---
title: "Salesforce Pardot"
slug: "salesforce-pardot"
description: "Connect Salesforce Pardot to Dataddo and sync its data to any dashboard, database, or data warehouse. No coding required."
updated: 2026-07-09T08:34:29Z
published: 2026-07-09T08:34:29Z
canonical: "docs.dataddo.com/salesforce-pardot"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Salesforce Pardot

The Salesforce Pardot connector lets you extract data from Salesforce Pardot into Dataddo and sync it to any dashboard, database, or data warehouse.

Refer to our website for [the list of available metrics and attributes](https://dataddo.com/connector/pardot) you can extract from Salesforce Pardot.

If you have multiple Salesforce Pardot accounts and would like to extract the same data from all of them, it's possible through [multi-account extraction](/docs/multi-account-extraction). Contact our Solutions team to enable this feature.

## Data Coverage

Salesforce Pardot exposes the following datasets. Each dataset maps to a table you can extract. Example fields are a representative sample; each dataset returns more columns.

| Dataset | Description | Example fields | Date range |
| --- | --- | --- | --- |
| Accounts V5 | List of Accounts | ID, Address One, Address Two, Admin ID, City, Company (+14 more) | No |
| Campaigns V4 | List of campaigns for a given time period | ID, Cost, Name | Yes |
| Campaigns V5 | List of campaigns for a given time period | ID, Cost, Name | Yes |
| Custom fields data V5 | List all custom fields in prospects created during a given period. Field ID is same as in Prospect dataset. Should be used for pairing these 2 datasets. | dynamic (from your account) | Yes |
| Custom Fields V5 | List of custom fields | Field ID, Created At, Created By ID, ID, Is Analytics Synced, Name (+3 more) | No |
| Custom Redirects V5 | List of custom redirects | ID, Folder ID, Salesforce Id, Tracker Domain ID, createdById, Bitly Is Personalized (+11 more) | No |
| Dynamic content V4 | List of dynamic content for a given time period | ID, Based On, Created at, Name, Updated at | Yes |
| Dynamic content V5 | List of dynamic content for a given time period | ID, Based On, Created at, Name, Updated at | Yes |
| Email clicks V4 | Email clicks for a given period | ID, Created at, List email ID, Prospect ID, URL | Yes |
| Email Templates V5 | Reusable email layouts for Engagement Programs, autoresponders, one-to-one, and list emails. | ID, Campaign ID, Created at, Created by ID, Folder ID, Is Autoresponder (+11 more) | Yes |
| Emails V5 | One-to-one sent emails and their properties. | ID, Campaign ID, Client Type, Created by ID, Email Template ID, Folder ID (+8 more) | Yes |
| Engagement Studio Programs V5 | Engagement Studio programs and their metadata. | ID, Created at, Created by ID, Description, Folder ID, Is deleted (+8 more) | Yes |
| Form Fields V5 | List of form fields | Created At, Created By Id, Css Classes, Data Format, Error Message, Form ID (+14 more) | No |
| Form Handlers V5 | List of form handlers | Campaign ID, Created At, Created By ID, Embed Code, Error Location, Folder ID (+11 more) | No |
| Forms V5 | List of Forms | After Form Content, Before Form Content, Campaign ID, Checkbox Alignment, Created At, Created By ID (+23 more) | No |
| Landing Pages V5 | List of landing pages | archiveDate, bitlyIsPersonalized, bitlyShortUrl, campaignId, createdAt, createdById (+19 more) | No |
| Lifecycle Histories V5 | List of Lifecycle histories | ID, Next Stage ID, Previous Stage ID, Prospect ID, Created at, Seconds Elapsed | No |
| Lifecycle Stages V5 | List of Lifecycle stages | createdAt, id, isDeleted, isLocked, matchType, name (+2 more) | No |
| List Emails Statistics V5 | Retrieving a collection of list emails. | ID, Campaign ID, Click Open Ratio, Click Through Rate, Client Type, Created At (+31 more) | Yes |
| List Emails V5 | Retrieving a collection of list emails. | ID, Campaign ID, Client Type, Created At, Created By ID, Email Template ID (+12 more) | Yes |
| List Memberships V5 | A list is a group of prospects that you can use to send list emails or to feed engagement programs. | ID, Created at, Created by ID, Is deleted, List ID, Opted Out (+3 more) | Yes |
| Lists V4 | Lists data | ID, Created at, Is CRM visible, Is dynamic, Is public, Name (+2 more) | Yes |
| Lists V5 | A list is a group of prospects that you can use to send list emails or to feed engagement programs. | ID, Campaign ID, Created at, Created by ID, Description, Folder ID (+7 more) | Yes |
| Opportunities V5 | List of opportunities | ID, Campaign ID, Salesforce ID, Closed at, Created at, Created by ID (+8 more) | No |
| Prospect Accounts V5 | Retrieving a collection of prospect accounts. | ID, Annual Revenue, Assigned To Created At, Assigned To Email, Assigned To ID, Assigned To Updated At (+32 more) | Yes |
| Prospects V4 | List all prospects created during a given period | ID, Lead Status, Address one, Address two, Annual revenue, Campaign ID (+41 more) | Yes |
| Prospects V5 | List all prospects created during a given period | ID, Address one, Address two, Annual Revenue, Assigned To ID, Campaign ID (+63 more) | Yes |
| Tags V5 | List of tags | ID, Created at, Created by ID, Name, Object Count, Updated at (+1 more) | No |
| Visitor activity V4 | List of visitor activity for a given time period | ID, Campaign cost, Campaign ID, Campaign name, Created at, Custom redirect ID (+17 more) | Yes |
| Visitor Activity V5 | Activities representing how visitors/prospects interact with your website and emails. | ID, Campaign ID, Created at, Custom Redirect ID, Details, Email ID (+17 more) | Yes |
| Visitor Page Views V5 | List of visitor page views | ID, Campaign ID, Salesforce ID, Visit ID, Visitor ID, Created at (+3 more) | No |
| Visitors V4 | List of visitors for a given time period | ID, Campaign parameter, Content parameter, Created at, Hostname, IP address (+5 more) | Yes |
| Visitors V5 | List of visitors for a given time period | ID, Campaign ID, Campaign parameter, Content parameter, Created at, Do not sell (+9 more) | Yes |
| Visits V5 | List of visits | ID, Prospect ID, Visitor ID, Campaign Parameter, Content Parameter, Created at (+8 more) | No |

