We extract business directories, regional job postings, real estate listings, and local events from meinestadt.de. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, 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 Directory objects from meinestadt.de. All fields typed and schema-versioned.
"business_id": "MS-BIZ-847291", "name": "Müller & Co. Sanitärtechnik", "category": "Handwerk", "city": "Köln", "zip_code": "50667", "phone_number": "+49 221 1234567", "website_url": "https://www.mueller-sanitaer-koeln.de", "rating": 4.6
| # | business_id | name | category | sub_category | street_address | city |
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Complete list of extractable fields for Job Postings objects from meinestadt.de. All fields typed and schema-versioned.
"job_id": "MS-JOB-59281", "title": "Anlagenmechaniker SHK (m/w/d)", "company_name": "Müller & Co. Sanitärtechnik", "location": "Köln", "employment_type": "Vollzeit", "posted_date": "2023-10-14T08:00:00Z", "application_url": "https://jobs.mueller-sanitaer-koeln.de/apply"
| # | job_id | title | company_name | location | zip_code | employment_type |
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Complete list of extractable fields for Real Estate objects from meinestadt.de. All fields typed and schema-versioned.
"property_id": "MS-RE-10482", "listing_type": "Miete", "title": "Helle 3-Zimmer Wohnung mit Balkon", "city": "München", "price_eur": 1450.0, "rooms": 3, "area_sqm": 85.5, "broker_name": "Bavaria Immobilien GmbH"
| # | property_id | listing_type | title | street | city | zip_code |
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Complete list of extractable fields for Local Events objects from meinestadt.de. All fields typed and schema-versioned.
"event_id": "MS-EV-99312", "title": "Weihnachtsmarkt am Dom", "category": "Märkte & Feste", "city": "Köln", "event_date": "2023-12-01", "start_time": "11:00", "ticket_price_eur": 0.0, "organizer_name": "Stadt Köln"
| # | event_id | title | category | venue_name | street_address | city |
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Complete list of extractable fields for Vehicles objects from meinestadt.de. All fields typed and schema-versioned.
"listing_id": "MS-CAR-48291", "vehicle_make": "Volkswagen", "vehicle_model": "Golf VIII 1.5 TSI", "price_eur": 24500.0, "mileage_km": 15000, "registration_year": 2021, "fuel_type": "Benzin", "dealer_city": "Berlin"
| # | listing_id | vehicle_make | vehicle_model | price_eur | mileage_km | registration_year |
|---|---|---|---|---|---|---|
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Meinestadt.de aggregates multiple distinct verticals under one domain. We build custom extraction schemas for their Branchenbuch, Stellenmarkt, and Immobilien sections, normalising the output into a unified warehouse format.
Extract comprehensive local business listings across all German municipalities, including addresses, contact details, and categories.
Capture regional job postings, apprenticeships, and employment opportunities with full descriptions and application links.
Scrape residential and commercial real estate data, including pricing, square footage, energy ratings, and broker details.
Aggregate local event calendars, ticket prices, venue information, and scheduling data across thousands of cities.
Extract and normalise latitude and longitude coordinates for precise mapping of businesses, properties, and venues.
Execute JavaScript to unmask protected phone numbers and email addresses hidden behind interactive elements.
Navigate complex regional hierarchies from federal states (Bundesländer) down to specific postal codes and districts.
Utilise German residential IPs to bypass geo-blocking and rate limits specific to DACH-region traffic.
Maintain a hash index of previously scraped records to deliver only new or modified listings on subsequent runs.
Brief in. Clean data out.
Specify target cities, postal codes, and data verticals (jobs, real estate, businesses).
We configure Scrapy / Playwright crawlers and DE-specific residential proxy pools.
Schema validation, null-rate checks, and contact detail verification before launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery, or Snowflake stage.
Extracting data from multi-vertical directory sites requires distinct handling for different page structures and strict regional compliance.
Meinestadt.de employs strict rate limiting and geo-blocking for non-DACH traffic. We route all requests through high-quality German residential proxies to maintain access and prevent IP bans.
Critical data points like phone numbers and email addresses are often masked or loaded asynchronously. We use Playwright to execute page scripts and trigger the necessary DOM events to reveal full contact information.
The DOM structure for a job posting differs entirely from a real estate listing or a business profile. We maintain separate, vertical-specific parsing logic that maps disparate HTML layouts into a unified, predictable JSON schema.
Local data is deeply nested within city and district categories. Our crawlers systematically traverse these hierarchical pagination structures to ensure comprehensive data capture without missing nested records.
Job postings and real estate listings expire quickly. We implement change-detection hashing to identify new, updated, or removed listings, delivering precise delta feeds rather than redundant full dumps.
Marketing agencies aggregate business directories to monitor local search presence, verify NAP (Name, Address, Phone) consistency, and build citations.
Sales teams extract newly registered businesses and contact details to build targeted regional outreach lists.
PropTech firms analyse listing prices, square footage, and regional availability to model property valuation trends.
HR consultancies and economists track job posting volume, required skills, and salary indications across different German municipalities.
Media companies and tourism boards compile local event data to populate regional calendars and recommendation engines.
Retailers map the geographic distribution of competing businesses to identify underserved areas for expansion.
"Meinestadt.de holds the definitive graph of German local commerce and regional employment — but extracting it requires navigating complex taxonomies and strict regional rate limits."
Most teams fail at German directory scraping because they rely on data centre IPs. We deploy DE-specific residential proxy pools, handle dynamic contact detail rendering via Playwright, and normalise disparate schema formats across jobs, real estate, and business verticals. We manage the infrastructure so you receive clean, queryable records.
Everything supported by our meinestadt.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 crawl orchestration and deduplication. Playwright handles JavaScript execution to unmask contact details and render dynamic map elements.
We maintain dedicated pools of German residential proxies to ensure high success rates and prevent geo-blocking during large-scale regional extraction.
Pipelines run on containerised infrastructure. Airflow handles scheduling across different verticals, ensuring timely delivery of delta updates.
Data delivered to where your team already works — no new tooling required.
About meinestadt.de scraping, legality, and pipeline operations.
Ask us directly →We extract only publicly available business, job, and real estate data. We do not extract personal user data or circumvent authentication mechanisms. Clients must ensure their use of the data complies with GDPR and local regulations, particularly regarding unsolicited B2B communication.
We utilise headless browsers (Playwright) to simulate user interaction, clicking 'reveal' buttons and executing the underlying JavaScript required to expose the full contact details before extraction.
Yes. We can configure pipelines to target specific municipalities, federal states (Bundesländer), or a defined list of postal codes to match your exact regional requirements.
We configure pipelines to run at your required cadence—daily or weekly. Change-detection logic ensures that expired listings are flagged and new listings are captured promptly.
Yes. Our schemas cover the Branchenbuch (business directory), Stellenmarkt (jobs), Immobilien (real estate), Veranstaltungen (events), and Auto (vehicles) sections.
German directories aggressively block traffic originating from known data centre IP ranges (like AWS or DigitalOcean) to prevent scraping. Residential IPs routed through German ISPs are necessary to maintain reliable access.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full export of the Branchenbuch or daily delta feeds of regional job postings — we scope, build, and operate the pipeline. Tell us what you need.
