Google Search Console
SourceUse Dataddo's Google Search Console connector to explore any data available via the official API of Google Search Console. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
Explore Data You Can Extract from Google Search Console
Data Category
- All Attributes (119)
- Daily Metrics (7)
- Daily Metrics by Country (8)
- Daily Metrics by Country and Device (9)
- Daily Metrics by Country and Query (9)
- Daily Metrics by Country, Device and Query (10)
- Daily Metrics by Page (8)
- Daily Metrics by Page and Device (9)
- Daily Metrics by Page and Query (9)
- Daily Metrics by Page, Country and Device (10)
- Daily Metrics by Page, Query and Device (10)
- Daily Metrics by Page, Query, Country and Device (11)
- Daily Metrics by Query (8)
- Daily Metrics by Query and Device (9)
- Sites Metadata (2)
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Available Attributes (119)
| Attribute |
|---|
date Date |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
country Country |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
country Country |
device Device |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
country Country |
query Query |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
country Country |
device Device |
query Query |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
device Device |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
query Query |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
device Device |
country Country |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
query Query |
device Device |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
url URL |
query Query |
device Device |
country Country |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
query Query |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
date Date |
query Query |
device Device |
clicks Clicks |
impressions Impressions |
ctr CTR |
position Position |
site Site URL |
query_type Query Type |
siteUrl Site URL |
permissionLevel Permission Level |
Pricing
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Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.
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Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.
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Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.
Full Visibility Into Every Data Flow
Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.
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Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.
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on data collection
80%
less
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maintenance
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