Facebook 营销 API - Python 获取见解 - 已达到用户请求限制
Facebook Marketing API - Python to get Insights - User Request Limit Reached
所以我正在尽最大努力浏览 Facebook API。我需要创建一个脚本，每天将我公司的活动信息下载为 csv 文件，这样我就可以使用另一个脚本轻松地将信息上传到我们的数据库。
我终于有了可以将信息打印到日志的代码，但我已经达到了用户请求限制，因为我必须为每个活动分别调用 get_insights()。我想知道是否有人知道如何帮助我做到这一点，这样我就不必经常打电话给 facebook API。
如果找到一个可以获得每日支出的字段，我想做什么，这样我就不必在我的广告系列循环的每次迭代中调用 API，但我不能我的一生找到了这样做的方法。
#Import all the facebook mumbo jumbo
from facebookads.api import FacebookAdsApi
from facebookads.adobjects.adset import AdSet
from facebookads.adobjects.campaign import Campaign
from facebookads.adobjects.adsinsights import AdsInsights
from facebookads.adobjects.adreportrun import AdReportRun
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.business import Business
import time
#Set the login info
my_app_id = '****'
my_app_secret = '****'
my_access_token = '****'
#Start the connection to the facebook API
FacebookAdsApi.init(my_app_id, my_app_secret, my_access_token)
business = Business('****')
#Get all ad accounts on the business account
accounts = business.get_owned_ad_accounts(fields=[AdAccount.Field.id])
#iterate through all accounts in the business account
for account in accounts:
tempaccount = AdAccount(account[AdAccount.Field.id])
#get all campaigns in the adaccount
campaigns = tempaccount.get_campaigns(fields=[Campaign.Field.name,Campaign.Field])
#iterate trough all the campaigns in the adaccount
for campaign in campaigns:
print(campaign[Campaign.Field.name])
#get the insight info (spend) from each campaign
campaignsights = campaign.get_insights(params={'date_preset':'yesterday'},fields=[AdsInsights.Field.spend])
print (campaignsights)
花了一些时间来挖掘 API 和猜测，但我明白了！这是我的最终脚本：
# This program downloads all relevent Facebook traffic info as a csv file
# This program requires info from the Facebook Ads API: https://github.com/facebook/facebook-python-ads-sdk
# Import all the facebook mumbo jumbo
from facebookads.api import FacebookAdsApi
from facebookads.adobjects.adsinsights import AdsInsights
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.business import Business
# Import th csv writer and the date/time function
import datetime
import csv
# Set the info to get connected to the API. Do NOT share this info
my_app_id = '****'
my_app_secret = '****'
my_access_token = '****'
# Start the connection to the facebook API
FacebookAdsApi.init(my_app_id, my_app_secret, my_access_token)
# Create a business object for the business account
business = Business('****')
# Get yesterday's date for the filename, and the csv data
yesterdaybad = datetime.datetime.now() - datetime.timedelta(days=1)
yesterdayslash = yesterdaybad.strftime('%m/%d/%Y')
yesterdayhyphen = yesterdaybad.strftime('%m-%d-%Y')
# Define the destination filename
filename = yesterdayhyphen + '_fb.csv'
filelocation = "/cron/downloads/"+ filename
# Get all ad accounts on the business account
accounts = business.get_owned_ad_accounts(fields=[AdAccount.Field.id])
# Open or create new file
try:
csvfile = open(filelocation , 'w+', 0777)
except:
print ("Cannot open file.")