## How Data Extraction Works

What each extraction pulls depends only on whether a dataset supports a date range (see the Date range column above):

- **Date range supported (Yes):** the source reads a relative window (for example "last 7 days"), and that window slides forward with the current date. Every run re-reads the window, so a range of "1 day ago" always pulls the previous day (D-1). Each run replaces the window's data rather than adding older history. To load records from before the window, run a full data re-sync with a wider range. See [Data Backfilling](/docs/data-backfilling).
- **No date range (No):** every run pulls all currently available data.

Set the relative date range when you create the source.

## Metadata Columns

When you create a source, you can add these Dataddo metadata columns to the extracted data:

- **dataddo_hash** - a fingerprint built from each record's key fields. It works as a natural key, so it is ideal for upserts (updating existing rows in your destination instead of creating duplicates).
- **dataddo_extraction_timestamp** - the date and time the row was extracted. Use it to track how records change over time, for example to build slowly changing dimensions.

## How to Create a Salesforce Pardot Data Source

Creating a data source takes you through six steps, shown in the progress bar at the top of the wizard. Each step is explained below.

**1. Pick the connector**

On the **Sources** page, click **Create Source**, then select the connector from the catalog. Use the search bar or the category tabs if you do not see it right away. You can rename the source at any time using the pencil icon next to its name.

**2. Select the dataset**

A dataset defines the shape of your data: which fields you get and how they relate. Select the dataset you want; you can still fine-tune the exact fields later.

- Each dataset has a short description of what it contains. Use the search box to find a dataset, attribute, or metric by name.
- The panel on the right previews the selected dataset's fields. For each field you can see its **data type**, whether it holds **sensitive** data (personal fields such as name or email are flagged), and which **other datasets it links to**, so you can see how the datasets relate.

**3. Choose the account**

This step selects what Dataddo reads from.

- **Authorizer:** Select an account you have already authorized from the drop-down. If you have none yet, choose **Add new account** and follow the prompts. If no authorizer is selected, Dataddo asks you to authorize before you continue.
- **What to extract from:** Select the exact entity you want to pull data from. Depending on the service this may be labelled an account, property, profile, workspace, or similar, sometimes with a sub-level to choose as well.
- **Multiple accounts:** To pull the same data from every entity you can access, turn on **Automatically collect data from all ...**. This is multi-account extraction. Leave it off to choose them by hand.

**4. Refine the attributes and metrics**

The dataset already sets the structure. Here you fine-tune it: tick or untick the specific attributes and metrics you want to keep, and use the search box to find a field quickly. Click **Test on Sample Data** at any point to preview the result before you continue.

**5. Add metadata columns (optional)**

Two optional columns help your destination handle the data.

- **Dataddo Hash (Include Row Hash):** a fingerprint built from the columns you pick. It works as a natural key, so your destination can deduplicate rows and run upserts instead of creating duplicates. Turn it on, then select the columns that uniquely identify a row.
- **Dataddo Extraction Timestamp:** the time each row was extracted. Use it to watermark the data, for example to build slowly changing dimensions or to track when a value last changed.

**6. Set the schedule**

Decide how often Dataddo runs the extraction.

- **Frequency:** how often the pipeline runs, for example daily. Click **Show advanced settings** to also set the exact hour and minute (UTC).
- **Date range:** the relative window each run extracts, for example "Yesterday". The window moves forward on every run.
- **Historical data:** a new source starts from the current window. To load older data, run a [full data re-sync](https://docs.dataddo.com/docs/data-backfilling) after the source is created.
- **Allow Empty Data Extractions:** when on, a run that returns no data records zero rows instead of failing. Turn it on if the source can legitimately have periods with no data.

Click **Save**. Your data source is ready.

## Related Articles

Now that you have successfully created a ***data source***, see how you can connect your data to a dashboarding app or a data storage.

**Sending Data to Dashboarding Apps**

- [Simple Data Integration to Dashboards](https://docs.dataddo.com/docs/simple-data-integration-to-dashboards)
- [Data Backfilling to Dashboarding Apps](https://docs.dataddo.com/docs/data-backfilling-to-dashboarding-apps)

**Sending Data to Data Storages**

- [Batch Ingestion to Data Warehouses](https://docs.dataddo.com/docs/ingestion-to-data-warehouses)
- [Data Backfilling to Storages](https://docs.dataddo.com/docs/data-backfilling-to-storages)

**Other Resources**

- [Troubleshooting](https://docs.dataddo.com/docs/troubleshooting)
- [Extraction Logs](https://docs.dataddo.com/docs/extraction-logs)
- [Data Duplication](https://docs.dataddo.com/docs/data-duplication)