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Connect GitBook to Snowflake

Send GitBook users, organizations, insights traffics and 2 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.

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Snowflake schema gitbook
  • users
  • organizations
  • insights_traffics
  • contents
  • org_members
Each GitBook data type lands in its own table. You pick the schema and table names.
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How to connect GitBook and Snowflake

4 steps. You can preview the GitBook data in Coupler.io before anything reaches Snowflake.

Step 1 of 4

Connect GitBook

Enter your GitBook access token. You only do this once per account.

Access token••••••••••••

Step 2 of 4

Choose what to export

Pick the GitBook data you want in Snowflake.

Space IDNot setSpecify the unique identifier for the GitBook space you want to export data from.

Step 3 of 4

Connect Snowflake

Sign in to Snowflake with OAuth, then enter the database, schema, and table for the GitBook data.

DatabaseANALYTICSThe target Snowflake database
SchemagitbookDefaults to public
TableusersCreated automatically on the first run

Step 4 of 4

Choose a write mode and schedule

Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in users and loads fresh GitBook data.

Get the most of GitBook to Snowflake integration

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Gather data

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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
GitBook to Snowflake questions

5 data types, including Users, Organizations, Insights traffics, Contents and Org members.

With your GitBook access token, entered once when you add the connection.

Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.

Yes. Append adds new rows to users on each run, while Replace swaps in a fresh copy. With Append, add new GitBook columns to the table yourself before the next run.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches Snowflake.

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