Automate JSON to BigQuery integration

Get analysis-ready data from JSON to BigQuery on a schedule to streamline your reporting & analytics.

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Why load JSON data to BigQuery

Export data no-code via API

Transfer data from your apps via the web API with a few clicks using the JSON to BigQuery integration. Retrieve the records and meta data that are not accessible when you manually export data as CSV or Excel. Automate exports of information from your source via API every 15 minutes, hourly, daily, or customize the schedule based on your needs.

Back up historical data

Build a backup of historical data imported from your source application, stock screener, or any other web source with JSON API. Keep the copy of the necessary records in Google Sheets and automate their backup on the schedule you want.

Accumulate data from multiple sources in one destination

Create a data repository of multiple sources in one place - BigQuery. Connect to your apps via API and automate export of the required data to have it updated in your repository. Query the imported JSON records to your BigQuery tables with the power of BigQuery SQL.

What JSON data you can import to BigQuery

01. Project management apps

Export issues, boards, documents, events, pages and other information stored in your project management software such as Asana, Coda, Pivotal Tracker, and others.

02. Online marketplaces

Get a copy of your listings, customers, prices, reviews and other sales data if you use online marketplaces like Etsy or Salesforce for your e-commerce business.

03. Time trackers

Load records from Toggl, Clockify or other time trackers to have a backup copy for tracking different performance metrics such as employee utilization.

04. Marketing platforms

Import valuable insights of your audience obtained with the help of marketing automation tools such as Reply.io, ActiveCampaign and many others.

05. Communication tools

Increase the efficiency of your collaboration environment by analyzing the statistics exported from communication platforms like Slack, Ryver, etc.

06. Statistics portals

Get the datasets stored in JSON format on open data portals and statistics websites to create a data repository for your project.

07. Many others

Connect to the JSON API of many other miscellaneous apps to pull data to BigQuery without any coding skills, and automate the export to keep the data repository up-to-date.

How to import JSON to BigQuery

Step 1. Select JSON as a source application
5 seconds
Step 2. Enter the JSON URL to load data from
15 seconds
Step 3. Configure the parameters to connect to the JSON API and query data if required (HTTP method, HTTP headers, URL query string, etc.)
2 minutes
Step 4. Select BigQuery as a destination application, connect your BigQuery project, then specify the dataset and table to load the JSON data
2 minutes
Step 5. Customize a frequency for data refresh
20 seconds
Step 6. Run the JSON to BigQuery integration to import your initial records
5 seconds

Why use Coupler.io to set up JSON to BigQuery integration

Loading JSON data to BigQuery without coding is possible with Coupler.io. You won’t need to use Python, R or other code-based solutions to retrieve data via web API. A few clicks will let you set up a stable JSON to BigQuery integration for loading the required data.

Integrate with your apps that provide API to load JSON into BigQuery directly, excluding manual download/upload of exported CSV or XLSX files. Access a wide range of data entities and implicit details available for export via API.

You will always have your imported data up to date if you enable the automatic data refresh. This is a highly beneficial feature if you need to create a backup copy that will update without your supervision. In addition, this will let you build live dashboards or metrics trackers that use your data repository in BigQuery. Coupler.io is designed for you to enjoy the time you can save implementing this no-code approach to your data transfer routine.

JSON

BigQuery