← AWS + Verifalia integrations

Verify Email Address with Verifalia API on New Inbound SES Emails from AWS API

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New Inbound SES Emails from the AWS API
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Verify Email Address with the Verifalia API
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Getting Started

This integration creates a workflow with a AWS trigger and Verifalia 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 Inbound SES Emails trigger
    1. Connect your AWS account
    2. Select a AWS Region
    3. Select a SES Domain
  3. Configure the Verify Email Address action
    1. Connect your Verifalia account
    2. Configure Email address
    3. Optional- Select a Quality Level
    4. Optional- Configure Data Retention Period
  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:The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.
Version:1.2.3
Key:aws-new-emails-sent-to-ses-catch-all-domain

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.

Trigger Code

import { v4 as uuid } from "uuid";
import base from "../common/ses.mjs";
import commonS3 from "../../common/common-s3.mjs";
import { toSingleLineString } from "../../common/utils.mjs";
import { simpleParser } from "mailparser";

export default {
  ...base,
  key: "aws-new-emails-sent-to-ses-catch-all-domain",
  name: "New Inbound SES Emails",
  description: toSingleLineString(`
    The source subscribes to all emails delivered to a
    specific domain configured in AWS SES.
    When an email is sent to any address at the domain,
    this event source emits that email as a formatted event.
    These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.
  `),
  type: "source",
  version: "1.2.3",
  props: {
    ...base.props,
    domain: {
      label: "SES Domain",
      description: "The domain you'd like to configure a catch-all handler for",
      type: "string",
      async options() {
        const { Identities: identities } = await this.listIdentities();
        return identities;
      },
    },
  },
  methods: {
    ...base.methods,
    ...commonS3.methods,
    getReceiptRule(bucketName, topicArn) {
      const name = `pd-catchall-${uuid()}`;
      const rule = {
        Name: name,
        Enabled: true,
        Actions: [
          {
            S3Action: {
              TopicArn: topicArn,
              BucketName: bucketName,
            },
          },
        ],
        Recipients: [
          this.domain,
        ],
        ScanEnabled: true,
      };
      return {
        name,
        rule,
      };
    },
    async processEvent(event) {
      const { body } = event;
      const { Message: rawMessage } = body;
      if (!rawMessage) {
        console.log("No message present, exiting");
        return;
      }

      const { "x-amz-sns-message-id": id } = event.headers;
      const { Timestamp: ts } = event.body;
      const meta = {
        id,
        ts,
      };

      try {
        const message = JSON.parse(rawMessage);
        const {
          bucketName: Bucket,
          objectKey: Key,
        } = message.receipt.action;

        const { Body } = await this.getObject({
          Bucket,
          Key,
        });
        const parsed = await simpleParser(Body);
        for (const attachment of parsed.attachments || []) {
          if (!attachment.content) continue;
          attachment.content_b64 = attachment.content.toString("base64");
          delete attachment.content;
        }

        // Emit to the default channel
        this.$emit(parsed, {
          id,
          summary: parsed.subject,
          ts,
        });

        // and a channel specific to the email address
        const address = parsed.to?.[0]?.address;
        if (address) {
          this.$emit(parsed, {
            id,
            name: address,
            summary: parsed.subject,
            ts,
          });
        }
      } catch (err) {
        console.log(
          `Couldn't parse message. Emitting raw message. Error: ${err}`,
        );
        this.$emit({
          rawMessage,
        }, {
          ...meta,
          summary: "Couldn't parse message",
        });
      }
    },
  },
};

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
AWSawsappThis component uses the AWS 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.
AWS RegionregionstringSelect a value from the drop down menu.
SES DomaindomainstringSelect a value from the drop down menu.

Trigger 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.

Action

Description:Verify an email address and check if it is properly formatted, really exists and can accept mails, flagging spam traps, disposable emails and much more. [See the docs](https://verifalia.com/developers#email-validations-creating) for more information
Version:1.1.0
Key:verifalia-verify-email

Verifalia Overview

Verifalia's API provides robust email validation and verification services, ensuring that email addresses in your lists are accurate and deliverable. Leveraging Verifalia within Pipedream workflows can automate the process of cleaning up email lists, improve email marketing efficiency, and maintain communication channel integrity. By integrating Verifalia's capabilities, you can cut down on bounces, identify disposable email addresses, and segment lists based on quality scores.

Action Code

import { axios } from "@pipedream/platform";
import verifalia from "../../verifalia.app.mjs";
import common from "../../common.mjs";

import {
  CancellationToken,
  OperationCanceledError,
} from "verifalia";

export default {
  name: "Verify Email Address",
  description: "Verify an email address and check if it is properly formatted, really exists and can accept mails, " +
        "flagging spam traps, disposable emails and much more. [See the docs](https://verifalia.com/developers#email-validations-creating) for more information",
  key: "verifalia-verify-email",
  version: "1.1.0",
  type: "action",
  props: {
    verifalia,
    emailAddress: {
      type: "string",
      label: "Email address",
      description: "Enter the email address to verify (e.g. `batman@gmail.com`)",
      optional: false,
    },
    quality: {
      type: "string",
      label: "Quality Level",
      description: "The higher the quality level the longer it could take to complete the verification; by default, we use the configured default quality level for your Verifalia user.",
      optional: true,
      options: common.qualityLevelOptions,
    },
    retention: {
      type: "string",
      label: "Data Retention Period",
      description: "The data retention period to observe for the validation job, expressed in the format `dd.hh:mm:ss` " +
                "(where dd: days, hh: hours, mm: minutes, ss: seconds); the initial `dd.` part is added only for periods of " +
                "more than 24 hours. The value has a minimum of 5 minutes (`0:5:0`) and a maximum of 30 days (`30.0:0:0`): " +
                "Verifalia will delete the job and its data once its data retention period is over, starting to count when " +
                "it gets completed.",
      optional: true,
    },
  },

  async run({ $ }) {
    const { run } = $.context;
    const verifaliaClient = this.verifalia.buildVerifaliaRestClient();

