← Shopify Developer App + People Data Labs integrations

Enrich a person with People Data Labs API on New product added to custom collection from Shopify Developer App API

Pipedream makes it easy to connect APIs for People Data Labs, Shopify Developer App and 2,000+ other apps remarkably fast.

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New product added to custom collection from the Shopify Developer App API
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Enrich a person with the People Data Labs API
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Developers Pipedream

Getting Started

This integration creates a workflow with a Shopify Developer App trigger and People Data Labs action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New product added to custom collection trigger
    1. Connect your Shopify Developer App account
    2. Configure timer
  3. Configure the Enrich a person action
    1. Connect your People Data Labs account
    2. Optional- Configure Name
    3. Optional- Configure First name
    4. Optional- Configure Last name
    5. Optional- Configure Middle name
    6. Optional- Configure Location
    7. Optional- Configure Street address
    8. Optional- Configure Locality
    9. Optional- Configure Region
    10. Optional- Configure Country
    11. Optional- Configure Postal code
    12. Optional- Configure Company
    13. Optional- Configure School
    14. Optional- Configure Phone
    15. Optional- Configure Email
    16. Optional- Configure Email hash
    17. Optional- Configure Profile
    18. Optional- Configure Linkedin ID
    19. Optional- Configure Birth date
    20. Optional- Configure Required
    21. Optional- Configure Pretty
    22. Optional- Configure Min Likelihood
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event each time a product is added to a custom collection.
Version:0.0.3
Key:shopify_developer_app-product-added-to-custom-collection

Shopify Developer App Overview

The Shopify Admin REST & GraphQL API unleashes a myriad of possibilities to automate and enhance online store operations. It provides programmatic access to Shopify functionalities, allowing users to manage products, customers, orders, and more. Leveraging the Shopify Admin API within Pipedream, developers can create custom workflows that automate repetitive tasks, sync data across platforms, and respond dynamically to events in Shopify.

This integration can be used as a custom app on your store, or for automating actions on behalf of merchants through your Shopify app.

Looking for integrating into the Shopify Partner API for your apps, themes or referrals? Check out our Shopify Partner API integration.

Trigger Code

import shopify from "../../shopify_developer_app.app.mjs";
import common from "../../../shopify/sources/product-added-to-custom-collection/common.mjs";

export default {
  ...common,
  key: "shopify_developer_app-product-added-to-custom-collection",
  name: "New product added to custom collection",
  description: "Emit new event each time a product is added to a custom collection.",
  version: "0.0.3",
  type: "source",
  dedupe: "unique",
  props: {
    shopify,
    ...common.props,
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
Shopify Developer AppshopifyappThis component uses the Shopify Developer App app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

Shopify Developer App uses API keys for authentication. When you connect your Shopify Developer App account, Pipedream securely stores the keys so you can easily authenticate to Shopify Developer App APIs in both code and no-code steps.

Find your Shop ID

Log in to your Shopify admin account. In your browser's address bar, you should see a URL like this:

Get your Access Token

Next, create a custom app in Shopify to obtain your Admin API access token. See our detailed instructions here.

Enter your Admin API access token below, and save it in a secure location (we recommend using a password manager such as 1Password)

About Shopify Developer App

Shopify is a user-friendly e-commerce platform that helps small businesses build an online store and sell online through one streamlined dashboard.

Action

Description:The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-enrichment-api)
Version:0.0.4
Key:people_data_labs-enrich-person

People Data Labs Overview

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.

Action Code

import app from "../../people_data_labs.app.mjs";

