Facebook Marketing API-通过Python获得见解-达到用户请求限制

Question

因此，我正在尽力通过Facebook API进行导航。我需要创建一个脚本，该脚本每天以CSV文件的形式下载我公司的广告系列信息，因此我可以使用另一个脚本轻松地将信息上传到我们的数据库中。

我终于有了可以将信息打印到日志的代码，但是由于用户必须分别为每个单个活动调用get_insights（），因此我达到了用户请求限制。我想知道是否有人知道如何帮助我做到这一点，所以我不必经常调用facebook API。

如果我找到一个可以获取每日支出的字段，那么我该怎么办，这样我就不必在for Campaign循环的每次迭代中都调用API，但是我一生都无法找到解决方法。

#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)

Answer 1

花了一段时间浏览API和进行猜测，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，我有了一个使用csv文件并将其上传到我的数据库的php脚本。关键是将所有洞察力数据汇总在一起。然后，您可以根据需要将其分解，因为每个广告都具有有关其广告集，帐户和广告系列的信息。

Answer 2

添加几个小功能以改进 LucyTurtle 的答案，因为它仍然容易受到 Facebook 的速率限制的影响

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)