← Twilio SendGrid + Faraday integrations

Predict with Faraday API on New Contact from Twilio SendGrid API

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New Contact from the Twilio SendGrid API
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Predict with the Faraday API
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Getting Started

This integration creates a workflow with a Twilio SendGrid trigger and Faraday 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 Contact trigger
    1. Connect your Twilio SendGrid account
    2. Configure timer
  3. Configure the Predict action
    1. Connect your Faraday account
    2. Configure alert
    3. Select a Target ID
    4. Optional- Configure Email
    5. Optional- Configure Phone
    6. Optional- Configure First Name
    7. Optional- Configure Last Name
    8. Optional- Configure Street Address
    9. Optional- Configure City
    10. Optional- Configure State
    11. Optional- Configure Postcode
  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 a new contact is created
Version:0.0.6
Key:sendgrid-new-contact

Twilio SendGrid Overview

The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.

Trigger Code

import orderBy from "lodash/orderBy.js";
import common from "../common/timer-based.mjs";

export default {
  ...common,
  key: "sendgrid-new-contact",
  name: "New Contact",
  description: "Emit new event when a new contact is created",
  version: "0.0.6",
  type: "source",
  dedupe: "unique",
  hooks: {
    async activate() {
      const currentTimestamp = Date.now();
      const state = {
        processedItems: [],
        lowerTimestamp: currentTimestamp,
        upperTimestamp: currentTimestamp,
      };
      this.db.set("state", state);
    },
  },
  methods: {
    ...common.methods,
    _maxDelayTime() {
      // There is no report from SendGrid as to how much time it takes
      // for a contact to be created and appear in search results, so
      // we're using a rough estimate of 30 minutes here.
      return 30 * 60 * 1000;  // 30 minutes, in milliseconds
    },
    _addDelayOffset(timestamp) {
      return timestamp - this._maxDelayTime();
    },
    _cleanupOldProcessedItems(processedItems, currentTimestamp) {
      return processedItems
        .map((item) => ({
          // We just need to keep track of the record ID and
          // its creation date.
          id: item.id,
          created_at: item.created_at,
        }))
        .filter((item) => {
          const { created_at: createdAt } = item;
          const createdAtTimestamp = Date.parse(createdAt);
          const cutoffTimestamp = this._addDelayOffset(currentTimestamp);
          return createdAtTimestamp > cutoffTimestamp;
        });
    },
    _makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp) {
      const idList = processedItems
        .map((item) => item.id)
        .map((id) => `'${id}'`)
        .join(", ")
      || "''";
      const startTimestamp = this._addDelayOffset(lowerTimestamp);
      const startDate = this.toISOString(startTimestamp);
      const endDate = this.toISOString(upperTimestamp);
      return `
        contact_id NOT IN (${idList}) AND
        created_at BETWEEN
          TIMESTAMP '${startDate}' AND
          TIMESTAMP '${endDate}'
      `;
    },
    generateMeta(data) {
      const {
        item,
        eventTimestamp: ts,
      } = data;
      const {
        id,
        email,
      } = item;
      const slugifiedEmail = this.slugifyEmail(email);
      const summary = `New contact: ${slugifiedEmail}`;
      return {
        id,
        summary,
        ts,
      };
    },
    async processEvent(event) {
      // Transform the timer timestamp to milliseconds
      // to be consistent with how Javascript handles timestamps.
      const eventTimestamp = event.timestamp * 1000;

      // Retrieve the current state of the component.
      const {
        processedItems,
        lowerTimestamp,
        upperTimestamp,
      } = this.db.get("state");

      // Search for contacts within a specific timeframe, excluding
      // items that have already been processed.
      const query = this._makeSearchQuery(processedItems, lowerTimestamp, upperTimestamp);
      const {
        result: items,
        contact_count: contactCount,
      } = await this.sendgrid.searchContacts(query);

      // If no contacts have been retrieved via the API,
      // move the time window forward to possibly capture newer contacts.
      if (contactCount === 0) {
        const newState = {
          processedItems: this._cleanupOldProcessedItems(processedItems, lowerTimestamp),
          lowerTimestamp: upperTimestamp,
          upperTimestamp: eventTimestamp,
        };
        this.db.set("state", newState);
        return;
      }

      // We process the searched records from oldest to newest.
      const itemsToProcess = orderBy(items, "created_at");
      itemsToProcess
        .forEach((item) => {
          const meta = this.generateMeta({
            item,
            eventTimestamp,
          });
          this.$emit(item, meta);
        });

