Google Autosuggestion Scraper | Q1 Solution

Overview

This repository contains a Python script for scraping Google Autosuggestions. It was developed as part of the 4Beats INTERN TA & DevOps screening.

Author: Alina Hasan

Prerequisites

Python: Ensure you have Python installed on your system.
Firefox Browser: The script uses Firefox as the browser for automation.
Geckodriver: The script requires geckodriver to interface with Firefox. Ensure geckodriver is located in the same directory as the script or is in your system PATH.

Libraries

Selenium: For web automation and scraping.
openpyxl: For handling Excel files.
Pandas: For handling tabular data and performing operations on Excel sheets.

Setup

Install Dependencies: Install the required Python libraries using pip:
```
pip install selenium openpyxl pandas
```
Download Geckodriver:
- Download the appropriate version of geckodriver for your operating system from Geckodriver Releases.
  
  A Gecko release is available in the 'Setup' folder of this repository.
- Place geckodriver in the same directory as the script or add it to your system PATH.
Firefox Installation:
- Ensure Firefox is installed on your system.
  
  A Firefox Installer is available in the 'Setup' folder of this repository.
Run Script:
- Either, open the provided Jupyter Notebook file in a Jupyter environment to run the script. The notebook demonstrates the functionality and provides instructions for use.
- Or, run the Python file in a Python environment.