Home > Destinations > Snowflake > Google Search Console

Connect Google Search Console to Snowflake

Connect Google Search Console 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 Search Console API pipeline.

Google Search Console export job

First sync scheduled

Google Search Console Selected accounts

Configured job

Snowflake Destination table

Account Google Search Console · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Google Search Console data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Google Search Console data in PostgreSQL

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

Source

Google Search Console Analytics data

INsites PMpages CUqueries BLkeywords

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.Google Search Console_raw

TableScopeStatus

sitesSelectedReady

pagesSelectedReady

queriesSelectedReady

keywordsSelectedReady

Data freshness

Keep your Snowflake tables up to date

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

Google Search ConsoleConfigured account

SnowflakeGoogle Search Console Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

sites326 updated pages102 appended Warehouse up to date

Analysis

Unify Google Search Console with the rest of your business data

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

Business data model

model / business_360

Warehouse inputs

QuickBooks sites · Clicks Analytics

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

Snowflake model business_360 Unified

FieldFrom

customer_idCRM

Clickssites

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Google Search Console metrics and dimensions available in Snowflake

Access 4 metrics and 43 dimensions from Google Search Console connectors including Clicks, Impressions, CTR, Position, Search Query, Full URL, Country, Device, Search Type, Day and many more...

Metrics availables

Dimensions availables

View all Google Search Console Metrics metrics and dimensions

Connect Google Search Console to Snowflake in minutes

Move your data from Google Search Console 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 Search Console account

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

Connect now

Client A · Connected sources

5 sources ready

Google Search Console 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 Search Console organic search performance in SQL.

This example summarizes clicks, impressions, click-through rate, and average position by search query.

30-day window

SELECT
  query,
  SUM(clicks) AS clicks,
  SUM(impressions) AS impressions,
  AVG(position) AS average_position,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.google_search_console_search_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY query
ORDER BY clicks 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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Emailing

Before you schedule the job.

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

Where do I configure a Google Search Console export to Snowflake?

Connect Google Search Console as a Catchr source. Add your existing Snowflake database, create a datastream, and configure a job that writes the selected fields to the "keywords" table.

Which parts of Google Search Console can be exported to Snowflake?

Select concrete Google Search Console fields such as Clicks, CTR, Impressions, and Normalized Week of the year. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as sites, pages, and queries.

How does Catchr process a large Google Search Console backfill into Snowflake?

Catchr first processes the historical range configured for Google Search Console. Later runs update the "keywords" table using the saved frequency and rolling import window.

How are overlapping Google Search Console import windows handled in Snowflake?

Catchr uses the selected partition field to refresh the relevant Google Search Console period inside "keywords". Leaving it blank changes the job to append-only behavior.

What can I analyze with Google Search Console data in Snowflake?

With Google Search Console data, a Snowflake query can summarize clicks, impressions, click-through rate, and average position by search query. A Snowflake view comparing Clicks and CTR can feed agency dashboards or downstream BI models.

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 ?

Our teams is always here to responds to any question you could have about our data connector.

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100+ sources

Used by the world's leading companies

Export Google Search Console data to Snowflake

Centralize Google Search Console data in PostgreSQL

Keep your Snowflake tables up to date

Unify Google Search Console with the rest of your business data

Google Search Console metrics and dimensions available in Snowflake

Connect Google Search Console to Snowflake in minutes

Connect your Google Search Console account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day Google Search Console organic search performance in SQL.

Choose what to load into Snowflake.

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