      // Use the timestamp of the last processed record as a lower bound for
      // following searches. This bound will be subjected to an offset so in
      // case older records appear in future search results, but have not
      // appeared until now, can be processed. We only adjust it if it means
      // moving forward, not backwards. Otherwise, we might start retrieving
      // older and older records indefinitely (and we're all about *new*
      // records!)
      const newLowerTimestamp = Math.max(
        lowerTimestamp,
        Date.parse(itemsToProcess[0].created_at),
      );

      // If the total contact count is less than 100, it means that during the
      // next iteration the search results count will most likely be less than
      // 50. In that case, if we extend the upper bound of the search time range
      // we might be able to retrieve more records.
      const newUpperTimestamp = contactCount < 100
        ? eventTimestamp
        : upperTimestamp;

      // The list of processed items can grow indefinitely.
      // Since we don't want to keep track of every processed record
      // ever, we need to clean up this list, removing any records
      // that are no longer relevant.
      const newProcessedItems = this._cleanupOldProcessedItems(
        [
          ...processedItems,
          ...itemsToProcess,
        ],
        newLowerTimestamp,
      );

      // Update the state of the component to reflect the computations
      // made above.
      const newState = {
        processedItems: newProcessedItems,
        lowerTimestamp: newLowerTimestamp,
        upperTimestamp: newUpperTimestamp,
      };
      this.db.set("state", newState);
    },
  },
};

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
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Twilio SendGridsendgridappThis component uses the Twilio SendGrid app.
timer$.interface.timer

Trigger Authentication

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

About Twilio SendGrid

Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.

Action

Description:Returns a prediction about a single person. [See the documentation](https://faraday.ai/developers/reference/lookupontarget)
Version:0.0.1
Key:faraday-predict

Faraday Overview

The Faraday API empowers users to harness rich consumer data and predictive analytics for personalized marketing and strategic insights. On Pipedream, you can tap into this potential by creating workflows that trigger based on various events or schedules, process data with Faraday's capabilities, and then take actions – all without managing server infrastructure. Streamline customer interactions, forecast trends, and enrich contact lists by integrating other services for a seamless data-driven ecosystem.

Action Code

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

export default {
  key: "faraday-predict",
  name: "Predict",
  description: "Returns a prediction about a single person. [See the documentation](https://faraday.ai/developers/reference/lookupontarget)",
  version: "0.0.1",
  type: "action",
  props: {
    faraday,
    alert: {
      type: "alert",
      alertType: "info",
      content: `You must provide at least one of the following combinations to retrieve a match:
        - address + city + state
        - email
        - phone + lastName
      `,
    },
    targetId: {
      propDefinition: [
        faraday,
        "targetId",
      ],
    },
    email: {
      type: "string",
      label: "Email",
      description: "The person's email address",
      optional: true,
    },
    phone: {
      type: "string",
      label: "Phone",
      description: "The person's phone number",
      optional: true,
    },
    firstName: {
      type: "string",
      label: "First Name",
      description: "The person's first name",
      optional: true,
    },
    lastName: {
      type: "string",
      label: "Last Name",
      description: "The person's last name",
      optional: true,
    },
    address: {
      type: "string",
      label: "Street Address",
      description: "The person's street address",
      optional: true,
    },
    city: {
      type: "string",
      label: "City",
      description: "The person's city",
      optional: true,
    },
    state: {
      type: "string",
      label: "State",
      description: "The person's state",
      optional: true,
    },
    postcode: {
      type: "string",
      label: "Postcode",
      description: "The person's postcode",
      optional: true,
    },
  },
  async run({ $ }) {
    if (
      !this.email
      && !(this.address && this.city && this.state)
      && !(this.phone && this.lastName)
    ) {
      throw new ConfigurationError("You must provide at least one of the following combinations to retrieve a match: (address + city + state), (email), or (phone + lastName)");
    }

    const response = await this.faraday.generatePrediction({
      $,
      targetId: this.targetId,
      data: {
        email: this.email,
        phone: this.phone,
        person_first_name: this.firstName,
        person_last_name: this.lastName,
        house_number_and_street: this.address,
        city: this.city,
        state: this.state,
        postcode: this.postcode,
      },
    });
    $.export("$summary", "Prediction generated successfully");
    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
FaradayfaradayappThis component uses the Faraday app.
Target IDtargetIdstringSelect a value from the drop down menu.
Emailemailstring

The person's email address

Phonephonestring

The person's phone number

First NamefirstNamestring

The person's first name

Last NamelastNamestring

The person's last name

Street Addressaddressstring

The person's street address

Citycitystring

The person's city

Statestatestring

The person's state

Postcodepostcodestring

The person's postcode

Action Authentication

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

About Faraday

Faraday lets you embed AI in workflows throughout your stack—to make your favorite tools perform even better

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