Fetch Customers with Mews API on New Interview Response from Async Interview API

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New Interview Response from the Async Interview API

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Fetch Customers with the Mews API

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Getting Started#

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

Select this integration
Configure the New Interview Response trigger
1. Connect your Async Interview account
2. Configure timer
Configure the Fetch Customers action
1. Connect your Mews account
2. Optional- Configure Created Start (UTC)
3. Optional- Configure Created End (UTC)
4. Optional- Configure Updated Start (UTC)
5. Optional- Configure Updated End (UTC)
6. Optional- Configure Deleted Start (UTC)
7. Optional- Configure Deleted End (UTC)
8. Optional- Select one or more Activity States
9. Optional- Select one or more Customer IDs
10. Optional- Select one or more Company IDs
11. Optional- Select one or more Emails
12. Optional- Configure First Names
13. Optional- Configure Last Names
14. Optional- Configure Extent - Customers
15. Optional- Configure Extent - Addresses
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 Interview Response on Async Interview

Description:Emit new event when a new interview response is received.

Version:0.0.1

Key:async_interview-new-interview-response

View on GitHub

Async Interview Overview#

The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import asyncInterview from "../../async_interview.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "async_interview-new-interview-response",
  name: "New Interview Response",
  description: "Emit new event when a new interview response is received.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    asyncInterview,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastId() {
      return this.db.get("lastId") || 0;
    },
    _setLastId(lastId) {
      this.db.set("lastId", lastId);
    },
    generateMeta(event) {
      return {
        id: event.id,
        summary: `New interview response with ID ${event.id}`,
        ts: Date.parse(event.datetime),
      };
    },
    async startEvent(maxResults = 0) {
      const lastId = this._getLastId();

      let data = await this.asyncInterview.listInterviewResponses();

      data = data.filter((item) => item.id > lastId).reverse();

      if (maxResults && (data.length > maxResults)) data.length = maxResults;
      if (data.length) this._setLastId(data[0].id);

      for (const item of data.reverse()) {
        this.$emit(item, this.generateMeta(item));
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
  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
Async Interview	`asyncInterview`	`app`	This component uses the Async Interview app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

About Async Interview#

Async Interview is the world’s most advanced video interviewing platform, offering pre-recorded interviews customized to meet any recruitment scenario.

Action#

Fetch Customers on Mews

Description:Retrieve customers using Mews Connector API. [See the documentation](https://mews-systems.gitbook.io/connector-api/operations/customers#get-all-customers)

Version:0.0.2

Key:mews-fetch-customers

View on GitHub

Mews Overview#

The Mews API is a gateway for developers to interact with the Mews hospitality platform, allowing for innovative connections and automations between hotel management systems and other software tools. By using Pipedream, you can create custom workflows that automate repetitive tasks, integrate with numerous third-party services, and manipulate data to suit specific needs within the hospitality industry. The combination of Mews' API and Pipedream's serverless execution model paves the way for enhanced guest experiences, optimized operations, and real-time data handling.

Action Code#

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

export default {
  name: "Fetch Customers",
  description: "Retrieve customers using Mews Connector API. [See the documentation](https://mews-systems.gitbook.io/connector-api/operations/customers#get-all-customers)",
  key: "mews-fetch-customers",
  version: "0.0.2",
  type: "action",
  props: {
    app,
    createdStartUtc: {
      propDefinition: [
        app,
        "createdStartUtc",
      ],
    },
    createdEndUtc: {
      propDefinition: [
        app,
        "createdEndUtc",
      ],
    },
    updatedStartUtc: {
      propDefinition: [
        app,
        "updatedStartUtc",
      ],
    },
    updatedEndUtc: {
      propDefinition: [
        app,
        "updatedEndUtc",
      ],
    },
    deletedStartUtc: {
      propDefinition: [
        app,
        "deletedStartUtc",
      ],
    },
    deletedEndUtc: {
      propDefinition: [
        app,
        "deletedEndUtc",
      ],
    },
    activityStates: {
      type: "string[]",
      label: "Activity States",
      description: "Whether to return only active, only deleted or both records.",
      optional: true,
      options: [
        "Active",
        "Deleted",
      ],
    },
    customerIds: {
      type: "string[]",
      label: "Customer IDs",
      description: "Unique identifiers of Customers. Required if no other filter is provided. Max 1000 items.",
      optional: true,
      propDefinition: [
        app,
        "customerId",
      ],
    },
    companyIds: {
      type: "string[]",
      label: "Company IDs",
      description: "Unique identifier of the Company the customer is associated with. Max 1 item.",
      optional: true,
      propDefinition: [
        app,
        "companyId",
      ],
    },
    emails: {
      type: "string[]",
      label: "Emails",
      description: "Emails of the Customers. Max 1000 items.",
      optional: true,
      propDefinition: [
        app,
        "customerId",
        () => ({
          mapper: (customer) => ({
            label: `${customer.FirstName} ${customer.LastName}`,
            value: customer.Email,
          }),
        }),
      ],
    },
    firstNames: {
      type: "string[]",
      label: "First Names",
      description: "First names of the Customers. Max 1000 items.",
      optional: true,
    },
    lastNames: {
      type: "string[]",
      label: "Last Names",
      description: "Last names of the Customers. Max 1000 items.",
      optional: true,
    },
    extentCustomers: {
      type: "boolean",
      label: "Extent - Customers",
      description: "Whether to include customer data in the response.",
      optional: true,
      default: true,
    },
    extentAddresses: {
      type: "boolean",
      label: "Extent - Addresses",
      description: "Whether to include address data in the response.",
      optional: true,
      default: false,
    },
  },
  async run({ $ }) {
    const {
      app,
      createdStartUtc,
      createdEndUtc,
      updatedStartUtc,
      updatedEndUtc,
      deletedStartUtc,
      deletedEndUtc,
      activityStates,
      customerIds,
      companyIds,
      emails,
      firstNames,
      lastNames,
      extentCustomers,
      extentAddresses,
    } = this;

