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PostHog

PostHog

Product Analytics

Sync PostHog data anywhere.

PostHog is an open-source Product Analytics software-as-a-service (Saas) for developers, aimed at helping software teams better understand user behavior. Offering a private cloud option to alleviate GDPR concerns, it provides the features engineers need most: it helps them automate events, understand their product usage and user data collections, tracks which features are being triggered for product events, etc.

  • Standard
  • Beta
Sync PostHog dataRead the docs
  • 50+Destinations
One connector

Everything PostHog can do in Airbyte

  • Sync to your warehouse

    Land PostHog data in 50+ destinations on a schedule you control.

  • One authorization

    Authenticate PostHog once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

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

Sync capabilities

  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version1.1.25

Set up in 8 steps

  1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."
  2. Select "Posthog" from the list of available sources.
  3. Enter a name for your Posthog source and click "Next."
  4. Enter the URL for your Posthog instance and click "Next."
  5. Enter your Posthog API key and click "Next."
  6. Select the tables you want to replicate and click "Next."
  7. Choose the frequency at which you want Airbyte to sync your data and click "Next."
  8. Review your settings and click "Create source" to finish setting up your Posthog source connector on Airbyte.
Authentication

Authenticate PostHog once

  • API Key

    API Key. See the docs for information on how to generate this key.

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 PostHog?

Posthog's API gives access to a wide range of data related to user behavior and interactions with a website or application. The following are the categories of data that can be accessed through Posthog's API:

1. Events: This includes data related to user actions such as clicks, page views, and form submissions.

2. Users: This includes data related to user profiles such as email addresses, names, and user IDs.

3. Sessions: This includes data related to user sessions such as session IDs, start and end times, and session duration.

4. Funnels: This includes data related to user journeys through a website or application such as the steps they take to complete a specific task.

5. Retention: This includes data related to user retention such as the percentage of users who return to a website or application after a certain period of time.

6. Cohorts: This includes data related to user groups such as users who signed up during a specific time period or users who completed a specific action.

7. Trends: This includes data related to changes in user behavior over time such as changes in the number of page views or clicks.

How do I transfer data from PostHog?

1. First, navigate to the "Sources" tab on the Airbyte dashboard and click "Create a new source."

2. Select "Posthog" from the list of available sources.

3. Enter a name for your Posthog source and click "Next."

4. Enter the URL for your Posthog instance and click "Next."

5. Enter your Posthog API key and click "Next."

6. Select the tables you want to replicate and click "Next."

7. Choose the frequency at which you want Airbyte to sync your data and click "Next."

8. Review your settings and click "Create source" to finish setting up your Posthog source connector on Airbyte.

What are top ETL tools to transfer data from PostHog?

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.

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Start moving PostHog data today

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

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