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📩📍 Google Maps Email Extractor

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📩📍 Google Maps Email Extractor

📩📍 Google Maps Email Extractor

lukaskrivka/google-maps-with-contact-details
Try for free

Pay $9.00 for 1,000 Results

Extract Google Maps contact details. Scrape websites of Google Maps places for contact details and get email addresses, website, location, address, zipcode, phone number, social media links. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.

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You can access the 📩📍 Google Maps Email Extractor programmatically from your own Python 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.

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    "searchStringsArray": ["restaurant"],
10    "locationQuery": "New York, USA",
11    "maxCrawledPlacesPerSearch": 10,
12    "language": "en",
13    "countryCode": "",
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("lukaskrivka/google-maps-with-contact-details").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

📩📍 Google Maps Email Extractor API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify

Actor Metrics

  • 1.5k monthly users

  • 196 stars

  • 86% runs succeeded

  • 2.6 days response time

  • Created in Apr 2023

  • Modified 15 hours ago