← Salesforce (REST API) + Interzoid integrations

Generate Match Report with Interzoid API on New Record (Instant, of Selectable Type) from Salesforce (REST API) API

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New Record (Instant, of Selectable Type) from the Salesforce (REST API) API
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Generate Match Report with the Interzoid API
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Developers Pipedream

Getting Started

This integration creates a workflow with a Salesforce (REST API) trigger and Interzoid 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 Record (Instant, of Selectable Type) trigger
    1. Connect your Salesforce (REST API) account
    2. Select a Object Type
  3. Configure the Generate Match Report action
    1. Connect your Interzoid account
    2. Select a Matching Algorithm Type
    3. Select a Database Connection Type
    4. Configure Connection String
    5. Configure Table Name
    6. Configure Match Column Name
    7. Optional- Configure Reference
  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 immediately after a record of arbitrary object type (selected as an input parameter by the user) is created
Version:0.0.4
Key:salesforce_rest_api-new-record-instant

Salesforce (REST API) Overview

The Salesforce (REST API) provides a powerful platform for creating and managing customer relationships with a wide array of features like data manipulation, querying, and complex automation. With Pipedream's serverless execution, you can create workflows that automate your sales processes, sync data with other platforms, enhance customer engagement, and trigger actions based on specific events. Dive into Salesforce data, streamline lead management, track customer interactions, and push or pull data to or from Salesforce seamlessly.

Trigger Code

import startCase from "lodash/startCase.js";
import common from "../common-instant.mjs";

export default {
  ...common,
  type: "source",
  name: "New Record (Instant, of Selectable Type)",
  key: "salesforce_rest_api-new-record-instant",
  description: "Emit new event immediately after a record of arbitrary object type (selected as an input parameter by the user) is created",
  version: "0.0.4",
  hooks: {
    ...common.hooks,
    async deploy() {
      const objectType = this.objectType;
      const nameField = await this.salesforce.getNameFieldForObjectType(objectType);
      this.setNameField(nameField);

      // emit hisorical events
      const { recentItems } = await this.salesforce.listSObjectTypeIds(objectType);
      const ids = recentItems.map((item) => item.Id);
      for (const id of ids.slice(-25)) {
        const object = await this.salesforce.getSObject(objectType, id);
        const event = {
          body: {
            "New": object,
            "UserId": id,
          },
        };
        this.processEvent(event);
      }
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const nameField = this.getNameField();
      const { New: newObject } = data.body;
      const {
        CreatedDate: createdDate,
        Id: id,
        [nameField]: name,
      } = newObject;
      const entityType = startCase(this.objectType).toLowerCase();
      const summary = `New ${entityType} created: ${name}`;
      const ts = Date.parse(createdDate);
      return {
        id,
        summary,
        ts,
      };
    },
    getEventType() {
      return "new";
    },
  },
};

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
Salesforce (REST API)salesforceappThis component uses the Salesforce (REST API) app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.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.
Object TypeobjectTypestringSelect a value from the drop down menu.

Trigger Authentication

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

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

About Salesforce (REST API)

Web services API for interacting with Salesforce

Action

Description:Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)
Version:0.0.1
Key:interzoid-generate-match-report

Interzoid Overview

The Interzoid API offers a plethora of data-driven APIs that enable you to enrich, standardize, and deduplicate data across various fields such as demographics, financials, and text. With these capabilities, you can enhance data quality, drive better analytics, and create more intelligent workflows and applications. In Pipedream, you can integrate these APIs into serverless workflows, triggering actions based on various events, manipulating and routing data to other apps, services, or data stores with ease.

Action Code

import interzoid from "../../interzoid.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "interzoid-generate-match-report",
  name: "Generate Match Report",
  description: "Generate a Match Report using a dataset table or file (CSV/TSV/Excel). [See the documentation](https://connect.interzoid.com/data-matching-workflow)",
  version: "0.0.1",
  type: "action",
  props: {
    interzoid,
    category: {
      type: "string",
      label: "Matching Algorithm Type",
      description: "This category type indicates which set of Machine Learning and matching algorithms to make use of based on type of data content",
      options: constants.CATEGORY_OPTIONS,
    },
    source: {
      type: "string",
      label: "Database Connection Type",
      description: "Source of data, such as 'CSV', 'Snowflake', 'Postgres', etc.",
      options: constants.SOURCE_OPTIONS,
    },
    connection: {
      type: "string",
      label: "Connection String",
      description: "Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.",
    },
    table: {
      type: "string",
      label: "Table Name",
      description: "Table name to access the source data. Use \"CSV\" or \"TSV\" for delimited text files.",
    },
    column: {
      type: "string",
      label: "Match Column Name",
      description: "Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.",
    },
    reference: {
      type: "string",
      label: "Reference",
      description: "An additional column from the source table to display in the output results, such as a primary key.",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.interzoid.generateMatchReport({
      $,
      params: {
        category: this.category,
        source: this.source,
        connection: this.connection,
        table: this.table,
        column: this.column,
        reference: this.reference,
      },
    });

    $.export("$summary", "Successfully generated match report");

    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.

LabelPropTypeDescription
InterzoidinterzoidappThis component uses the Interzoid app.
Matching Algorithm TypecategorystringSelect a value from the drop down menu:{ "label": "Company and Organization Names", "value": "company" }{ "label": "Individual Names", "value": "individual" }{ "label": "Street Addresses", "value": "address" }
Database Connection TypesourcestringSelect a value from the drop down menu:AWS RDS/AuroraSnowflakeAzure SQLGoogle Cloud SQLDatabricksPostgreSQLMySQLMariaDBParquetCSVTSVExcel
Connection Stringconnectionstring

Connection string to access database, or in the case of a CSV or TSV file, use the full URL of the location of the file.

Table Nametablestring

Table name to access the source data. Use "CSV" or "TSV" for delimited text files.

Match Column Namecolumnstring

Column name within the table to access the source data. This is a number for CSV or TSV files, starting with number 1 from the left side of the file.

Referencereferencestring

An additional column from the source table to display in the output results, such as a primary key.

Action Authentication

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

Sign in and copy your API key from the Account page

About Interzoid

AI & ML-based Data Engineering in the Cloud for better data - Connect to Cloud database tables, CSVs, etc with data workloads running entirely in the Cloud.

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