---
title: Understanding the Google Cloud Storage login fields
description: Understanding the Google Cloud Storage login fields
---
[Skip to content](https://support.dataslayer.ai/understanding-the-google-cloud-storage-login-fields#main-content)
- [English](https://support.dataslayer.ai/understanding-the-google-cloud-storage-login-fields)
- [Español](https://support.dataslayer.ai/es/entendiendo-los-campos-de-inicio-de-sesión-de-google-cloud-storage)
English
Show submenu for translations
[](https://www.dataslayer.ai/)
Open main navigation
Close main navigation
- - [English](https://support.dataslayer.ai/understanding-the-google-cloud-storage-login-fields)
- [Español](https://support.dataslayer.ai/es/entendiendo-los-campos-de-inicio-de-sesión-de-google-cloud-storage)
English
Show submenu for translations
Hello. How can we help you?
- There are no suggestions because the search field is empty.
1. [Knowledge base](https://support.dataslayer.ai/?hsLang=en)
2. [Google Cloud Storage](https://support.dataslayer.ai/google-cloud-storage?hsLang=en)
September 30, 2025
# Understanding the Google Cloud Storage login fields
## In this article, we explain what each Google Cloud Storage (GCS) login field means and where to find the required credentials when connecting GCS to Dataslayer.
When setting up **Google Cloud Storage (GCS) as a destination in Dataslayer**, you’ll need to log in to your GCS account to send, store, and manage your data securely.
Dataslayer offers **two login methods**:
- **Option 1 (Recommended): Use your own Service Account**
More secure, scalable, and gives you full control.
- **Option 2: Use Dataslayer’s Service Account**
Faster, easier setup with less configuration.
In this guide, we’ll explain both login options step by step, including what each login field means and how to find the required credentials.
### Google Cloud Storage login fields in Dataslayer
When connecting GCS to Dataslayer, you may see the following fields:
- **Connection ID:** A name you choose for your connection.
**Restrictions**: max 20 characters, no special characters (spaces and hyphens are allowed).
- **JSON Credentials**: The contents of the JSON key file from your Google Cloud Service Account.
- **Bucket ID**: The unique identifier of your GCS bucket (usually the same as the bucket name).
- **Project ID***(Optional)*: You can leave this field blank.
- **Use Dataslayer’s Service Account** *(Checkbox)*: Only select this if you want to connect using *Dataslayer’s Service Account* (Option 2).
### Login options in Google Cloud Storage
Dataslayer offers **two different ways to log in to a Google Cloud Storage account**:
This method is the most secure and flexible. You’ll authenticate Dataslayer using a Service Account from your own Google Cloud project.
#### Step 1: Create a Service Account
1. Go to the [Google Cloud Console – Service Accounts](https://console.cloud.google.com/iam-admin/serviceaccounts).
2. Click **Create Service Account**.
3. Enter a name (e.g., `test-service-account`) and click **Create and continue**.
#### Step 2: Assign permissions
Grant the following roles so Dataslayer has the right level of access:
- **Storage Bucket Viewer**: allows listing and verifying buckets.
- **Storage Object User**: allows uploading and downloading objects in the bucket.
#### Step 3: Generate JSON credentials
1. Enter your service account and open the **Keys** tab of your Service Account.
2. Click **Add key → Create new key**.
.png?width=655&height=300&name=GCS%20-%20Login%20Fields%20(5).png)
3. Select **JSON** as the key private type.
4. A JSON file will download automatically.
Keep your JSON file safe!
#### Step 4: Get the Bucket ID
You’ll need the **Bucket ID** for both login methods.
1. Go to the [Google Cloud Storage Console](https://console.cloud.google.com/storage/browser).
2. Open the **Buckets** tab.
3. Select the bucket you want to use.
4. On the bucket details page, the **Bucket ID** is displayed at the top.
- In most cases, the Bucket ID matches the bucket name.
#### .png?width=688&height=315&name=GCS%20-%20Login%20Fields%20(4).png)
#### Step 5: Fill in the Dataslayer login fields
- **Connection ID**: any name of your choice.
- **JSON Credentials**: copy and paste the full contents of the downloaded JSON file.
- **Bucket ID**: enter the ID of your Google Cloud Storage bucket.
- **Project ID**: leave blank (optional).
**IMPORTANT**
Make sure the checkbox **“Use Dataslayer’s Service Account”** is **not selected**.
#### 
#### Step 6: Confirm the Connection
Click **Connect**. Dataslayer will create the connection using your chosen Connection ID.
