Connectors

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Pardot

Pardot

Marketing Analytics

Sync Pardot data anywhere.

Pardot is a marketing automation platform that helps businesses streamline their marketing efforts and generate more leads. It offers a range of tools and features, including email marketing, lead scoring, lead nurturing, and analytics. With Pardot, businesses can create targeted campaigns that reach the right audience at the right time, and track their performance to optimize their marketing strategies. The platform also integrates with Salesforce, allowing businesses to seamlessly manage their sales and marketing efforts in one place. Overall, Pardot is designed to help businesses improve their marketing ROI and drive growth.

  • Standard
  • Alpha
  • 33 streams
Sync Pardot dataRead the docs
  • 33Streams
  • 50+Destinations
One connector

Everything Pardot can do in Airbyte

  • Sync to your warehouse

    Land 33 Pardot 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 Pardot connector on Cloud, Self-Managed Enterprise.

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Available onCloud, Self-Managed Enterprise
  • Destinations50+ Airbyte connectors
  • Connector version1.0.53

Set up in 11 steps

  1. First, log in to your Pardot account and navigate to the ""Settings"" tab.
  2. Click on ""Connectors"" and then select ""Add Connector.""
  3. Choose ""API User Key"" as the connector type and give it a name.
  4. Generate an API user key by clicking on ""Generate User Key"" and copy it.
  5. In Airbyte, navigate to the ""Sources"" tab and click on ""New Source.""
  6. Select ""Pardot"" as the source type and give it a name.
  7. Paste the API user key into the ""API User Key"" field.
  8. Enter your Pardot username and password in the appropriate fields.
  9. Click on ""Test Connection"" to ensure that the connection is successful.
  10. If the test is successful, click on ""Create Source"" to save the configuration.
  11. You can now use the Pardot source connector in Airbyte to extract data from your Pardot account.
33 streams

Every table you can sync from Pardot

  • Account (Metadata)

  • Campaigns

  • Custom Fields

  • Custom Redirects

  • Dynamic Content

  • Dynamic Content Variations (incremental parent)

  • Emails

  • Email Clicks (v4 API)

  • Engagement Studio Programs

  • Files

  • Folders

  • Folder Contents

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 Pardot?

Pardot's API provides access to a wide range of data related to marketing automation and lead management. The following are the categories of data that can be accessed through Pardot's API:

1. Prospects: Information about individual leads, including their contact details, activity history, and lead score.

2. Campaigns: Details about marketing campaigns, including their status, performance metrics, and associated assets.

3. Lists: Information about lists of prospects, including their size, membership criteria, and segmentation rules.

4. Emails: Details about email campaigns, including their content, delivery status, and engagement metrics.

5. Forms: Information about web forms used to capture lead data, including their design, submission data, and conversion rates.

6. Landing Pages: Details about landing pages used to drive lead generation, including their design, traffic sources, and conversion rates.

7. Tags: Information about tags used to categorize prospects, campaigns, and other marketing assets.

8. Users: Details about Pardot users, including their roles, permissions, and activity history.

9. Custom Objects: Information about custom objects created in Pardot, including their fields, records, and relationships with other objects.

Overall, Pardot's API provides a comprehensive set of data that can be used to optimize marketing campaigns, improve lead management, and drive business growth.

How do I transfer data from Pardot?

1. First, log in to your Pardot account and navigate to the ""Settings"" tab.
2. Click on ""Connectors"" and then select ""Add Connector.""
3. Choose ""API User Key"" as the connector type and give it a name.
4. Generate an API user key by clicking on ""Generate User Key"" and copy it.
5. In Airbyte, navigate to the ""Sources"" tab and click on ""New Source.""
6. Select ""Pardot"" as the source type and give it a name.
7. Paste the API user key into the ""API User Key"" field.
8. Enter your Pardot username and password in the appropriate fields.
9. Click on ""Test Connection"" to ensure that the connection is successful.
10. If the test is successful, click on ""Create Source"" to save the configuration.
11. You can now use the Pardot source connector in Airbyte to extract data from your Pardot account.

What are top ETL tools to transfer data from Pardot?

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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