Google Play Google Play

Google Play

Source

Use Dataddo's Google Play connector to explore any data available via the official API of Google Play. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.

DATA FIELDS

Explore Data You Can Extract from Google Play

Data Category

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Available Attributes (36)

Attribute
date

Date

datetime
package_name

Package Name

string
version_code

Version Code

string
anr_rate

ANR Rate

float
user_perceived_anr_rate

User Perceived ANR Rate

float
distinct_users

Distinct Users

float
date

Date

datetime
package_name

Package Name

string
version_code

Version Code

string
crash_rate

Crash Rate

float
user_perceived_crash_rate

User Perceived Crash Rate

float
distinct_users

Distinct Users

float
review_id

Review Id

string
author_name sensitive

Author Name

string
user_comment_text

User Comment Text

string
user_comment_star_rating

User Comment Star Rating

string
user_comment_reviewer_language

User Comment Reviewer Language

string
user_comment_device

User Comment Device

string
user_comment_android_os_version

User Comment Android Os Version

string
user_comment_app_version_code

User Comment App Version Code

string
user_comment_app_version_name

User Comment App Version Name

string
user_comment_original_text

User Comment Original Text

string
user_comment_product_name

User Comment Product Name

string
user_comment_manufacturer

User Comment Manufacturer

string
user_comment_device_class

User Comment Device Class

string
user_comment_native_platform

User Comment Native Platform

string
user_comment_gl_es_version

User Comment Gl Es Version

string
user_comment_cpu_model

User Comment Cpu Model

string
user_comment_cpu_make

User Comment Cpu Make

string
user_comment_ram_mb

User Comment Ram Mb

string
developer_comment_text

Developer Comment Text

string
user_comment_thumbs_up_count

User Comment Thumbs Up Count

integer
user_comment_thumbs_down_count

User Comment Thumbs Down Count

integer
user_comment_screen_width_px

User Comment Screen Width Px

integer
user_comment_screen_height_px

User Comment Screen Height Px

integer
user_comment_screen_density_dpi

User Comment Screen Density Dpi

integer

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Architecture

The Dataddo Platform

One Ingestion Layer for SaaS, Databases, and Files

One Ingestion Layer for SaaS, Databases, and Files

Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.

Built for Cloud and On-Premise Environments

Built for Cloud and On-Premise Environments

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.

Full API Control - No UI Required

Full API Control - No UI Required

Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.

Managed Ingestion Operations. We Own the Reliability.

Managed Ingestion Operations. We Own the Reliability.

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

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.

The Data Foundation Your AI Needs

The Data Foundation Your AI Needs

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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Testimonials

Our Customers Love Us

, Anonymous

Global Beauty & CPG Leader

Anonymous

“I wanted to take a moment to express my gratitude for your invaluable collaboration throughout the year. Working with you has been a real pleasure. Your professionalism, reactivity and dedication to quality has been instrumental in accomplishing the migration of Facebook Ads sourcing. I truly value our partnership and look forward to continuing our collaboration.”

Amalia Bornstein, Uber Eats

Amalia Bornstein

Global Social Content and Marketing Data Analyst

Uber Eats

“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”

Andrew Hart, Sat 7

Andrew Hart

Chief Operations Officer

Sat 7

“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”

Vahan Petrosayan, Search Engine Journal

Vahan Petrosayan

Director of IT & Infrastructure

Search Engine Journal

“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”

Michael Guntenaar, ID&T Group

Michael Guntenaar

CTO

ID&T Group

“Dataddo opens up gates and takes away the hurdles of working with data.”

Laurent Partouche, FoodChéri & Seazon

Laurent Partouche

CPO

FoodChéri & Seazon

“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”

Natheer Maloon, Boldr

Natheer Maloon

Technology Solutions Manager

Boldr

“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”

Zdeněk Hejnak, Livesport

Zdeněk Hejnak

Data Development Team Leader

Livesport

“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”

Greg Senior, Farm Focus

Greg Senior

Business Operations Manager

Farm Focus

“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”

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