Create Job with Recruiterflow API on New Currency Fluctuation from Open Exchange Rates API

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New Currency Fluctuation from the Open Exchange Rates API

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Create Job with the Recruiterflow API

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Getting Started#

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

Select this integration
Configure the New Currency Fluctuation trigger
1. Connect your Open Exchange Rates account
2. Configure Polling interval
3. Select a Currency Id
4. Configure Change
Configure the Create Job action
1. Connect your Recruiterflow account
2. Configure Job Title
3. Select a Client Company ID
4. Select a Created By
5. Select a Employment Type ID
6. Configure Job Description
7. Select a Department ID
8. Select one or more Location IDs
9. Optional- Configure Salary Range Start
10. Optional- Configure Salary Range End
11. Optional- Configure Experience Range Start
12. Optional- Configure Experience Range End
13. Optional- Configure Skills
14. Optional- Select one or more Contact IDs
15. Optional- Configure Hiring Team
16. Optional- Configure Custom Fields
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 Currency Fluctuation on Open Exchange Rates

Description:Emit new event when a new significant change in a specified currency rate is detected.

Version:0.0.1

Key:open_exchange_rates-currency-fluctuation

View on GitHub

Open Exchange Rates Overview#

The Open Exchange Rates API provides real-time and historical exchange rates for currencies worldwide, which enables you to retrieve the latest currency data for any purpose like financial reporting, pricing products in multiple currencies, or converting currency for international transactions. In Pipedream, you can tap into this API to create workflows that automate currency-related tasks, enrich data with current exchange rates, and trigger actions based on currency fluctuations.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import app from "../../open_exchange_rates.app.mjs";

export default {
  key: "open_exchange_rates-currency-fluctuation",
  name: "New Currency Fluctuation",
  version: "0.0.1",
  description: "Emit new event when a new significant change in a specified currency rate is detected.",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      label: "Polling interval",
      description: "Pipedream will poll the Open Exchange Rates on this schedule",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    symbol: {
      propDefinition: [
        app,
        "currencyId",
      ],
      description: "The currency symbol you want to check.",
    },
    change: {
      type: "string",
      label: "Change",
      description: "The change you consider significant.",
      default: "0.50",
    },
  },
  methods: {
    _setLastChange(lastChange) {
      this.db.set("lastChange", lastChange);
    },
    _getLastChange() {
      return this.db.get("lastChange") || false;
    },
    async startEvent() {
      const {
        app,
        symbol,
        change,
      } = this;

      const response = await app.getLatestCurrency({
        params: {
          symbol: [
            symbol,
          ],
        },
      });

      const lastChange = this._getLastChange();

      if (lastChange && (
        (parseFloat(lastChange) - parseFloat(response.rates[symbol])) > parseFloat(change)
      )) {
        this.$emit(
          response,
          {
            id: response.timestamp,
            summary: `A new significant change of currency "${symbol}" was detected!`,
            ts: response.timestamp,
          },
        );
      }
      this._setLastChange(response.rates[symbol]);
    },
  },
  async run() {
    await this.startEvent();
  },
};

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
Open Exchange Rates	`app`	`app`	This component uses the Open Exchange Rates 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 Open Exchange Rates on this schedule
Currency Id	`symbol`	`string`	Select a value from the drop down menu.
Change	`change`	`string`	The change you consider significant.

Trigger Authentication#

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

Getting started

First, open an account on the Open Exchange Rate dashboard

Then confirm your email address with the link sent to your account's email address.

Then, copy and paste the App ID into the field below.

About Open Exchange Rates#

Consistent, reliable exchange rate data and currency conversion for your business.

Action#

Create Job on Recruiterflow

Description:Creates a new job posting in Recruiterflow. [See the documentation](https://recruiterflow.com/swagger.yml)

