Nearby Fish (/etc) Store Finder

Overview

This Python script utilizes the Overpass API to find nearby fish, coral, and aquarium stores based on their geographical coordinates. The script allows you to specify a radius in meters to search for various types of shops related to fish.

Features

• Query the Overpass API for nearby stores.
• Support for multiple types of shops (pet, aquarium, seafood, etc.).
• Retrieve various attributes such as name, phone, email, social media links, and location.
• Append results to a text file for easy access.

Requirements

• Python 3.x
• Requests library

Installation

1. Clone this repository:

   git clone https://github.com/connor9994/Overpass-API.git
   cd Overpass-API

2. Install the required dependencies:

   If you haven't already installed the requests library, do so using pip:

   pip install requests

Usage

1. Set the latitude, longitude, and search radius:

   Example below is 10 miles surounding Portland, Oregon

   # https://www.latlong.net/latitude=45.512230longitude=-122.658722meters=16000# Set the desired search radius in meters

   Query for this script is:

    [out:json];
   (
   node[shop=pet](around:{meters}, {latitude}, {longitude});
   node[shop=aquarium](around:{meters}, {latitude}, {longitude});
   node[shop~fish](around:{meters}, {latitude}, {longitude}); // Finds any shop w/ "fish" anywhere in the description
   node[shop=seafood](around:{meters}, {latitude}, {longitude});
   node[product~fish](around:{meters}, {latitude}, {longitude});
   );
   out body;
   

   And can be modified according to/with these sources

   Query Builder/Tester

   Search Parameters/Syntax

   Types of Shops (Not an Exhaustive List, Some Stores use Fish/Fishmonger instead of "Fishing" for instance)

   ChatGPT, write me an Overpass API Query to find my local Gamestops

   

2. Run the script:

   Execute the script to find nearby fish stores and append the data to a text file called stores.txt.

   python nearby_fish_stores.py

3. Check the results:

   After running the script, the results will be appended to stores.txt. Each entry includes:

   • Name
   • Phone number
   • Email address
   • Website
   • Social Media Links (Twitter, Facebook, Instagram, YouTube)
   • Location (latitude and longitude)

Example Script

Here is a brief overview of the script functionality:

importrequestsdefget_nearby_fish_stores(latitude, longitude, meters):
~~~defwrite_to_file(data, filename):
~~~# Example usage:latitude=45.512230longitude=-122.658722meters=16000# 10 Milesdata=get_nearby_fish_stores(latitude, longitude, meters)
ifdata:
write_to_file(data, 'stores.txt')
print("Data appended to stores.txt")

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for any enhancements or bug fixes.

License

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or distribute this software, either in source code form or as a compiled binary, for any purpose, commercial or non-commercial, and by any means.