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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Google Search Console to Amazon S3

ETL Google Search Console data to Amazon S3

Start free trial

Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Google Search Console is a powerful tool for tracking your website’s search performance and visibility.
Renta Marketing ELT seamlessly transfers your Search Console data to Amazon S3, enabling advanced analytics and reporting in your own secure environment.
Unlock deeper marketing insights and empower your data teams with automated, reliable data integration.

Set up your ELT pipeline in 3 simple steps

Select Google Search Console as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Search Console as the data source in Renta.
1Connect your source

Select Google Search Console as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Search Console as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Google Search Console API

Renta supports 6 methods of data export using the Google Search Console API.

sites.list

Retrieves a list of properties (websites) that are verified and accessible to the authenticated user, including site URLs and permission levels.

searchanalytics.query

Returns performance data for a property, such as clicks, impressions, CTR, and average position, segmented by dimensions like date, query, page, country, and device.

sitemaps.list

Lists all sitemaps submitted for a specific property, providing details such as sitemap type, submission date, and status.

sitemaps.get

Retrieves detailed information about a specific sitemap, including its contents, last submitted date, and any detected errors or warnings.

urlInspection.index.inspect

Provides index status and coverage details for a specific URL, including crawl status, indexing issues, and enhancements detected by Google.

sites.get

Fetches metadata for a specific property, such as site type, verification status, and user permissions.

Use cases

Unlock actionable Google Search Console insights

  • Automate daily export of search queries to S3 for long-term SEO trend analysis
  • Combine GSC click data with sales data in S3 to measure organic ROI by product
  • Detect sudden drops in impressions by scheduling GSC data snapshots to S3
  • Enrich S3 data lakes with GSC crawl errors for proactive site health monitoring
  • Aggregate GSC keyword rankings in S3 to benchmark against competitors over time
  • Feed GSC performance data from S3 into BI tools for custom traffic attribution models
Start free trialNo credit card required
Use cases: Google Search Console and Amazon S3 integration
TEMPLATES

Start quickly with these use case templates

LinkedIn Ads
Google BigQuery

How to load LinkedIn Ads data into Google BigQuery

Google Sheets
Snowflake

How to securely load data from Google Sheets to Snowflake

Facebook
Renta

Implement Facebook Conversion API without any code

Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
Resources
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  • How to load LinkedIn Ads data into Google BigQuery

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