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Connect TikTok to Snowflake

Connect TikTok 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 TikTok API pipeline.

Used by the world's leading companies

Export TikTok data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize TikTok Organic data in PostgreSQL

Bring all your TikTok Organic 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 TikTok Organic so every dashboard, model, and report works with fresh information.

Analysis

Unify TikTok with the rest of your business data

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

TikTok metrics and dimensions available in Snowflake

Access 29 metrics and 32 dimensions from TikTok connectors including Video Views, Reach, Profile Views, Likes, Comments, Shares, New Followers, Average Watch Time, Watched Full Video Rate, Bio Link Clicks, Date, Title, Video ID, Created Time, Audience Country, Audience City Name, Audience Age, Audience Gender, Traffic Impression Source, Share URL and many more...

29

Metrics availables

32

Dimensions availables

Connect TikTok to Snowflake in minutes

Move your data from TikTok 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 TikTok account

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

Client A · Connected sources
5 sources ready
TikTok TikTok 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 TikTok organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

TikTok Organic.sql
BigQuery SQL
30-day window
SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.tiktok_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements 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 create a Snowflake job for TikTok data?

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

What TikTok data can I preview before the Snowflake import?

Select concrete TikTok fields such as User's followers count, User's Following count, User Like count, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, profiles, and posts.

What happens when a scheduled TikTok Snowflake job runs?

Configure the initial TikTok period separately from the recurring schedule for "profiles". The source API determines how much history is available.

What is the safest update strategy for TikTok data in Snowflake?

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

Which reporting workflow can I build from TikTok tables in Snowflake?

With TikTok data, a Snowflake query can summarize impressions, reach, engagements, and engagement rate by post. Use User's followers count and User's Following count 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.

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