Connectors

/

Fullstory

Fullstory

Product Analytics

Sync Fullstory data anywhere.

Fullstory is a digital experience analytics platform that helps businesses understand how users interact with their websites and applications. It captures every user interaction, including clicks, scrolls, and keystrokes, and provides insights into user behavior, preferences, and pain points. Fullstory's features include session replay, which allows businesses to watch recordings of user sessions to identify issues and opportunities for improvement, as well as heatmaps, funnels, and conversion analytics. The platform also integrates with other tools such as Google Analytics and Salesforce to provide a comprehensive view of user behavior across the entire customer journey. Overall, Fullstory helps businesses optimize their digital experiences to improve customer satisfaction and drive business growth.

  • Standard
  • Alpha
  • 9 streams
Sync Fullstory dataRead the docs
  • 9Streams
  • 50+Destinations
One connector

Everything Fullstory can do in Airbyte

  • Sync to your warehouse

    Land 9 Fullstory tables in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • Cloud or self-hosted

    Run the Fullstory connector on Cloud, Self-Managed Enterprise.

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • NamespacesNot supported
  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version0.2.23

Set up in 10 steps

  1. First, navigate to the Airbyte website and log in to your account.
  2. Once you are logged in, click on the ""Sources"" tab on the left-hand side of the screen.
  3. Scroll down until you find the Fullstory source connector and click on it.
  4. You will be prompted to enter your Fullstory API key. If you do not have one, you can generate one by following the instructions on the Fullstory website.
  5. Once you have entered your API key, click on the ""Test"" button to ensure that the connection is working properly.
  6. If the test is successful, click on the ""Save"" button to save your Fullstory source connector settings.
  7. You can now use the Fullstory source connector to import data from Fullstory into Airbyte.
  8. To set up a new data integration, click on the ""Destinations"" tab on the left-hand side of the screen and select the destination you want to use.
  9. Follow the instructions for setting up the destination and mapping the Fullstory data to the appropriate fields in the destination.
  10. Once you have completed the setup process, you can run the integration to import data from Fullstory into your destination.
9 streams

Every table you can sync from Fullstory

  • calls

  • company

  • contacts

  • numbers

  • tags

  • user_availablity

  • users

  • teams

  • webhooks

Explore
All connectors
FAQ

Common questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What data can you extract from Fullstory?

Fullstory's API provides access to a wide range of data related to user behavior on a website or application. The following are the categories of data that can be accessed through Fullstory's API:

1. Session data: This includes information about user sessions, such as session ID, start and end time, and duration.

2. Page data: This includes data related to the pages that users visit, such as page URL, title, and referrer.

3. Event data: This includes data related to user interactions with the website or application, such as clicks, form submissions, and page scrolls.

4. User data: This includes data related to user attributes, such as user ID, email address, and location.

5. Device data: This includes data related to the devices that users are accessing the website or application from, such as device type, operating system, and browser.

6. Error data: This includes data related to errors that occur on the website or application, such as error messages and stack traces.

Overall, Fullstory's API provides a comprehensive set of data that can be used to gain insights into user behavior and improve the user experience.

How do I transfer data from Fullstory?

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. Scroll down until you find the Fullstory source connector and click on it.
4. You will be prompted to enter your Fullstory API key. If you do not have one, you can generate one by following the instructions on the Fullstory website.
5. Once you have entered your API key, click on the ""Test"" button to ensure that the connection is working properly.
6. If the test is successful, click on the ""Save"" button to save your Fullstory source connector settings.
7. You can now use the Fullstory source connector to import data from Fullstory into Airbyte.
8. To set up a new data integration, click on the ""Destinations"" tab on the left-hand side of the screen and select the destination you want to use.
9. Follow the instructions for setting up the destination and mapping the Fullstory data to the appropriate fields in the destination.
10. Once you have completed the setup process, you can run the integration to import data from Fullstory into your destination.

What are top ETL tools to transfer data from Fullstory?

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Fullstory data today

Free for 14 days on Airbyte Cloud. Set up the Fullstory connector once and let Airbyte keep it in sync.

Try it freeTalk to sales