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Connect Google My Business to Snowflake

Connect Google My Business to Snowflake and export selected accounts, metrics, and dimensions to your Google BigQuery project.

Configure the historical window, destination table, and recurring schedule without maintaining a Google My Business API pipeline.

Used by the world's leading companies

Export Google My Business data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Google My Business data in PostgreSQL

Bring all your Google My Business data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from Google My Business so every dashboard, model, and report works with fresh information.

Analysis

Unify Google My Business with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Google My Business metrics and dimensions available in Snowflake

Access 31 metrics and 105 dimensions from Google My Business connectors including Phone calls, Website visits, Directions requests, Total actions, Views on Maps, Views on Search, Date, Location name, Primary Category, Search terms, Account Name, Store Code and many more...

31

Metrics availables

105

Dimensions availables

Connect Google My Business to Snowflake in minutes

Move your data from Google My Business to Snowflake with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Google My Business account

Authenticate your Google My Business account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
Google My Business Google My Business 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the Snowflake destination

Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.

Destination / Snowflake Required fields
Authentication Choose one
Password
Key pair
Host Required
xy12345.eu-west-1
Username Required
catchr_service
Database Required
MARKETING.RAW
Private key passphrase Optional
••••••••••••
Private key Required for key pair
-----BEGIN ENCRYPTED PRIVATE KEY----- MIIE6TAbBgkqhkiG9w0BBQMw... -----END ENCRYPTED PRIVATE KEY-----
Step three

Keep your Snowflake tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example
Schema Destination
marketing_raw
Table Per job
linkedin_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 07:00
Weekly · Mon
First sync scheduledSelected fields · configured history
07:00 UTC

Review 30-day Google My Business local listing performance in SQL.

This example summarizes listing views, calls, and direction requests by location.

Google My Business.sql
BigQuery SQL
30-day window
SELECT
  location_name,
  SUM(views) AS views,
  SUM(calls) AS calls,
  SUM(direction_requests) AS direction_requests
FROM `your_project.marketing_raw.google_my_business_location_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY location_name
ORDER BY views DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into Snowflake.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

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Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I load Google My Business data into Snowflake with Catchr?

Create the Google My Business source, then register Snowflake with its account identifier, username, database, schema, and password or private key. Link both through a datastream and target the "posts" table in the job.

Which Google My Business records can Catchr load into Snowflake?

Select concrete Google My Business fields such as Actions, Directions requests, Phone calls, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, locations, and posts.

How does the initial Google My Business import differ from later Snowflake runs?

Configure the initial Google My Business period separately from the recurring schedule for "posts". The source API determines how much history is available.

Does a Google My Business Snowflake job append or replace data?

Choose an eligible date field as the partition for Google My Business. Catchr can then replace the matching period in "posts"; without it, later runs append rows and may create duplicates.

How can I turn Google My Business records in Snowflake into reporting?

With Google My Business data, a Snowflake query can summarize listing views, calls, and direction requests by location. Use Actions and Directions requests in a Snowflake view to create a reusable reporting layer for client analysis.

Does my Snowflake database need to exist before I connect it?

Yes. Connect an existing Snowflake database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Snowflake database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

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