Enrich a company with People Data Labs API on New Submission from Typeform API

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New Submission from the Typeform 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 Typeform 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 Submission trigger
1. Connect your Typeform account
2. Select a Form
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 Submission on Typeform

Description:Emit new submission

Version:0.0.8

Key:typeform-new-submission

View on GitHub

Typeform Overview#

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Trigger Code#

import { createHmac } from "crypto";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";
import common from "../common/common.mjs";
import constants from "../../constants.mjs";
import utils from "../common/utils.mjs";

const { typeform } = common.props;
const { parseIsoDate } = utils;

export default {
  ...common,
  key: "typeform-new-submission",
  name: "New Submission",
  version: "0.0.8",
  type: "source",
  description: "Emit new submission",
  props: {
    ...common.props,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
    formId: {
      propDefinition: [
        typeform,
        "formId",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateSecret() {
      return "" + Math.random();
    },
  },
  hooks: {
    ...common.hooks,
    async activate() {
      const secret = this.generateSecret();
      this._setSecret(secret);

      let tag = this._getTag();
      if (!tag) {
        tag = uuid();
        this._setTag(tag);
      }

      return await this.typeform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        tag,
        secret,
      });
    },
    async deactivate() {
      const tag = this._getTag();

      return await this.typeform.deleteHook({
        formId: this.formId,
        tag,
      });
    },
  },
  async run(event) {
    const {
      body,
      headers,
    } = event;

    const { [constants.TYPEFORM_SIGNATURE]: typeformSignature } = headers;

    if (typeformSignature) {
      const secret = this._getSecret();

      const hmac =
        createHmac(constants.ALGORITHM, secret)
          .update(body)
          .digest(constants.ENCODING);

      const signature = `${constants.ALGORITHM}=${hmac}`;

      if (typeformSignature !== signature) {
        throw new Error("signature mismatch");
      }
    }

    let formResponseString = "";
    const data = Object.assign({}, body.form_response);
    data.form_response_parsed = {};

    for (let i = 0; i < body.form_response.answers.length; i++) {
      const field = body.form_response.definition.fields[i];
      const answer = body.form_response.answers[i];

      let parsedAnswer;
      let value = answer[answer.type];

      if (value.label) {
        parsedAnswer = value.label;

      } else if (value.labels) {
        parsedAnswer = value.labels.join();

      } else if (value.choice) {
        parsedAnswer = value.choice;

      } else if (value.choices) {
        parsedAnswer = value.choices.join();

      } else {
        parsedAnswer = value;
      }

      data.form_response_parsed[field.title] = parsedAnswer;
      formResponseString += `### ${field.title}\n${parsedAnswer}\n`;
    }

    data.form_response_string = formResponseString;
    data.raw_webhook_event = body;

    if (data.landed_at) {
      data.landed_at = parseIsoDate(data.landed_at);
    }

    if (data.submitted_at) {
      data.submitted_at = parseIsoDate(data.submitted_at);
    }

    data.form_title = body.form_response.definition.title;
    delete data.answers;
    delete data.definition;

    this.$emit(data, {
      summary: JSON.stringify(data),
      id: data.token,
    });

    this.http.respond({
      status: 200,
    });
  },
  sampleEmit,
};

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
Typeform	`typeform`	`app`	This component uses the Typeform app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

Typeform uses OAuth authentication. When you connect your Typeform account, Pipedream will open a popup window where you can sign into Typeform and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Typeform API.

Pipedream requests the following authorization scopes when you connect your account:

offlineaccounts:readforms:writeforms:readimages:writeimages:readthemes:writethemes:readresponses:readresponses:writewebhooks:readwebhooks:writeworkspaces:readworkspaces:write

About Typeform#

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

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.