# To keep track of rows added to file
rows = 0
try:
# Create file writer
filewriter = csv.writer(csvfile, delimiter=',')
except Exception as err:
print(err)
# Iterate through the adaccounts
for account in accounts:
# Create an addaccount object from the adaccount id to make it possible to get insights
tempaccount = AdAccount(account[AdAccount.Field.id])
# Grab insight info for all ads in the adaccount
ads = tempaccount.get_insights(params={'date_preset':'yesterday',
'level':'ad'
},
fields=[AdsInsights.Field.account_id,
AdsInsights.Field.account_name,
AdsInsights.Field.ad_id,
AdsInsights.Field.ad_name,
AdsInsights.Field.adset_id,
AdsInsights.Field.adset_name,
AdsInsights.Field.campaign_id,
AdsInsights.Field.campaign_name,
AdsInsights.Field.cost_per_outbound_click,
AdsInsights.Field.outbound_clicks,
AdsInsights.Field.spend
]
);
# Iterate through all accounts in the business account
for ad in ads:
# Set default values in case the insight info is empty
date = yesterdayslash
accountid = ad[AdsInsights.Field.account_id]
accountname = ""
adid = ""
adname = ""
adsetid = ""
adsetname = ""
campaignid = ""
campaignname = ""
costperoutboundclick = ""
outboundclicks = ""
spend = ""
# Set values from insight data
if ('account_id' in ad) :
accountid = ad[AdsInsights.Field.account_id]
if ('account_name' in ad) :
accountname = ad[AdsInsights.Field.account_name]
if ('ad_id' in ad) :
adid = ad[AdsInsights.Field.ad_id]
if ('ad_name' in ad) :
adname = ad[AdsInsights.Field.ad_name]
if ('adset_id' in ad) :
adsetid = ad[AdsInsights.Field.adset_id]
if ('adset_name' in ad) :
adsetname = ad[AdsInsights.Field.adset_name]
if ('campaign_id' in ad) :
campaignid = ad[AdsInsights.Field.campaign_id]
if ('campaign_name' in ad) :
campaignname = ad[AdsInsights.Field.campaign_name]
if ('cost_per_outbound_click' in ad) : # This is stored strangely, takes a few steps to break through the layers
costperoutboundclicklist = ad[AdsInsights.Field.cost_per_outbound_click]
costperoutboundclickdict = costperoutboundclicklist[0]
costperoutboundclick = costperoutboundclickdict.get('value')
if ('outbound_clicks' in ad) : # This is stored strangely, takes a few steps to break through the layers
outboundclickslist = ad[AdsInsights.Field.outbound_clicks]
outboundclicksdict = outboundclickslist[0]
outboundclicks = outboundclicksdict.get('value')
if ('spend' in ad) :
spend = ad[AdsInsights.Field.spend]
# Write all ad info to the file, and increment the number of rows that will display
filewriter.writerow([date, accountid, accountname, adid, adname, adsetid, adsetname, campaignid, campaignname, costperoutboundclick, outboundclicks, spend])
rows += 1
csvfile.close()
# Print report
print (str(rows) + " rows added to the file " + filename)
然后我有一个 php 脚本获取 csv 文件并将其上传到我的数据库。关键是一次拉取所有洞察数据。然后您可以根据需要将其分解，因为每个广告都有关于其广告集、广告帐户和广告系列的信息。
我只想说
谢谢你。
正如 Marks Andre 所说 - 你成就了我的一天！
FB SDK 文档详尽无遗，但它完全缺乏像这样的日常任务的实际实施示例。已设置书签 - 页面将很快重新访问。
所以我唯一能真正为同胞做贡献的是：似乎有了更新的 facebook_business SDK，您可以简单地将导入语句中的 "facebookads" 完全替换为 "facebook_business"。
添加几个小函数来改进 LucyTurtle 的答案，因为它仍然容易受到 Facebook 的速率限制
import logging
import requests as rq
#Function to find the string between two strings or characters
def find_between( s, first, last ):
try:
start = s.index( first ) + len( first )
end = s.index( last, start )
return s[start:end]
except ValueError:
return ""
#Function to check how close you are to the FB Rate Limit
def check_limit():
def check_limit():
check=rq.get('https://graph.facebook.com/v3.3/act_'+account_number+'/insights?access_token='+my_access_token)
call=float(find_between(check.headers['x-business-use-case-usage'],'call_count":','}'))
cpu=float(find_between(check.headers['x-business-use-case-usage'],'total_cputime":','}'))
total=float(find_between(check.headers['x-business-use-case-usage'],'total_time":',','))
usage=max(call,cpu,total)
return usage
#Check if you reached 75% of the limit, if yes then back-off for 5 minutes (put this chunk in your 'for ad is ads' loop, every 100-200 iterations)
if (check_limit()>75):
print('75% Rate Limit Reached. Cooling Time 5 Minutes.')
