Pipedrive connector for Amazon AppFlow
Pipedrive is a Customer Relationship Management (CRM) service that helps companies track and carry out projects. If you’re a Pipedrive user, your account contains data about connections with your customers and within your organization. This can include deals, contacts, demos, proposals, and more. You can use Amazon AppFlow to transfer data from Pipedrive to certain AWS services or other supported applications.
Amazon AppFlow support for Pipedrive
Amazon AppFlow supports Pipedrive as follows.
- Supported as a data source?
Yes. You can use Amazon AppFlow to transfer data from Pipedrive.
- Supported as a data destination?
No. You can't use Amazon AppFlow to transfer data to Pipedrive.
Before you begin
To use Amazon AppFlow to transfer data from Pipedrive to supported destinations, you must meet these requirements:
-
You have an account with Pipedrive that contains the data that you want to transfer. For more information about the Pipedrive data objects that Amazon AppFlow supports, see Supported objects.
-
In your Pipedrive account, you've created an unlisted app in Marketplace Manager. This app provides the credentials that Amazon AppFlow uses to make authenticated calls to your account and securely access your data. For the steps to create an app, see Creating an app
in the Pipedrive Developer Documentation. You've configured your app as follows:
-
You've specified a redirect URL (also referred to as a callback URL) for Amazon AppFlow.
Redirect URLs have the following format:
https://
region
.console.aws.amazon.com/appflow/oauthIn this URL, region is the code for the AWS Region where you use Amazon AppFlow to transfer data from Pipedrive. For example, the code for the US East (N. Virginia) Region is
us-east-1
. For that Region, the URL is the following:https://us-east-1.console.aws.amazon.com/appflow/oauth
For the AWS Regions that Amazon AppFlow supports, and their codes, see Amazon AppFlow endpoints and quotas in the AWS General Reference.
-
You've activated the access scopes that provide access to the data that you want to transfer. For more information about Pipedrive scopes, see Scopes and permission explanations
in the Pipedrive Developer Documentation.
-
From the settings for your app, note the client ID and client secret. When you connect to your Pipedrive account, you provide these values to Amazon AppFlow.
Connecting Amazon AppFlow to your Pipedrive account
To connect Amazon AppFlow to your Pipedrive account, provide details from your Pipedrive project so that Amazon AppFlow can access your data. If you haven't yet configured your Pipedrive project for Amazon AppFlow integration, see Before you begin.
To connect to Pipedrive
Sign in to the AWS Management Console and open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/
. -
In the navigation pane on the left, choose Connections.
-
On the Manage connections page, for Connectors, choose Pipedrive.
-
Choose Create connection.
-
In the Connect to Pipedrive window, enter the following information:
-
Client ID – The client ID of the OAuth 2.0 client ID in your Pipedrive project.
-
Client secret – The client secret of the OAuth 2.0 client ID in your Pipedrive project.
-
Instance URL – The URL of the instance where you want to run the operation, for example, https://awsappflow-domain.pipedrive.com.
-
-
Optionally, under Data encryption, choose Customize encryption settings (advanced) if you want to encrypt your data with a customer managed key in the AWS Key Management Service (AWS KMS).
By default, Amazon AppFlow encrypts your data with a KMS key that AWS creates, uses, and manages for you. Choose this option if you want to encrypt your data with your own KMS key instead.
Amazon AppFlow always encrypts your data during transit and at rest. For more information, see Data protection in Amazon AppFlow.
If you want to use a KMS key from the current AWS account, select this key under Choose an AWS KMS key. If you want to use a KMS key from a different AWS account, enter the Amazon Resource Name (ARN) for that key.
-
For Connection name, enter a name for your connection.
-
Choose Connect.
-
In the window that appears, sign in to your Pipedrive account, and grant access to Amazon AppFlow.
On the Manage connections page, your new connection appears in the Connections table. When you create a flow that uses Pipedrive as the data source, you can select this connection.
Transferring data from Pipedrive with a flow
To transfer data from Pipedrive, create an Amazon AppFlow flow, and choose Pipedrive as the data source. For the steps to create a flow, see Creating flows in Amazon AppFlow.
