Every metric & dimension
Pull the full Google Local Services field set - not just a fixed preset - so your reports and models are never missing a metric or breakdown.
Google Local Services
Google Local Services
Marketing AnalyticsDataddo pulls the full Google Local Services metric and dimension set and delivers it wherever your team needs it - into AI tools and agents, straight to Looker Studio, Power BI, and Tableau, or into Snowflake, BigQuery, and your CRM and ad tools. Blend it with every other channel, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR MARKETING SOURCE OF TRUTH
Turn Google Local Services into reporting your whole team trusts
Marketing data is only useful when it's complete, clean, and current. Dataddo extracts the full Google Local Services field set, governs it, and serves it to every dashboard, warehouse, and tool - continuously and without manual exports.
Blend across channels
Combine Google Local Services with your other paid, organic, CRM, and sales sources so cross-channel performance lives in one place.
Backfill full history
Load historical Google Local Services data beyond the platform's native retention window, so trends and year-over-year comparisons hold up.
Model & clean before load
Normalize currencies, time zones, and naming, and let the Data Quality Firewall stop bad rows before Google Local Services data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep Google Local Services data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in Google Local Services data early, so dashboards and models never silently break.
DATASETS
What you can pull from Google Local Services
The Google Local Services connector provides a list of curated datasets - ready-made sets of metrics, dimensions, and attributes you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
Account IDaccount_id
string
Start Datestart_date
string
End Dateend_date
string
Business Namebusiness_name
string
Average Weekly Budgetaverage_weekly_budget
float
Average Five Star Ratingaverage_five_star_rating
float
Total Reviewtotal_review
integer
Phone Lead Responsivenessphone_lead_responsiveness
float
Current Period Charged Leadscurrent_period_charged_leads
integer
Previous Period Charged Leadsprevious_period_charged_leads
integer
Current Period Total Costcurrent_period_total_cost
float
Previous Period Total Costprevious_period_total_cost
float
Current Period Connected Phone Callscurrent_period_connected_phone_calls
integer
Currency Codecurrency_code
string
Current Period Phone Callscurrent_period_phone_calls
integer
Previous Period Phone Callsprevious_period_phone_calls
integer
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep Google Local Services data flowing to every dashboard, warehouse, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Google Local Services keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Google Local Services data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Google Local Services reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Google Local Services metric you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where Google Local Services data is processed - same cloud, region, or sovereign
Google Local Services is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Google Local Services payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver Google Local Services data
Marketing data rarely has one home. Dataddo feeds Google Local Services into AI and agents, loads it into your warehouse for modeling, activates audiences back into ad and CRM tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI™ & Agents | Feed Google Local Services data into vector databases, LLMs, and AI agents so they can reason over your marketing data. | Load Google Local Services data into vector stores like Pinecone or Weaviate for retrieval-augmented generation, Give AI agents and copilots governed access to live Google Local Services metrics | |
| ETL / ELT to your warehouse | Load Google Local Services metrics and dimensions into your warehouse for modeling and cross-channel analytics. | Centralize Google Local Services alongside every other channel in Snowflake, BigQuery, or Redshift, Backfill Google Local Services history beyond the platform's native retention window | |
| Activate audiences & conversions | Push segments and offline conversions built from Google Local Services data back into ad and CRM platforms. | Send modeled audiences from Google Local Services to ad platforms for targeting and suppression, Return offline or downstream conversions to optimize Google Local Services campaigns | |
| Files to storage & partners | Deliver raw or modeled Google Local Services extracts to object storage and partners. | Archive raw Google Local Services exports to S3, GCS, or Azure storage, Send scheduled Google Local Services report extracts to clients over SFTP |
Claude
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Google Ads
Meta
HubSpot
Salesforce
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
Pricing
Pick the plan that fits how you use your data.
Move data into your warehouse, lake or business apps with Data Anywhere, or let your AI assistants query it directly with Data to AI™. Need tailored contracts or volume pricing? Talk to us about Enterprise.
FAQ
Google Local Services as a source + Dataddo, answered
Where can I send Google Local Services data?
To any of Dataddo's 150+ destinations - BI dashboards like Looker Studio, Power BI, and Tableau, warehouses like Snowflake and BigQuery, CRMs, ad platforms, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the Google Local Services connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Can I send Google Local Services data to a dashboard without a warehouse?
Yes. Dataddo can deliver Google Local Services data straight to Looker Studio, Power BI, or Tableau, so you can start reporting without standing up a warehouse first. When you're ready to model across channels, point the same pipeline at Snowflake, BigQuery, or Redshift - no rebuild.
What if Google Local Services changes their API?
That's on us, not you. Dataddo's team proactively tracks Google Local Services API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Google Local Services data keeps flowing without you touching a thing.
Which Google Local Services metrics and dimensions are available?
The full Google Local Services API surface - every metric, dimension, and breakdown, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits or sampling be a problem?
Dataddo handles Google Local Services pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within quota. Where the platform samples data, we fetch at the most granular level available to keep reports accurate.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.