Google Maps Scraper with Streamlit UI

This is a web application that automatically collects store information from Google Maps based on specified conditions (municipality, business type, rating) and outputs the results as a CSV file. It utilizes the Google Places API.

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✨ Features

• Specify a municipality (e.g., "Shinjuku, Tokyo")
• Input a business type (e.g., "hair salon")
• Set a minimum rating (e.g., "4.0")
• Download the result as a CSV file

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🚀 How to Run

1. Install Required Libraries

pip install streamlit requests

2. Register Your Google Places API Key

• Log in to Google Cloud Console
• Enable the Places API
• Generate API credentials (API Key)

Paste the obtained API Key into the API_KEY field in streamlit_app.py

# streamlit_app.py
# ----------------------------------
# A tool that uses Streamlit to input parameters for the Google Places API via a GUI and outputs results in CSV format
# Input: Region name (municipality), business type (e.g., hair salon), minimum rating
# Output: Display intermediate store info and allow CSV download
# ----------------------------------

import streamlit as st
import requests
import csv
import io
from urllib.parse import urlencode

API_KEY = "Paste your API key here"  # Set your API key here
PLACES_URL = "https://maps.googleapis.com/maps/api/place/textsearch/json"

3. Run the Streamlit App

streamlit run streamlit_app.py

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Input

Enter location, business type, and rating, then press the "Start Search" button.

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📦 Output

The results of the search will be displayed in a table showing:

• Store name
• Rating
• Number of reviews
• Phone number
• Address
• Google Maps URL

Clicking the CSV download button will export the above table as a CSV file.

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🔧 Project Structure

.
├── streamlit_app.py
├── output/
│   └── results.csv
├── README_ja.md
└── README.md      # this file

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Notes

• Using the API may incur charges, so please monitor your API Key usage.
• For issues or bugs, feel free to open an issue.

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🙏 License

MIT License.