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Google Maps Scraperintelligent-operations/crawler-google-places

Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, and job title, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.

You can access the Google Maps 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 Integrations settings in Apify Console.
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchStringsArray": ["restaurant"],
    "locationQuery": "New York, USA",
    "maxCrawledPlacesPerSearch": 50,
    "language": "en",
    "scrapeSocialMediaProfiles": {
        "facebooks": False,
        "instagrams": False,
        "youtubes": False,
        "tiktoks": False,
        "twitters": False,
    },
    "maximumLeadsEnrichmentRecords": 0,
    "maxCompetitorsToAnalyze": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("intelligent-operations/crawler-google-places").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():

📍 Google Maps Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include: