https://github.com/mominurr/google-map-scraping
google map scraper collect google map all available data and collect email from business website.
https://github.com/mominurr/google-map-scraping
datascraping python scraping selenium webcrawler webcrawling webscraper webscraping
Last synced: about 2 months ago
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google map scraper collect google map all available data and collect email from business website.
- Host: GitHub
- URL: https://github.com/mominurr/google-map-scraping
- Owner: mominurr
- Created: 2024-10-15T21:06:34.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-21T20:09:35.000Z (about 2 months ago)
- Last Synced: 2025-03-21T21:20:39.304Z (about 2 months ago)
- Topics: datascraping, python, scraping, selenium, webcrawler, webcrawling, webscraper, webscraping
- Homepage: https://www.google.com/maps/
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Project: Google Map Scraping
The Google Map Scraping project is designed to extract detailed business information from Google Maps listings. This project uses web scraping techniques to collect structured data, making it easier to analyze businesses, generate leads, and conduct market research. The information gathered supports better decision-making by providing key insights into businesses and services.
# ⚠️ **Important Notice: Business Use Only** ⚠️
This repository is for **demonstration purposes only** and **not for free use**. It showcases my professional expertise in **web scraping** and **automation**.
🚫 **Unauthorized use, redistribution, or modification is strictly prohibited.**
💼 **For custom web scraping and automation solutions, please contact me directly for professional, business-focused services.**
📩 [Get in Touch](https://mominur.dev)
## Key Features of the Project
### 1. Business Data Extraction
The scraper collects important business details that are publicly available on Google Maps. This includes:
- **Business Name**: The name of the business.
- **Email**: Email address (if available in the listing).
- **Phone Number**: Contact number of the business.
- **Website URL**: Link to the business's official website.
- **Rating**: Average user rating for the business.
- **Review Count**: Total number of reviews received by the business.
This data can be used for lead generation, targeted outreach, or even competitor analysis.
### 2. Efficiency in Data Collection
By automating the scraping process, the project improves efficiency, saving time compared to manual data entry. The extracted data is structured and organized, making it easy to use in spreadsheets or databases for further analysis or marketing purposes.
### 3. Applications
The data collected can be used in various applications such as:
- **Market Research**: Analyze trends and patterns in specific business categories or regions.
- **Lead Generation**: Gather potential leads with contact information for targeted outreach.
- **Business Analysis**: Study competitors or potential partners by evaluating their Google Maps data.
- **Decision-Making**: Use insights to make informed choices about service providers, local businesses, and more.
## Benefits
- **Comprehensive Data**: Gain access to detailed business data from multiple Google Maps listings, making it easy to analyze and organize.
- **Automated Process**: The scraping tool automates the collection of business information, eliminating manual work and speeding up the data-gathering process.
- **Structured Format**: Data is provided in a structured format, ready for integration into CRM systems, databases, or for direct analysis.
## Sample Data File
A sample data file (in Excel format) is included in this repository, demonstrating the structure and type of information collected during the scraping process.
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## Contact Me
For any inquiries or service requests, please reach out to me via LinkedIn or visit my portfolio website:
- **Portfolio:** [mominur.dev](https://mominur.dev)
- **GitHub:** [github.com/mominurr](https://github.com/mominurr)
- **LinkedIn:** [linkedin.com/in/mominur--rahman](https://www.linkedin.com/in/mominur--rahman/)
- **Email:** [email protected]
I look forward to connecting with you!