📍 Instagram Scraper via Google Maps

A desktop automation tool that finds local businesses on Google Maps and extracts their Instagram presence — exported clean into CSV.

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📖 Overview

This tool automates the process of finding local businesses through Google Maps and extracting their Instagram profile links. Simply enter a location and your target business categories — the tool handles the rest and delivers structured data in a ready-to-use CSV file.

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✨ Features

• 🗺️ Searches Google Maps automatically based on your input
• 🏪 Supports multiple business categories (domains) in one run
• 🔗 Extracts Instagram profile links from business websites
• 📊 Exports all results to a clean CSV file
• 🖥️ Simple graphical interface — no terminal needed after launch

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⚙️ How It Works

User Input (Area + Domains)
        ↓
Search Queries Generated
  e.g. "restaurant near Lahore"
        ↓
Google Maps Searched for Each Query
        ↓
For Each Business Found:
  ├─ Business name collected
  ├─ Google Maps listing saved
  ├─ Website visited (if available)
  └─ Instagram profile link extracted
        ↓
All Data Exported → output/results.csv

Example Queries Generated

Area	Domain	Query Sent to Google Maps
Lahore	restaurant	restaurant near Lahore
DHA Karachi	salon	salon near DHA Karachi
Islamabad	gym	gym near Islamabad

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🖥️ User Interface

The app uses a simple GUI — no command-line interaction required after launch.

1. Enter your target area (city, region, or neighborhood)
2. Click Edit Domains to add or remove business categories
3. Click Start to begin scraping
4. Wait for the process to complete
5. Find your CSV file auto-generated in the output/ folder

Supported domain examples: restaurant, cafe, salon, gym, cleaner, pharmacy, and more.

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🚀 Installation

Prerequisites

• Python 3.9 or higher
• Google Chrome (latest version)
• Active internet connection

Setup

# 1. Clone the repository
git clone https://github.com/your-username/your-repo-name.git

# 2. Navigate into the project
cd your-repo-name

# 3. Install dependencies
pip install -r requirements.txt

Run

python main.py

The graphical interface will launch automatically.

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📁 Project Structure

your-repo-name/
├── output/                 # Generated CSV files saved here
├── main.py                 # Entry point & GUI
├── scraper.py              # Core scraping logic
├── requirements.txt        # Python dependencies
└── README.md

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📋 Output Format

Results are saved as a .csv file with the following columns:

Column	Description
Business Name	Name of the business
Google Maps URL	Direct link to the Maps listing
Website	Business website (if available)
Instagram	Extracted Instagram profile link

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⚠️ Notes & Limitations

• Some businesses may not have a website or Instagram profile — those fields will be left blank
• Results depend on Google Maps data availability and website structure
• Scraping speed may vary based on internet connection and page load times
• Use responsibly and in accordance with Google Maps' Terms of Service

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👤 Author

Made with 🖤 by Farisxdev

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Found this useful? Drop a ⭐ on GitHub — it helps a lot!