Step by Step Guide to Building a Woodpecker.co API Integration in Python

Introduction

Hey there, fellow code wrangler! Ready to supercharge your outreach game with Woodpecker.co's API? You're in the right place. We're going to walk through building a Python integration that'll have you managing prospects and campaigns like a pro. Let's dive in!

Prerequisites

Before we start cooking, let's make sure we've got all the ingredients:

• A Python environment (3.6+ recommended)
• requests library (pip install requests)
• Your Woodpecker.co API key (keep it secret, keep it safe!)

Authentication

First things first, let's get you authenticated:

import requests

API_KEY = 'your_api_key_here'
BASE_URL = 'https://api.woodpecker.co/rest/v1'

headers = {
    'X-API-KEY': API_KEY,
    'Content-Type': 'application/json'
}

Basic API Requests

Now, let's make our first API call. Here's a GET request to fetch your prospects:

response = requests.get(f'{BASE_URL}/prospects', headers=headers)
if response.status_code == 200:
    prospects = response.json()
    print(prospects)
else:
    print(f"Error: {response.status_code}")

Key Woodpecker.co API Endpoints

You'll be working with these main endpoints:

• /prospects: Manage your prospect list
• /campaigns: Create and control campaigns
• /stats: Get those juicy campaign statistics

Implementing Core Functionalities

Adding Prospects

Let's add a new prospect to your list:

new_prospect = {
    "email": "[email protected]",
    "first_name": "John",
    "last_name": "Doe"
}

response = requests.post(f'{BASE_URL}/prospects', headers=headers, json=new_prospect)
if response.status_code == 201:
    print("Prospect added successfully!")

Creating Campaigns

Time to set up a campaign:

new_campaign = {
    "name": "My Awesome Campaign",
    "subject": "You won't believe this offer!"
}

response = requests.post(f'{BASE_URL}/campaigns', headers=headers, json=new_campaign)
if response.status_code == 201:
    print("Campaign created successfully!")

Retrieving Campaign Statistics

Let's see how your campaigns are performing:

campaign_id = 123  # Replace with your actual campaign ID
response = requests.get(f'{BASE_URL}/campaigns/{campaign_id}/stats', headers=headers)
if response.status_code == 200:
    stats = response.json()
    print(f"Opens: {stats['opens']}, Clicks: {stats['clicks']}")

Error Handling and Rate Limiting

Always be prepared for things to go sideways:

def make_api_call(endpoint, method='GET', data=None):
    url = f'{BASE_URL}/{endpoint}'
    try:
        response = requests.request(method, url, headers=headers, json=data)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as err:
        print(f"HTTP error occurred: {err}")
    except requests.exceptions.RequestException as err:
        print(f"An error occurred: {err}")
    
    # Check for rate limiting
    if response.status_code == 429:
        print("Rate limit exceeded. Take a breather!")
        time.sleep(60)  # Wait for a minute before retrying

Data Processing and Storage

Parse that JSON like a boss:

import json

def process_prospects(prospects_data):
    for prospect in prospects_data:
        print(f"Name: {prospect['first_name']} {prospect['last_name']}, Email: {prospect['email']}")
        # Here you could insert into a database, CSV, etc.

prospects = make_api_call('prospects')
process_prospects(prospects)

Building a Simple CLI Tool

Let's wrap this up in a neat little CLI package:

import argparse

def main():
    parser = argparse.ArgumentParser(description="Woodpecker.co API CLI")
    parser.add_argument('action', choices=['list_prospects', 'add_prospect', 'create_campaign'])
    args = parser.parse_args()

    if args.action == 'list_prospects':
        prospects = make_api_call('prospects')
        process_prospects(prospects)
    elif args.action == 'add_prospect':
        # Implement add prospect logic
        pass
    elif args.action == 'create_campaign':
        # Implement create campaign logic
        pass

if __name__ == "__main__":
    main()

Testing and Debugging

Always test your code! Here's a simple unit test to get you started:

import unittest

class TestWoodpeckerAPI(unittest.TestCase):
    def test_list_prospects(self):
        prospects = make_api_call('prospects')
        self.assertIsNotNone(prospects)
        self.assertIsInstance(prospects, list)

if __name__ == '__main__':
    unittest.main()

Conclusion

And there you have it! You've just built a solid foundation for your Woodpecker.co API integration. Remember, this is just the beginning - there's so much more you can do with webhooks, bulk operations, and advanced filtering.

Keep exploring, keep coding, and most importantly, keep reaching out! The Woodpecker.co API documentation is your new best friend, so don't be shy about diving deeper.

Now go forth and conquer those inboxes! 🚀📧