How to load data from Typeform to MongoDB

Learn how to use Airbyte to synchronize your Typeform data into MongoDB within minutes.

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Set up a Typeform connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up MongoDB for your extracted Typeform data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Typeform to MongoDB in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Set Up Typeform API Access

To transfer data, you first need to access Typeform's API. Log into your Typeform account, navigate to the "API & Webhooks" section, and generate a personal access token. This token will allow you to authenticate requests to Typeform's API and fetch the responses.

Ensure that you have `Node.js` and `npm` installed on your system, as you'll use JavaScript to write scripts for data transfer. Install the `axios` library for making HTTP requests and `mongodb` library for MongoDB interactions using the following command:
```
npm install axios mongodb
```

Use the Typeform API to fetch submission data. Write a JavaScript script using `axios` to make a GET request to the Typeform responses endpoint. Replace `YOUR_FORM_ID` and `YOUR_ACCESS_TOKEN` with your form's ID and your API access token, respectively:
```javascript
const axios = require('axios');

async function fetchData() {
try {
const response = await axios.get('https://api.typeform.com/forms/YOUR_FORM_ID/responses', {
headers: {
'Authorization': `Bearer YOUR_ACCESS_TOKEN`
}
});
return response.data.items;
} catch (error) {
console.error('Error fetching data from Typeform:', error);
throw error;
}
}
```

Typeform data is often nested or formatted in a way that's not directly suitable for MongoDB. Write a function to transform the response data into a format that matches your MongoDB schema. This might involve mapping fields or restructuring objects:
```javascript
function transformData(typeformData) {
return typeformData.map(item => ({
responseId: item.response_id,
answers: item.answers.reduce((acc, answer) => {
acc[answer.field.id] = answer.text || answer.number || answer.choice.label;
return acc;
}, {})
}));
}
```

Use the `mongodb` library to establish a connection to your MongoDB database. Replace `YOUR_MONGO_URI` with your MongoDB connection string:
```javascript
const { MongoClient } = require('mongodb');

async function connectToMongoDB() {
const client = new MongoClient('YOUR_MONGO_URI', { useNewUrlParser: true, useUnifiedTopology: true });
try {
await client.connect();
console.log('Connected to MongoDB');
return client;
} catch (error) {
console.error('Error connecting to MongoDB:', error);
throw error;
}
}
```

Once connected to MongoDB, insert the transformed data into the appropriate collection:
```javascript
async function insertDataIntoMongoDB(client, data) {
const database = client.db('YOUR_DATABASE_NAME');
const collection = database.collection('YOUR_COLLECTION_NAME');
try {
const result = await collection.insertMany(data);
console.log(`${result.insertedCount} documents were inserted`);
} catch (error) {
console.error('Error inserting data into MongoDB:', error);
throw error;
}
}
```

Combine all the functions into a main execution script. Fetch, transform, and insert the data:
```javascript
async function main() {
const client = await connectToMongoDB();
try {
const typeformData = await fetchData();
const transformedData = transformData(typeformData);
await insertDataIntoMongoDB(client, transformedData);
} finally {
await client.close();
console.log('Disconnected from MongoDB');
}
}

main().catch(console.error);
```
Run your script using Node.js:
```
node your_script_name.js
```

This guide provides a structured approach to moving data from Typeform to MongoDB using custom scripts. Adjust the code snippets to match your specific requirements and environment settings.