Connect Instagram to BigQuery

Popular use cases to transfer your Instagram data to BigQuery

Integrating Instagram data into a BigQuery destination offers various advantages, with specific use cases including:

Advanced Analytics

Leverage BigQuery’s robust data processing capabilities to conduct intricate queries and analyze Instagram data, uncovering insights beyond the limitations of the Instagram platform alone.

Data Consolidation

Synchronize Instagram data with BigQuery to centralize information from multiple sources, offering a comprehensive overview of operations. Establish a change data capture process to eliminate discrepancies in your data.

Data Security and Compliance

Utilize BigQuery’s robust security features to ensure the safety of Instagram data. This synchronization supports advanced data governance and compliance management.

Scalability

Accommodate substantial volumes of data without compromising performance, making BigQuery an optimal solution for growing businesses managing expanding Instagram datasets.

Data Science and Machine Learning

Aply machine learning models to Instagram data in BigQuery for predictive analytics, customer segmentation, and other data science applications.

Reporting and Visualization

While Instagram offers reporting tools, connect data visualization tools such as Tableau, Looker (Google Data Studio), and PowerBI to BigQuery. This integration enhances business intelligence options.

Historical Data Analysis

Overcome Instagram’s historical data limitations by syncing data to BigQuery, enabling long-term retention and analysis of historical trends.

Connect Instagram Business to BigQuery

It is very simple to connect Instagram Business to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.

First Step:

Register or log in if you already have an account.

You need to select Instagram as a Data Source and Grant Access to Windsor.ai.

Second Step:

Once you select the data source, click the Next (Data Preview Button). 

Select BigQuery by clicking on the logo, as shown in the screenshot below.  

Third Step:

Once you select BigQuery, click the Add Destination Task Button and fill out necessary fields . 

Fourth Step:

In the final step, grant access to the user: bq-upload@windsor-ai-bigquery.iam.gserviceaccount.com. That’s all!

Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

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Perform a Manual Data Migration from Instagram to BigQuery

In this approach, the Instagram Graph API is employed to retrieve data from your Instagram account. The Instagram Graph API, provided by Facebook, serves as an interface enabling programmable access and interaction with Instagram data. This API facilitates the extraction of various data types from Instagram, encompassing user data, media (photos and videos), comments, likes, insights, hashtags, locations, and mentions. It supports data retrieval from both creator and business accounts.

Prerequisites

1. Establish a new Facebook developer account or use an existing one.
2. Log in to your Instagram business account and link it to a Facebook page to gain access to the Instagram Graph API.
3. Generate the Instagram Graph API access token with the necessary permissions to access the required data.
4. Log in or create a new Google Cloud account for utilizing BigQuery. Subsequently, create a new project.