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Connect JSON / CSV / XML to PostgreSQL

Connect JSON / CSV / XML to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a JSON / CSV / XML API pipeline.

Used by the world's leading companies

Export JSON / CSV / XML data to PostgreSQL

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.

Data freshness

Keep your PostgreSQL tables up to date

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

Analysis

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

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

JSON / CSV / XML metrics and dimensions available in PostgreSQL

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...

0

Metrics availables

17

Dimensions availables

Connect JSON / CSV / XML to PostgreSQL in minutes

Move your data from JSON / CSV / XML to PostgreSQL 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.

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 PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields
Host Required
warehouse.company.net
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing
Step three

Keep your PostgreSQL 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.

JSON / CSV / XML.sql
BigQuery SQL
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 PostgreSQL.

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 PostgreSQL job for JSON / CSV / XML data?

Create the JSON / CSV / XML source, then register PostgreSQL with its host, database name, username, and password. Link both through a datastream and target the "columns" table in the job.

What JSON / CSV / XML data can I preview before the PostgreSQL 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 PostgreSQL job is saved.

What happens when a scheduled JSON / CSV / XML PostgreSQL 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 PostgreSQL?

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 PostgreSQL?

With JSON / CSV / XML data, a PostgreSQL query can summarize loaded rows, successful records, errors, and success rate by day. Use data sources and schemas in a PostgreSQL view to create a reusable reporting layer for client analysis.

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

Yes. Connect an existing PostgreSQL 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 Postgres 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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