← Melo + Google Sheets integrations

Add Multiple Rows with Google Sheets API on New Property Created (Instant) from Melo API

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New Property Created (Instant) from the Melo API
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Add Multiple Rows with the Google Sheets API
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Getting Started

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

  1. Select this integration
  2. Configure the New Property Created (Instant) trigger
    1. Connect your Melo account
    2. Configure Title
    3. Select a Transaction Type
    4. Select one or more Property Types
    5. Optional- Configure Minimum Bedrooms
    6. Optional- Configure Maximum Bedrooms
    7. Optional- Configure Minimum Budget
    8. Configure Maximum Budget
    9. Optional- Configure Excluded Cities
    10. Optional- Configure Excluded Site Categories
    11. Optional- Configure Furnished
    12. Optional- Configure Hide Property Contact
    13. Optional- Configure Included Cities
    14. Optional- Configure Included Departments
    15. Optional- Configure Included Site Categories
    16. Optional- Configure Included Zipcodes
    17. Optional- Configure Maximum Land Surface
    18. Optional- Configure Minimum Land Surface
    19. Optional- Configure Latitude
    20. Optional- Configure Longitude
    21. Optional- Configure Maximum Price Per Meter
    22. Optional- Configure Minimum Price Per Meter
    23. Optional- Select one or more Publisher Types
    24. Optional- Configure Radius
    25. Optional- Configure Minimum Number of Rooms
    26. Optional- Configure Maximum Number of Rooms
    27. Optional- Configure Maximum Surface Area
    28. Optional- Configure Minimum Surface Area
    29. Optional- Configure With Coherent Price
    30. Optional- Configure With Virtual Tour
  3. Configure the Add Multiple Rows action
    1. Connect your Google Sheets account
    2. Optional- Select a Drive
    3. Select a Spreadsheet
    4. Select a Sheet Name
    5. Configure Row Values
    6. Optional- Configure Reset Row Format
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event when a new property ad is created in Melo. Requires a Production Environment.
Version:0.0.1
Key:melo-new-property-created

Melo Overview

Melo API enables you to manage and automate tasks related to project management and team collaboration. Utilize Melo's endpoints to create tasks, update project details, manage team assignments, and retrieve project metrics. Integrating Melo API with Pipedream allows you to connect your project management workflows with other apps and services, streamlining productivity and providing real-time updates across your tech stack.

