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Load recent location reviews into analytics data warehouse

Automatically pull recent location reviews on weekdays across Google Business Profile and Google BigQuery. Automatically normalize and insert fresh review rows when reviews refreshed, new reviews posted, or review window closesβ€”so you can dedupe reliably, keep your warehouse current, and avoid manual ingestion.

How this automation powers fresh review analytics in your warehouse

When the weekday schedule starts, ingestion delays can leave analysts working from stale feedback. This automation fetches recent reviews and normalizes rows before inserting them into your BigQuery tableβ€”so your team can query fresh sentiment faster.

  1. 1.Runs on weekday schedule

    Integrate Schedule by Zapier and orchestration tools to trigger the ETL on a fixed cadence for pulling recent review data.

    Schedule by Zapieror swap with your favorite app
  2. 2.Gets recent reviews

    Integrate Google Business Profile and location insights tools to fetch recent reviews and map review metadata to incoming objects.

    Google Business Profileor swap with your favorite app
  3. 3.Normalizes rows for import

    Integrate Code by Zapier and data transformation tools to transform the reviews array into table rows for ingestion.

    Code by Zapieror swap with your favorite app
  4. 4.Inserts rows into table

    Integrate Google BigQuery and analytics warehousing tools to insert rows into your configured dataset and table.

    Google BigQueryor swap with your favorite app

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The New York Times
Ruggable
Calendly
Okta
Zendesk
Dropbox
Asana
Allstate
Airbnb
ActiveCampaign
Lyft
Webflow
Canva
Sysco
LA Clippers
Getaround
Grammarly
HelloFresh
Lululemon
Barry's
Hopper
Casper
Hudl
Miro
The New York Times
Ruggable

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