Reading and Writing Data Using the Woodpecker.co API

Hey there, fellow JavaScript enthusiasts! Ready to dive into the world of Woodpecker.co API integration? Let's get our hands dirty with some code and explore how to sync data for a user-facing integration. Buckle up!

The Woodpecker.co API: Your New Best Friend

Woodpecker.co's API is a powerful tool for automating your sales outreach. We'll be focusing on how to read and write data, perfect for building that slick integration you've been dreaming about.

Authentication: Getting Past the Bouncer

First things first, let's get you authenticated. You'll need to grab your API credentials from your Woodpecker account. Once you've got those, here's how you set up a basic request:

const axios = require('axios');

const api = axios.create({
  baseURL: 'https://api.woodpecker.co/rest/v1',
  headers: {
    'Content-Type': 'application/json',
    'X-API-KEY': 'YOUR_API_KEY_HERE'
  }
});

Reading Data: Extracting the Good Stuff

Now that we're in, let's fetch some data. Here's how you can grab your prospects:

async function getProspects() {
  try {
    const response = await api.get('/prospects');
    return response.data;
  } catch (error) {
    console.error('Error fetching prospects:', error);
  }
}

Easy peasy, right? You can use similar methods to fetch campaign data or email stats.

Writing Data: Making Your Mark

Time to add some data to Woodpecker. Here's how you can create a new prospect:

async function createProspect(prospectData) {
  try {
    const response = await api.post('/prospects', prospectData);
    return response.data;
  } catch (error) {
    console.error('Error creating prospect:', error);
  }
}

Syncing Data: Keeping Everything in Harmony

To keep your data fresh, you'll want to set up webhook listeners. Here's a basic Express.js setup:

const express = require('express');
const app = express();

app.post('/webhook', express.json(), (req, res) => {
  const { event, data } = req.body;
  // Handle the event
  console.log(`Received ${event} event:`, data);
  res.sendStatus(200);
});

Error Handling and Rate Limiting: Playing Nice

Remember, the API has rate limits. Here's a simple retry mechanism:

async function makeRequest(requestFn, maxRetries = 3) {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await requestFn();
    } catch (error) {
      if (error.response && error.response.status === 429) {
        // Rate limited, wait and retry
        await new Promise(resolve => setTimeout(resolve, 1000 * (i + 1)));
      } else {
        throw error;
      }
    }
  }
  throw new Error('Max retries reached');
}

Best Practices: The Cherry on Top

1. Cache frequently accessed data to reduce API calls.
2. Use efficient data polling techniques.
3. Always sanitize and validate user input before sending it to the API.

Wrapping Up

And there you have it! You're now equipped to build a robust Woodpecker.co integration. Remember, the key to a great integration is understanding both the API and your users' needs. Happy coding, and may your prospects always respond positively!

For more details, check out the official Woodpecker.co API docs. Now go forth and automate those sales outreach campaigns like a pro!