Google Maps Routes
Pricing
$30.00/month + usage
Google Maps Routes
A flexible scraper that returns the quickest route between two locations. Can filter paths by avoiding `Ferries`, `Highways` and `Tolls`
0.0 (0)
Pricing
$30.00/month + usage
3
Total users
20
Monthly users
1
Runs succeeded
>99%
Last modified
a year ago
You can access the Google Maps Routes 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "startUrls": [{ "url": "https://www.google.com/maps/dir/Orlando,+FL,+USA/Oak+Ridge/@28.50464,-81.4524678,13z/am=t/data=!4m13!4m12!1m5!1m1!1s0x88e773d8fecdbc77:0xac3b2063ca5bf9e!2m2!1d-81.3789269!2d28.5383832!1m5!1m1!1s0x88e77c21b7cf3a27:0xda788a24a75ae598!2m2!1d-81.4245155!2d28.4711157" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("mcdowell/google-maps-route-scraper").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-startGoogle Maps Routes API in Python
The Apify API client for Python is the official library that allows you to use Google Maps Routes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