Trigger Code

import melo from "../../melo.app.mjs";
import constants from "../../common/constants.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  key: "melo-new-property-created",
  name: "New Property Created (Instant)",
  description: "Emit new event when a new property ad is created in Melo. Requires a Production Environment.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    melo,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    title: {
      type: "string",
      label: "Title",
      description: "Title of the created search.",
    },
    transactionType: {
      type: "string",
      label: "Transaction Type",
      description: "Type of transaction. Sell 0, Rent 1.",
      options: constants.TRANSACTION_TYPES,
    },
    propertyTypes: {
      type: "string[]",
      label: "Property Types",
      description: "Type of property. Apartment 0, House 1, Building 2, Parking 3, Office 4, Land 5, Shop 6. Example: propertyTypes[]=0&propertyTypes[]=1",
      options: constants.PROPERTY_TYPES,
    },
    bedroomMin: {
      type: "integer",
      label: "Minimum Bedrooms",
      description: "Minimum number of bedrooms in the property.",
      optional: true,
    },
    bedroomMax: {
      type: "integer",
      label: "Maximum Bedrooms",
      description: "Maximum number of bedrooms in the property.",
      optional: true,
    },
    budgetMin: {
      type: "integer",
      label: "Minimum Budget",
      description: "Minimum budget for the property.",
      optional: true,
    },
    budgetMax: {
      type: "integer",
      label: "Maximum Budget",
      description: "Maximum budget for the property.",
    },
    excludedCities: {
      type: "string[]",
      label: "Excluded Cities",
      description: "Cities to be excluded.",
      optional: true,
    },
    excludedSiteCategories: {
      type: "string[]",
      label: "Excluded Site Categories",
      description: "Site categories to be excluded.",
      optional: true,
    },
    furnished: {
      type: "boolean",
      label: "Furnished",
      description: "Whether the property is furnished or not.",
      optional: true,
    },
    hidePropertyContact: {
      type: "boolean",
      label: "Hide Property Contact",
      description: "Whether to hide property contact information or not.",
      optional: true,
    },
    includedCities: {
      type: "string[]",
      label: "Included Cities",
      description: "Included cities.",
      optional: true,
    },
    includedDepartments: {
      type: "string[]",
      label: "Included Departments",
      description: "Included departments.",
      optional: true,
    },
    includedSiteCategories: {
      type: "string[]",
      label: "Included Site Categories",
      description: "Included site categories.",
      optional: true,
    },
    includedZipcodes: {
      type: "string[]",
      label: "Included Zipcodes",
      description: "Included zipcodes.",
      optional: true,
    },
    landSurfaceMax: {
      type: "integer",
      label: "Maximum Land Surface",
      description: "Maximum land surface.",
      optional: true,
    },
    landSurfaceMin: {
      type: "integer",
      label: "Minimum Land Surface",
      description: "Minimum land surface.",
      optional: true,
    },
    lat: {
      type: "string",
      label: "Latitude",
      description: "Latitude. Will work if latitude exists in the property.",
      optional: true,
    },
    lon: {
      type: "string",
      label: "Longitude",
      description: "Longitude. Will work if latitude exists in the property.",
      optional: true,
    },
    pricePerMeterMax: {
      type: "integer",
      label: "Maximum Price Per Meter",
      description: "Maximum price per meter.",
      optional: true,
    },
    pricePerMeterMin: {
      type: "integer",
      label: "Minimum Price Per Meter",
      description: "Minimum price per meter.",
      optional: true,
    },
    publisherTypes: {
      type: "string[]",
      label: "Publisher Types",
      description: "Type of publisher. Individual 0, Professional 1.",
      options: constants.PUBLISHER_TYPES,
      optional: true,
    },
    radius: {
      type: "integer",
      label: "Radius",
      description: "Distance expressed in kilometers. Will work if latitude & longitude parameters are also set.",
      optional: true,
    },
    roomMin: {
      type: "integer",
      label: "Minimum Number of Rooms",
      description: "Minimum number of rooms.",
      optional: true,
    },
    roomMax: {
      type: "integer",
      label: "Maximum Number of Rooms",
      description: "Maximum number of rooms.",
      optional: true,
    },
    surfaceMax: {
      type: "integer",
      label: "Maximum Surface Area",
      description: "Maximum property surface area.",
      optional: true,
    },
    surfaceMin: {
      type: "integer",
      label: "Minimum Surface Area",
      description: "Minimum property surface area.",
      optional: true,
    },
    withCoherentPrice: {
      type: "boolean",
      label: "With Coherent Price",
      description: "Having properties with coherent prices.",
      optional: true,
      default: true,
    },
    withVirtualTour: {
      type: "boolean",
      label: "With Virtual Tour",
      description: "Whether the property includes a virtual tour.",
      optional: true,
    },
  },
  hooks: {
    async deploy() {
      if (!this.includedCities?.length
        && !this.includedDepartments?.length
        && !(this.lat && this.lon && this.radius)
      ) {
        throw new ConfigurationError("Choose at least one location. IncludedCities or includedDepartments or radius/lon/lat.");
      }

      const {
        melo,
        http,
        transactionType,
        propertyTypes,
        publisherTypes,
        lat,
        lon,
        ...data
      } = this;

      try {
        await melo.createSearch({
          data: {
            subscribedEvents: [
              "property.ad.create",
            ],
            notificationEnabled: true,
            endpointRecipient: http.endpoint,
            transactionType: parseInt(transactionType),
            propertyTypes: propertyTypes.map((type) => parseInt(type)),
            publisherTypes: publisherTypes?.length
              ? publisherTypes.map((type) => parseInt(type))
              : undefined,
            lat: lat
              ? parseFloat(lat)
              : undefined,
            lon: lon
              ? parseFloat(lon)
              : undefined,
            ...data,
          },
        });
      } catch (e) {
        const message = JSON.parse(e.message);
        if (message["hydra:description"] === "Access Denied.") {
          throw new ConfigurationError(`${message["hydra:description"]} Creating webhooks requires a Production Environment API Key.`);
        }
        throw new Error(JSON.stringify(message));
      }
    },
  },
  async run(event) {
    this.http.respond({
      status: 200,
    });

    const { body } = event;
    this.$emit(body, {
      id: body.match["@id"],
      summary: `${body.match.propertyDocument.title}`,
      ts: Date.parse(body.match.createdAt),
    });
  },
};

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.
LabelPropTypeDescription
MelomeloappThis component uses the Melo app.
N/Ahttp$.interface.httpThis 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.
Titletitlestring

Title of the created search.

Transaction TypetransactionTypestringSelect a value from the drop down menu:{ "value": "0", "label": "Sell" }{ "value": "1", "label": "Rent" }
Property TypespropertyTypesstring[]Select a value from the drop down menu:{ "value": "0", "label": "Apartment" }{ "value": "1", "label": "House" }{ "value": "2", "label": "Building" }{ "value": "3", "label": "Parking" }{ "value": "4", "label": "Office" }{ "value": "5", "label": "Land" }{ "value": "6", "label": "Shop" }
Minimum BedroomsbedroomMininteger

Minimum number of bedrooms in the property.

