To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. See our subscription plans.

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Free trial

3 days

Monthly price

$10.00

Google Maps Scraper

backbonecoder/google-maps-scraper

📍 Scrape Google Maps listings by keyword & location. 🗺️ Get name, rating, reviews, address, phone, site, URL & Place ID. ⚙️ Optional details. ⚡ Fast, proxy-ready, Excel export. 🎯 Ideal for lead gen, market research & local SEO.

franck

Advanced Google Maps Scraper

slash-scrape/google-maps-scraper

This Google Maps scraper lets you collect details like 👋 Name, 🗂️ Category, 🏷️ Description, ⭐️ Rating, 📇 Address, 📞 Phone, 🖥️ Website, ➕ Plus Code, 🔗 Share Link, 🏪 Opening Times, 📈 Popular Times and 🔖 Properties for any place on Google Maps.

slash scrape

151

Google Maps Crawler

netleo/google-maps-crawler

Google Maps Crawler extracts data about places and reviews from Google Maps. The actor can be used to find related places and reviews for a given starting place.

netleo

1.0

Doordash Google Placeid Scraper

axlymxp/doordash-google-placeid-scraper

This tool scrapes Google Place IDs from DoorDash, using location searches to gather data on names, addresses, coordinates, and country codes.

axly

Wine1 Scraping

alifur_rahman/wine1-scraping

test

alifur Rahman

Google Maps Scraper

mohamedgb00714/Google-Maps-Scraper

mohamed el hadi msaid

DoorDash Store Details Scraper

tri_angle/doordash-store-details-scraper

Using Doordash store URLs, you can collect store details

Tri⟁angle

5.0

UberEats Reviews Scraper

tri_angle/ubereats-reviews-scraper

Ubereats Reviews allows you to scrape reviews by simply adding the UberEats URLs

Tri⟁angle

4.5

Google Review Scraper

shahzeb-king/google-review-scraper

High-performance Google Reviews scraper built with Playwright & Node.js. Extract reviews, ratings, authors & dates from any Google business using place IDs. Optimized for speed with stealth mode, Docker-ready, Apify-compatible. Batch processing, JSON output, minimal delays.