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Step by Step Guide to Building a Sendy API Integration in Python

Aug 17, 20246 minute read

Introduction

Hey there, fellow developer! Ready to supercharge your email marketing game with Sendy? In this guide, we'll walk through building a Python integration for the Sendy API. It's easier than you might think, and by the end, you'll be automating your email campaigns like a pro.

Prerequisites

Before we dive in, make sure you've got:

  • A Python environment (3.6+ recommended)
  • The requests library installed (pip install requests)
  • Your Sendy API credentials handy

Setting up the project

Let's kick things off by creating a new Python file. Call it sendy_api.py or whatever tickles your fancy. At the top, we'll import our necessary modules:

import requests import json import argparse

Configuring the API connection

Now, let's set up our connection to the Sendy API:

API_URL = "https://your-sendy-installation.com/api" API_KEY = "your_api_key_here" def send_request(endpoint, data): data['api_key'] = API_KEY response = requests.post(f"{API_URL}/{endpoint}", data=data) return response.json()

Implementing core Sendy API functions

Time to get our hands dirty with some core functions:

def subscribe_user(email, list_id): data = { 'email': email, 'list': list_id, 'boolean': 'true' } return send_request('subscribe', data) def unsubscribe_user(email, list_id): data = { 'email': email, 'list': list_id } return send_request('unsubscribe', data) def create_campaign(subject, from_name, from_email, reply_to, html_text, list_ids): data = { 'subject': subject, 'from_name': from_name, 'from_email': from_email, 'reply_to': reply_to, 'html_text': html_text, 'list_ids': list_ids } return send_request('create-campaign', data) def send_campaign(campaign_id): data = { 'campaign_id': campaign_id } return send_request('send-campaign', data)

Error handling and response parsing

Let's add some basic error handling to our send_request function:

def send_request(endpoint, data): data['api_key'] = API_KEY try: response = requests.post(f"{API_URL}/{endpoint}", data=data) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: print(f"An error occurred: {e}") return None

Creating a simple CLI interface

Now, let's wrap it all up with a simple command-line interface:

def main(): parser = argparse.ArgumentParser(description="Sendy API Integration") parser.add_argument('action', choices=['subscribe', 'unsubscribe', 'create', 'send']) parser.add_argument('--email', help="User's email address") parser.add_argument('--list', help="List ID") parser.add_argument('--subject', help="Campaign subject") parser.add_argument('--campaign', help="Campaign ID") args = parser.parse_args() if args.action == 'subscribe': result = subscribe_user(args.email, args.list) elif args.action == 'unsubscribe': result = unsubscribe_user(args.email, args.list) elif args.action == 'create': # You'd need to add more arguments for create_campaign result = create_campaign(args.subject, 'From Name', '[email protected]', '[email protected]', '<h1>Hello</h1>', args.list) elif args.action == 'send': result = send_campaign(args.campaign) print(json.dumps(result, indent=2)) if __name__ == "__main__": main()

Testing the integration

Time to put our code to the test! Try running:

python sendy_api.py subscribe --email [email protected] --list your_list_id

Check your Sendy dashboard to verify the results. Cool, right?

Best practices and optimization

A couple of quick tips:

  1. Be mindful of rate limits. Sendy might restrict how many requests you can make in a given timeframe.
  2. Keep your API key secure. Never commit it to version control!

Conclusion

And there you have it! You've just built a Sendy API integration in Python. From here, you could extend this to integrate with your web app, automate based on user actions, or even build a full-fledged email marketing dashboard.

Remember, the key to mastering APIs is practice and experimentation. So go forth and send those emails! Happy coding!