Python is the fastest way to automate business tasks. These 10 scripts cover the most common patterns — each one is production-ready with error handling and logging.
1. Email Inbox Classifier
Connects to Gmail via IMAP, classifies incoming emails using Claude API (support, sales, billing, spam), and auto-labels them. Runs as a cron job every 5 minutes.
import imaplib, anthropic
def classify_email(subject, body):
client = anthropic.Anthropic()
resp = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=50,
messages=[{"role": "user", "content":
f"Classify: {subject}\n{body[:500]}\n"
"Reply with ONE word: support/sales/billing/spam"}]
)
return resp.content[0].text.strip().lower()2. PDF Invoice Data Extractor
Reads PDF invoices, extracts vendor, amount, date, and line items using AI, then pushes to your accounting spreadsheet or API.
3. Weekly Report Generator
Queries your database, calculates KPIs, generates a narrative summary with AI, and emails it as a formatted HTML report every Monday.
4. Slack Channel Summariser
Pulls the last 24 hours of messages from a Slack channel, generates a TL;DR summary, and posts it as a thread. Keeps stakeholders informed without reading every message.
5. CSV Data Cleaner and Validator
Reads messy CSVs, normalises formats (dates, phone numbers, addresses), flags duplicates, and outputs a clean version. Handles encoding issues automatically.
6. API Health Monitor
Pings your endpoints every 60 seconds, tracks response times, and sends a Slack alert if anything is slow or down. Includes a daily uptime summary.
7. Customer Onboarding Email Sequence
Triggered when a new customer is added to your CRM. Sends a sequence of personalised emails at day 0, 3, 7, and 14 — each one generated by AI based on the customer's profile.
8. Database Backup and Test
Dumps your PostgreSQL/MySQL database nightly, compresses it, uploads to S3, and runs a restore test on a throwaway container to verify the backup actually works.
9. Competitor Price Tracker
Scrapes competitor pricing pages daily (respecting robots.txt), tracks changes, and alerts you when prices shift. Stores history in SQLite for trend analysis.
10. Meeting Notes Summariser
Takes raw meeting transcripts (from Zoom, Teams, or manual notes), extracts action items, decisions, and owners, and posts them to your project management tool.
Making These Production-Ready
The difference between a script and a system is error handling, logging, and monitoring. Each of these should have retry logic for API calls, structured logging, and alerts on failure.
Need help turning scripts into production systems? We build exactly this.