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

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New Collection from the MongoDB API

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Enrich a company 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 company action
1. Connect your People Data Labs account
2. Optional- Configure Name
3. Optional- Configure Profile
4. Optional- Configure Ticker
5. Optional- Configure Website
6. Optional- Configure Location
7. Optional- Configure Locality
8. Optional- Configure Region
9. Optional- Configure Country
10. Optional- Configure Street Address
11. Optional- Configure Postal Code
12. Optional- Configure Data Include
13. Optional- Configure Pretty
14. 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 company on People Data Labs

Description:The Company Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique company. [See the docs here](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api)

Version:0.0.4

Key:people_data_labs-enrich-company

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-company",
  name: "Enrich a company",
  description: "The Company Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique company. [See the docs here](https://docs.peopledatalabs.com/docs/reference-company-enrichment-api)",
  version: "0.0.4",
  type: "action",
  props: {
    app,
    name: {
      label: "Name",
      type: "string",
      description: "The company's name.",
      optional: true,
    },
    profile: {
      label: "Profile",
      type: "string",
      description: "The company's social profile.",
      optional: true,
    },
    ticker: {
      label: "Ticker",
      type: "string",
      description: "The company's stock ticker, if publicly traded.",
      optional: true,
    },
    website: {
      label: "Website",
      type: "string",
      description: "The company's website.",
      optional: true,
    },
    location: {
      label: "Location",
      type: "string",
      description: "The complete or partial company location. You can input multiple location values.",
      optional: true,
    },
    locality: {
      label: "Locality",
      type: "string",
      description: "The company's locality. You can only input one locality.",
      optional: true,
    },
    region: {
      label: "Region",
      type: "string",
      description: "The company's region. You can only input one region.",
      optional: true,
    },
    country: {
      label: "Country",
      type: "string",
      description: "The company's country. You can only input one country.",
      optional: true,
    },
    streetAddress: {
      label: "Street Address",
      type: "string",
      description: "The company's street address. You can only input one street address.",
      optional: true,
    },
    postalCode: {
      label: "Postal Code",
      type: "string",
      description: "The company's postal code. You can only input one postal code.",
      optional: true,
    },
    dataInclude: {
      label: "Data Include",
      type: "string",
      description: "A comma-separated string of fields that you want the response to include. For example, `full_name,emails.address`. Begin the string with a - if you want to exclude the specified fields. If you want to exclude all data from being returned, use `data_include=\"\"`",
      optional: true,
    },
    pretty: {
      propDefinition: [
        app,
        "pretty",
      ],
    },
    minLikelihood: {
      propDefinition: [
        app,
        "minLikelihood",
      ],
    },
  },
  async run ({ $ }) {
    const params = {
      name: this.name,
      profile: this.profile,
      ticker: this.ticker,
      website: this.website,
      location: this.location,
      locality: this.locality,
      region: this.region,
      country: this.country,
      street_address: this.streetAddress,
      postal_code: this.postalCode,
      data_include: this.dataInclude,
      pretty: this.pretty,
      min_likelihood: this.minLikelihood,
    };

    const res = await this.app.enrichCompany({
      $,
      params,
    });
    if (!res) {
      $.export("$summary", "No results found");
    } else {
      $.export("$summary", "Successfully enriched a company");
    }
    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 company's name.
Profile	`profile`	`string`	The company's social profile.
Ticker	`ticker`	`string`	The company's stock ticker, if publicly traded.
Website	`website`	`string`	The company's website.
Location	`location`	`string`	The complete or partial company location. You can input multiple location values.
Locality	`locality`	`string`	The company's locality. You can only input one locality.
Region	`region`	`string`	The company's region. You can only input one region.
Country	`country`	`string`	The company's country. You can only input one country.
Street Address	`streetAddress`	`string`	The company's street address. You can only input one street address.
Postal Code	`postalCode`	`string`	The company's postal code. You can only input one postal code.
Data Include	`dataInclude`	`string`	A comma-separated string of fields that you want the response to include. For example, `full_name,emails.address`. Begin the string with a - if you want to exclude the specified fields. If you want to exclude all data from being returned, use `data_include=""`
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.