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with Thanks.io and Python?
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Popular Thanks.io and Python Actions#
Overview of Thanks.io#
The Thanks.io API lets you automate the sending of personalized postcards and letters. This API can be harnessed to craft tailored outreach campaigns, customer appreciation notes, or event-based mailings. By integrating with Pipedream, you can create intelligent, event-driven workflows that trigger mailings based on user activity, data changes, or milestones achieved in other apps, streamlining the way businesses and developers connect with their audiences physically.
Connect Thanks.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
thanks_io: {
type: "app",
app: "thanks_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.thanks.io/api/v2/ping`,
headers: {
Authorization: `Bearer ${this.thanks_io.$auth.oauth_access_token}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies