What do you want to automate
with People Data Labs and Python?
Prompt, edit and deploy AI agents that connect to People Data Labs, Python and 2,500+ other apps in seconds.
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Popular People Data Labs and Python Actions#
The Company Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique company. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. See the docs here
Find specific segments of people that you need to power your projects and products. See the docs here
Overview of People Data Labs#
The People Data Labs API provides access to a rich database of profiles, offering granular data on individuals such as employment history, education, skills, and more. Leveraging Pipedream's capabilities, you can automate personalized outreach, enrich contact lists, validate professional information, and sync data across platforms in real-time. These automations can power recruitment, sales, and networking efforts by providing up-to-date and comprehensive data points.
Connect People Data Labs#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
people_data_labs: {
type: "app",
app: "people_data_labs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.peopledatalabs.com/v5/person/enrich`,
params: {
api_key: `${this.people_data_labs.$auth.api_key}`,
email: `sean@peopledatalabs.com`,
},
})
},
})
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