What do you want to automate
with Survicate and Python?
Prompt, edit and deploy AI agents that connect to Survicate, Python and 3,000+ other apps in seconds.
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Popular Survicate and Python Actions#
Deletes personal data associated with an email address for GDPR compliance. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieves counts of personal data records for GDPR compliance. See the documentation
Retrieves detailed information about a specific response. See the documentation
Retrieves detailed information about a specific survey. See the documentation
Overview of Survicate#
The Survicate API empowers you to seamlessly integrate survey data into your systems, automate actions based on feedback, and sync responses across your tech stack. With Pipedream, you can create serverless workflows that leverage this API to respond in real-time to survey submissions, aggregate data for analysis, or trigger personalized marketing campaigns. Pipedream's no-code platform simplifies the process of connecting Survicate with other apps like Slack, Google Sheets, or CRMs such as Salesforce, to streamline data flows and enhance customer insights.
Connect Survicate#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
survicate: {
type: "app",
app: "survicate",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://data-api.survicate.com/v1/surveys`,
headers: {
"Authorization": `Basic ${this.survicate.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies