Extract Transform & Load Blinkit data to Google BigQuery without code

Extract, Transform & Load Blinkit data, in minutes, for free, with our reliable & scalable pre-built integrations.

Transform your data to an analytics ready format with post load transformations.

Use a DataChannel managed Google BigQuery data warehouse and reduce your administrative overheads.

Read the Blinkit documentation here →

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Get Setup in Minutes

Integrate Blinkit with Google BigQuery in minutes

Enter your Blinkit credentials

Select a predefined report or specific data to extract from

Select Google BigQuery as your target and start loading your data

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Why choose DataChannel for your Blinkit and Google BigQuery data integration

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About Blinkit

Blinkit is India's largest and most convenient hyper-local delivery company, which enables you to order grocery, fruits & vegetables, and other daily essential products, directly via your mobile or web browser.

Choose what data you would like to move from Blinkit

Invoice

This pipeline can be used to request and retrieve the invoices for the specified period.

Sales Report

This pipeline can be used to request and retrieve the sales report for the specified period.

Score Card Details

This pipeline can be used to request and retrieve the manufacturer’s score card details for the specified period.

Score Card Top 5 Potential Loss

This pipeline can be used to request and retrieve the manufacturer’s score card details for the top 5 potential loss makers, for the specified period.

Stock on Hand

This pipeline can be used to request and retrieve the current stock levels on hand.

Steps to Integrate Blinkit with Google BigQuery using DataChannel

  1. From the DataSources section select Blinkit as the data source.
  2. Select your added BigQuery data warehouse as the data destination. If you have not yet added a data warehouse, go to Data Warehouse tab and add a warehouse.
  3. Authorize DataChannel to connect to your Blinkit account using the (+) icon with your Client ID and Refresh Token. Their details can be found here.
  4. Click on + Data Pipeline to start adding data pipelines to your account.

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