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1. Create a Trustpilot Developer Account:
- Go to Trustpilot's developer site (https://developers.trustpilot.com/) and sign up for an account.
2. Register Your Application:
- Once logged in, create a new application to get your API credentials (API Key, Secret, and Token).
3. Authenticate with the Trustpilot API:
- Follow Trustpilot's API documentation to authenticate and obtain an access token. You'll need to make a POST request to the Trustpilot API authentication endpoint.
1. Open Google Sheets:
- Create a new Google Sheet where you want to import the Trustpilot data.
2. Access the Script Editor:
- Go to `Extensions` > `Apps Script` to open the script editor.
3. Write the Script:
- In the script editor, write a Google Apps Script function to call the Trustpilot API and parse the response. Here's an example function:
```javascript
function fetchTrustpilotData() {
var apiEndpoint = 'https://api.trustpilot.com/v1/reviews'; // Replace with the correct API endpoint
var accessToken = 'YOUR_ACCESS_TOKEN'; // Replace with your access token
var options = {
'method' : 'get',
'headers' : {
'Authorization' : 'Bearer ' + accessToken
}
};
var response = UrlFetchApp.fetch(apiEndpoint, options);
var jsonResponse = JSON.parse(response.getContentText());
// Now, jsonResponse contains the data from Trustpilot.
// Next, we'll write this data to our Google Sheet.
var sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();
var data = []; // This will hold our rows of data
// Assuming jsonResponse.reviews is an array of review objects
jsonResponse.reviews.forEach(function(review) {
var row = [];
row.push(review.title);
row.push(review.text);
row.push(review.rating);
// Add other review properties as needed
data.push(row);
});
// Write data to the sheet starting at the first row and first column
var range = sheet.getRange(1, 1, data.length, data[0].length);
range.setValues(data);
}
```
4. Save and Run the Script:
- Save the script and run the `fetchTrustpilotData` function to test it. You may need to give permissions to the script to access your Google Sheet and external services.
If you want to automatically update the Google Sheet with new Trustpilot data at regular intervals, you can use Google Apps Script's triggers.
1. Create a Time-Driven Trigger:
- In the Google Apps Script editor, click on the clock icon (current project's triggers).
- Click on `+ Add Trigger` at the bottom right.
- Choose the `fetchTrustpilotData` function.
- Set the event source to `Time-driven` and specify the frequency at which you want the script to run.
Trustpilot API might have pagination and rate limits. Make sure your script handles these by checking the API response headers and implementing loops or recursive calls as needed.
Add error handling to your script to manage any potential issues during API calls or data processing. You can use `try...catch` statements and log errors to the Google Sheet or use `Logger.log()` for debugging.
Before finalizing your setup, test the script thoroughly to ensure it handles various scenarios like empty data, API downtime, or unexpected responses.
Remember, the exact details of the script will depend on the specific data you want to fetch from Trustpilot and how you want to structure it in Google Sheets. The example above is a starting point, and you'll need to adjust it based on the Trustpilot API documentation and your requirements.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
TrustPilot is an online review platform that allows customers to share their experiences and opinions about businesses they have interacted with. The platform provides a space for customers to leave reviews and ratings, which can help other potential customers make informed decisions about whether to use a particular business or not. TrustPilot also offers businesses the opportunity to respond to reviews and engage with customers, helping to build trust and improve their reputation. The platform is used by millions of people worldwide and covers a wide range of industries, from retail and hospitality to finance and healthcare.
TrustPilot's API provides access to a wide range of data related to customer reviews and ratings. The following are the categories of data that can be accessed through TrustPilot's API:
1. Reviews: TrustPilot's API provides access to all the reviews submitted by customers, including the text of the review, the rating given, and the date of submission.
2. Ratings: The API also provides access to the overall rating of a business, as well as the individual ratings for different aspects of the business, such as customer service, product quality, and delivery.
3. TrustScore: TrustPilot's TrustScore is a measure of a business's overall reputation based on customer reviews. The API provides access to this score, as well as the factors that contribute to it.
4. Business information: The API provides access to information about the business, such as its name, address, and website.
5. Reviewer information: The API also provides access to information about the reviewers, such as their name, location, and the number of reviews they have submitted.
6. Analytics: TrustPilot's API provides access to analytics related to customer reviews, such as the number of reviews submitted over time, the average rating, and the sentiment of the reviews.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: