You can access the Google Maps Popular Times Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "searchQueries": ["Starbucks Times Square New York"],
10    "placeUrls": [],
11    "proxyConfiguration": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("seemuapps/google-maps-popular-times-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Popular Times Scraper API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Popular Times Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Google Maps Popular Times Scraper API in JavaScript

Google Maps Popular Times Scraper API through CLI

Google Maps Popular Times Scraper OpenAPI definition

Google Maps Popular Times Scraper API

Google Maps Scraper | $0.25/1K Results 💰

scraperlink/google-maps-scraper

🔥 $0.25/1K results🔥 **CHEAPEST** Google Maps Scraper on Apify — 10× cheaper than competitors. Proxies & platform costs included. Results in seconds. Extract names, phones, addresses, ratings, hours & more. Multi-query, up to 200 results per search.

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Google Maps Scraper - Most Comprehensive

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Kai

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Yelp Reviews Scraper

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Easily extract Yelp business reviews at scale. This Yelp Reviews Scraper collects ratings, review text, reviewer details, timestamps, photos, and business info. Export data in JSON, CSV, Excel, or via API.

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Reddit Search Scraper - Keyword & Brand Monitoring ($1.5/1k)

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Search Reddit by keyword and scrape every matching post, comment, and subreddit. Monitor brand mentions, track topics, and find leads with sort and time-range filters — all of Reddit or one community. No API key, no login. Export CSV/Excel/JSON. From $1.50 per 1,000 results.

Harsh Maur

306

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Google Maps Place Detail — Photos & Popular Times (No API Key)

romy/google-maps-place-detail-photos-popular-times-no-api-key

Extract full place details from any Google Maps URL — hours, popular times, photos, amenities & ordering links. No API key, no browser.

Romy

Google Maps Reviews Scraper

louisdeconinck/google-maps-reviews-scraper

Scrape reviews from Google Maps locations. Extract detailed data including reviewer info, rating, and review text. Features include handling consent screens, expanding "See more" buttons, scrolling to load more reviews, and deduplicating results. Ideal for market research and competitor analysis.

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474

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Google Maps Reviews Scraper - Most Comprehensive

kaix/google-maps-reviews-scraper

🔥 ~$0.04/1K reviews + FREE review photos 🔥 Extract all reviews with ratings, text, translations, photos, author details, owner responses, structured dining/hotel/attraction data, and 65+ place fields. Supports keyword filtering, sorting.

Kai

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Google Maps Scraper

automly/google-maps-scraper

Google Maps Scraper: Extract business data from Google Maps search results: names, addresses, phones, websites, ratings, reviews, opening hours, and 20+ fields. Covers any location or category. Grid search mode finds thousands of places per city.