What do you want to automate

with Google Ads and Claid AI?

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
  }'

Claid AI API provides tools for image enhancement, including resizing, cropping, increasing resolution, and optimizing for web use. It's suitable for automating image processing tasks in applications like e-commerce, real estate, and content management. On Pipedream, you can create serverless workflows that use the Claid AI API to process images in response to various triggers, such as new file uploads or webhooks, and then pass the processed images to other services or store them.