logging.debug('75% Rate Limit Reached. Cooling Time 5 Minutes.')
time.sleep(300)
所以我正在尽最大努力浏览 Facebook API。我需要创建一个脚本，每天将我公司的活动信息下载为 csv 文件，这样我就可以使用另一个脚本轻松地将信息上传到我们的数据库。
我终于有了可以将信息打印到日志的代码，但我已经达到了用户请求限制，因为我必须为每个活动分别调用 get_insights()。我想知道是否有人知道如何帮助我做到这一点，这样我就不必经常打电话给 facebook API。
如果找到一个可以获得每日支出的字段，我想做什么，这样我就不必在我的广告系列循环的每次迭代中调用 API，但我不能我的一生找到了这样做的方法。
#Import all the facebook mumbo jumbo
from facebookads.api import FacebookAdsApi
from facebookads.adobjects.adset import AdSet
from facebookads.adobjects.campaign import Campaign
from facebookads.adobjects.adsinsights import AdsInsights
from facebookads.adobjects.adreportrun import AdReportRun
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.business import Business
import time
#Set the login info
my_app_id = '****'
my_app_secret = '****'
my_access_token = '****'
#Start the connection to the facebook API
FacebookAdsApi.init(my_app_id, my_app_secret, my_access_token)
business = Business('****')
#Get all ad accounts on the business account
accounts = business.get_owned_ad_accounts(fields=[AdAccount.Field.id])
#iterate through all accounts in the business account
for account in accounts:
tempaccount = AdAccount(account[AdAccount.Field.id])
#get all campaigns in the adaccount
campaigns = tempaccount.get_campaigns(fields=[Campaign.Field.name,Campaign.Field])
#iterate trough all the campaigns in the adaccount
for campaign in campaigns:
print(campaign[Campaign.Field.name])
#get the insight info (spend) from each campaign
campaignsights = campaign.get_insights(params={'date_preset':'yesterday'},fields=[AdsInsights.Field.spend])
print (campaignsights)
花了一些时间来挖掘 API 和猜测，但我明白了！这是我的最终脚本：
# This program downloads all relevent Facebook traffic info as a csv file
# This program requires info from the Facebook Ads API: https://github.com/facebook/facebook-python-ads-sdk
# Import all the facebook mumbo jumbo
from facebookads.api import FacebookAdsApi
from facebookads.adobjects.adsinsights import AdsInsights
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.business import Business
# Import th csv writer and the date/time function
import datetime
import csv
# Set the info to get connected to the API. Do NOT share this info
my_app_id = '****'
my_app_secret = '****'
my_access_token = '****'
# Start the connection to the facebook API
FacebookAdsApi.init(my_app_id, my_app_secret, my_access_token)
# Create a business object for the business account
business = Business('****')
# Get yesterday's date for the filename, and the csv data
yesterdaybad = datetime.datetime.now() - datetime.timedelta(days=1)
yesterdayslash = yesterdaybad.strftime('%m/%d/%Y')
yesterdayhyphen = yesterdaybad.strftime('%m-%d-%Y')
# Define the destination filename
filename = yesterdayhyphen + '_fb.csv'
filelocation = "/cron/downloads/"+ filename
# Get all ad accounts on the business account
accounts = business.get_owned_ad_accounts(fields=[AdAccount.Field.id])
# Open or create new file
try:
csvfile = open(filelocation , 'w+', 0777)
except:
print ("Cannot open file.")
