← Google Ads + Geckoboard integrations

Append to Dataset with Geckoboard API on New Lead Form Entry from Google Ads API

Pipedream makes it easy to connect APIs for Geckoboard, Google Ads and 2,700+ other apps remarkably fast.

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New Lead Form Entry from the Google Ads API
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Append to Dataset with the Geckoboard API
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Developers Pipedream

Getting Started

This integration creates a workflow with a Google Ads trigger and Geckoboard 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 Lead Form Entry trigger
    1. Connect your Google Ads account
    2. Select a Use Google Ads As
    3. Optional- Select a Managed Account
    4. Configure timer
    5. Select a Lead Form ID
    6. Configure docsAlert
  3. Configure the Append to Dataset action
    1. Connect your Geckoboard account
    2. Select a Dataset 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 new leads on a Lead Form. [See the documentation](https://developers.google.com/google-ads/api/fields/v18/lead_form_submission_data)
Version:0.0.4
Key:google_ads-new-lead-form-entry

The Google Ads API lets you programmatically manage your Google Ads data and
campaigns. You can use the API to automate common tasks, such as:

  • Creating and managing campaigns
  • Adding and removing keywords
  • Adjusting bids

You can also use the API to get information about your campaigns, such as:

  • Campaign stats
  • Keyword stats
  • Ad performance

The Google Ads API is a powerful tool that lets you manage your Google Ads data
and campaigns programmatically. With the API, you can automate common tasks,
such as creating and managing campaigns, adding and removing keywords, and
adjusting bids. You can also use the API to get information about your
campaigns, such as campaign stats, keyword stats, and ad performance.

Customizing API requests from within the Pipedream workflow builder

The Pipedream components interact with Google Ads API through an interal proxy service, which protects Pipedream's developer token.

The component accepts a standard Google Ads API request object with the following structure:

const googleAdsReq = {
  method: "get|post|put|delete", // HTTP method
  url: "/v18/...", // Google Ads API endpoint path
  headers: {
    Authorization: `Bearer ${this.googleAds.$auth.oauth_access_token}`,
  },
  data: {}, // Optional request body for POST/PUT requests
};

To make different API calls while using the proxy:

  1. Modify the url path to match your desired Google Ads API endpoint
  2. Update the method to match the required HTTP method
  3. Add any necessary request body data in the data field
  4. Include any required headers (Authorization is automatically included)

Example for a custom query:

const googleAdsReq = {
  method: "post",
  url: "/v16/customers/1234567890/googleAds:search",
  headers: {
    Authorization: `Bearer ${this.googleAds.$auth.oauth_access_token}`,
  },
  data: {
    query: "SELECT campaign.id, campaign.name FROM campaign",
  },
};

The proxy endpoint will remain the same: https://googleads.m.pipedream.net

Using Google Ads with the Connect API Proxy

To interface with Google Ads via the Connect API Proxy, you need to nest the request like this:

Important notes:

  • The upstream URL in this case is Pipedream's proxy service for Google Ads: https://googleads.m.pipedream.net
  • Like in the above examples, you'll define the Google Ads URL with the url param in the body
  • The method to the Connect Proxy should always be a POST, since it's actually targeting the Google Ads proxy (you can define the method for the Google Ads request in options.body.method)

Using the Pipedream SDK

const pd = createBackendClient({
  apiHost: process.env.API_HOST,
  credentials: {
    clientId: process.env.CLIENT_ID,
    clientSecret: process.env.CLIENT_SECRET,
  },
  environment: process.env.ENVIRONMENT,
  projectId: process.env.PROJECT_ID,
});

const pdGoogleAdsUrl = "https://googleads.m.pipedream.net";

const resp = await pd.makeProxyRequest(
  {
    searchParams: {
      external_user_id: process.env.EXTERNAL_USER_ID,
      account_id: process.env.ACCOUNT_ID,
    },
  },
  {
    url: pdGoogleAdsUrl,
    options: {
      method: "POST",
      body: {
        url: "/v19/customers:listAccessibleCustomers",
        method: "GET",
        // data: {} // If you need to send a body with a POST request, define it here
      },
    },
  }
);

