How I Automated Local SEO Rank Tracking with Python

I’ve been digging into how local search results vary across different cities, and manually changing VPNs or browser settings every time was a nightmare. So I built a quick Python script that uses SERPSpur’s Local Search Spoofing Tool to simulate results for any country, city, or language. Here’s a snippet to get started:

python
import requests

url = 'https://serpspur.com/tool/local-search-spoofing-tool/'
params = {
'keyword': 'coffee shop',
'country': 'US',
'city': 'New York',
'language': 'en'
}
response = requests.get(url, params=params)
print(response.json())

This returns the top 10 results as if you’re searching from that exact location. No more guessing if your SEO strategy is actually working in different markets. The tool handles the geo-spoofing natively, so you can focus on analyzing the data. I’ve been using it to check how my site ranks in London vs. Sydney, and it’s been a game-changer for local SEO audits. #python #seo #localsearch