Extract Looker data with Singer

About the Looker tap

Looker is a software company employing business intelligence to make data accessible to organizations and data analysts. The Singer Looker tap pulls data out of Looker and delivers data in a standard, JSON-based format.

Learn more about the Singer spec  →

Data Catalog

Supports the extraction of individual data streams and fields

Language

Python

Example data

color_collections connections content_metadata content_metadata_access dashboards dashboard_elemnets dashboard_filters dashboard_layouts datagroups folders groups homepages integration_hubs integrations lookml_dashboards lookml_models models explores looks projects git_branches project_files queries merge_queries query_history roles model_sets permission_sets permissions role_groups scheduled_plans scheduled_plans for dashboards scheduled_plans for lookml_dashboards scheduled_plans for looks spaces themes user_attributes user_attribute_group_value user_login_lockouts users user_attribute_values user_sessions versions workspaces

Getting started

Installing and running the Looker tap is easy. Check the repository for specific setup steps.

View the repo  →
          $ pip install tap-looker
        

Contribute to the Looker tap

View open pull requests

View open issues

Discuss on the Singer Slack.

Send Looker data to these targets

Singer targets can consume data from the Looker tap and do something with it, like load it into a file, API or database.

Run this tap automatically

Stitch can run the Singer Looker tap on a schedule you define. Take advantage of Stitch's automatic infrastructure scaling, error alerting, and more—no code required.

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