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Enrich Google Maps Dataset with Contacts

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Enrich Google Maps Dataset with Contacts

Enrich Google Maps Dataset with Contacts

compass/enrich-google-maps-dataset-with-contacts
Try for free

No credit card required

Enrich Google Maps Dataset with Contacts. 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 Enrich Google Maps Dataset with Contacts 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 = { "proxyConfig": { "useApifyProxy": True } }
9
10# Run the Actor and wait for it to finish
11run = client.actor("compass/enrich-google-maps-dataset-with-contacts").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Enrich Google Maps Dataset with Contacts API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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Maintained by Apify
Actor metrics
  • 113 monthly users
  • 10 stars
  • 81.6% runs succeeded
  • 3.2 days response time
  • Created in Sep 2024
  • Modified 24 days ago
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