Verify List of Email Address with Verifalia API on New Row Added from Supabase API

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New Row Added from the Supabase API

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Verify List of Email Address with the Verifalia API

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Getting Started#

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

Select this integration
Configure the New Row Added trigger
1. Connect your Supabase account
2. Configure Table
3. Optional- Configure Row Identifier
4. Optional- Configure Column
5. Optional- Select a Filter
6. Optional- Configure Value
7. Configure Order By
8. Optional- Select a Sort Order
9. Configure timer
Configure the Verify List of Email Address action
1. Connect your Verifalia account
2. Configure Email Addresses
3. Optional- Select a Quality Level
4. Optional- Configure Data Retention Period
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 Row Added on Supabase

Description:Emit new event for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)

Version:0.0.4

Key:supabase-new-row-added

View on GitHub

Supabase Overview#

Supabase is a real-time backend-as-a-service that provides developers with a suite of tools to quickly build and scale their applications. It offers database storage, authentication, instant APIs, and real-time subscriptions. With the Supabase API, you can perform CRUD operations on your database, manage users, and listen to database changes in real time. When integrated with Pipedream, you can automate workflows that react to these database events, synchronize data across multiple services, or streamline user management processes.

Trigger Code#

import base from "../common/base.mjs";
import {
  DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
  ConfigurationError,
} from "@pipedream/platform";
import constants from "../../common/constants.mjs";

export default {
  key: "supabase-new-row-added",
  name: "New Row Added",
  description: "Emit new event for every new row added in a table. [See documentation here](https://supabase.com/docs/reference/javascript/select)",
  version: "0.0.4",
  type: "source",
  props: {
    ...base.props,
    column: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      optional: true,
    },
    filter: {
      propDefinition: [
        base.props.supabase,
        "filter",
      ],
      optional: true,
    },
    value: {
      propDefinition: [
        base.props.supabase,
        "value",
      ],
      optional: true,
    },
    orderBy: {
      propDefinition: [
        base.props.supabase,
        "column",
      ],
      label: "Order By",
      description: "Column name to order by",
    },
    sortOrder: {
      propDefinition: [
        base.props.supabase,
        "sortOrder",
      ],
    },
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getOffset() {
      return this.db.get("offset") || 0;
    },
    _setOffset(offset) {
      this.db.set("offset", offset);
    },
  },
  async run() {
    const {
      table,
      column,
      filter,
      value,
      orderBy,
      sortOrder,
      rowIdentifier,
    } = this;

    if ((column || filter || value) && !(column && filter && value)) {
      throw new ConfigurationError("If `column`, `filter`, or `value` is used, all three must be entered");
    }

    const offset = this._getOffset();
    const client = await this.supabase._client();
    const query = client
      .from(table)
      .select()
      .order(orderBy, {
        ascending: sortOrder,
      })
      .range(offset, offset + constants.MAX_OFFSET);

    if (filter) {
      const filterMethod = this.supabase[filter];
      filterMethod(query, column, value);
    }

    const { data } = await query;
    this._setOffset(offset + data.length);

    for (const row of data) {
      let summary = "New row in table";
      if (row[rowIdentifier]) {
        summary = `${summary}: ${row[rowIdentifier]}`;
      }
      this.$emit(row, {
        summary,
      });
    }
  },
};

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
Supabase	`supabase`	`app`	This component uses the Supabase app.
Table	`table`	`string`	The name of the table to watch for new rows
Row Identifier	`rowIdentifier`	`string`	The column name to use as the row identifier
Column	`column`	`string`	Column name to search by
Filter	`filter`	`string`	Select a value from the drop down menu:`{ "label": "Equal", "value": "equalTo" }{ "label": "Not Equal", "value": "notEqualTo" }{ "label": "Greater Than", "value": "greaterThan" }{ "label": "Greater Than or Equal To", "value": "greaterThanOrEqualTo" }{ "label": "Less Than", "value": "lessThan" }{ "label": "Less Than or Equal To", "value": "lessThanOrEqualTo" }{ "label": "Contains (Case Sensitive)", "value": "patternMatch" }{ "label": "Contains (Case Insensitive)", "value": "patternMatchCaseInsensitive" }`
Value	`value`	`string`	Value of the column specified to search for
Order By	`orderBy`	`string`	Column name to order by
Sort Order	`sortOrder`	`string`	Select a value from the drop down menu:`ascendingdescending`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

Supabase provides a Service Key to get started. You can find the service_role in the API Settings page.

Finding the Supabase subdomain

About Supabase#

Supabase is an open source Firebase alternative.

Action#

Verify List of Email Address on Verifalia

Description:Verify a list of 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:0.1.0

Key:verifalia-verify-list-emails

View on GitHub

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 List of Email Address",
  description: "Verify a list of 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-list-emails",
  version: "0.1.0",
  type: "action",
  props: {
    verifalia,
    emailAddresses: {
      type: "string[]",
      label: "Email Addresses",
      description: "Enter a list of 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 {
        const parsedEmails = !Array.isArray(this.emailAddresses)
          ? JSON.parse(this.emailAddresses)
          : this.emailAddresses;

        const formattedEmails = parsedEmails.map((emailAddress) => ({
          inputData: emailAddress,
        }));

        job = await this.verifalia.wrapVerifaliaApiInvocation(async () => {
          return await verifaliaClient
            .emailValidations
            .submit({
              quality: this.quality,
              entries: formattedEmails,
              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.

Label	Prop	Type	Description
Verifalia	`verifalia`	`app`	This component uses the Verifalia app.
Email Addresses	`emailAddresses`	`string[]`	Enter a list of email address to verify (e.g. `batman@gmail.com`)
Quality Level	`quality`	`string`	Select a value from the drop down menu:`{ "label": "Standard quality", "value": "standard" }{ "label": "High quality", "value": "high" }{ "label": "Extreme quality", "value": "extreme" }`
Data Retention Period	`retention`	`string`	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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