    // This component takes advantage of the new Pipedream's flow suspension: we handle
    // the first run vs. callback scenarios hereafter.

    if (run.runs === 1) {
      // Check the format of the data retention period and report a user-friendly error

      if (this.retention && !this.verifalia.isValidTimeSpan(this.retention)) {
        throw new Error(`The specified data retention period '${this.retention}' is incorrect: must be in the ` +
                    "format dd.hh:mm:ss (where dd: days, hh: hours, mm: minutes, ss: seconds).");
      }

      // HACK: Pausing a workflow is not supported in test mode, as the editor would just
      // output the message "Would have paused until...". To overcome this, we are *not*
      // suspending runs in test mode and, in that case, proceed with a standard polling
      // to the API, backed by the usual Promise support. If the execution time approaches
      // the one we are allowed by Pipedream, we just let the user know.

      let resumeUrl = null;
      let waitForResults = false;
      let cancellationToken = null;

      if ($.context.test) {
        // In test mode, we will wait for the verification results during this execution
        // and cancel the token after 20s (the actual lowest limit is 30s).
        // See: https://pipedream.com/docs/limits/#time-per-execution

        waitForResults = true;
        cancellationToken = new CancellationToken();
        setTimeout(() => cancellationToken.cancel(), 20 * 1000);
      } else {
        // In deployment mode, we won't wait for the verification results during this
        // execution and, instead, rely on the Verifalia completion callback support and
        // on the Pipedream's new ability to suspend execution flows.

        resumeUrl = $.flow.rerun(86400 * 1000, {}, 1).resume_url;
      }

      // Submit the verification to Verifalia

      let job;

      try {
        job = await this.verifalia.wrapVerifaliaApiInvocation(async () => {
          return await verifaliaClient
            .emailValidations
            .submit({
              quality: this.quality,
              entries: [
                {
                  inputData: this.emailAddress,
                },
              ],
              retention: this.retention,
              callback: {
                url: resumeUrl,
              },
            },
            waitForResults,
            cancellationToken);
        });
      } catch (error) {
        // If the error is an OperationCanceledError it means that we are in test mode and
        // have manually cancelled the submission: just let the user know why that happened.

        if (error instanceof OperationCanceledError) {
          // Had to replace the word req*ire with a synonym because of https://github.com/PipedreamHQ/pipedream/issues/3187 :)

          throw new Error("This operation would need some more time to complete and that would not work properly in " +
                        "Pipedream's test mode. Please deploy your workflow to get a meaningful email verification result.");
        }

        throw error;
      }

      // Handle the verification outcome, if available

      if (job.overview.status === "Completed") {
        if (!resumeUrl) {
          // We are in test mode and the validation just completed in a single request

          return job;
        }

        // TODO: If the validation completed, abort the suspension and return the results
        // Blocked by https://github.com/PipedreamHQ/pipedream/issues/3151

        // We are *not* in test mode and the job is complete: simulate an instantaneous
        // webhook completion callback, as the external one may take a few seconds to
        // fire and we wish to continue the flow as fast as possible.

        return axios($, {
          method: "POST",
          url: resumeUrl,
          data: {
            event: {
              type: "email-validation.completed",
              data: {
                id: job.overview.id,
              },
            },
          },
          returnFullResponse: true,
        });
      }

      // If we are here, the validation is not yet completed and the flow is going to
      // be suspended by Pipedream.
    } else {
      const callbackRequest = run.callback_request;

      // We are only interested in a specific callback type

      if (callbackRequest.body.event.type === "email-validation.completed") {
        // Retrieve and return the job

        const jobId = callbackRequest.body.event.data.id;

        return await this.verifalia.wrapVerifaliaApiInvocation(() => verifaliaClient
          .emailValidations
          .get(jobId));
      }

      // We have just received a callback we weren't waiting for :/

      console.log(callbackRequest);
      throw new Error("An error occurred while processing your request, sorry.");
    }
  },
};

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
VerifaliaverifaliaappThis component uses the Verifalia app.
Email addressemailAddressstring

Enter the email address to verify (e.g. batman@gmail.com)

Quality LevelqualitystringSelect a value from the drop down menu:{ "label": "Standard quality", "value": "standard" }{ "label": "High quality", "value": "high" }{ "label": "Extreme quality", "value": "extreme" }
Data Retention Periodretentionstring

The data retention period to observe for the validation job, expressed in the format dd.hh:mm:ss (where dd: days, hh: hours, mm: minutes, ss: seconds); the initial dd. part is added only for periods of more than 24 hours. The value has a minimum of 5 minutes (0:5:0) and a maximum of 30 days (30.0:0:0): Verifalia will delete the job and its data once its data retention period is over, starting to count when it gets completed.

Action Authentication

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

In order to connect Verifalia with Pipedream, enter your Verifalia username and password below.

  • To learn more about how Verifalia handles authentication, see their documentation.
  • Make sure to use a strong and unique password for Verifalia.

About Verifalia

Verifalia is a fast and accurate email verification service which identifies deliverable, invalid, or otherwise risky email addresses in real-time: it stops bad and low-quality emails getting into your systems, reduces bounce rates and keeps your campaigns deliverable.

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