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tool created to help a marketing startup find and validate potential customers by evaluating Ads on google

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Google Ads Scrapper

Table of Contents

  1. Overview
  2. Installation
  3. Configuration
  4. Usage
  5. Contributing
  6. License
  7. Contact

Overview

This repository contains a Python script designed to scrape Google Ads data and integrate it with Google Sheets. It's a powerful tool for marketing prospecting.

Installation

Clone the Repository

git clone https://github.com/engineergomes/google-ads-scrapper.git

Install Dependencies

pip install -r requirements.txt

Configuration

Google Service Account

  • Navigate to the Google Cloud Console.
  • Set up a Google Service Account for your project.
  • Download the generated JSON key file for your Service Account.
  • Rename the downloaded JSON file to client_secret.json.
  • Add this renamed file to the bot folder.

Google Sheets

  • Create two tabs in your Google Sheets document: "Key Words" and "General."
  • In the "Key Words" tab, list the words you want to search for in your Google Ads campaigns.
  • In the "General" tab, structure your data as per the instructions in the previous README.

Usage

Run the Script

python main.py

Data Analysis

  • The script will populate the Google Sheets with scraped data.
  • You can analyze this data to identify potential clients who may benefit from your marketing services.

Contributing

If you would like to contribute, please fork the repository and submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any queries, please open an issue in the GitHub repository.

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tool created to help a marketing startup find and validate potential customers by evaluating Ads on google

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