How does it obtain real-time gas prices?

It utilizes Playwright for robust browser automation to scrape the most current gas price data directly from GasBuddy.com.

What are the core requirements to run this tool?

You will need Python 3.10+, Playwright, Playwright-Stealth, and FastMCP installed to run the GasBuddy Price Tracker.

Is the functionality of this tool guaranteed?

No, this project is for educational purposes only. GasBuddy.com may change its website structure, which could impact the script's functionality. The author provides no guarantee.

What is the GasBuddy Price Tracker?

The GasBuddy Price Tracker is a Model Context Protocol (MCP) server that scrapes real-time gas prices from GasBuddy.com to help you find the cheapest fuel in any US city or zip code.

Does it integrate with other applications?

Yes, it functions as an MCP server, making it capable of integrating seamlessly and providing real-time gas price context to applications like Claude Desktop.

GasBuddy Price Tracker

Name: GasBuddy Price Tracker
Author: jimmytwei

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Scrapes real-time gas prices from GasBuddy.com to find the cheapest fuel in any US city or zip code.

This Model Context Protocol (MCP) server actively scrapes real-time gas prices from GasBuddy.com using Playwright, enabling users to quickly identify the most affordable fuel options within any specified US city or zip code. Designed primarily for educational purposes, it effectively demonstrates web scraping capabilities to provide current fuel cost data, offering a practical tool for monitoring and comparing fuel prices.

主な機能

01Utilizes Playwright for robust browser automation

02Scrapes real-time gas prices from GasBuddy.com

03Functions as a Model Context Protocol (MCP) server

040 GitHub stars

05Integrates seamlessly with Claude Desktop

06Finds the cheapest fuel in any US city or zip code

ユースケース

01Integrating with AI assistants like Claude Desktop to retrieve current gas prices

02Developing and testing web scraping solutions for price tracking applications

03Monitoring and comparing fuel costs in specific geographical areas for personal or educational use