Integrate Google Reviews with Amazon S3 Data Lake

Don't go through the pain of direct integration. RudderStack’s Google Reviews integration makes it easy to send data from Google Reviews to Amazon S3 Data Lake and all of your other cloud tools.

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Easy Google Reviews to Amazon S3 Data Lake integration with RudderStack

RudderStack’s open source Google Reviews integration allows you to integrate RudderStack with your Google Reviews to track event data and automatically send it to Amazon S3 Data Lake. With the RudderStack Google Reviews integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Available via webhook

Add Google Reviews as a source in RudderStack by enabling a webhook source in your RudderStack dashboard, then using our Transformations feature to re-shape the incoming payload. Once configured, RudderStack will send data from your Google Reviews source to any destinations you connect. (Note, you will need to configure outbound webhooks in Google Reviews.)

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Frequently Asked Questions

Can you export data from Google Reviews?

Depending on the format, there are multiple ways to export data from Google Reviews, whether manually, through a native integration or through a data platform like RudderStack.

How do you load data from Google Reviews into Amazon S3 Data Lake?

There are two primary ways: First, you could write your own code script to pull the data and load it via API. Second, you could use an ETL integration provider like RudderStack to load the data automatically.

How much does it cost to load data from Google Reviews into Amazon S3 Data Lake?

Building your own integration between Google Reviews and Amazon S3 Data Lake costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.

RudderStack Amazon S3 Data Lake Documentation

Refer to our step-by-step guide and start using Amazon S3 Data Lake today

About Amazon S3 Data Lake

Amazon S3 is a cloud-based object storage service that can store huge amounts of data (both structured and unstructured) for various use cases, including websites, mobile apps, IoT devices, and more. It enables you to build a cost-effective data lake of any size or scale. An S3-powered data lake enables you to easily use the native AWS services for data processing, analytics, machine learning, and more.