If you prefer a simpler setup without managing your own Service Account, you can grant access to **Dataslayer’s pre-configured Service Account**.
#### Step 1: Go to your bucket
1. Open the [Google Cloud Storage Console](https://console.cloud.google.com/storage/browser).
2. Select the bucket you want to connect.
3. Go to the **Permissions** tab.
4. Click **Grant Access**.
#### Step 2: Grant permissions to Dataslayer’s Service Account
- Add this Service Account as a principal:
```
dataslayer-service-account@dataslayer-267808.iam.gserviceaccount.com
```
- Assign the roles detailed below and click on **Save**:
- **Storage Bucket Viewer**
- **Storage Object User**
**.png?width=688&height=315&name=GCS%20-%20Login%20Fields%20(1).png)**
#### Step 3: Fill in the Dataslayer login fields
- Check the box **“Use Dataslayer’s Service Account”**.
- Enter the **Bucket ID** (see *Step 4* in Option 1 above).
- Leave the other fields (Connection ID, JSON Credentials, Project ID) blank and click on **Connect**.
.png?width=688&height=315&name=GCS%20-%20Login%20Fields%20(2).png)
Dataslayer will now create the connection with the label: **“Dataslayer Service Account for GCS.”**
**.png?width=688&height=315&name=GCS%20-%20Login%20Fields%20(3).png)**
**That's it!**
Connecting **Google Cloud Storage to Dataslayer** is straightforward once you know what each login field means.
Both methods ensure your data is securely stored in Google Cloud Storage while allowing you to automate reporting and streamline workflows with Dataslayer.
As always, please contact us via our live chat [on our website](https://dataslayer.ai/?__hstc=205882892.609c93ea8042b8239c499e224c18b52a.1712818507477.1713181287827.1713258274101.5&__hssc=205882892.20.1713258274101&__hsfp=3856379180) or [via email](mailto:info@dataslayer.ai) if you still have doubts or questions. We are happy to help!
- [General](https://support.dataslayer.ai/general?hsLang=en)
- [Billing & Pricing](https://support.dataslayer.ai/billing-pricing?hsLang=en)
- [Data Sources](https://support.dataslayer.ai/data-sources?hsLang=en)
- [Blended Connectors](https://support.dataslayer.ai/blended-connectors?hsLang=en)
- [Google Sheets](https://support.dataslayer.ai/google-sheets?hsLang=en)
- [Microsoft Excel](https://support.dataslayer.ai/microsoft-excel?hsLang=en)
- [Spreadsheets](https://support.dataslayer.ai/spreadsheets?hsLang=en)
- [Looker Studio](https://support.dataslayer.ai/looker-studio?hsLang=en)
- [Big Query](https://support.dataslayer.ai/big-query?hsLang=en)
- [API Query Manager](https://support.dataslayer.ai/api-query-manager?hsLang=en)
- [Power BI](https://support.dataslayer.ai/power-bi?hsLang=en)
- [Amazon S3](https://support.dataslayer.ai/amazon-s3?hsLang=en)
- [Amazon Redshift](https://support.dataslayer.ai/amazon-redshift?hsLang=en)
- [Snowflake](https://support.dataslayer.ai/snowflake?hsLang=en#main-content)
- [Marketplace](https://support.dataslayer.ai/snowflake?hsLang=en#marketplace)
- [Google Cloud Storage](https://support.dataslayer.ai/google-cloud-storage?hsLang=en)
- [Database](https://support.dataslayer.ai/database?hsLang=en)
- [Azure SQL](https://support.dataslayer.ai/azure-sql?hsLang=en)
- [Azure Storage](https://support.dataslayer.ai/azure-storage?hsLang=en)
- [Dataslayer Atlas](https://support.dataslayer.ai/dataslayer-atlas?hsLang=en)
- [Morpheus](https://support.dataslayer.ai/morpheus?hsLang=en)
- [AI Looker Studio Analyzer](https://support.dataslayer.ai/ai-looker-studio-analyzer?hsLang=en)
- [Dataslayer MCP](https://support.dataslayer.ai/dataslayer-mcp?hsLang=en)
- [Dataslayer GPT](https://support.dataslayer.ai/dataslayer-gpt?hsLang=en)
- [Dataslayer AI Chat](https://support.dataslayer.ai/dataslayer-ai-chat?hsLang=en)
[](https://dataslayer.ai/)
Dataslayer.ai: Digital Marketing Reporting Made Easy
Copyright © 2026, DATASLAYER SL