Connect your LinkedIn Business Page data with your BI or data warehouse

Analytics data about LinkedIn Business page where you need it to be.

LinkedIn Business Page data integration

LinkedIn Business Page data in your data warehouse or BI tool in few minutes.

What is LinkedIn Business Page?

LinkedIn is an American business and employment-oriented service that operates via websites and mobile apps. They currently have 630 million registered users in 150 different countries.

LinkedIn Business Page official website

Learn more about LinkedIn Business Page integration

Dataddo provides a detailed documentation on how to setup a connection with LinkedIn Business Page data and delivery to the chosen destination.

LinkedIn Business Page documentation

Available destinations

Out-of-the-box connection with your existing BI and data stack.

Data storages

Dataddo supports delivery of LinkedIn Business Page data to wide range cloud data storages such as Google Big Query or AWS Redshift, on-prem data warehouses including MariaDB, PostreSQL or SQL Server, as well as file servers including Amazon S3 or Google Sheets.

+ other storages using FTP, SFTP and HTTP protocols.

BI / Dashboarding apps

Dataddo can feed various Business Intelligence and Dashboarding apps with LinkedIn Business Page data. For low-level implementations Dataddo provides REST API.

+ other apps using our REST API.

Why Dataddo?

Out-of-the-box connection with your existing BI and data stack.

Zero maintenance

Dataddo automatically takes care of all API interfaces, so you no longer have to worry that API changes break down your dashboards.

Unbeatable time-to-delivery

Scared that the data integration projects take many months? With Dataddo, you can deploy your data pipelines within a few minutes.

No coding required

Dataddo is built to be operated by non-tech users. Thought the platform offers great capabilities in data manipulation and transformation, no coding is required to operate it.

Centralized management

Regardless of the systems, you are using, and the data you are working with, Dataddo provides centralized management and monitoring of all your data pipelines, eliminating undocumented flows and hidden dependencies.

Works well with your existing data stack

Dataddo easily interoperates with your existing Data Warehouse, Business Intelligence or Dashboarding Tools.

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Pricing

Pay as you grow. No long-term commitments.

Self-serve
$20/connection/month

  • Daily sync period
  • 1 user
  • Best effort support
  • Self-serve onboarding
  • Standard connectors only (premium connections for $35/m each)

  • Unlimited destinations
  • FREE Initial historic data load
  • Priority in connector roadmap
  • Multi-account extraction
  • Multiplexing
Try 14-day trial
Pro
$35/connection/month

  • Hourly sync period
  • 5 users
  • Guaranteed SLA
  • Assisted onboarding
  • All connectors including premium available

  • Unlimited destinations
  • FREE Initial historic data load
  • Priority in connector roadmap
  • Multi-account extraction
  • Multiplexing
Try 14-day trial
Enterprise
contact sales

  • 5 min sync period
  • Unlimited users
  • Guaranteed SLA, Account manager
  • Dedicated integration architect
  • All connectors including premium available

  • Unlimited destinations
  • FREE Initial historic data load
  • Priority in connector roadmap
  • Multi-account extraction
  • Multiplexing
Contact us

What is data connection?

When 3rd party services are connected to Dataddo and a dataset definition is set, it is referred to as a Data Connection. Most marketing data sources such as Facebook Ads, Google Analytics and others only require one Data Connection for each account or page. Depending on your data requirements, other services may require multiple connections in order to provide all of the desired data pertaining to a specific account.

Which connections are considered as premium?

In general, all non-marketing connections, such as Salesforce, Hubspot, Xero or Stripe are considered as premium.

Learn more about Dataddo pricing principles on Dataddo documentation