Integrate the People Data Labs API with the Schedule API

People Data Labs API provides reliable access to massive and up-to-date
worldwide datasets, enabling businesses to get the data they need to make more
informed decisions. With People Data Labs' easy-to-use API, you can explore and
access a variety of datasets to build innovative solutions. Here are a few
examples of what you can build using the People Data Labs API:

Build comprehensive people profiles using data from a variety of sources,
including public records, job history, digital identities, and more.
Create dynamic user segmentation tools to better target and engage with
customers.
Provide sophisticated background checks for due diligence and fraud
detection.
Create predictive models for developing valuable insights on consumer
behavior.
Generate powerful analytics by blending different datasets to uncover
patterns and trends.
Create decision-making tools to improve recruitment and onboarding processes.
Develop powerful lead generation & retargeting tools to drive more sales.
Develop apps that automatically surface the most relevant personal
information for tasks.

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 Schedule#

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

Automated data retrieval from a third-party service, like pulling stats from
your Salesforce account on a set schedule.
Uploading new data sets to a database with a predetermined interval.
Automatic emails to customers or leads at a certain time of the day.
Automating data analysis based on a set schedule.
Automatically optimizing social media postings according to a specified
timeline.
Updating webpages at a certain interval with newly available content.
Re-running reports on a periodic basis.
Refreshing a cache of data at a given frequency.