← Airtable + ManyChat integrations

Add Tag to User with ManyChat API on New or Modified Records from Airtable API

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Trigger workflow on
New or Modified Records from the Airtable API
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Add Tag to User with the ManyChat API
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Getting Started

This integration creates a workflow with a Airtable trigger and ManyChat 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 or Modified Records trigger
    1. Connect your Airtable account
    2. Configure timer
    3. Select a Base
    4. Select a Table
    5. Optional- Select one or more Field IDs
    6. Optional- Configure Return Fields By Field ID
  3. Configure the Add Tag to User action
    1. Connect your ManyChat account
    2. Configure User ID
    3. Select a Tag Id
  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 for each new or modified record in a table
Version:0.0.9
Key:airtable_oauth-new-or-modified-records

Airtable Overview

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Trigger Code

import base from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";
import moment from "moment";

export default {
  ...base,
  name: "New or Modified Records",
  key: "airtable_oauth-new-or-modified-records",
  description: "Emit new event for each new or modified record in a table",
  version: "0.0.9",
  type: "source",
  props: {
    ...base.props,
    tableId: {
      propDefinition: [
        base.props.airtable,
        "tableId",
        ({ baseId }) => ({
          baseId,
        }),
      ],
      description: "The table ID to watch for changes.",
    },
    fieldIds: {
      propDefinition: [
        base.props.airtable,
        "sortFieldId",
        ({
          baseId, tableId,
        }) => ({
          baseId,
          tableId,
        }),
      ],
      type: "string[]",
      label: "Field IDs",
      description: "Identifiers of spedific fields/columns to watch for updates",
      withLabel: true,
    },
    returnFieldsByFieldId: {
      propDefinition: [
        base.props.airtable,
        "returnFieldsByFieldId",
      ],
    },
  },
  methods: {
    ...base.methods,
    _getFieldValues() {
      return this.db.get("fieldValues") || {};
    },
    _setFieldValues(fieldValues) {
      this.db.set("fieldValues", fieldValues);
    },
    updateFieldValues(newFieldValues, record) {
      const fieldKey = this.returnFieldsByFieldId
        ? "value"
        : "label";
      for (const fieldId of this.fieldIds) {
        newFieldValues[record.id] = {
          ...newFieldValues[record.id],
          [fieldId.value]: record.fields[fieldId[fieldKey]] || null,
        };
      }
      return newFieldValues;
    },
    isUpdated(fieldValues, fieldIds, record) {
      const fieldKey = this.returnFieldsByFieldId
        ? "value"
        : "label";
      for (const fieldId of fieldIds) {
        if (!record.fields[fieldId[fieldKey]]) {
          record.fields[fieldId[fieldKey]] = null;
        }
        if (fieldValues[record.id]
          && fieldValues[record.id][fieldId.value] !== undefined
          && record.fields[fieldId[fieldKey]] !== fieldValues[record.id][fieldId.value]
        ) {
          return true;
        }
      }
      return false;
    },
  },
  async run(event) {
    const {
      baseId,
      tableId,
      viewId,
    } = this;

    const lastTimestamp = this._getLastTimestamp();
    const fieldValues = this._getFieldValues();
    const isFirstRunWithFields = this.fieldIds && Object.keys(fieldValues).length === 0;
    const params = {
      returnFieldsByFieldId: this.returnFieldsByFieldId || false,
    };
    if (!isFirstRunWithFields) {
      params.filterByFormula = `LAST_MODIFIED_TIME() > "${lastTimestamp}"`;
    }

    const records = await this.airtable.listRecords({
      baseId,
      tableId,
      params,
    });

    if (!records.length) {
      console.log("No new or modified records.");
      return;
    }

    const metadata = {
      baseId,
      tableId,
      viewId,
    };

    let newRecords = 0, modifiedRecords = 0;
    let newFieldValues = {
      ...fieldValues,
    };
    for (const record of records) {
      if (this.fieldIds) {
        newFieldValues = this.updateFieldValues(newFieldValues, record);
      }
      if (!lastTimestamp || moment(record.createdTime) > moment(lastTimestamp)) {
        record.type = "new_record";
        newRecords++;
      } else {
        if (this.fieldIds
          && (!this.isUpdated(fieldValues, this.fieldIds, record) || isFirstRunWithFields)
        ) {
          continue;
        }
        record.type = "record_modified";
        modifiedRecords++;
      }

      record.metadata = metadata;

      this.$emit(record, {
        summary: `${record.type}: ${JSON.stringify(record.fields)}`,
        id: record.id,
        ts: Date.now(),
      });
    }
    this._setFieldValues(newFieldValues);
    console.log(`Emitted ${newRecords} new records(s) and ${modifiedRecords} modified record(s).`);

    // We keep track of the timestamp of the current invocation
    this.updateLastTimestamp(event);
  },
  sampleEmit,
};

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
AirtableairtableappThis component uses the Airtable app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
BasebaseIdstringSelect a value from the drop down menu.
TabletableIdstringSelect a value from the drop down menu.
Field IDsfieldIdsstring[]Select a value from the drop down menu.
Return Fields By Field IDreturnFieldsByFieldIdboolean

An optional boolean value that lets you return field objects where the key is the field id. This defaults to false, which returns field objects where the key is the field name.

Trigger Authentication

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

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

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

Action

Description:Adds a specific tag to a user specified by their user ID. This action is essential to categorize and filter users based on business-specific parameters. [See the documentation](https://api.manychat.com)
Version:0.0.1
Key:manychat-add-tag-user

ManyChat Overview

The ManyChat API lets you manage and automate conversations in your chatbot, giving you control over user data, tags, and messaging. Integrating ManyChat with Pipedream can supercharge your chatbot workflows, enabling you to connect your ManyChat bot to various apps and services, automate interactions based on triggers, and analyze chatbot data to improve user engagement.

Action Code

import manychat from "../../manychat.app.mjs";

export default {
  key: "manychat-add-tag-user",
  name: "Add Tag to User",
  description: "Adds a specific tag to a user specified by their user ID. This action is essential to categorize and filter users based on business-specific parameters. [See the documentation](https://api.manychat.com)",
  version: "0.0.1",
  type: "action",
  props: {
    manychat,
    userId: {
      propDefinition: [
        manychat,
        "userId",
      ],
    },
    tagId: {
      propDefinition: [
        manychat,
        "tagId",
      ],
      withLabel: true,
    },
  },
  async run({ $ }) {
    const response = await this.manychat.addTag({
      data: {
        subscriber_id: this.userId,
        tag_id: this.tagId.value,
      },
    });

    $.export("$summary", `Successfully added tag "${this.tagId.label}" to user with ID: ${this.userId}`);
    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
ManyChatmanychatappThis component uses the ManyChat app.
User IDuserIdstring

The ID of the user.

Tag IdtagIdstringSelect a value from the drop down menu.

Action Authentication

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

Please note that you must be on a Pro account or higher in order to create an API Key.

About ManyChat

Grow your business with ChatMarketing today. Connect with customers via Messenger, SMS, Email, or IG using ManyChat.

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