Integrate Google Ads Keyword Planner into a custom GPT -- 2

I'm seeking a developer to integrate the Google Ads Keyword Planner into my custom GPT. This project will involve: - Integration of the Google Ads Keyword Planner API into my custom GPT. - Ensuring the GPT is able to effectively utilize the keyword data provided by the Google Ads Keyword Planner. - Testing the integrated system to guarantee its functionality and efficiency. The ideal candidate should have experience in: - Developing or working with GPTs and AI systems. - Proficiency in API integration, particularly with Google Ads Keyword Planner. - Strong understanding of keyword analysis and its application in content creation and ad targeting. Please provide examples of similar projects you've completed. To add a custom GPT to your ChatGPT account and integrate it with the Google Ads Keyword Planner, follow these detailed steps: Step 1: Set Up OpenAI Account and API Access Create an OpenAI Account: Go to OpenAI and click on "Sign Up". Fill out the registration form with your email, password, and other required information. Verify your email by clicking the link sent to your email address. Obtain API Key: Log in to your OpenAI account. Navigate to the API section of the OpenAI dashboard by clicking on your profile icon and selecting "API" or "API Keys". Click on "Create New API Key". Copy the API key that is generated. You will need this key to authenticate your API requests. Step 2: Set Up Google Ads API Create Google Ads Account: Go to Google Ads and sign up for an account if you don't have one. Follow the on-screen instructions to set up your account. Enable Google Ads API: a. Create a Google Cloud Project: Go to the Google Cloud Console. Click on the Select a project dropdown at the top of the page. Click on New Project. Enter a name for your project and click Create. b. Enable the Google Ads API: Once the project is created, select it from the dropdown menu. Navigate to API & Services > Library. Search for Google Ads API and click on it. Click Enable. Create OAuth2 Credentials: a. Configure OAuth Consent Screen: In the Google Cloud Console, navigate to API & Services > Credentials. Click on Create Credentials and select OAuth 2.0 Client ID. If prompted, configure the consent screen: Select External. Fill out the required fields and save. b. Create OAuth2 Client ID: After configuring the consent screen, you will be redirected to create OAuth 2.0 credentials. Select Application type as Web application. Name your OAuth 2.0 client (e.g., "My Google Ads App"). In the Authorized redirect URIs field, add http://localhost. Click Create. Copy the Client ID and Client Secret. Obtain Refresh Token: a. Use OAuth2 Playground: Go to the OAuth2 Playground. Click on the gear icon (settings) in the top right corner. Check the box for Use your own OAuth credentials. Enter your Client ID and Client Secret obtained from the previous step. Click Close. b. Authorize APIs: In the left pane, scroll down and find Google Ads API v10. Check the box for [login to view URL] and click Authorize APIs. Click Exchange authorization code for tokens. Copy the Refresh Token. Create Configuration File: a. Create a YAML File: Open a text editor (e.g., Notepad, VS Code). Create a new file and name it google-ads.yaml. Add the following content to the file, replacing placeholders with your actual values: yaml Copy code developer_token: 'INSERT_YOUR_DEVELOPER_TOKEN_HERE' client_id: 'INSERT_YOUR_CLIENT_ID_HERE' client_secret: 'INSERT_YOUR_CLIENT_SECRET_HERE' refresh_token: 'INSERT_YOUR_REFRESH_TOKEN_HERE' Save the file in your working directory. Step 3: Create a Custom GPT with OpenAI API Install Required Libraries: Open your command prompt or terminal and type the following commands to install the necessary Python libraries: sh Copy code pip install openai google-ads Write the Script: Create a new Python file named [login to view URL] in your working directory and add the following code: python Copy code import openai import [login to view URL] # Set up OpenAI API openai.api_key = 'YOUR_OPENAI_API_KEY' # Initialize Google Ads API client client = google.ads.google_ads.client.GoogleAdsClient.load_from_storage('[login to view URL]') def get_keyword_ideas(client, customer_id, keyword_text): ga_service = client.get_service("GoogleAdsService") query = f""" SELECT [login to view URL], metrics.average_monthly_searches, [login to view URL] FROM keyword_plan_campaign_criterion WHERE [login to view URL] = '{keyword_text}' """ response = [login to view URL](customer_id=customer_id, query=query) return format_keyword_ideas(response) def format_keyword_ideas(response): keyword_ideas = [] for row in response: keyword = [login to view URL] avg_searches = row.metrics.average_monthly_searches competition = [login to view URL] [login to view URL]({ 'keyword': keyword, 'average_monthly_searches': avg_searches, 'competition': competition }) return keyword_ideas def generate_gpt_response(prompt): response = [login to view URL]( engine="davinci", prompt=prompt, max_tokens=150 ) return [login to view URL][0].[login to view URL]() # Example usage customer_id = 'YOUR_GOOGLE_ADS_CUSTOMER_ID' keyword_text = 'example keyword' keyword_ideas = get_keyword_ideas(client, customer_id, keyword_text) prompt = f"Keyword ideas for '{keyword_text}': {keyword_ideas}" gpt_response = generate_gpt_response(prompt) print(gpt_response) Step 4: Adding a Custom GPT to ChatGPT Log in to ChatGPT: Go to ChatGPT and log in to your account. Navigate to the GPTs Section: Click on your profile icon in the top-right corner. Select "Custom GPTs" from the dropdown menu. Create a New Custom GPT: Click on the "Create Custom GPT" button. Follow the prompts to configure your custom GPT: Name: Give your GPT a descriptive name (e.g., "Google Ads Keyword Planner"). Description: Describe what your GPT does (e.g., "Fetches keyword ideas from Google Ads and provides insights"). API Integration: Provide the API endpoint where your script is hosted (you may need to deploy your script on a platform like Heroku, AWS, or any other hosting service). Configure the GPT: Define the input fields that users will interact with (e.g., a text field for entering keywords). Specify how the GPT should handle the input and call your API. Customize the response format to display the keyword ideas fetched from Google Ads. Deploy Your Custom GPT: Save and deploy your custom GPT. Test it by entering a keyword and verifying that it fetches and displays keyword ideas as expected. By following these detailed steps, you can create and add a custom GPT to your ChatGPT account, integrating it with the Google Ads Keyword Planner to fetch and provide keyword data. If you encounter any issues or need further clarification, feel free to ask!