    const items = await app.paginate({
      requester: app.customersGetAll,
      requesterArgs: {
        $,
        data: {
          ...(createdStartUtc || createdEndUtc) && {
            CreatedUtc: {
              StartUtc: createdStartUtc,
              EndUtc: createdEndUtc,
            },
          },
          ...(updatedStartUtc || updatedEndUtc) && {
            UpdatedUtc: {
              StartUtc: updatedStartUtc,
              EndUtc: updatedEndUtc,
            },
          },
          ...(deletedStartUtc || deletedEndUtc) && {
            DeletedUtc: {
              StartUtc: deletedStartUtc,
              EndUtc: deletedEndUtc,
            },
          },
          Extent: {
            Customers: extentCustomers,
            Addresses: extentAddresses,
          },
          ActivityStates: activityStates,
          CustomerIds: customerIds,
          CompanyIds: companyIds,
          Emails: emails,
          FirstNames: firstNames,
          LastNames: lastNames,
        },
      },
      resultKey: "Customers",
    });

    $.export("$summary", `Successfully fetched ${items.length} customer${items.length !== 1
      ? "s"
      : ""}`);
    return items;
  },
};

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
Mews	`app`	`app`	This component uses the Mews app.
Created Start (UTC)	`createdStartUtc`	`string`	Start of the interval in which Customer was created. ISO 8601 format. Eg. `2025-01-01T00:00:00Z`
Created End (UTC)	`createdEndUtc`	`string`	End of the interval in which Customer was created. ISO 8601 format. Max 3 months interval. Eg. `2025-01-01T00:00:00Z`
Updated Start (UTC)	`updatedStartUtc`	`string`	Start of the interval in which Customer was updated. ISO 8601 format. Eg. `2025-01-01T00:00:00Z`
Updated End (UTC)	`updatedEndUtc`	`string`	End of the interval in which Customer was updated. ISO 8601 format. Max 3 months interval. Eg. `2025-01-01T00:00:00Z`
Deleted Start (UTC)	`deletedStartUtc`	`string`	Start of the interval in which Customer was deleted. ISO 8601 format. ActivityStates value 'Deleted' should be provided with this filter. Eg. `2025-01-01T00:00:00Z`
Deleted End (UTC)	`deletedEndUtc`	`string`	End of the interval in which Customer was deleted. ISO 8601 format. Max 3 months interval. Eg. `2025-01-01T00:00:00Z`
Activity States	`activityStates`	`string[]`	Select a value from the drop down menu:`ActiveDeleted`
Customer IDs	`customerIds`	`string[]`	Select a value from the drop down menu.
Company IDs	`companyIds`	`string[]`	Select a value from the drop down menu.
Emails	`emails`	`string[]`	Select a value from the drop down menu.
First Names	`firstNames`	`string[]`	First names of the Customers. Max 1000 items.
Last Names	`lastNames`	`string[]`	Last names of the Customers. Max 1000 items.
Extent - Customers	`extentCustomers`	`boolean`	Whether to include customer data in the response.
Extent - Addresses	`extentAddresses`	`boolean`	Whether to include address data in the response.

Fetch Customers with Mews API on New Interview Response from Async Interview API

Pipedream makes it easy to connect APIs for Mews, Async Interview and 2,800+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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