如何查找数千家公司名称?

发布于 2024-07-07 08:11:27 字数 1560 浏览 8 评论 0原文

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(7

红衣飘飘貌似仙 2024-07-14 08:11:27

我使用 假名生成器

我可以使用假名称生成器身份做什么?

成千上万的个人、公司和政府组织发现假名生成器可以带来有用且富有创意的事情。 以下是一些示例:

  • 质量测试数据可能很难获得,尤其是在法律(例如 HIPAA)禁止使用真实数据的情况下。 详细了解使用真实数据进行测试的危险
  • 许多网站(例如留言板)设计不佳,导致外国访问者很难注册帐户。 使用虚假信息,您可以轻松填写​​注册表并登录该网站。
  • 填写表单时使用虚假信息,以避免泄露个人信息。
  • 生成一个虚假身份,用作您在互联网上的笔名。 这使您可以将现实生活和互联网生活分开。
  • 获取书籍或故事中人物名称的想法。
  • 生成的信用卡可用于测试基本的客户端/服务器端验证技术,而不会意外处理真实的卡。
  • 生成的国民身份号码可用于测试基本的客户端/服务器端验证技术,而不会冒泄露真实信息的风险...

I use Fake Name generator:

What can I use the Fake Name Generator identities for?

Thousands of individuals, companies, and government organizations have found useful and creative things to do with the Fake Name Generator. Here are a few examples:

  • Quality test data can be hard to come by, especially with laws (such as HIPAA) preventing use of real data. Read more on the dangers of testing with real data.
  • Many websites, such message boards, are poorly designed, making it difficult for visitors from foreign countries to sign up for accounts. Using fake information, you can easily fill out the sign up forms and log in to the site.
  • Use fake information when filling out forms to avoid giving out personal information.
  • Generate a false identity to use as your pseudonym on the internet. This allows you to keep your real life and your internet life separate.
  • Get ideas for names to use for characters in a book or story.
  • Generated credit cards can be used to test basic client-/server-side validation techniques without accidentally processing a real card.
  • Generated national identity numbers can be used to test basic client-/server-side validation techniques without risking disclosure of real information...
紅太極 2024-07-14 08:11:27

一个非常好的生成器是: generatedata

非常可定制:您可以生成名称、街道、电话号码、指定列表中的随机条目。

您可以以不同的格式导出生成的数据,例如:SQLHTMLExcelXML< /strong> 和 CSV

A pretty good generator is: generatedata.

It's very customizable: you can generate names, streets, telephone numbers, a random entry from a specified list.

You can export the generated data in different formats like: SQL, HTML, Excel, XML and CSV.

街道布景 2024-07-14 08:11:27

您可以抓取类似 Wikipedia 查找名称,或者您可以从您选择的字典(/usr/share/dict/words 等)中获取随机(当然,非攻击性的)名词并附加“公司”、“股份有限公司”、“有限公司”随机。

You could scrape a public source like Wikipedia for names, or you could just grab random (non-offensive, of course) nouns from your dictionary of choice (/usr/share/dict/words, etc.) and append "Company", "Corporation", "LTD" at random.

若相惜即相离 2024-07-14 08:11:27

我个人强烈建议不要使用任何形式的实际数据来测试/演示应用程序。

当使用真实的电子邮件地址并且电子邮件意外地发送给各种客户时,我不得不多次进去收拾残局。

我会使用 RedGate 中的工具来添加数据,使其成为虚拟数据,真实数据风险太大,至少在我看来是这样。

I personally STRONGLY recommend against using ACTUAL data of any form for testing/demoing an application.

I have had to go in too many times and pick up the pieces when real e-mail addresses were used and emails accidentally went out to all kinds of customers.

I would use something like the tools from RedGate to add data, make it dummy data, real data is too risky, at least in my opinion.

绝影如岚 2024-07-14 08:11:27

我建议有一个“随机字符”生成器,将“公司名称”“公司类型”等串在一起。 这将最大限度地减少实际显示真实公司名称的机会。

另外,请查看 Ipsum Lorum 生成器; 他们可能有一些建议。

I would suggest having a "random character" generator that strings together "company name" "companytype" and so forth. This will minimize the chance of actually displaying a real company's name.

Also, check out the Ipsum Lorum generators; they might have some tips.

熟人话多 2024-07-14 08:11:27

如果您只是想生成名称,我会使用上述两个选项之一。 如果您正在寻找更复杂的数据,Redgate 可以提供 SQL 数据生成器。 我从未使用过这个程序,我只是知道它的存在。

If you are simply looking to generate names, I would use one of the two above options. If you are looking for more complex data, Redgate makes a SQL data generator. I have never used this program, I simply know of its existence.

給妳壹絲溫柔 2024-07-14 08:11:27

Faker 是一个以编程方式生成假名(公司和个人)的好工具。 基本上可以在 Python、Ruby 和 Perl 中找到相同的实现。 我不确定它的起源,但绝对值得检查一下您是否熟悉这些编程语言中的任何一种。 它还可以使用英语以外的语言生成假名。

链接:

以下是 PyFaker 自述文件的摘录,只是为了让您大致了解一下:

In [1]: from pyfaker import Fake

In [2]: fake = Fake(lang_code='en')

In [3]: fake.Address.street_address()
Out[3]: u'72449 Ward Shore'

In [4]: fake.Address.street_address()
Out[4]: u'7954 Waelchi Mall'

In [5]: fake.Company.bs()
Out[5]: u'whiteboard visionary markets'

In [6]: fake.Company.bs()
Out[6]: u'exploit innovative paradigms'

In [7]: fake.Name.name()
Out[7]: u'Aaliyah Bauch'

In [8]: fake.Name.name()
Out[8]: u"Chad O'Keefe"

A great tool for programmatically generating fake names (both company and individual) is Faker. Basically the same implementation can be found in Python, Ruby, and Perl. I'm not sure where it originated, but definitely worth checking out if you're comfortable with any of those programming languages. It can also generate fake names from languages other than English.

Links:

Here's an excerpt from PyFaker's Readme, just to give you a flavor of it:

In [1]: from pyfaker import Fake

In [2]: fake = Fake(lang_code='en')

In [3]: fake.Address.street_address()
Out[3]: u'72449 Ward Shore'

In [4]: fake.Address.street_address()
Out[4]: u'7954 Waelchi Mall'

In [5]: fake.Company.bs()
Out[5]: u'whiteboard visionary markets'

In [6]: fake.Company.bs()
Out[6]: u'exploit innovative paradigms'

In [7]: fake.Name.name()
Out[7]: u'Aaliyah Bauch'

In [8]: fake.Name.name()
Out[8]: u"Chad O'Keefe"
~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文