/flutterflow-integrations

FlutterFlow and Looker integration: Step-by-Step Guide 2024

Step-by-step guide on How to integrate FlutterFlow with Looker. Unlock powerful data visualization in your Flutter apps with our easy-to-follow instructions!

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What is Looker?

Looker is a modern data platform that provides an interface for data exploration, visualization, and application integration. It allows people with different expertise levels to access, analyze, and make sense of data without requiring a thorough understanding of how data is stored. Looker makes it possible to drill deep into data sets using a web-based interface, and it also offers robust reporting and data visualization tools. Additionally, it can create and distribute custom applications built on the platform.

Matt Graham, CEO of Rapid Developers

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How to integrate FlutterFlow with Looker?

 

Step-by-Step Guide on Integrating FlutterFlow with Looker

  Integrating FlutterFlow, a low-code application development platform, with Looker, a powerful data analytics tool, can enable building robust applications that harness the power of data analytics. This guide will walk you through the process step-by-step.  

Prerequisites

 
  • FlutterFlow account
  • Looker account
  • Basic understanding of Flutter and Looker
  • API keys for both FlutterFlow and Looker
 

Step 1: Set Up Looker API Access

 
  • Log in to Your Looker Instance
    • Navigate to your Looker instance through the web browser and log in with your credentials.
  • Generate API Credentials
    • Click on your profile picture on the top-right corner and go to Admin.
    • In the Admin panel, find the Users section, and select the user you want to generate API credentials for.
    • Go to the API3 Keys tab and click on New API3 Key.
    • Copy the Client ID and Client Secret. Store these safely as you'll need this information later.
 

Step 2: Install FlutterFlow and Set Up Project

 
  • Log In to FlutterFlow
    • Navigate to FlutterFlow and log in with your credentials.
  • Create a New Project
    • Click on Create New Project and select a template or start from scratch.
    • Name your project and configure initial settings as needed.
  • Configure API Calls
    • Navigate to the API Calls section in your FlutterFlow project dashboard.
    • Click on Add API and fill in the details:
      • Name: Name your API call appropriately.
      • Request Type: Set this to Custom API.
      • Method: Choose GET for retrieving data, POST for sending data, or as suitable for your use case.
      • URL: Enter the endpoint URL where your Looker API will respond.
 

Step 3: Authenticate API Calls with Looker

 
  • Add Authorization Headers
    • Within your API configuration, go to the Headers section.
    • Click on Add Header and add the following two headers:
      • Authorization: Bearer [Your_Looker_API\_Token]
      • Content-Type: application/json
  • Handle Authentication
    • Looker APIs require authentication tokens for every request.
    • Use the Client ID and Client Secret obtained earlier to make a request to the Looker OAuth Endpoint to retrieve an access token.
    • Save this token and configure FlutterFlow to use it in the authorization headers.
 

Step 4: Design Your FlutterFlow UI

 
  • Add Widgets
    • Use the FlutterFlow drag-and-drop interface to add widgets like Text fields, Buttons, and Containers to design your application user interface.
  • Bind Data to Widgets
    • Bind the data fetched from Looker API to your widgets.
    • For example, if fetching user data, bind the user name to a Text widget and user statistics to Charts or similar data visualization widgets.
 

Step 5: Execute API Calls and Handle Responses

 
  • Bind API Calls to Actions
    • Add an action to your widget which will trigger the Looker API call.
    • For instance, you can configure a button to fetch data when clicked.
  • Process API Response
    • Go to the Output tab of your API call configuration and define the structure of the response you expect.
    • Map the response data to your widgets for dynamic data display.
 

Step 6: Test the Integration

 
  • Use the FlutterFlow Preview
    • Click on the Preview button to test your application within FlutterFlow.
    • Check if the data from Looker is being correctly fetched and displayed as expected.
  • Debugging
    • If there are issues, use the debugging tools within FlutterFlow to inspect the API calls, check for status codes, and validate the response data.
    • Ensure that Looker API permissions and roles are properly set up and that the right scopes are authorized.
 

Step 7 (Optional): Deploy and Iterate

 
  • Deploy Your Application
    • Once satisfied with the integration, you can deploy your application using FlutterFlow.
    • Follow the deployment guide in FlutterFlow to publish your application on various platforms like Android, iOS, and Web.
  • Iterate and Improve
    • Gather user feedback and iterate on your application by refining the UI, improving API calls, or adding new features.
    • Continuously integrate new Looker data insights to keep your application data rich and user-friendly.
By following these steps, you can efficiently integrate FlutterFlow with Looker, enabling your application to leverage powerful data analytics right within its interface.

FlutterFlow and Looker integration usecase

Scenario:
A retail company wants to enhance its sales reporting and inventory management by creating a comprehensive dashboard that showcases real-time analytics. They decide to use FlutterFlow to build a mobile app for their store managers, and Looker for advanced analytics. They aim to automatically sync sales and inventory data between the app and Looker for real-time insights.

Solution: Integrating FlutterFlow with Looker

App Creation:

  • The retail company uses FlutterFlow to design an intuitive mobile app for store managers. This app includes features such as sales data entry, inventory updates, and real-time notifications.

Setting Up the Integration:

  • The company installs the Looker API integration within FlutterFlow, configuring it with their Looker API credentials.
  • They set up workflows in FlutterFlow that are triggered whenever a sale is recorded or inventory is updated in the app.

Data Sync Workflow:

  • When a sale is recorded or inventory is updated, the workflow is triggered.
  • The data (e.g., item sold, quantity, sale amount, inventory levels) is automatically sent to Looker using the configured Looker API action.
  • Looker processes this data and updates the relevant dashboards, providing a real-time view of sales performance and inventory status.

Analytics and Reporting in Looker:

  • Store managers and the corporate team use Looker to access up-to-date dashboards and reports.
  • They can analyze sales trends, identify best-selling items, monitor stock levels, and predict inventory needs.
  • Custom alerts and notifications can be set up in Looker based on predefined thresholds, such as low inventory levels or sales targets being met.

Data-Driven Decision Making:

  • The integration allows for seamless tracking of sales and inventory data.
  • Store managers can make informed decisions on restocking and promotions based on real-time data.
  • The corporate team can monitor the overall performance of different stores, adjusting strategies to improve sales and operational efficiency.

Benefits:

  • Real-Time Insights: Automating the data sync process ensures that sales and inventory data are always up-to-date in Looker, providing real-time insights for decision-making.
  • Efficiency: Store managers can quickly record sales and inventory changes through the FlutterFlow app, reducing manual data entry and errors.
  • Enhanced Reporting: Looker's advanced analytics capabilities allow for detailed and customizable reporting, helping the company to track performance and identify opportunities for improvement.
  • Centralized Data: All sales and inventory information is integrated into Looker, providing a centralized location for data analysis and reporting.
  • Proactive Management: Real-time alerts and notifications enable the company to proactively manage inventory, preventing stockouts and optimizing stock levels.

Conclusion:
By integrating FlutterFlow with Looker, the retail company can efficiently manage sales and inventory data, empowering store managers with real-time analytics and enabling data-driven decision-making to boost operational efficiency and sales performance.

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