为了使用Facebook的营销API，我需要一个可公开访问的网络服务器吗？ [英] Do I need a publicly accessible webserver in order to user Facebook's marketing API?

问题描述

也许我误会了一些事情。我之前提出了一个问题，我遇到了一个问题：访问Facebook Ads API蟒蛇。在图形应用程序中使用相同的标记可以正常工作。

在快速入门指南的某一点上，创建新的Facebook应用程序时，您可以插入一个应该是你的网站。

我没有网站，但我只是想从本地的电脑使用python调用Facebook API。这是可能吗？

编辑：所以这是什么让我感到困惑：

提供你的应用/网站的网址，例如
http：// localhost / my-marketing-api-app / 。

Localhost？如果我的PC上本地运行，我需要提供我的应用程序或网站的URL？是否需要一个URL或者是对该URL进行某种安全检查？

解决方案

我也是新来使用Facebook营销API为我的公司创建仪表板。我绝对不是专家，但希望我的经验可能对你有用。

我在Jupyter上使用Python 2.7进行我的Facebook Marketing API调用，并按照第7点（初始化营销API SDK）和8（获取广告帐户）从以下链接：

https://developers.facebook.com/docs/marketing-api/quickstart#init-sdk

我的代码开始是完全一样的作为点7& 8，当然，我不得不更改信息以适应我的帐户信息，我从一个单独的文件加载。 API调用结果在json中，所以我做了更多的处理，将它们转换为熊猫数据帧，然后将其保存为csv文件。

Maybe I'm misunderstanding something. I asked a question before about a problem I'm having accessing the Facebook Ads API with python. Using the same token works fine in the graph app.

At one point in the quick start guide, when creating a new facebook app, you plug in a URL of what is supposed to be your website.

I don't have a website though I just want to call the Facebook API from my local PC with python. Is this possible?

Edit: so this is what confuses me:

Provide the Site URL of your app/website, e.g. http://localhost/my-marketing-api-app/.

Localhost? Why do I need to provide a URL of my app or website if its running locally on my PC? Does it require a URL or does it do some kind of security check against that URL?

解决方案

I am also new to using the Facebook Marketing API to create dashboards for my firm. I am definitely not an expert, but hope my experience may be of use to you.

I am using Python 2.7 on Jupyter to do my Facebook Marketing API calls, and I followed points 7 (Initialize Marketing API SDK) and 8 (Get Ad Account) from the following link:

https://developers.facebook.com/docs/marketing-api/quickstart#init-sdk

The start of my codes are exactly the same as points 7 & 8, just that of course, I had to change the information to fit my account information, which I loaded from a separate file. The API call results are in json, so I did more processing to convert them into Panda dataframes, which I then save out as csv files.

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