jinef-john

jinef-john / google-maps-scraper

Public

Google Maps scraper, but it uses HTTP requests instead of a browser

google-maps-scraper
14
3
69% credibility
Found Apr 21, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A command-line tool that searches Google Maps for places and extracts details such as names, addresses, ratings, reviews, and opening hours into JSON format.

How It Works

1
🔍 Discover the Maps Helper

You find a handy tool online that pulls useful info from Google Maps like business names, addresses, and customer reviews.

2
📥 Set It Up

You follow easy steps to get the tool ready on your computer so you can start searching.

3
Pick Your Search Style
📋
Quick List

Get a simple rundown of matching places to spot what you need.

📍
One Place Deep Dive

Zoom in on a specific location for full info including reviews.

⭐
Full Roundup

Search and grab complete details plus reviews for multiple spots.

4
✨ Run Your Search

You simply tell it what to find, like 'coffee shops in London', and it gathers the info for you.

5
📊 Review the Results

You see names, ratings, addresses, phone numbers, hours, and reviews right away.

6
💾 Save Your List

Choose to save everything neatly into a file to keep or share later.

🎉 Mission Accomplished

Now you have all the maps data you need for your research, business ideas, or trip planning.

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Star Growth

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AI-Generated Review

What is google-maps-scraper?

This Python CLI tool scrapes Google Maps for business data like names, addresses, ratings, categories, phone numbers, websites, opening hours, and full reviews—including author details, text, ratings, and owner replies—without firing up a browser. It solves the pain of heavy automation setups by using plain HTTP requests to hit Google's undocumented map endpoints, outputting clean JSON for searches, single places, or full result sets. Run commands like `list "coffee shops in London"` for quick discovery or `search "hospitals in Nairobi" --max-reviews=50` for everything.

Why is it gaining traction?

Unlike browser-based Google Maps scrapers that guzzle RAM and trigger CAPTCHAs, this stays lightweight and fast with built-in delays, proxies, and geo-targeting via lat/lng. Devs dig the workflow: list places to grab IDs, then deep-dive specifics, all configurable by language and region. As a Google Maps review scraper on GitHub, it pulls leads, emails, and sentiment data reliably for business intel.

Who should use this?

Market researchers scraping Google Maps data for competitor analysis or lead gen, sales teams building lists from "web developers in Stockholm," and data engineers aggregating reviews for sentiment models. Indie devs prototyping local directories or apps needing "google maps in der nähe" style nearby searches without APIs.

Verdict

Solid starter for Google Maps business scraper needs, with clear docs and JSON output, but at 14 stars and 0.7% credibility score, it's early-stage—test proxies thoroughly to dodge blocks. Fork and contribute if you need production polish.

(198 words)

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