Extract Looker Data Using AI – Free Template
Automatically extract your Looker data without writing a single line of code.
Pull from Looker Source 
Extract with AI Transform 
Generate your results Output 
Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.
- 1Set up your data source by creating a new Parabola flow and natively integrating with Looker.
- 2Select the specific Looker data you want to extract. Configure any necessary filters or parameters.
- 3Clean, organize, and transform your data. In short, do anything you'd otherwise do in spreadsheets. To help, Parabola offers five different AI-led transform steps.
- 4Apply any additional processing needed, such as metric calculations, data transformations, or trend analysis.
- 5Generate your results by previewing the extracted data and running your automated flow.
How to use Looker
Parabola automates the process of extracting data from your Looker platform. With Parabola, you can:
- Connect to your Looker instance and pull in your analytics data
- Use AI-powered tools to extract specific information from your reports
- Visualize and analyze the extracted data
Retrieving data from Looker
Parabola's Looker integration pulls data directly from your dashboards and reports to extract and process information from your analytics platform.
Key features
- Process any Look or Explore in your Looker instance
- Multiple view support (Dashboards, Looks, Explores)
- Standardize data across different report types
- Extract metrics, dimensions, and calculated fields
- Advanced filtering capabilities
- Automated scheduling
How to use
- Add the Pull from Looker step to your Flow
- Connect your Looker instance and authenticate
- Select the Look or Explore you want to pull
- Configure any specific filters or parameters
- Click "Refresh data" to pull in your Looker data
- Adjust the fields and validate your final output
Applying AI to extract your data
The Extract with AI step in Parabola uses large language models to parse and extract specific values from your Looker data. It uses context and patterns, fitting for complex analytics information.
Key features
- Natural language processing capabilities
- Custom extraction rules
- Multi-format support
- Batch processing
How to use
- Add the Extract with AI step after your pull step
- Define the metrics and dimensions you want to extract data from
- Create new columns specifying the data you want to extract
- Add additional fine-tuning to further tailor the extraction
- Run a test extraction to verify results
- Adjust settings as needed for optimal results
Practical use cases and examples
Analyzing business performance patterns
Extract and analyze data from your Looker dashboards to spot business performance patterns, identify trends, and better understand your key metrics.
Monitoring KPIs and metrics
Extract performance indicators, trend data, and calculated metrics from your reports to track business objectives and make data-driven decisions.
Generating reports and insights
Use Parabola's data visualization to build reports and dashboards from your Looker data to inform business decisions, track performance, and share with stakeholders.
Using Parabola to extract and analyze Looker data automates manual work and lets you focus on the more strategic aspects of your business.