Step by Step Guide to Building an Adalo API Integration in Python

Aug 14, 2024 • 6 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of Adalo API integration? You're in for a treat. Adalo's API is a powerful tool that lets you interact with your no-code apps programmatically. In this guide, we'll walk through building a Python integration that'll have you manipulating data like a pro in no time.

Prerequisites

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

A Python environment (3.6+ recommended)
The requests library installed (pip install requests)
Your Adalo API credentials (you can grab these from your Adalo account)

Setting Up the Project

Let's kick things off by creating a new Python file. Open up your favorite editor and let's get coding!

import requests
import json

# We'll be using these throughout our integration
BASE_URL = "https://api.adalo.com/v0"
API_KEY = "your_api_key_here"

Authentication

Adalo uses API keys for authentication. It's straightforward:

headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

Making API Requests

Now for the fun part - let's start making some requests!

GET Request

def get_records(collection_id):
    response = requests.get(f"{BASE_URL}/databases/{collection_id}/records", headers=headers)
    return response.json()

POST Request

def create_record(collection_id, data):
    response = requests.post(f"{BASE_URL}/databases/{collection_id}/records", headers=headers, json=data)
    return response.json()

PUT Request

def update_record(collection_id, record_id, data):
    response = requests.put(f"{BASE_URL}/databases/{collection_id}/records/{record_id}", headers=headers, json=data)
    return response.json()

DELETE Request

def delete_record(collection_id, record_id):
    response = requests.delete(f"{BASE_URL}/databases/{collection_id}/records/{record_id}", headers=headers)
    return response.status_code == 204

Handling Responses

Always check your responses! Here's a quick helper:

def handle_response(response):
    if response.status_code == 200:
        return response.json()
    else:
        raise Exception(f"API request failed: {response.status_code} - {response.text}")

Building a Basic CRUD Application

Now let's put it all together in a simple CRUD app:

def main():
    collection_id = "your_collection_id_here"
    
    # Create
    new_record = create_record(collection_id, {"name": "John Doe", "age": 30})
    print(f"Created: {new_record}")
    
    # Read
    records = get_records(collection_id)
    print(f"All records: {records}")
    
    # Update
    updated_record = update_record(collection_id, new_record['id'], {"age": 31})
    print(f"Updated: {updated_record}")
    
    # Delete
    if delete_record(collection_id, new_record['id']):
        print("Record deleted successfully")

if __name__ == "__main__":
    main()

Advanced Features

Want to level up? Try implementing pagination and filtering:

def get_records_with_params(collection_id, page=1, limit=20, filter=None):
    params = {"page": page, "limit": limit}
    if filter:
        params["filter"] = json.dumps(filter)
    
    response = requests.get(f"{BASE_URL}/databases/{collection_id}/records", headers=headers, params=params)
    return response.json()

Best Practices

Rate Limiting: Be kind to Adalo's servers. Implement a delay between requests if you're making many.
Error Logging: Log those errors! It'll save you headaches later.
Security: Never, ever hardcode your API key. Use environment variables instead.

Conclusion

And there you have it! You've just built a solid foundation for your Adalo API integration. With these tools in your belt, you can now create powerful automations and integrations for your Adalo apps.

Remember, this is just the beginning. The Adalo API has a lot more to offer, so don't be afraid to explore and experiment. Happy coding!

Additional Resources

Now go forth and build something awesome!