Find your payment gateway to happy. Simple payment solutions to save time and fuel growth.
This method can be used to export a summary of specific batch details or currently pending settlement details by card and transaction type. If no optional parameter is provided, the latest batch details will be returned. See docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
This method can be used to export settled transaction details within a specific batch. This method will return one or more transaction records. See docs here
This method can be used to export a set of batch summary details with a provided date range. This method will return one or more batch summary records. See docs here
This method can be used to export a set of credit card transaction details with a provided date range. You can optimize your search by providing optional parameters. See docs here
The PayTrace API offers a robust suite of payment processing tools for developers aiming to build seamless payment integrations. With it, you can automate credit card transactions, manage customer profiles, and generate detailed reports, among other functionalities. Leveraging the PayTrace API on Pipedream allows you to create workflows that interact with other services like CRMs, accounting software, and ecommerce platforms, facilitating tasks like sales automation, financial reconciliation, and data synchronization.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
paytrace: {
type: "app",
app: "paytrace",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.paytrace.com/`,
headers: {
Authorization: `Bearer ${this.paytrace.$auth.oauth_access_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}