← Leadoku + AWS integrations

DynamoDB - Create Table with AWS API on New Responder from Leadoku API

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New Responder from the Leadoku API
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DynamoDB - Create Table with the AWS API
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Getting Started

This integration creates a workflow with a Leadoku trigger and AWS 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 Responder trigger
    1. Connect your Leadoku account
    2. Configure timer
  3. Configure the DynamoDB - Create Table action
    1. Connect your AWS account
    2. Select a AWS Region
    3. Configure Table Name
    4. Configure Key Hash Attribute Name
    5. Select a Key Hash Attribute Type
    6. Optional- Configure Key Range Attribute Name
  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 there is a new responder in Leadoku. [See the documentation](https://help.leadoku.io/en/articles/8261580-leadoku-api-for-custom-integrations)
Version:0.0.1
Key:leadoku-new-responder

Leadoku Overview

The Leadoku API allows for the automation of lead capture, enrichment, and management processes. By interfacing with Leadoku on Pipedream, users can streamline the integration of lead data into sales, marketing, and CRM systems, enhancing lead qualification and accelerating sales cycles. This API serves well for businesses looking to automate the flow of lead information between platforms and derive insights from lead data with minimal manual intervention.

Trigger Code

import common from "../common/base.mjs";

export default {
  ...common,
  key: "leadoku-new-responder",
  name: "New Responder",
  description: "Emit new event when there is a new responder in Leadoku. [See the documentation](https://help.leadoku.io/en/articles/8261580-leadoku-api-for-custom-integrations)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.leadoku.getNewResponders;
    },
    getTsField() {
      return "message_scan_date";
    },
    getSummary() {
      return "New Responder";
    },
  },
};

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
LeadokuleadokuappThis component uses the Leadoku app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Trigger Authentication

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

About Leadoku

The Most Advanced, Secure, and Effective LinkedIn Lead Generation product, by far!

Action

Description:Creates a new table to your account. [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/createtablecommand.html)
Version:0.2.1
Key:aws-dynamodb-create-table

AWS Overview

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code

import common from "../../common/common-dynamodb.mjs";
import constants from "../../common/constants.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...common,
  key: "aws-dynamodb-create-table",
  name: "DynamoDB - Create Table",
  description: toSingleLineString(`
    Creates a new table to your account.
    [See docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/classes/createtablecommand.html)
  `),
  version: "0.2.1",
  type: "action",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    tableName: {
      type: common.props.tableName.type,
      label: common.props.tableName.label,
      description: common.props.tableName.description,
    },
    keyPrimaryAttributeName: common.props.keyPrimaryAttributeName,
    keyPrimaryAttributeType: common.props.keyPrimaryAttributeType,
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    keySecondaryAttributeName: {
      ...common.props.keySecondaryAttributeName,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};

    if (this.keySecondaryAttributeName) {
      props.keySecondaryAttributeType = {
        type: "string",
        label: "Key Range Attribute Type",
        description: "The data type of the sort key",
        options: constants.dynamodb.keyAttributeTypes,
      };
    }

    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    props.billingMode = {
      ...common.props.billingMode,
      reloadProps: true,
    };

    if (this.billingMode === constants.dynamodb.billingModes.PROVISIONED) {
      props.readCapacityUnits = {
        type: "integer",
        label: "Read Capacity Units",
        description: "The maximum number of strongly consistent reads consumed per second before DynamoDB returns a `ThrottlingException`",
      };
      props.writeCapacityUnits = {
        type: "integer",
        label: "Write Capacity Units",
        description: "The maximum number of writes consumed per second before DynamoDB returns a `ThrottlingException`",
      };
    }

    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    props.streamSpecificationEnabled = {
      ...common.props.streamSpecificationEnabled,
      reloadProps: true,
    };

    if (this.streamSpecificationEnabled) {
      props.streamSpecificationViewType = {
        type: "string",
        label: "Stream Specification View Type",
        description: "When an item in the table is modified, StreamViewType determines what information is written to the table's stream. [See the docs](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-dynamodb/interfaces/createtablecommandinput.html#streamspecification)",
        options: constants.dynamodb.streamSpecificationViewTypes,
      };
    }

    return props;
  },
  async run({ $ }) {
    const params = {
      TableName: this.tableName,
      AttributeDefinitions: [
        {
          AttributeName: this.keyPrimaryAttributeName,
          AttributeType: this.keyPrimaryAttributeType,
        },
      ],
      KeySchema: [
        {
          AttributeName: this.keyPrimaryAttributeName,
          KeyType: constants.dynamodb.keyTypes.HASH,
        },
      ],
    };

    if (this.keySecondaryAttributeName && this.keySecondaryAttributeType) {
      params.AttributeDefinitions.push({
        AttributeName: this.keySecondaryAttributeName,
        AttributeType: this.keySecondaryAttributeType,
      });
      params.KeySchema.push({
        AttributeName: this.keySecondaryAttributeName,
        KeyType: constants.dynamodb.keyTypes.RANGE,
      });
    }

    if (this.billingMode) {
      params.BillingMode = this.billingMode;
      if (this.billingMode === constants.dynamodb.billingModes.PROVISIONED) {
        params.ProvisionedThroughput = {
          ReadCapacityUnits: this.readCapacityUnits,
          WriteCapacityUnits: this.writeCapacityUnits,
        };
      }
    }

    if (typeof (this.streamSpecificationEnabled) === "boolean") {
      params.StreamSpecification = {
        StreamEnabled: this.streamSpecificationEnabled,
      };
      if (this.streamSpecificationViewType) {
        params.StreamSpecification.StreamViewType = this.streamSpecificationViewType;
      }
    }

    const response = await this.createTable(params);
    $.export("$summary", `Created DynamoDB table ${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.

LabelPropTypeDescription
AWSawsappThis component uses the AWS app.
AWS RegionregionstringSelect a value from the drop down menu.
Table NametableNamestring

The name of the table

Key Hash Attribute NamekeyPrimaryAttributeNamestring

The name of the partition key

Key Hash Attribute TypekeyPrimaryAttributeTypestringSelect a value from the drop down menu:{ "label": "string", "value": "S" }{ "label": "number", "value": "N" }{ "label": "binary", "value": "B" }
Key Range Attribute NamekeySecondaryAttributeNamestring

The name of the sort key

Action Authentication

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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