How to Automate Amazon Ads Campaign Reports with Python

Tired of manually downloading Amazon Ads campaign reports every morning? This Python script will save you 2+ hours daily.

Managing Amazon Ads campaigns often means sifting through performance data manually. You might have to log into the Amazon Ads console, select reports, choose date ranges, and click download dozens of times each week. It's repetitive, error-prone, and wastes valuable developer time that could be spent analyzing trends or optimizing ad strategies.

The Manual Way (And Why It Breaks)

Most developers who don't automate this process log in manually and hit “Download” on each Sponsored Products campaign report. They usually copy-paste data into spreadsheets or CSV files. When you're managing multiple accounts or campaigns, the task becomes tedious. You risk hitting API limits, especially when downloading large datasets, or forgetting to update reports on time.

Additionally, manual downloads don’t scale. You're likely to miss data points or introduce inconsistencies. The time spent on these tasks could easily be redirected toward more strategic work like A/B testing or campaign optimization.

The Python Approach

Here’s a simplified version of how you might automate it with Python. This example shows the core logic using requests and basic report parsing:

import requests
import json
from datetime import datetime, timedelta

# Dummy session setup
session = requests.Session()
auth_token = "your_auth_token"
headers = {
    "Authorization": f"Bearer {auth_token}",
    "Content-Type": "application/json"
}

# Set date range
end_date = datetime.now().strftime('%Y-%m-%d')
start_date = (datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d')

# Example API call to fetch campaign report
url = "https://advertising-api.amazon.com/v2/reports"
payload = {
    "reportDate": start_date,
    "reportType": "SP_CAMPAIGN",
    "timeUnit": "DAILY",
    "format": "JSON"
}

response = session.post(url, headers=headers, json=payload)

if response.status_code == 200:
    report_data = response.json()
    print("Campaign report fetched successfully.")
else:
    print(f"Error: {response.status_code}")

This code fetches a report from the Amazon Ads API using a token and sets a date range. You’d need to implement authentication and handle pagination for complete datasets. At scale, this approach struggles with retries, rate limiting, and malformed responses. It's also not secure or reusable across multiple accounts without significant modification.

What the Full Tool Handles

Compared to a DIY script, the Marketplace Ads Report Automation Tool handles:

• Secure authentication with Amazon Ads API (OAuth2)
• Automatic retry logic for failed API calls
• Support for multiple campaign types and date ranges
• Exporting to CSV, JSON, or DataFrame formats
• Scheduling via cron or task scheduler
• Error handling for common issues like timeouts or missing data

Running It

Using the full tool is simple. First, set up credentials in a JSON file:

{
  "client_id": "your_client_id",
  "client_secret": "your_client_secret",
  "profile_id": "your_profile_id"
}

Then, in your Python script:

from amazon_ads_tool import Reporter

reporter = Reporter(credentials_file='creds.json')
df = reporter.get_report(days=7)
df.to_csv('weekly_report.csv')

You can specify how many days of data to pull using the days parameter. The tool returns a pandas DataFrame, making it easy to integrate into existing workflows.

Results

This automation cuts down manual reporting time by over 2 hours per week. It produces clean, structured CSV files that can be fed into dashboards or analytics pipelines. With one command, you get consistent, repeatable reports — no more forgetting to download or misplacing data.

Get the Script

Skip the build and get a polished, tested solution that does everything you need. At just $29 one-time, it’s a small investment for the time it saves.

Download Marketplace Ads Report Automation Tool →

$29 one-time. No subscription. Works on Windows, Mac, and Linux.

Built by OddShop — Python automation tools for developers and businesses.