Maximum BedroomsbedroomMaxinteger

Maximum number of bedrooms in the property.

Minimum BudgetbudgetMininteger

Minimum budget for the property.

Maximum BudgetbudgetMaxinteger

Maximum budget for the property.

Excluded CitiesexcludedCitiesstring[]

Cities to be excluded.

Excluded Site CategoriesexcludedSiteCategoriesstring[]

Site categories to be excluded.

Furnishedfurnishedboolean

Whether the property is furnished or not.

Hide Property ContacthidePropertyContactboolean

Whether to hide property contact information or not.

Included CitiesincludedCitiesstring[]

Included cities.

Included DepartmentsincludedDepartmentsstring[]

Included departments.

Included Site CategoriesincludedSiteCategoriesstring[]

Included site categories.

Included ZipcodesincludedZipcodesstring[]

Included zipcodes.

Maximum Land SurfacelandSurfaceMaxinteger

Maximum land surface.

Minimum Land SurfacelandSurfaceMininteger

Minimum land surface.

Latitudelatstring

Latitude. Will work if latitude exists in the property.

Longitudelonstring

Longitude. Will work if latitude exists in the property.

Maximum Price Per MeterpricePerMeterMaxinteger

Maximum price per meter.

Minimum Price Per MeterpricePerMeterMininteger

Minimum price per meter.

Publisher TypespublisherTypesstring[]Select a value from the drop down menu:{ "value": "0", "label": "Individual" }{ "value": "1", "label": "Professional" }
Radiusradiusinteger

Distance expressed in kilometers. Will work if latitude & longitude parameters are also set.

Minimum Number of RoomsroomMininteger

Minimum number of rooms.

Maximum Number of RoomsroomMaxinteger

Maximum number of rooms.

Maximum Surface AreasurfaceMaxinteger

Maximum property surface area.

Minimum Surface AreasurfaceMininteger

Minimum property surface area.

With Coherent PricewithCoherentPriceboolean

Having properties with coherent prices.

With Virtual TourwithVirtualTourboolean

Whether the property includes a virtual tour.

Trigger Authentication

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

About Melo

Power your business with comprehensive property data delivered via the most reactive real estate API

Action

Description:Add multiple rows of data to a Google Sheet
Version:0.2.2
Key:google_sheets-add-multiple-rows

Google Sheets Overview

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Action Code

import googleSheets from "../../google_sheets.app.mjs";

export default {
  key: "google_sheets-add-multiple-rows",
  name: "Add Multiple Rows",
  description: "Add multiple rows of data to a Google Sheet",
  version: "0.2.2",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
    },
    sheetName: {
      propDefinition: [
        googleSheets,
        "sheetName",
        (c) => ({
          sheetId: c.sheetId,
        }),
      ],
    },
    rows: {
      propDefinition: [
        googleSheets,
        "rows",
      ],
    },
    resetRowFormat: {
      type: "boolean",
      label: "Reset Row Format",
      description: "Reset the formatting of the rows that were added (line style to none, background to white, foreground color to black, font size to 10, no bold, no italic, no strikethrough, horizontalAlignment to left). This is useful if you want to add rows to a formatted table in Google Sheets.",
      optional: true,
    },
  },
  async run() {
    let rows = this.rows;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(this.rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      console.error("Data Submitted:");
      console.error(rows);
      throw new Error("Rows data is not an array of arrays. Please enter an array of arrays in the `Rows` parameter above. If you're trying to send a single rows to Google Sheets, search for the action to add a single row to Sheets or try modifying the code for this step.");
    }

    const addRowsResponse = await this.googleSheets.addRowsToSheet({
      spreadsheetId: this.sheetId,
      range: this.sheetName,
      rows,
    });

    if (this.resetRowFormat) {
      await this.googleSheets.resetRowFormat(this.sheetId, addRowsResponse.updatedRange);
    }
    return addRowsResponse;
  },
};

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.

LabelPropTypeDescription
Google SheetsgoogleSheetsappThis component uses the Google Sheets app.
DrivedrivestringSelect a value from the drop down menu.
SpreadsheetsheetIdstringSelect a value from the drop down menu.
Sheet NamesheetNamestringSelect a value from the drop down menu.
Row Valuesrowsstring

Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a cell/column value (e.g., passing [["Foo",1,2],["Bar",3,4]] will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., {{steps.foo.$return_value}}). You may also enter or construct a string that will JSON.parse() to an array of arrays.

Reset Row FormatresetRowFormatboolean

Reset the formatting of the rows that were added (line style to none, background to white, foreground color to black, font size to 10, no bold, no italic, no strikethrough, horizontalAlignment to left). This is useful if you want to add rows to a formatted table in Google Sheets.

Action Authentication

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

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

emailprofilehttps://www.googleapis.com/auth/drive

About Google Sheets

Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.

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