Using the Connect REST API

  • Remember to use the Base64 encoded Pipedream endpoint for Google Ads: https://googleads.m.pipedream.net
curl -X POST "https://api.pipedream.com/v1/connect/{your_project_id}/proxy/{url_safe_base64_encoded_url}?external_user_id={external_user_id}&account_id={apn_xxxxxxx}" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: {development | production}" \
  -d '{
    "url": "/v19/customers:listAccessibleCustomers",
    "method": "GET",
    # "data": {} # If you need to send a body with a POST request, define it here
  }'

Trigger Code

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

const { googleAds } = common.props;

export default {
  ...common,
  key: "google_ads-new-lead-form-entry",
  name: "New Lead Form Entry",
  description: "Emit new event for new leads on a Lead Form. [See the documentation](https://developers.google.com/google-ads/api/fields/v18/lead_form_submission_data)",
  version: "0.0.4",
  type: "source",
  dedupe: "unique",
  sampleEmit,
  props: {
    ...common.props,
    leadFormId: {
      propDefinition: [
        googleAds,
        "leadFormId",
        (({
          accountId, customerClientId,
        }) => ({
          accountId,
          customerClientId,
        })),
      ],
    },
    docsAlert: {
      type: "alert",
      alertType: "info",
      content: "If needed, see Google's documentation on [submission fields](https://developers.google.com/google-ads/api/reference/rpc/v18/LeadFormSubmissionField) and [custom submission fields](https://developers.google.com/google-ads/api/reference/rpc/v18/CustomLeadFormSubmissionField).",
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New Lead";
    },
    getItems() {
      const {
        accountId, customerClientId, leadFormId,
      } = this;
      return this.googleAds.getLeadFormData({
        accountId,
        customerClientId,
        leadFormId,
      });
    },
  },
};

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
Google AdsgoogleAdsappThis component uses the Google Ads app.
Use Google Ads AsaccountIdstringSelect a value from the drop down menu.
Managed AccountcustomerClientIdstringSelect a value from the drop down menu.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Lead Form IDleadFormIdstringSelect a value from the drop down menu.

Trigger Authentication

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

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

emailprofilehttps://www.googleapis.com/auth/adwords

About Google Ads

Reach customers wherever they are. Show up at the right time and place across the vast Google Ads ecosystem.

Action

Description:Append data to the specified dataset. [See the documentation](https://developer.geckoboard.com/?#append-data-to-a-dataset)
Version:0.0.1
Key:geckoboard-append-to-dataset

Geckoboard Overview

The Geckoboard API grants you the power to craft custom dashboards that display key metrics and performance indicators for your business. With this API, you can push data to widgets, create and manage dashboards, and automate the sharing of insightful data visualizations. When leveraged through Pipedream, you can build workflows that connect Geckoboard with various other apps, enabling real-time data updates, integrating with your current tools, and powering automated reporting processes.

Action Code

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

export default {
  key: "geckoboard-append-to-dataset",
  name: "Append to Dataset",
  description: "Append data to the specified dataset. [See the documentation](https://developer.geckoboard.com/?#append-data-to-a-dataset)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    datasetId: {
      propDefinition: [
        app,
        "datasetId",
      ],
      reloadProps: true,
    },
  },

  async additionalProps(existingProps) {
    const datasetId = this.datasetId?.value || this.datasetId;
    const datasets = await this.app.getDatasets();

    const dataset = datasets.data.find((d) => d.id === datasetId);
    if (!dataset) return existingProps;

    const props = {};
    for (const [
      key,
      field,
    ] of Object.entries(dataset.fields)) {
      props[key] = {
        type: "string",
        label: field.name,
        optional: field.optional,
      };
    }

    return props;
  },

  async run({ $ }) {
    const data = {};

    for (const key of Object.keys(this)) {
      if (![
        "app",
        "datasetId",
      ].includes(key)) {
        let value = this[key];

        if (!isNaN(value)) {
          value = parseFloat(value);
        }

        data[key] = value;
      }
    }

    const response = await this.app.appendToDataset({
      $,
      datasetId: this.datasetId,
      data: {
        data: [
          data,
        ],
      },
    });

    $.export("$summary", "Successfully appended data to dataset");
    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
GeckoboardappappThis component uses the Geckoboard app.
Dataset IddatasetIdstringSelect a value from the drop down menu.

Action Authentication

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

To connect Pipedream with your Geckoboard account,

  1. Sign in to your Geckboard account
  2. Copy your API Key from the top right corner under Account

About Geckoboard

Communicate, don't complicate. We help teams & businesses share data, metrics and KPIs in a way anyone can understand.

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