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Connect JSON / CSV / XML to BigQuery

Connect JSON / CSV / XML to Big Query 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

BigQuery 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 Big Query

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize JSON / CSV / XML data in BigQuery

Bring all your JSON / CSV / XML Metrics 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

BigQuery catchr_data.JSON / CSV / XML_raw

TableScopeStatus

data_sourcesSelectedReady

schemasSelectedReady

tablesSelectedReady

columnsSelectedReady

Data Freshness

Keep your warehouse always up to date

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

JSON / CSV / XML MetricsConfigured account

BigQueryJSON / 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

Data Freshness

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

BigQuery 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 Google Big Query

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 BigQuery in minutes

Move your data from JSON / CSV / XML to BigQuery 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 Big Query Destination

Select your Google Cloud project and BigQuery dataset. Catchr automatically prepares the destination and maps your data into analytics-ready tables.

Destination / Google BigQuery Required fields

Project ID Required

Dataset ID Required

Service-account JSON key Required

Step three

Keep your warehouse in sync

Catchr continuously imports new and updated data into BigQuery.

Your warehouse stays fresh automatically, ready for SQL, dbt, BI tools, and AI workloads.

Destination / Google BigQuery Example

Project ID Required

agency-reporting-prod

Dataset ID Required

marketing_raw

Service-account JSON key Required

catchr-bigquery-writer.json

Destination table Per job

facebook_ads_daily

Date partition Optional

date

Recurring schedule Choose a cadence

Every 6 hours

Daily · 06:00

Weekly · Mon

First sync scheduled Selected fields · configured history

06:00 UTC

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

Once the table is available, query the fields you selected and named. 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

Connect more table to your JSON / CSV / XML data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Finance

Before you schedule the job.

Answers about available Meta Ads data, reporting cadence, history, table settings, attribution changes, and downstream joins.

How do I connect JSON / CSV / XML to BigQuery?

Add JSON / CSV / XML as a source in Catchr, choose BigQuery as the destination, select the fields to export, and authorize the target Google Cloud project and dataset.

What JSON / CSV / XML data can I send to BigQuery?

Export records, keys, paths, rows, columns, file metadata, timestamps, and any custom fields exposed by the connected file or database source.

How often can JSON / CSV / XML data be refreshed in BigQuery?

Schedule recurring refreshes in Catchr so your BigQuery tables stay updated automatically. Available frequencies depend on your plan, source limits, and reporting needs.

Can I combine JSON / CSV / XML data with other sources in BigQuery?

Yes. Keep sources in separate tables, then use SQL views or models to join them on shared dimensions such as date, campaign, account, customer, product, or region.

What can I build with JSON / CSV / XML data in BigQuery?

Create centralized raw tables, validation workflows, transformation models, historical archives, and datasets ready for SQL analysis or downstream BI tools.

Can the table be partitioned by date?

If your selected schema contains an eligible date field, you can configure that field as the optional date partition for the destination table. Catchr does not configure table clustering or design your downstream analytical models.

Can Catchr backfill history into BigQuery?

Yes. Configure the historical period supported by the source for the initial import, then keep the table updated with recurring exports. The available range is determined by the source API and the settings of your job, not an unlimited-history promise.

Still have a question ?

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

Your next BigQuery warehouse should not start with five exports.

Connect your accounts, choose the fields then send the configured export to your BigQuery project.

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100+ sources

Used by the world's leading companies

Export JSON / CSV / XML data to Big Query

Centralize JSON / CSV / XML data in BigQuery

Keep your warehouse always up to date

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

JSON / CSV / XML metrics and dimensions available in Google Big Query

Connect JSON / CSV / XML to BigQuery in minutes

Connect your JSON / CSV / XML account

Choose the Big Query Destination

Keep your warehouse in sync

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

Connect more table to your JSON / CSV / XML data

QuickBooks

MailerLite

JSON / CSV / XML

Firebase Realtime Database

ChatGPT

Braze

StackAdapt

Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

Outbrain DSP

Google Display & Video 360

Tiktok GMV

Chartmogul

Profitwell

Zoho CRM

Line Ads

Yahoo! Japan Display

Yahoo! Japan search ads

Xandr

Branch

Google Trends

Google Page Speed

Airbnb Review

Capterra Review

Facebook Review

Yelp Review

Glassdoor Review

Booking Review

Google Play Review

g2 Review

Appstore Review

Tripadvisor Review

Trustpilot Review

Indeed Review

Taboola

Teads

Outbrain

Magento

Prestashop

Bigcommerce

Youtube Analytics

Google Search Console

Awin

Pinterest Organic

Instagram Public Data

Pardot

Bing Webmaster Tool

AppsFlyer

Adjust

AdRoll

Criteo

Piano Analytics

X / Twitter Public Data

Adform

Amazon Seller

Piwik

Adtraction Advertising

CallRail

Google Ads

Facebook Ads

LinkedIn Ads

Microsoft Ads

Facebook Pages

Amazon Ads

Pinterest Ads

Twitter Ads