Automating PPC Campaign Reports with Python

Tired of Manual PPC Reporting?

If you’re manually downloading spreadsheets and building the same charts every week, there’s a better way. With Python, you can automatically pull data from Google Ads and Microsoft Ads, format it, and even email reports—saving hours of time.

Why Automate PPC Reporting?

• Save time: No more repetitive tasks

• Reduce errors: Consistent data, every time

• Customize freely: Build the exact report your client or team needs

• Scale easily: Works whether you manage 1 account or 100

Getting Started: Tools You’ll Need

• Python 3

• Google Ads API & Microsoft Ads API credentials

• Pandas for data manipulation

• Jinja2 or ReportLab for formatting (optional)

• SMTP library or Gmail API to send reports

Install the Key Libraries

pip install google-ads pandas openpyxl

Sample: Pulling Google Ads Data

from google.ads.googleads.client import GoogleAdsClient

client = GoogleAdsClient.load_from_storage()
ga_service = client.get_service("GoogleAdsService")

query = ("""
    SELECT campaign.name, metrics.clicks, metrics.impressions,
           metrics.ctr, metrics.average_cpc
    FROM campaign
    WHERE segments.date DURING LAST_7_DAYS
""")

response = ga_service.search_stream(customer_id="INSERT_ID", query=query)

for batch in response:
    for row in batch.results:
        print(row.campaign.name, row.metrics.clicks)

Formatting Your Report

You can export your results to Google Sheets, Excel, or PDF. Use libraries like:

• gspread or openpyxl for spreadsheets

• matplotlib for visualizations

• pdfkit or ReportLab for PDF exports

Automating Report Delivery

Schedule your script to run weekly using:

• Task Scheduler (Windows)

• Cron Jobs (Mac/Linux)

• Cloud Functions for scale

And use smtplib to send the report by email automatically.

Want to automate your PPC reporting setup? Let’s build it together. I’ll help you set up a custom reporting workflow that saves time and looks great. Email me here.