Enrich a person with People Data Labs API on New Collection from MongoDB API

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Trigger workflow on

New Collection from the MongoDB API

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Enrich a person with the People Data Labs API

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Getting Started#

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

Select this integration
Configure the New Collection trigger
1. Connect your MongoDB account
2. Configure Polling Interval
3. Select a Database
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
Deploy the workflow
Send a test event to validate your setup
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#

New Collection on MongoDB

Description:Emit new an event when a new collection is added to a database

Version:0.0.7

Key:mongodb-new-collection

View on GitHub

MongoDB Overview#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Trigger Code#

import common from "../common/base.mjs";

export default {
  ...common,
  key: "mongodb-new-collection",
  name: "New Collection",
  description: "Emit new an event when a new collection is added to a database",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    database: {
      propDefinition: [
        common.props.mongodb,
        "database",
      ],
    },
  },
  methods: {
    ...common.methods,
    _getCollectionIds() {
      return this.db.get("collectionIds");
    },
    _setCollectionIds(collectionIds) {
      this.db.set("collectionIds", collectionIds);
    },
    isRelevant(uuid, collectionIds) {
      return !collectionIds.includes(uuid);
    },
    async processEvent(client, ts) {
      const collectionIds = this._getCollectionIds() || [];
      const collections = await this.mongodb.listCollections(client, this.database);
      for (const collection of collections) {
        const uuid = JSON.stringify(collection.info.uuid);
        if (!this.isRelevant(uuid, collectionIds)) {
          continue;
        }
        collectionIds.push(uuid);
        this.emitEvent(collection, ts);
      }
      this._setCollectionIds(collectionIds);
    },
    generateMeta({
      info, name,
    }, ts) {
      return {
        id: info.uuid,
        summary: name,
        ts,
      };
    },
  },
};

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.

Label	Prop	Type	Description
MongoDB	`mongodb`	`app`	This component uses the MongoDB app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Database	`database`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

About MongoDB#

MongoDB is an open source NoSQL database management program.

Action#

Enrich a person on People Data Labs

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

View on GitHub

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.

Label	Prop	Type	Description
People Data Labs	`app`	`app`	This component uses the People Data Labs app.
Name	`name`	`string`	The person's full name, at least first and last.
First name	`firstName`	`string`	The person's first name.
Last name	`lastName`	`string`	The person's last name.
Middle name	`middleName`	`string`	The person's middle name.
Location	`location`	`string`	The location in which a person lives. Can be anything from a street address to a country name.
Street address	`streetAddress`	`string`	A street address in which the person lives.
Locality	`locality`	`string`	A locality in which the person lives.
Region	`region`	`string`	A state or region in which the person lives.
Country	`country`	`string`	A country in which the person lives.
Postal code	`postalCode`	`string`	The postal code in which the person lives, must be used with either a country or a region.
Company	`company`	`string`	A name, website, or social url of a company where the person has worked.
School	`school`	`string`	A name, website, or social url of a university or college the person has attended.
Phone	`phone`	`string`	A phone number the person has used.
Email	`email`	`string`	An email the person has used.
Email hash	`emailHash`	`string`	A sha256 email hash.
Profile	`profile`	`string`	A social profile the person has used. List of available social profiles.
Linkedin ID	`lid`	`integer`	A LinkedIn numerical ID.
Birth date	`birthDate`	`string`	The person's birth date. Either the year, or a full birth date.
Required	`required`	`string`	Parameter specifying the fields and data points a response must have to return a 200. See docs.
Pretty	`pretty`	`boolean`	Whether the output should have human-readable indentation.
Min Likelihood	`minLikelihood`	`integer`	The minimum likelihood score a response must have to return a 200.