Datagma
Enrich your incomplete B2B data with more than 50 exclusive attributes about your prospects and target companies.
Integrate the Datagma API with the Python API
Setup the Datagma API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Datagma and Python remarkably fast. Free for developers.
Popular Datagma and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Datagma#
The Datagma API allows for the extraction and analysis of valuable data from emails. By using this API, you can automate the process of parsing emails to retrieve information like signatures, contact details, and other pertinent data. In Pipedream, this functionality becomes a powerful tool for creating workflows that can help to streamline business processes, enhance customer relationship management, or fuel data enrichment strategies.
Connect Datagma#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datagma: {
type: "app",
app: "datagma",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://gateway.datagma.net/api/ingress/v1/mine`,
params: {
apiId: `${this.datagma.$auth.api_key}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}