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11880 Germany Business Directory Leads Scraper
Scrape German business listings from 11880 with business name, phone, email, full address, category and a direct link. Search by keyword and city. Export to JSON, CSV or Excel.
11880-germany-scraper.json 200 OK
{ "businessName": "BABU Restaurant", "phone": "(030) 46994966", "email": "[email protected]", "website": "http://www.babu-restaurant.com", "address": "Treptower Str. 95, 12059 Berlin", "street": "Treptower Str. 95", "postalCode": "12059", "city": "Berlin", "region": "Berlin" }
你会得到什么
每次运行都返回干净、带类型的记录,可直接用于你的 CRM、表格或数据库。
- 每个结果对应一条干净记录,已去重并规范化
- JSON、CSV 或 Excel 的稳定结构,也可通过 Apify API 读取
- 在云端按用量付费,无需安装或维护
返回的字段
Business NamePhoneEmailWebsiteAddressStreetPostal CodeCityRegionCategoryRatingReview CountOpening HoursLatitude
示例输出
一条真实的示例记录,正是你收到的结构。
| Business Name | Phone | Website | |
|---|---|---|---|
| BABU Restaurant | (030) 46994966 | [email protected] | http://www.babu-restaurant.com |
| Pho 56 Vietnamesisches Restaurant | (030) 88716686 | [email protected] | http://www.pho56.de |
| Restaurant Lehmofen | (030) 6557044 | [email protected] | http://www.restaurant-lehmofen-be… |
| Meena Kumari | (030) 44052545 | [email protected] | http://www.meenakumari.de |
| Restaurant Morgenland Türkisch - … | (030) 40395995 | [email protected] | http://www.morgen-land.de |
GET /11880-germany-scraper
{ "businessName": "BABU Restaurant", "phone": "(030) 46994966", "email": "[email protected]", "website": "http://www.babu-restaurant.com", "address": "Treptower Str. 95, 12059 Berlin", "street": "Treptower Str. 95", "postalCode": "12059", "city": "Berlin", "region": "Berlin" }
相关爬虫
常见问题
Which fields matter most for lead generation?
Business name, phone and email are the core contact fields, with the full address and category to help you segment and qualify each lead.
Does every listing include an email?
Email is included whenever the business has published one. Phone and address coverage is very high across categories.
Can I search any German city and category?
Yes. Combine any keyword with any German city. Use German category terms (for example `rechtsanwalt` for lawyer) for the broadest coverage.
How fresh is the data?
Listings are read live at run time, so each record reflects the directory at the moment of the run (see observedAt).