How to export the response of Facebook Marketing API Ads insights to CSV.
Below are my code and the response from it.
from facebook_business.api import FacebookAdsApi
from facebook_business.adobjects.adaccount import AdAccount
app_id = 'xxxxxxxxxxxxx'
app_secret = 'xxxxxxxxxxxxx'
access_token = 'xxxxxxxxx'
FacebookAdsApi.init(app_id, app_secret, access_token)
params = {'time_range': {'since': '2020-01-01', 'until': '2020-12-25'},
'time_increment':1,
'level': 'adset',
'sort': ['spend_descending'],
'export_format':'csv'}
fields = ['account_name',
'campaign_name',
'campaign_id',
'adset_name',
'adset_id',
'impressions',
'clicks',
'cpm',
'spend',
'ctr']
insights = AdAccount('act_332828570147114').get_insights(params=params, fields=fields)
print(insights)
Response is
[<AdsInsights> {
"account_name": "xxx",
"adset_id": "xxx",
"adset_name": "xxx",
"campaign_id": "xxx",
"campaign_name": "xxx",
"clicks": "xxx",
"cpm": "xxx",
"ctr": "xxx",
"date_start": "xxx",
"date_stop": "xxx",
"impressions": "xxx",
"spend": "xxx"
}, <AdsInsights> {
"account_name": "xxx",
"adset_id": "xxx",
"adset_name": "xxx",
"campaign_id": "xxx",
"campaign_name": "xxx",
"clicks": "xxx",
"cpm": "xxx",
"ctr": "xxx",
"date_start": "xxx",
"date_stop": "xxx",
"impressions": "xxx",
"spend": "xxx"
}]
How can we export this response to CSV format? Any suggestion will be highly appreciated.
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Answer
from facebook_business.api import FacebookAdsApi
from facebook_business.adobjects.adaccount import AdAccount
app_id = 'xxxxxxxxxxxxx'
app_secret = 'xxxxxxxxxxxxx'
access_token = 'xxxxxxxxx'
FacebookAdsApi.init(app_id, app_secret, access_token)
params = {'time_range': {'since': '2020-01-01', 'until': '2020-12-25'},
'time_increment':1,
'level': 'adset',
'sort': ['spend_descending'],
'export_format':'csv'}
fields = ['account_name',
'campaign_name',
'campaign_id',
'adset_name',
'adset_id',
'impressions',
'clicks',
'cpm',
'spend',
'ctr']
insights = list(AdAccount('act_332828570147114').get_insights(params=params, fields=fields))
import pandas as pd
df=pd.DataFrame(columns=fields)
for field in fields:
df["{}".format(field)]=[x['{}'.format(field)] for x in insights]
df.to_csv("insights.csv",index=False)
Interact with the adinsights objects as dictionaries and add them to dataframe before saving as csv!