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Google Maps Scraper Orchestrator

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Google Maps Scraper Orchestrator

Google Maps Scraper Orchestrator

lukaskrivka/google-maps-scraper-orchestrator
Try for free

No credit card required

Run multiple locations and search terms together with parallel runs for maximum speed.

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You can access the Google Maps Scraper Orchestrator 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    "locations": [
10        "New York",
11        "Los Angeles",
12        "Chicago",
13    ],
14    "locationPrefix": "USA",
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("lukaskrivka/google-maps-scraper-orchestrator").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Scraper Orchestrator API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Scraper Orchestrator 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
  • 17 monthly users
  • 11 stars
  • 48.5% runs succeeded
  • 2.7 days response time
  • Created in Sep 2023
  • Modified about 1 month ago
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