Pricing

from $1.50 / 1,000 scraped places

Google Maps Extractor ✅ $1.5/1k places

From $1.50 / 1,000 saved places. Fast Google Maps Extractor for Google Places data, local business listings, addresses, phones, websites, ratings, review counts, opening hours, coordinates, Place IDs, CIDs, and public website contacts from keywords, URLs, Place IDs, or map areas.

Pricing

from $1.50 / 1,000 scraped places

Rating

0.0

(0)

Developer

Hundevmode Labs

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Lead generation

Automation

Travel

You can access the Google Maps Extractor ✅ $1.5/1k places 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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": ["bike repair shop"],
10    "locationQuery": "Portland, Oregon, USA",
11    "maxCrawledPlacesPerSearch": 50,
12    "language": "en",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("x_guru/google-maps-extractor").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Google Maps Extractor for Google Places Data API in Python

The Apify API client for Python is the official library that allows you to use Google Maps Extractor ✅ $1.5/1k places API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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