Kaufland Locations in Germany
Download the complete list of 786 Kaufland store locations including geo-coded addresses, email, phone numbers, operating hours, and other retail business attributes.
Sample Kaufland Stores Data
A preview of 5 sample Kaufland Stores store locations and dataset structure, including city and state breakdowns.
| Name | City | Street | Country | Zip Code | Latitude | Longitude | Phone | Created At | Domain | Open Hours | Updated At | Url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kaufland Mayen #56727 | Mayen | Koblenzer Straße 174 A | DE | 56727 | 50.3267881 | 7.2491486 | 02651/95610 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/mayen-7990.html |
| Kaufland Hohen Neuendorf #16540 | Hohen Neuendorf | Schönfließer Straße 66 | DE | 16540 | 52.6711973 | 13.2804385 | 03303/297780 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/hohen-neuendorf-7970.html |
| Kaufland Sinzig #53489 | Sinzig | Industriestraße 10 | DE | 53489 | 50.5475557 | 7.2589109 | 02642/9051010 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/sinzig-8130.html |
| Kaufland Blankenfelde-Mahlow #15831 | Blankenfelde-Mahlow | Am Lückefeld 97 | DE | 15831 | 52.3572024 | 13.4326078 | 03379/3221240 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/blankenfelde-mahlow-8110.html |
| Kaufland Fulda #36037 | Fulda | Am Rosengarten 7 | DE | 36037 | 50.5499042 | 9.6716991 | 0661/380240 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/fulda-7960.html |
[
{
"name": "Kaufland Mayen #56727",
"city": "Mayen",
"country": "DE",
"created_at": "2026-07-01T11:43:48.772Z",
"domain": "kaufland.de",
"latitude": 50.3267881,
"longitude": 7.2491486,
"open_hours": "Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00",
"phone": "02651/95610",
"street": "Koblenzer Straße 174 A",
"updated_at": "2026-07-01T11:43:48.772Z",
"url": "https://filiale.kaufland.de/service/filiale/mayen-7990.html",
"zip_code": "56727"
},
{
"name": "Kaufland Hohen Neuendorf #16540",
"city": "Hohen Neuendorf",
"country": "DE",
"created_at": "2026-07-01T11:43:48.772Z",
"domain": "kaufland.de",
"latitude": 52.6711973,
"longitude": 13.2804385,
"open_hours": "Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00",
"phone": "03303/297780",
"street": "Schönfließer Straße 66",
"updated_at": "2026-07-01T11:43:48.772Z",
"url": "https://filiale.kaufland.de/service/filiale/hohen-neuendorf-7970.html",
"zip_code": "16540"
},
{
"name": "Kaufland Sinzig #53489",
"city": "Sinzig",
"country": "DE",
"created_at": "2026-07-01T11:43:48.772Z",
"domain": "kaufland.de",
"latitude": 50.5475557,
"longitude": 7.2589109,
"open_hours": "Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00",
"phone": "02642/9051010",
"street": "Industriestraße 10",
"updated_at": "2026-07-01T11:43:48.772Z",
"url": "https://filiale.kaufland.de/service/filiale/sinzig-8130.html",
"zip_code": "53489"
},
{
"name": "Kaufland Blankenfelde-Mahlow #15831",
"city": "Blankenfelde-Mahlow",
"country": "DE",
"created_at": "2026-07-01T11:43:48.772Z",
"domain": "kaufland.de",
"latitude": 52.3572024,
"longitude": 13.4326078,
"open_hours": "Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00",
"phone": "03379/3221240",
"street": "Am Lückefeld 97",
"updated_at": "2026-07-01T11:43:48.772Z",
"url": "https://filiale.kaufland.de/service/filiale/blankenfelde-mahlow-8110.html",
"zip_code": "15831"
},
{
"name": "Kaufland Fulda #36037",
"city": "Fulda",
"country": "DE",
"created_at": "2026-07-01T11:43:48.772Z",
"domain": "kaufland.de",
"latitude": 50.5499042,
"longitude": 9.6716991,
"open_hours": "Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00",
"phone": "0661/380240",
"street": "Am Rosengarten 7",
"updated_at": "2026-07-01T11:43:48.772Z",
"url": "https://filiale.kaufland.de/service/filiale/fulda-7960.html",
"zip_code": "36037"
}