export default {
  key: "people_data_labs-enrich-person",
  name: "Enrich a person",
  description: "The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-enrichment-api)",
  version: "0.0.4",
  type: "action",
  props: {
    app,
    name: {
      label: "Name",
      type: "string",
      description: "The person's full name, at least first and last.",
      optional: true,
    },
    firstName: {
      label: "First name",
      type: "string",
      description: "The person's first name.",
      optional: true,
    },
    lastName: {
      label: "Last name",
      type: "string",
      description: "The person's last name.",
      optional: true,
    },
    middleName: {
      label: "Middle name",
      type: "string",
      description: "The person's middle name.",
      optional: true,
    },
    location: {
      label: "Location",
      type: "string",
      description: "The location in which a person lives. Can be anything from a street address to a country name.",
      optional: true,
    },
    streetAddress: {
      label: "Street address",
      type: "string",
      description: "A street address in which the person lives.",
      optional: true,
    },
    locality: {
      label: "Locality",
      type: "string",
      description: "A locality in which the person lives.",
      optional: true,
    },
    region: {
      label: "Region",
      type: "string",
      description: "A state or region in which the person lives.",
      optional: true,
    },
    country: {
      label: "Country",
      type: "string",
      description: "A country in which the person lives.",
      optional: true,
    },
    postalCode: {
      label: "Postal code",
      type: "string",
      description: "The postal code in which the person lives, must be used with either a country or a region.",
      optional: true,
    },
    company: {
      label: "Company",
      type: "string",
      description: "A name, website, or social url of a company where the person has worked.",
      optional: true,
    },
    school: {
      label: "School",
      type: "string",
      description: "A name, website, or social url of a university or college the person has attended.",
      optional: true,
    },
    phone: {
      label: "Phone",
      type: "string",
      description: "A phone number the person has used.",
      optional: true,
    },
    email: {
      label: "Email",
      type: "string",
      description: "An email the person has used.",
      optional: true,
    },
    emailHash: {
      label: "Email hash",
      type: "string",
      description: "A sha256 email hash.",
      optional: true,
    },
    profile: {
      label: "Profile",
      type: "string",
      description: "A social profile the person has used. [List of available social profiles](https://docs.peopledatalabs.com/docs/social-networks).",
      optional: true,
    },
    lid: {
      label: "Linkedin ID",
      type: "integer",
      description: "A LinkedIn numerical ID.",
      optional: true,
    },
    birthDate: {
      label: "Birth date",
      type: "string",
      description: "The person's birth date. Either the year, or a full birth date.",
      optional: true,
    },
    required: {
      label: "Required",
      type: "string",
      description: "Parameter specifying the fields and data points a response must have to return a 200. [See docs](https://docs.peopledatalabs.com/docs/required-parameter).",
      optional: true,
    },
    pretty: {
      propDefinition: [
        app,
        "pretty",
      ],
    },
    minLikelihood: {
      propDefinition: [
        app,
        "minLikelihood",
      ],
    },
  },
  async run({ $ }) {
    const params = {
      name: this.name,
      first_name: this.firstName,
      last_name: this.lastName,
      middle_name: this.middleName,
      location: this.location,
      street_address: this.streetAddress,
      locality: this.locality,
      region: this.region,
      country: this.country,
      postal_code: this.postalCode,
      company: this.company,
      school: this.school,
      phone: this.phone,
      email: this.email,
      email_hash: this.emailHash,
      profile: this.profile,
      lid: this.lid,
      birth_date: this.birthDate,
      min_likelihood: this.minLikelihood || 0,
      required: this.required,
      pretty: this.pretty || true,
    };

    const res = await this.app.enrichPerson({
      $,
      params,
    });
    if (!res) {
      $.export("$summary", "No results found");
    } else {
      $.export("$summary", "Successfully enriched a person");
    }
    return res;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
People Data LabsappappThis component uses the People Data Labs app.
Namenamestring

The person's full name, at least first and last.

First namefirstNamestring

The person's first name.

Last namelastNamestring

The person's last name.

Middle namemiddleNamestring

The person's middle name.

Locationlocationstring

The location in which a person lives. Can be anything from a street address to a country name.

Street addressstreetAddressstring

A street address in which the person lives.

Localitylocalitystring

A locality in which the person lives.

Regionregionstring

A state or region in which the person lives.

Countrycountrystring

A country in which the person lives.

Postal codepostalCodestring

The postal code in which the person lives, must be used with either a country or a region.

Companycompanystring

A name, website, or social url of a company where the person has worked.

Schoolschoolstring

A name, website, or social url of a university or college the person has attended.

Phonephonestring

A phone number the person has used.

Emailemailstring

An email the person has used.

Email hashemailHashstring

A sha256 email hash.

Profileprofilestring

A social profile the person has used. List of available social profiles.

Linkedin IDlidinteger

A LinkedIn numerical ID.

Birth datebirthDatestring

The person's birth date. Either the year, or a full birth date.

Requiredrequiredstring

Parameter specifying the fields and data points a response must have to return a 200. See docs.

Prettyprettyboolean

Whether the output should have human-readable indentation.

Min LikelihoodminLikelihoodinteger

The minimum likelihood score a response must have to return a 200.

Action Authentication

People Data Labs uses API keys for authentication. When you connect your People Data Labs account, Pipedream securely stores the keys so you can easily authenticate to People Data Labs APIs in both code and no-code steps.

Signup for an API key. Upon sign in, API Key, along with a few example API calls appear in the dashboard.

About People Data Labs

The source of the truth for person data

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