https://github.com/steadyxlr8/googlemapsscrapper
The GoogleMapsScrapper aims to extract valuable business and location data from Google Maps to support market research, lead generation, and competitive analysis. This project will automate the process of gathering details such as business names, addresses, phone numbers and link to the relevant info.
https://github.com/steadyxlr8/googlemapsscrapper
googlemaps python3 selenium-python
Last synced: 6 months ago
JSON representation
The GoogleMapsScrapper aims to extract valuable business and location data from Google Maps to support market research, lead generation, and competitive analysis. This project will automate the process of gathering details such as business names, addresses, phone numbers and link to the relevant info.
- Host: GitHub
- URL: https://github.com/steadyxlr8/googlemapsscrapper
- Owner: SteadyXLR8
- License: apache-2.0
- Created: 2025-02-07T06:14:51.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-12T14:48:11.000Z (about 1 year ago)
- Last Synced: 2025-04-05T18:13:41.338Z (11 months ago)
- Topics: googlemaps, python3, selenium-python
- Language: Python
- Homepage:
- Size: 30.3 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Google Maps Scraping Project (Python, Selenium & Pandas)
## 📌 Project Overview
The **Google Maps Scraping Project** is a Python-based tool that automates the extraction of business and location data from Google Maps. Using **Selenium** for web automation and **Pandas** for data processing, this project enables users to collect valuable business insights, including names, addresses, phone numbers, ratings, and reviews. The extracted data can be used for market research, lead generation, and competitive analysis.
## 🎯 Features
- **Automated Data Extraction:**
- Business Name
- Address
- Phone Number
- Website URL
- Ratings & Reviews
- Opening Hours
- Business Category
- **Search Query Input:** Define search parameters (e.g., "coffee shops in New York").
- **Data Processing & Storage:**
- Uses **Pandas** to clean, filter, and structure data.
- Exports results to **CSV, JSON**, or stores them in an **SQLite/PostgreSQL database**.
- **Error Handling & Anti-Detection Measures:**
- Implements **randomized delays, user-agent rotation,** and **headless browsing**.
- **Data Visualization (Optional):** Generate summary insights using **Matplotlib/Seaborn**.
## 🛠 Tech Stack
- **Python** – Core programming language
- **Selenium** – Web automation for navigating Google Maps
- **Pandas** – Data processing and analysis
- **BeautifulSoup (Optional)** – Parsing extracted HTML content
- **SQLite/PostgreSQL (Optional)** – Storing structured data
## ⚠️ Challenges & Considerations
- **Google’s Anti-Scraping Policies:** Google actively prevents automated data collection, so techniques like **randomized delays and proxy usage** are necessary.
- **Performance Optimization:** Running **Selenium** efficiently while extracting large datasets.
- **Legal & Ethical Compliance:** Respect **Google’s terms of service** and explore **API-based alternatives** when necessary.
## 🚀 Installation & Setup
### Prerequisites
Ensure you have **Python 3.8+** installed on your system. Install the required dependencies:
```sh
pip install selenium pandas beautifulsoup4
```
### Setup Selenium WebDriver
Download the WebDriver for your browser:
- **Chrome:** [Chromedriver](https://sites.google.com/chromium.org/driver/)
- **Firefox:** [Geckodriver](https://github.com/mozilla/geckodriver/releases)
- Place the WebDriver in your project directory or set it in your system path.
## 📌 Usage
1. Clone this repository:
```sh
git clone https://github.com/your-username/google-maps-scraper.git
cd google-maps-scraper
```
2. Run the scraper:
```sh
python scraper.py "coffee shops in New York"
```
3. The extracted data will be saved as `output.csv` in the project directory.
## 🎯 Use Cases
- **Business intelligence** and competitor research.
- **Lead generation** for marketing and sales teams.
- **Local business analysis** for SEO and advertising strategies.
## 📝 License
This project is licensed under the **MIT License**. Feel free to use and modify it.
## 🤝 Contributing
Contributions are welcome! Feel free to **fork** the repo and submit a **pull request**.
## 📞 Contact
For any questions or suggestions, reach out via GitHub Issues.
---
✅ **Disclaimer:** Web scraping Google Maps may violate their **terms of service**. Use this project **responsibly** and explore the [Google Places API](https://developers.google.com/maps/documentation/places) as an alternative.