GOOGLE MAPS API KEY

Website, social posts, classified ads, or promotional content. MICRO‑BUSINESS‑SKILLS‑UK Small lessons. Stronger businesses. Build practical business skills in minutes — not hours. Designed for UK micro‑business owners, freelancers, and small teams who want real‑world skills they can apply immediately. 🌐 Website: https://www.micro-business-skills.uk πŸ“’ Promo Partner: #Classified_Submissions πŸ”— Featured Listing: https://www.classifiedsubmissions.com/a/aff/go/pthompsonBizAds Affiliate Disclosure I use affiliate links in my content. This means I may earn a commission if you make a purchase through one of my links. This comes at no additional cost to you and helps support the work I do. import requests import pandas as pd import time API_KEY = "YOUR_GOOGLE_MAPS_API_KEY" location = "54.1911,-3.1975" # Askam In Furness coordinates radius = 5000 # 5 km keyword = "small business" businesses = [] def fetch_places(url): response = requests.get(url) return response.json() # Initial request base_url = f"https://maps.googleapis.com/maps/api/place/nearbysearch/json?location={location}&radius={radius}&keyword={keyword}&key={API_KEY}" data = fetch_places(base_url) while True: for place in data.get("results", []): place_id = place.get("place_id") details_url = f"https://maps.googleapis.com/maps/api/place/details/json?place_id={place_id}&fields=name,vicinity,formatted_phone_number,website,rating,types&key={API_KEY}" details_response = requests.get(details_url).json().get("result", {}) businesses.append({ "Name": details_response.get("name"), "Address": details_response.get("vicinity"), "Phone": details_response.get("formatted_phone_number"), "Website": details_response.get("website"), "Rating": details_response.get("rating"), "Business Type": ", ".join(details_response.get("types", [])) }) # Check for next page next_page_token = data.get("next_page_token") if next_page_token: # Google requires a short delay before using next_page_token time.sleep(2) next_url = f"https://maps.googleapis.com/maps/api/place/nearbysearch/json?pagetoken={next_page_token}&key={API_KEY}" data = fetch_places(next_url) else: break # Save to CSV df = pd.DataFrame(businesses) df.to_csv("local_small_businesses.csv", index=False) print(f"Fetched {len(businesses)} businesses and saved to local_small_businesses.csv")

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