Google Maps scraping refers to the process of using technical means to obtain data from Google Maps. This usually involves using automated tools to simulate browser access and parse web page content, or directly using the Google Maps API (note that commercial use requires payment). The crawling process may include steps such as determining targets, analyzing page structure, writing crawling code, parsing HTML content, and processing links.

Does Google Maps scraping require the use of a proxy?

Whether or not you need to use a proxy to crawl Google Maps depends on the network environment and Google's anti-crawler policy. Since Google Maps services may restrict access due to geographic location, network restrictions, or anti-crawler measures, using a proxy server can help bypass these restrictions. A proxy server can hide the original IP address and simulate access from different regions, which may increase the access success rate. However, it should be noted that it is crucial to choose a high-quality proxy service to avoid problems such as unstable connection, slow speed, or being blocked due to poor proxy quality.

Using proxy in python to crawl Google Maps

To use a proxy in Python to scrape Google Maps, you need to combine proxy settings and HTTP request libraries (such as requests) to send requests and parse the data returned by Google Maps. Here is a detailed step-by-step guide with sample code:
Steps

‌1. Prepare a proxy server‌:

Register and log in to Swiftproxy
Get the IP and port number

‌2. Install the `requests` library‌:

If it is not already installed, install the requests library via pip install requests.

‌3. Write code‌:

Use the requests library to set up a proxy and send HTTP requests to the Google Maps API or web page.

‌4. Parse data‌:

Handle the returned response and parse the required data.

‌5. Handle exceptions‌:

Make sure your code can handle network errors, proxy connection problems, or data parsing errors.
Sample Code

import requests

# Proxy server settings
proxies = {
    'http': 'http://your_proxy_ip:port',
    'https': 'http://your_proxy_ip:port',
}

# Google Maps API URL (make sure to replace YOUR_API_KEY with your actual API key)
url = 'https://maps.googleapis.com/maps/api/geocode/json?address=1600+Amphitheatre+Parkway,+Mountain+View,+CA&key=YOUR_API_KEY'

try:
    # Send a GET request through the proxy server
    response = requests.get(url, proxies=proxies)

    # Check the response status code
    if response.status_code == 200:
        # Parsing JSON data
        data = response.json()
        print(data)
    else:
        print(f'Failed to retrieve data: Status code {response.status_code}')
except requests.RequestException as e:
    print(f'An error occurred: {e}')

Please make sure to replace your_proxy_ip:port with your actual proxy server's IP address and port number, and replace YOUR_API_KEY with your Google Maps API key.

Notes

Comply with Google's Terms of Service: When scraping Google Maps data, please make sure you comply with Google's Terms of Service, especially the provisions regarding API usage and data scraping.
Consider API restrictions: Google Maps API may have usage restrictions, such as request frequency, daily request volume, etc. Please make sure your usage does not exceed these limits.

Is it legal to use a proxy to scrape Google Maps?

Whether it is legal to use a proxy to scrape Google Maps depends mainly on whether the scraping behavior complies with Google's terms of service and local laws and regulations.

‌Google Terms of Service‌: When using Google Maps, you must comply with its terms of service. If the terms explicitly prohibit or restrict the use of proxies for scraping, such behavior may violate the terms of service.
‌Local laws and regulations‌: In some countries and regions, there are strict legal regulations on data scraping. Before scraping, be sure to understand and comply with local laws and regulations to ensure legal compliance.

In summary, when using a proxy to scrape Google Maps, be sure to act with caution and ensure that your behavior complies with Google's terms of service and does not violate local laws and regulations. If you have any questions, it is recommended to consult a professional legal person or Google official for accurate guidance‌.

How to scrape data from Google Maps using Python?