]# Kaufland Locations in Germany ## Dataset Information - **Total Records**: 786 - **Country**: DE - **Price**: $75 - **Last Updated**: 10/5/2026 ## Categories - Supermarkets & Grocery Stores ## Sample Data | NAME | CITY | STREET | COUNTRY | ZIP_CODE | LATITUDE | LONGITUDE | PHONE | CREATED_AT | DOMAIN | OPEN_HOURS | UPDATED_AT | URL | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Kaufland Mayen #56727 | Mayen | Koblenzer Straße 174 A | DE | 56727 | 50.3267881 | 7.2491486 | 02651/95610 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/mayen-7990.html | | Kaufland Hohen Neuendorf #16540 | Hohen Neuendorf | Schönfließer Straße 66 | DE | 16540 | 52.6711973 | 13.2804385 | 03303/297780 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/hohen-neuendorf-7970.html | | Kaufland Sinzig #53489 | Sinzig | Industriestraße 10 | DE | 53489 | 50.5475557 | 7.2589109 | 02642/9051010 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/sinzig-8130.html | | Kaufland Blankenfelde-Mahlow #15831 | Blankenfelde-Mahlow | Am Lückefeld 97 | DE | 15831 | 52.3572024 | 13.4326078 | 03379/3221240 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/blankenfelde-mahlow-8110.html | | Kaufland Fulda #36037 | Fulda | Am Rosengarten 7 | DE | 36037 | 50.5499042 | 9.6716991 | 0661/380240 | 2026-07-01T11:43:48.772Z | kaufland.de | Monday|07:00|22:00,Tuesday|07:00|22:00,Wednesday|07:00|22:00,Thursday|07:00|22:00,Friday|07:00|22:00,Saturday|07:00|22:00,Sunday|00:00|00:00 | 2026-07-01T11:43:48.772Z | https://filiale.kaufland.de/service/filiale/fulda-7960.html | ## Data Fields - name - city - street - country - zip_code - latitude - longitude - phone - created_at - domain - open_hours - updated_at - url
Kaufland Locations by City
As of October 2026, there are 786 Kaufland locations across the Germany. The cities with the highest concentration of stores are Berlin (35), Hamburg (10), and Dresden (9).
| Rank | City | Stores | % of total |
|---|---|---|---|
| 1 | Berlin | 35 | 4.5% |
| 2 | Hamburg | 10 | 1.3% |
| 3 | Dresden | 9 | 1.1% |
| 4 | Leipzig | 9 | 1.1% |
| 5 | Köln | 6 | 0.8% |
| 6 | Stuttgart | 5 | 0.6% |
| 7 | Dortmund | 5 | 0.6% |
| 8 | München | 5 | 0.6% |
| 9 | Duisburg | 5 | 0.6% |
| 10 | Essen | 4 | 0.5% |
AI agent instructions
Find and download Kaufland store location data with AI
Give your AI agent a ready-made prompt to locate the Kaufland dataset, securely request your API key, and download all 786 records from Agenty Marketplace.
This prompt works with Cursor, Claude, OpenAI, and other AI agents that can make API requests. Learn how to connect agents using our MCP server or review the API documentation.
- 1
Find the dataset
Search by store name and select the exact Kaufland locations dataset.
- 2
Download securely
Authenticate privately and retrieve the current machine-readable file.
- 3
Use the data
Analyze, filter, or export the downloaded records for your task.
GET https://api.agenty.com/v2/datasets?search=KauflandGET https://api.agenty.com/v2/datasets/{agent_id}/downloadUpdated October 2026. API keys should stay private and must never be included in prompts, URLs, logs, or generated files.
Copy the instructions for AI agents.
Frequently asked questions
How many Kaufland stores are in Germany?
There are 786 Kaufland stores in Germany as of October 2026.
What format is the Kaufland dataset delivered in?
The dataset is delivered as a CSV file with 12 fields per record, including address, phone number, operating hours, and coordinates. Custom delivery formats such as JSON, XML, Excel (XLSX), API access, and database exports is also available for subscription customers. Contact support to discuss custom data delivery or API requirements.
How often is the Kaufland store locations data updated?
We refresh the data monthly. The current dataset was last updated on October 2026.
Can I use this data commercially?
Yes. The dataset is licensed for commercial use including competitive analysis, LLM/AI training, and market research.
Turn the web into your data advantage
Collect and transform web data at scale - from POI and location data to competitor monitoring, market research, product intelligence, and AI-ready datasets. One platform to scrape, monitor, and extract the data your business needs.
- Custom web scraping at scale
- Real-time price monitoring
- LLM training data curation
- Structured JSON & CSV exports
- Anti-bot bypass built-in
- 99.9% uptime SLA
Add to Chrome — it's freeGet a free sample dataset from any website before you commit.
