Insert Multiple Rows with Snowflake 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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Insert Multiple Rows with the Snowflake API

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Getting Started#

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

Select this integration
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
Configure the Insert Multiple Rows action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
5. Select one or more Columns
6. Configure Row Values
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 Property Created (Instant) on Melo

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

View on GitHub

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.

Label	Prop	Type	Description
Melo	`melo`	`app`	This component uses the Melo 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.
Title	`title`	`string`	Title of the created search.
Transaction Type	`transactionType`	`string`	Select a value from the drop down menu:`{ "value": "0", "label": "Sell" }{ "value": "1", "label": "Rent" }`
Property Types	`propertyTypes`	`string[]`	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 Bedrooms	`bedroomMin`	`integer`	Minimum number of bedrooms in the property.
Maximum Bedrooms	`bedroomMax`	`integer`	Maximum number of bedrooms in the property.
Minimum Budget	`budgetMin`	`integer`	Minimum budget for the property.
Maximum Budget	`budgetMax`	`integer`	Maximum budget for the property.
Excluded Cities	`excludedCities`	`string[]`	Cities to be excluded.
Excluded Site Categories	`excludedSiteCategories`	`string[]`	Site categories to be excluded.
Furnished	`furnished`	`boolean`	Whether the property is furnished or not.
Hide Property Contact	`hidePropertyContact`	`boolean`	Whether to hide property contact information or not.
Included Cities	`includedCities`	`string[]`	Included cities.
Included Departments	`includedDepartments`	`string[]`	Included departments.
Included Site Categories	`includedSiteCategories`	`string[]`	Included site categories.
Included Zipcodes	`includedZipcodes`	`string[]`	Included zipcodes.
Maximum Land Surface	`landSurfaceMax`	`integer`	Maximum land surface.
Minimum Land Surface	`landSurfaceMin`	`integer`	Minimum land surface.
Latitude	`lat`	`string`	Latitude. Will work if latitude exists in the property.
Longitude	`lon`	`string`	Longitude. Will work if latitude exists in the property.
Maximum Price Per Meter	`pricePerMeterMax`	`integer`	Maximum price per meter.
Minimum Price Per Meter	`pricePerMeterMin`	`integer`	Minimum price per meter.
Publisher Types	`publisherTypes`	`string[]`	Select a value from the drop down menu:`{ "value": "0", "label": "Individual" }{ "value": "1", "label": "Professional" }`
Radius	`radius`	`integer`	Distance expressed in kilometers. Will work if latitude & longitude parameters are also set.
Minimum Number of Rooms	`roomMin`	`integer`	Minimum number of rooms.
Maximum Number of Rooms	`roomMax`	`integer`	Maximum number of rooms.
Maximum Surface Area	`surfaceMax`	`integer`	Maximum property surface area.
Minimum Surface Area	`surfaceMin`	`integer`	Minimum property surface area.
With Coherent Price	`withCoherentPrice`	`boolean`	Having properties with coherent prices.
With Virtual Tour	`withVirtualTour`	`boolean`	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#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.0.11

Key:snowflake-insert-multiple-rows

View on GitHub

Snowflake Overview#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Action Code#

import snowflake from "../../snowflake.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  type: "action",
  key: "snowflake-insert-multiple-rows",
  name: "Insert Multiple Rows",
  description: "Insert multiple rows into a table",
  version: "0.0.11",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add rows",
    },
    columns: {
      propDefinition: [
        snowflake,
        "columns",
        (c) => ({
          tableName: c.tableName,
        }),
      ],
    },
    values: {
      propDefinition: [
        snowflake,
        "values",
      ],
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(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) {
      throw new ConfigurationError("The row data you passed is not an array of arrays. Please enter an array of arrays in the `Values` parameter above. If you're trying to add a single row to Snowflake, select the **Insert Single Row** action.");
    }

    const response = await this.snowflake.insertRows(this.tableName, this.columns, this.values);
    $.export("$summary", `Successfully inserted ${this.values.length} rows in ${this.tableName}`);
    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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Values	`values`	`string`	Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a 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.