When you configure the flow, choose the data object that you want to transfer. For the objects that Amazon AppFlow supports for Pipedrive, see Supported objects.
Also, choose the destination where you want to transfer the data object that you selected. For more information about how to configure your destination, see Supported destinations.
Supported destinations
When you create a flow that uses Pipedrive as the data source, you can set the destination to any of the following connectors:
Supported objects
When you create a flow that uses Pipedrive as the data source, you can transfer any of the following data objects to supported destinations:
Object |
Field |
Data type |
Supported filters |
---|---|---|---|
Activities |
|||
Activity Types |
Active |
Boolean |
|
Add Time |
DateTime |
||
Color |
String |
||
Custom Flag |
Boolean |
||
ID |
Long |
||
Icon |
String |
||
Key |
String |
||
Name |
String |
||
Order Number |
Long |
||
Update Time |
DateTime |
||
CallLogs |
Activity Id |
Long |
|
Company Id |
Long |
||
Deal Id |
Integer |
||
Duration |
String |
||
End Time |
DateTime |
||
From Phone Number |
String |
||
Has Recording |
Boolean |
||
ID |
String |
||
Note |
String |
||
Organization Id |
Integer |
||
Outcome |
String |
||
Person Id |
Integer |
||
Start Time |
DateTime |
||
To Phone Number |
String |
||
User Id |
Long |
||
Currencies |
Active Flag |
Boolean |
|
Code |
String |
||
Decimal Points |
Integer |
||
ID |
Integer |
||
Is Custom Flag |
Boolean |
||
Name |
String |
||
Symbol |
String |
||
Deals |
|||
Lead Labels |
Add Time |
DateTime |
|
Color |
String |
||
ID |
Integer |
||
Name |
String |
||
Update Time |
DateTime |
||
Lead Sources |
Name |
String |
|
Leads |
Add Time |
DateTime |
|
CC Email |
String |
||
Creator Id |
Long |
||
Expected Close Date |
String |
||
ID |
String |
||
Is Archived |
Boolean |
||
Label Ids |
String |
||
Next Activity Id |
Long |
||
Organization Id |
Integer |
||
Owner Id |
Long |
||
Person Id |
Long |
||
Source Name |
String |
||
Title |
String |
||
Update Time |
DateTime |
||
Value |
Struct |
||
Visible To |
String |
||
Was Seen |
Boolean |
||
Notes |
|||
Organization |
|||
Permission Sets |
App |
String |
|
Assignment Count |
Integer |
||
Description |
String |
||
ID |
Integer |
||
Name |
String |
||
Type |
String |
||
Persons |
|||
Pipelines |
Active |
Boolean |
|
Add Time |
DateTime |
||
Deal Probability |
Boolean |
||
ID |
Integer |
||
Name |
String |
||
Order Number |
Integer |
||
Selected |
Boolean |
||
URL Title |
String |
||
Update Time |
DateTime |
||
Products |
|||
Roles |
Active Flag |
Boolean |
|
Assignment Count |
Integer |
||
Description |
String |
||
ID |
Integer |
||
Level |
Integer |
||
Name |
String |
||
Parent Role Id |
Integer |
||
Sub Role Count |
Integer |
||
Stages |
Active Flag |
Boolean |
|
Add Time |
DateTime |
||
Deal Probability |
Integer |
||
ID |
Integer |
||
Name |
String |
||
Order Number |
Integer |
||
Pipeline Deal Probability |
Boolean |
||
Pipeline Id |
Integer |
||
Pipeline Name |
String |
||
Rotten Days |
String |
||
Rotten Flag |
Boolean |
||
Update Time |
DateTime |
||
Users |
Access |
List |
|
Active Flag |
Boolean |
||
Created |
DateTime |
||
Default Currency |
String |
||
String |
|||
Has Created Company |
Boolean |
||
ID |
String |
||
Icon URL |
String |
||
Is Admin |
Integer |
||
Is You |
Boolean |
||
Language |
Integer |
||
Last Login |
DateTime |
||
Locate |
String |
||
Modified |
DateTime |
||
Name |
String |
||
Phone |
String |
||
Role Id |
Integer |
||
Signup Flow Variation |
String |
||
Timezone |
String |
||
Timezone Offset |
String |