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https://github.com/sabsar42/google-map-scrapper-streamlit-web
Google Map Business Scraper
https://github.com/sabsar42/google-map-scrapper-streamlit-web
business google-maps webscraper
Last synced: 2 days ago
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Google Map Business Scraper
- Host: GitHub
- URL: https://github.com/sabsar42/google-map-scrapper-streamlit-web
- Owner: sabsar42
- Created: 2024-06-12T10:54:35.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-07T12:34:37.000Z (6 months ago)
- Last Synced: 2024-11-10T12:09:28.558Z (2 months ago)
- Topics: business, google-maps, webscraper
- Language: Python
- Homepage: https://gmap-scraper-web-app-shakib-absar.streamlit.app/
- Size: 87.9 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Google Maps Business Scraper Streamlit Web App
live : https://gmap-scraper-web-app-shakib-absar.streamlit.app/
## Overview
Google Maps Business Scraper is a Streamlit application designed to scrape business details from Google Maps based on a search term. It extracts `business names`, `addresses`, `websites`, `phone numbers`, and `average reviews`.
The scraped data is then saved in an Excel file for easy access and download.
## Features
- **User Input**: Enter a search term and specify the number of results to scrape.
- **Progress Indicator**: A progress bar and elapsed time indicator to show the scraping process.
- **Data Export**: Export the scraped data to an Excel file and download it directly from the app.
- **Styled Interface**: Custom background color and personalized branding.
## Installation
1. **Clone the Repository**
```sh
git clone https://github.com/sabsar42/Google-Map-Scrapper-Streamlit.git
cd Google-Map-Scrapper-Streamlit
```
2. **Create a Virtual Environment**
```sh
python -m venv venv
```
3. **Activate the Virtual Environment**
- On Windows:
```sh
venv\Scripts\activate
```
- On macOS/Linux:
```sh
source venv/bin/activate
```
4. **Install Required Packages**
```sh
pip install -r requirements.txt
```
## Usage
1. **Run the Streamlit App**
```sh
streamlit run main.py
```
2. **Open the App in a Browser**
After running the command, Streamlit will display a URL in the terminal (usually `http://localhost:8501`). Open this URL in your browser.
3. **Enter Search Term and Number of Results**
- Enter the desired search term.
- Specify the number of results to scrape.
4. **Scrape and Download Data**
- Click on the **Get Data** button to start scraping.
- After completion, download the Excel file containing the scraped data.
## Code Structure
- **`main_setVal.py`**: Contains the main Streamlit application code along with the Scraper logic.
## Example
1. **Enter Search Term**: "Coffee Shops in New York, United States"
2. **Specify Number of Results**: 100
3. **Click `Get Data`**: The app scrapes data and displays progress.
4. **Download Excel File**: Click the download button to get the results in .XLSX format ( Excel File ).
## Contributions
Contributions are welcome! Feel free to submit a pull request or open an issue.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
## Author
Developed by Shakib Asbar.