Playwright browsers to load the page, execute the necessary JavaScript, simulate the interaction, and capture the fully rendered contact string.
Directory searches cap out at a fixed number of results per query. We map large cities into micro-radius coordinate grids or granular postal code (PLZ) lists. This forces the platform to return smaller, complete result sets that fit within the pagination limits.
Yes. You can provide a specific list of PLZs, cities, or federal states. We inject these directly into the search logic to extract highly targeted regional datasets.
We can configure pipelines to run daily, weekly, or monthly depending on your requirements. Most clients opt for a full initial extraction followed by weekly diff-based updates to capture new listings and modified operating hours.
Yes, we extract email addresses whenever they are publicly listed on the business profile. Note that some businesses rely solely on contact forms rather than publishing raw email addresses.
Our minimum engagement typically starts with a defined category set across major German cities. For full national directory coverage, we price based on the total volume of records and the required update frequency. Contact us to scope your specific data needs.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a national directory dump or targeted regional extracts — we scope, build, and operate the pipeline. Tell us what you need.
