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.
Supports the extraction of individual data streams and fields
Python
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
Installing and running the Looker tap is easy. Check the repository for specific setup steps.
View the repo →
$ pip install tap-looker
Singer targets can consume data from the Looker tap and do something with it, like load it into a file, API or database.
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.