Version:0.0.1

Key:recruiterflow-create-job

View on GitHub

Action Code#

import app from "../../recruiterflow.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "recruiterflow-create-job",
  name: "Create Job",
  description: "Creates a new job posting in Recruiterflow. [See the documentation](https://recruiterflow.com/swagger.yml)",
  version: "0.0.1",
  type: "action",
  annotations: {
    readOnlyHint: false,
    destructiveHint: false,
    openWorldHint: true,
  },
  props: {
    app,
    title: {
      type: "string",
      label: "Job Title",
      description: "The title of the job",
    },
    clientCompanyId: {
      propDefinition: [
        app,
        "companyId",
      ],
      label: "Client Company ID",
      description: "The ID of the client company for this job",
    },
    createdBy: {
      propDefinition: [
        app,
        "userId",
      ],
      label: "Created By",
      description: "ID of the user creating the job",
    },
    employmentTypeId: {
      propDefinition: [
        app,
        "employmentTypeId",
      ],
    },
    aboutPosition: {
      type: "string",
      label: "Job Description",
      description: "Detailed description of the job position",
    },
    departmentId: {
      propDefinition: [
        app,
        "departmentId",
      ],
    },
    locations: {
      type: "string[]",
      label: "Location IDs",
      description: "Array of location IDs for the job",
      propDefinition: [
        app,
        "locationId",
      ],
    },
    salaryRangeStart: {
      type: "integer",
      label: "Salary Range Start",
      description: "Minimum salary for the position",
      optional: true,
    },
    salaryRangeEnd: {
      type: "integer",
      label: "Salary Range End",
      description: "Maximum salary for the position",
      optional: true,
    },
    experienceRangeStart: {
      type: "integer",
      label: "Experience Range Start",
      description: "Minimum years of experience required",
      optional: true,
    },
    experienceRangeEnd: {
      type: "integer",
      label: "Experience Range End",
      description: "Maximum years of experience required",
      optional: true,
    },
    skills: {
      type: "string[]",
      label: "Skills",
      description: "Array of required skills (e.g., `[\"python\", \"java\"]`)",
      optional: true,
    },
    contacts: {
      type: "string[]",
      label: "Contact IDs",
      description: "Array of contact IDs associated with this job",
      optional: true,
      propDefinition: [
        app,
        "contactId",
      ],
    },
    hiringTeam: {
      type: "string[]",
      label: "Hiring Team",
      description: "Array of hiring team members. Example: `[{\"id\": role_id, \"values\": [{\"user_id\": user_id}]}]`",
      optional: true,
    },
    customFields: {
      propDefinition: [
        app,
        "customFields",
      ],
    },
  },
  async run({ $ }) {
    const {
      app,
      title,
      clientCompanyId,
      createdBy,
      aboutPosition,
      departmentId,
      employmentTypeId,
      locations,
      salaryRangeStart,
      salaryRangeEnd,
      experienceRangeStart,
      experienceRangeEnd,
      skills,
      contacts,
      hiringTeam,
      customFields,
    } = this;

    const data = {
      title,
      client_company_id: clientCompanyId,
      created_by: createdBy,
      about_position: aboutPosition,
      department_id: departmentId,
      employment_type_id: employmentTypeId,
      locations,
      salary_range_start: salaryRangeStart,
      salary_range_end: salaryRangeEnd,
      experience_range_start: experienceRangeStart,
      experience_range_end: experienceRangeEnd,
      skills,
      contacts,
    };

    // Parse JSON strings for object arrays
    if (hiringTeam) {
      data.hiring_team = utils.parseJson(hiringTeam);
    }
    if (customFields) {
      data.custom_fields = utils.parseJson(customFields);
    }

    const response = await app.createJob({
      $,
      data,
    });

    $.export("$summary", `Successfully created job: ${title}`);
    return response;
  },
};

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
Recruiterflow	`app`	`app`	This component uses the Recruiterflow app.
Job Title	`title`	`string`	The title of the job
Client Company ID	`clientCompanyId`	`string`	Select a value from the drop down menu.
Created By	`createdBy`	`string`	Select a value from the drop down menu.
Employment Type ID	`employmentTypeId`	`string`	Select a value from the drop down menu.
Job Description	`aboutPosition`	`string`	Detailed description of the job position
Department ID	`departmentId`	`string`	Select a value from the drop down menu.
Location IDs	`locations`	`string[]`	Select a value from the drop down menu.
Salary Range Start	`salaryRangeStart`	`integer`	Minimum salary for the position
Salary Range End	`salaryRangeEnd`	`integer`	Maximum salary for the position
Experience Range Start	`experienceRangeStart`	`integer`	Minimum years of experience required
Experience Range End	`experienceRangeEnd`	`integer`	Maximum years of experience required
Skills	`skills`	`string[]`	Array of required skills (e.g., `["python", "java"]`)
Contact IDs	`contacts`	`string[]`	Select a value from the drop down menu.
Hiring Team	`hiringTeam`	`string[]`	Array of hiring team members. Example: `[{"id": role_id, "values": [{"user_id": user_id}]}]`
Custom Fields	`customFields`	`string[]`	Array of custom field objects. Example: `[ { "id": 16, "value": {"currency": "USD", "number": 600000} }, { "id": 17, "value": {"currency": "USD", "number1": 600000, "number2": 800000} }, { "id": 19, "value": {"number1": 600000, "number2": 800000} }, { "id": 20, "value": ["choice1", "choice2"] }, { "id" : 33, "value" : "Random" } ]` See the API documentation for more details.