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Prerequisites:
- A Google account with access to Google Sheets.
- An n8n instance set up and running.
- Visit the Google Developers Console: https://console.developers.google.com/
- Create a new project or select an existing one.
- Go to the “Library” section and enable the Google Sheets API for your project.
- Go to “Credentials” and create credentials for your project. Choose “Service account” and follow the process to create a new service account.
- Once the service account is created, you will be prompted to download a JSON file containing your service account’s credentials. Save this file securely as it contains sensitive information.
- Open the Google Sheet you want to write data to.
- Share the sheet with the email address of your service account with “Editor” permissions.
- Open the JSON file you downloaded earlier.
- Extract the “client_email” and “private_key” values. You’ll need these to authenticate your requests to the Google Sheets API.
- Open your n8n interface.
- Create a new workflow or open an existing one.
- Add a node that will be the source of your data (e.g., a trigger or another action node).
- Add an “HTTP Request” node to your workflow.
- Configure the node with the following settings:
- Authentication: OAuth2
- Credentials: Click on “Create New” to configure new OAuth2 credentials.
- Name: Enter a name for your credentials.
- Grant Type: Select “Service Account”.
- Email: Enter the “client_email” from your JSON file.
- Private Key: Enter the “private_key” from your JSON file.
- Scopes: Enter the following scope:
https://www.googleapis.com/auth/spreadsheets
- Request Method: Select “POST” if you’re adding new data or “PUT” if you’re updating existing data.
- URL: Construct the URL to access your Google Sheet via the API, which should look like this:
https://sheets.googleapis.com/v4/spreadsheets/{spreadsheetId}/values/{range}:append?valueInputOption=USER_ENTEREDReplace {spreadsheetId} with the ID of your Google Sheet (found in the sheet’s URL) and {range} with the range in A1 notation where you want to add data. - Body Parameters / JSON: Add the data you want to send to Google Sheets in JSON format.
- Save your workflow.
- Execute the workflow manually or set up a trigger to run it automatically.
After running your workflow, check your Google Sheet to ensure that the data has been transferred successfully.
Troubleshooting:
- If the data is not appearing in your Google Sheet, check the execution logs in n8n for any errors.
- Ensure that the service account has the correct permissions and that the OAuth2 credentials are set up correctly.
- Double-check the range and the structure of the JSON body to ensure it matches the expected format for the Google Sheets API.
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.
N8n is a free and open fair-code distributed node-based Workflow Automation Tool. You can self-host n8n, easily extend it, and even you can use it. n8n is an extendable workflow automation tool that enables you to connect anything to everything via its open, fair-code model. Berlin, Germany n8n. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic, and apps.
N8n's API provides access to a wide range of data types, including:
1. Workflow data: This includes information about the workflows created in n8n, such as their names, descriptions, and trigger events.
2. Node data: This includes data related to the individual nodes used in workflows, such as their names, types, and configurations.
3. Execution data: This includes information about the execution of workflows, such as the start and end times, the status of each node, and any errors encountered.
4. Credentials data: This includes data related to the credentials used to authenticate with external services, such as API keys and access tokens.
5. Workflow run data: This includes data related to the runs of individual workflows, such as the input and output data, the status of each node, and any errors encountered.
6. Node run data: This includes data related to the runs of individual nodes within workflows, such as the input and output data, the status of the node, and any errors encountered.
Overall, n8n's API provides access to a comprehensive set of data types that can be used to monitor and manage workflows, troubleshoot issues, and optimize performance.
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:
