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Connect JSON / CSV / XML to Snowflake

Connect JSON / CSV / XML 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 JSON / CSV / XML API pipeline.

JSON / CSV / XML export job

First sync scheduled

JSON / CSV / XML Selected accounts

Configured job

Snowflake Destination table

Account JSON / CSV / XML · 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 JSON / CSV / XML data to Snowflake

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize JSON / CSV / XML data in PostgreSQL

Bring all your JSON / CSV / XML data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

JSON / CSV / XML Data Infrastructure data

INdata_sources PMschemas CUtables BLcolumns

Catchr pipeline IN PM CU Extract · normalize · load

Snowflake catchr_data.JSON / CSV / XML_raw

TableScopeStatus

data_sourcesSelectedReady

schemasSelectedReady

tablesSelectedReady

columnsSelectedReady

Data freshness

Keep your Snowflake tables up to date

Automatically sync new data from JSON / CSV / XML so every dashboard, model, and report works with fresh information.

JSON / CSV / XMLConfigured account

SnowflakeJSON / CSV / XML 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

data_sources326 updated schemas102 appended Warehouse up to date

Analysis

Unify JSON / CSV / XML 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 data_sources · JSON / CSV / XML custom metric 1 Data Infrastructure

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

JSON / CSV / XML custom metric 1data_sources

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

JSON / CSV / XML metrics and dimensions available in Snowflake

Access 0 metrics and 17 dimensions from JSON / CSV / XML connectors including , Source URL, Response Format, Row Index, Date, Year month, Year and many more...

Metrics availables

Dimensions availables

View all JSON / CSV / XML Metrics metrics and dimensions

Connect JSON / CSV / XML to Snowflake in minutes

Move your data from JSON / CSV / XML 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 JSON / CSV / XML account

Authenticate your JSON / CSV / XML account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

JSON / CSV / XML 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 JSON / CSV / XML data ingestion quality in SQL.

This example summarizes loaded rows, successful records, errors, and success rate by day.

30-day window

SELECT
  date,
  SUM(row_count) AS rows,
  SUM(successful_rows) AS successful_rows,
  SUM(error_rows) AS error_rows,
  SAFE_DIVIDE(
    SUM(successful_rows),
    SUM(row_count)
  ) AS success_rate
FROM `your_project.marketing_raw.json_csv_xml_records_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY date
ORDER BY rows 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.

How do I create a Snowflake job for JSON / CSV / XML data?

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

What JSON / CSV / XML data can I preview before the Snowflake import?

Build the JSON / CSV / XML schema from available records such as data sources, schemas, tables, and columns, plus the supported account and date dimensions. Preview the selected columns before the Snowflake job is saved.

What happens when a scheduled JSON / CSV / XML Snowflake job runs?

Configure the initial JSON / CSV / XML period separately from the recurring schedule for "columns". The source API determines how much history is available.

What is the safest update strategy for JSON / CSV / XML data in Snowflake?

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

Which reporting workflow can I build from JSON / CSV / XML tables in Snowflake?

With JSON / CSV / XML data, a Snowflake query can summarize loaded rows, successful records, errors, and success rate by day. Use data sources and schemas 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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100+ sources

Used by the world's leading companies

Export JSON / CSV / XML data to Snowflake

Centralize JSON / CSV / XML data in PostgreSQL

Keep your Snowflake tables up to date

Unify JSON / CSV / XML with the rest of your business data

JSON / CSV / XML metrics and dimensions available in Snowflake

Connect JSON / CSV / XML to Snowflake in minutes

Connect your JSON / CSV / XML account

Choose the Snowflake destination

Keep your Snowflake tables updated

Review 30-day JSON / CSV / XML data ingestion quality in SQL.

Choose what to load into Snowflake.

ActiveCampaign

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Adjust

AdRoll

AdsWizz

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Amazon Ads

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Amazon Seller

Apple Search Ads

AppsFlyer

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Appstore Review

Awin

Bigcommerce

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Booking Review

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ChatGPT

Criteo

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Google Display & Video 360

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Google My Business

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Google Play Review

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Google Trends

Hubspot

Indeed Review

Instagram

Instagram Public Data

JSON / CSV / XML

Klaviyo

Line Ads

LinkedIn Ads

LinkedIn Pages

Magento

Mailchimp

MailerLite

Matomo

Microsoft Ads

Outbrain

Outbrain DSP

Pardot

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Pinterest Ads

Pinterest Organic

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Piwik

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