Google Maps Scraper Examples (Python & Node.js)

This repository contains working examples of scraping Google Maps search results using:

• Selenium
• Playwright (with stealth)
• HasData Google Maps API

in both Python and Node.js. Each method includes clean and minimal code samples with working selectors and data saving logic.

Table of Contents

1. Requirements
2. Project Structure
3. Scraper Examples
   • Selenium
   • Playwright + Stealth
   • HasData API

Requirements

Python 3.10+ or Node.js 18+

Python Setup

Install required packages:

pip install selenium pandas playwright playwright-stealth
playwright install

Node.js Setup

Install required packages:

npm install selenium-webdriver playwright playwright-extra playwright-extra-plugin-stealth axios

Project Structure

google-maps-scraper/
│
├── python/
│   ├── selenium_scraper.py
│   ├── playwright_scraper.py
│   ├── hasdata_api_scraper.py
│
├── nodejs/
│   ├── selenium_scraper.js
│   ├── playwright_scraper.js
│   ├── hasdata_api_scraper.js
│
└── README.md

Each script scrapes the same data: business name, rating, reviews, category, services, image, and detail URL. Output is saved in both .json and .csv.

Scraper Examples

Selenium

Classic Google Maps scraping using Selenium with visible browser.

Parameter	Description	Example
query	Search query	"pizza in New York"
max_scrolls	Number of scroll cycles	10
scroll_pause	Pause between scrolls	2 seconds
max_scrolls	Scroll repetitions	10
output_file	Output CSV/JSON filename	"maps_data.csv/json"

Playwright + Stealth

Runs headless or headful with stealth mode to avoid detection.

Parameter	Description	Example
query	Search query	"restaurants in Chicago"
headless	Headless mode or not	True
scroll_pause	Pause between scrolls	2 seconds
max_scrolls	Scroll repetitions	10
output_file	Output CSV/JSON filename	"output.csv"

HasData API

Use Google Maps scraping API (by HasData) — no browser automation needed.

Parameter	Description	Example
api_key	Your HasData API key	"your-key"
query	Search query	"bars near San Francisco"
output_file	Output file	"results.json / results.csv"

Notes

• Selectors may change — always verify current class names on Google Maps.
• Avoid rate limiting — random delays, proxies, or API-based approach recommended.
• For heavy usage, prefer HasData or your own headless proxy farm.

Disclaimer

These examples are for educational purposes only. Learn more about the legality of web scraping.

📎 More Resources

• How to Scrape Google Maps Data Using Python

• Join the community on Discord

• Star this repo if helpful ⭐