# To keep track of rows added to file
rows = 0
try:
# Create file writer
filewriter = csv.writer(csvfile, delimiter=',')
except Exception as err:
print(err)
# Iterate through the adaccounts
for account in accounts:
# Create an addaccount object from the adaccount id to make it possible to get insights
tempaccount = AdAccount(account[AdAccount.Field.id])
# Grab insight info for all ads in the adaccount
ads = tempaccount.get_insights(params={'date_preset':'yesterday',
'level':'ad'
},
fields=[AdsInsights.Field.account_id,
AdsInsights.Field.account_name,
AdsInsights.Field.ad_id,
AdsInsights.Field.ad_name,
AdsInsights.Field.adset_id,
AdsInsights.Field.adset_name,
AdsInsights.Field.campaign_id,
AdsInsights.Field.campaign_name,
AdsInsights.Field.cost_per_outbound_click,
AdsInsights.Field.outbound_clicks,
AdsInsights.Field.spend
]
);
# Iterate through all accounts in the business account
for ad in ads:
# Set default values in case the insight info is empty
date = yesterdayslash
accountid = ad[AdsInsights.Field.account_id]
accountname = ""
adid = ""
adname = ""
adsetid = ""
adsetname = ""
campaignid = ""
campaignname = ""
costperoutboundclick = ""
outboundclicks = ""
spend = ""
# Set values from insight data
if ('account_id' in ad) :
accountid = ad[AdsInsights.Field.account_id]
if ('account_name' in ad) :
accountname = ad[AdsInsights.Field.account_name]
if ('ad_id' in ad) :
adid = ad[AdsInsights.Field.ad_id]
if ('ad_name' in ad) :
adname = ad[AdsInsights.Field.ad_name]
if ('adset_id' in ad) :
adsetid = ad[AdsInsights.Field.adset_id]
if ('adset_name' in ad) :
adsetname = ad[AdsInsights.Field.adset_name]
if ('campaign_id' in ad) :
campaignid = ad[AdsInsights.Field.campaign_id]
if ('campaign_name' in ad) :
campaignname = ad[AdsInsights.Field.campaign_name]
if ('cost_per_outbound_click' in ad) : # This is stored strangely, takes a few steps to break through the layers
costperoutboundclicklist = ad[AdsInsights.Field.cost_per_outbound_click]
costperoutboundclickdict = costperoutboundclicklist[0]
costperoutboundclick = costperoutboundclickdict.get('value')
if ('outbound_clicks' in ad) : # This is stored strangely, takes a few steps to break through the layers
outboundclickslist = ad[AdsInsights.Field.outbound_clicks]
outboundclicksdict = outboundclickslist[0]
outboundclicks = outboundclicksdict.get('value')
if ('spend' in ad) :
spend = ad[AdsInsights.Field.spend]
# Write all ad info to the file, and increment the number of rows that will display
filewriter.writerow([date, accountid, accountname, adid, adname, adsetid, adsetname, campaignid, campaignname, costperoutboundclick, outboundclicks, spend])
rows += 1
csvfile.close()
# Print report
print (str(rows) + " rows added to the file " + filename)
然后我有一个 php 脚本获取 csv 文件并将其上传到我的数据库。关键是一次拉取所有洞察数据。然后您可以根据需要将其分解，因为每个广告都有关于其广告集、广告帐户和广告系列的信息。
我只想说 谢谢你。 正如 Marks Andre 所说 - 你成就了我的一天！ FB SDK 文档详尽无遗，但它完全缺乏像这样的日常任务的实际实施示例。已设置书签 - 页面将很快重新访问。
所以我唯一能真正为同胞做贡献的是：似乎有了更新的 facebook_business SDK，您可以简单地将导入语句中的 "facebookads" 完全替换为 "facebook_business"。
添加几个小函数来改进 LucyTurtle 的答案，因为它仍然容易受到 Facebook 的速率限制
import logging
import requests as rq
#Function to find the string between two strings or characters
def find_between( s, first, last ):
try:
start = s.index( first ) + len( first )
end = s.index( last, start )
return s[start:end]
except ValueError:
return ""
#Function to check how close you are to the FB Rate Limit
def check_limit():
def check_limit():
check=rq.get('https://graph.facebook.com/v3.3/act_'+account_number+'/insights?access_token='+my_access_token)
call=float(find_between(check.headers['x-business-use-case-usage'],'call_count":','}'))
cpu=float(find_between(check.headers['x-business-use-case-usage'],'total_cputime":','}'))
total=float(find_between(check.headers['x-business-use-case-usage'],'total_time":',','))
usage=max(call,cpu,total)
return usage
#Check if you reached 75% of the limit, if yes then back-off for 5 minutes (put this chunk in your 'for ad is ads' loop, every 100-200 iterations)
if (check_limit()>75):
print('75% Rate Limit Reached. Cooling Time 5 Minutes.')
logging.debug('75% Rate Limit Reached. Cooling Time 5 Minutes.')
time.sleep(300)