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PandaDoc is a sales platform, which allows you to create, manage and track sales proposals and contracts. It provides a user-friendly interface to easily create surveys and distribute them through multiple channels such as Slack, emails, and more. PandaDoc is easy to integrate with other software. It offers hundreds of customizable templates and electronic signatures for you to design and create your documents with ease.
An active PandaDoc account from which data is to be ingested exists.
The API key is available to authenticate Hevo on your PandaDoc account.
You are logged in as an Admin user to obtain the API key. Else, you can obtain the access token from your administrator. Read User Types to know about the different types of user accounts and their related permissions.
Obtaining the API Key
You require an API key to authenticate Hevo on your PandaDoc account. The API key does not expire and can be reused for all your Pipelines.
Note: You must log in as an Admin user to perform these steps.
Perform the following steps to create the API key:
Log in to your PandaDoc account.
In the Developer dashboard page, select the Configuration tab.
In the API keys section, hover over the Sandbox key field, and click Copy to obtain the API key. Use this key while configuring your Hevo Pipeline.
Configuring PandaDoc as a Source
Perform the following steps to configure PandaDoc as the Source in your Pipeline:
Click PIPELINES in the Navigation Bar.
Click + CREATE in the Pipelines List View.
In the Select Source Type page, select PandaDoc.
In the Configure your PandaDoc Source page, specify the following:
Pipeline Name: A unique name for the Pipeline, not exceeding 255 characters.
API key: The API key that you created in your PandaDoc account.
Click TEST & CONTINUE.
Proceed to configuring the data ingestion and setting up the Destination.
|Default Ingestion Frequency
|Minimum Ingestion Frequency
|Maximum Ingestion Frequency
|Custom Frequency Range (Hrs)
Note: You must set the custom frequency in hours as an integer value. For example, 1, 2, 3 but not 1.5 or 1.75.
Historical Data: In the first run of the Pipeline, Hevo ingests all the existing data for the selected objects from your PandaDoc account and loads it to the Destination.
Incremental Data: Once the historical load is complete, all new and updated records for the Documents object are synchronized with your Destination as per the Ingestion frequency.
Schema and Primary Keys
Hevo uses the following schema to upload the records in the Destination database:
The following is the list of tables (objects) that are created at the Destination when you run the Pipeline:
|Contains the list of people within your workspace with whom you have communicated.
|Contains details of all the people within your workspace with whom you have communicated.
|Content Library Items
|Contains details of the frequently used document content that can be stored and reused in the future.
|Content Library Item Details
|Contains details of words or values that are used frequently in a document, and which can be stored and reused in the future.
|Contains details of all the statuses associated with documents.
|Contains details of all the information about a document, such as, name, completion status and more.
|Contains details of all the folders in which your documents are stored.
|Contains details of all the documents which allows you to collect information about your website visitors, such as their name and email address. For example, a subscription form, in which users may provide their name and email address to sign up for your newsletter.
|Contains details of all the users who are given access to workspaces, projects, and tasks in your PandaDoc account.
|Contains details about all the Members in your PandaDoc account.
|Contains details of all the pre-defined document layouts.
|Contains details of all information about the template, such as, name, IDs, tags and more.
|Contains the list of all the folders in which your templates are stored.
Pagination: Each API response for each a PandaDoc object fetches one page, with up to 100 records per page.
Rate Limit: PandaDoc imposes a limit of 2000 API calls per minute. If the limit is exceeded, Hevo defers the ingestion till the limits reset.
Hevo currently does not support deletes. Therefore, any data deleted in the Source may continue to exist in the Destination.
Hevo does not provide you with the option to select the duration for loading historical data. All the historical data in your PandaDoc account is loaded when the Pipeline runs for the first time.
Refer to the following table for the list of key updates made to this page:
|Description of Change