TwitterAdsWindsorApi 1.0.4
Easy access to windsor.ai Twitter Ads APIs

# TwitterAdsWindsorApi

`TwitterAdsWindsorApi` is a python package makes it easy to get marketing data from Twitter into python.

[Windsor.ai](https://windsor.ai/) allows to get marketing data from any platform. It simplifies the complexity of dealing with multiple platforms, unlocking unified, valuable information in a format that matters to you. For more details checkout [onboard.windsor.ai](https://onboard.windsor.ai/).

## Features

✅ Easy access to marketing data via windsor.ai APIs

✅ Lightweight (single dependency - [requests](https://pypi.org/project/requests/))

✅ Supports both python 2.7+ and 3

## Other Supported marketing and platforms

✅ Google Analytics

✅ Google Ads

✅ Facebook Ads

✅ Facebook organic

✅ Bing Ads

✅ Linkedin Ads

✅ Hubspot

✅ Salesforce

✅ Google search console

✅ Criteo

✅ Snapchat

✅ Tiktok

✅ Appnexus

✅ Campaign Manager

✅ Twitter

✅ Awin

✅ Adroll

✅ Shopify

✅ Klaviyo

✅ Airtable

✅ Intercom

✅ Zoho

✅ Idealo

✅ Pinterest

✅ Appsflyer

✅ Adobe





## Usage

### Installation

```sh
pip install TwitterAdsWindsorApi
```

### Registration

You need to get a free API key to access windsor.ai's APIs. Register your account first and add a datasource like facebook ads and then get the API key. For more details check out our official [API documentation](https://windsor.ai/api-documentation/) and [this article](https://windsor.ai/api-fields/). Get the API key at https://onboard.windsor.ai 

### Minimal Example

```python
from TwitterAdsWindsorApi.client import Client
from TwitterAdsWindsorApi.enums import LAST_7D
from TwitterAdsWindsorApi.enums import FIELD_SOURCE, FIELD_CAMPAIGN, FIELD_CLICKS

api_key = 'xxx'  # Get it from your windsor.ai account. It's recommended to store and get this securely, for example an env variable.

# Setup a client object with the API key
client = Client(api_key)

# Call the /connectors API.
campaign_clicks = client.connectors(date_preset=LAST_7D, fields=[FIELD_SOURCE, FIELD_CAMPAIGN, FIELD_CLICKS])

# can also be run like:
campaign_clicks = client.connectors(date_preset='last_7d', fields=['date','clicks','spend'])

# Response will be a python dict (parsed from the json response recieved).
print(campaign_clicks)

[
  {'date': '2021-04-15', 'clicks': 3, 'spend': 8.139999999999999},
  {'date': '2021-04-15', 'clicks': 2, 'spend': 6.51},
  {'date': '2021-04-15', 'clicks': 1, 'spend': 3.88},
  {'date': '2021-04-15', 'clicks': 4, 'spend': 3.275311},
  {'date': '2021-04-15', 'clicks': 6, 'spend': 1.408321}
  ],

# Get Google Ads data only
campaign_clicks = client.connectors(
    connector="google_ads",
    date_preset=LAST_7D,
    fields=["account_name", "campaign", "clicks", "datasource", "source", "spend"]
)

# Get Facebook Ads data only
campaign_clicks = client.connectors(
    connector="facebook",
    date_preset=LAST_7D,
    fields=["account_name", "campaign", "clicks", "datasource", "source", "spend"]
)

# Get list of all possible connectors (i.e: Google Ads, Facebook Ads, Twitter, Tik Tok etc.)
list_connectors = client.list_connectors
print(list_connectors)

['adform', 'adobe', 'adroll', 'all', 'amazon_ads', 'amazon_s3', 'amazon_sp', 'apple_search_ads', 'appnexus', 'appsflyer', 'awin', 'bing', 'cm360', 'criteo' 'currency_conversion', 'daisycon', 'dv360', 'facebook', 'facebook_leads', 'facebook_organic', 'gmailcsv', 'google_ad_manager', 'google_ads', 'google_pagespeed', 'googleanalytics', 'googleanalytics4', 'googlesheets', 'hubspot', 'idealo', 'instagram', 'klaviyo', 'linkedin', 'linkedin_organic', 'mailchimp', 'outbrain', 'pinterest', 'quora', 'reddit', 'rtbhouse', 'salesforce', 'searchconsole', 'sftp', 'shopify', 'snapchat', 'stripe', 'taboola', 'tiktok', 'twitter', 'twitter_organic', 'vertaa', 'zoho']

# Sample with date specific ranges.
dataset_with_ranges = client.connectors(
      date_from="2022-10-18",
      date_to="2022-10-20",
      fields=["account_name", "campaign", "clicks", "datasource", "source", "spend", "date"]
)
```

### List of fields
The full list of fields that the package accepts is given in https://windsor.ai/connector/all/. Fields can be common to all the connectors or specific for each company.