Scrape Google Maps for Listings
Budget: ₹1,500 – ₹12,500 INR
I need a clean, accurate pull of Google/Google Maps results for every commercial real estate agency operating in Mumbai, Navi Mumbai, and Thane. From each listing I want the following fields captured exactly as they appear online:
• Name
• Phone number
• Business type
• Full address
• Star rating
• Number of reviews
Please return everything in a single, well-formatted Excel workbook so my sales team can filter and sort the data for outreach campaigns. The file should arrive free of duplicates and obvious errors, with each column clearly labelled and phone numbers in a consistent format.
However you prefer to work—Python with BeautifulSoup or Selenium, Google Maps scraping libraries, or another reliable method—speed and accuracy are what matter most. If Google imposes any access limits along the way, you’ll need to handle proxies, delays, or captcha bypass so the sheet is complete.
Deliverables are accepted once I can open the Excel file, scan a random sample of rows in Google, and see that the information matches the live listings.
• Name
• Phone number
• Business type
• Full address
• Star rating
• Number of reviews
Please return everything in a single, well-formatted Excel workbook so my sales team can filter and sort the data for outreach campaigns. The file should arrive free of duplicates and obvious errors, with each column clearly labelled and phone numbers in a consistent format.
However you prefer to work—Python with BeautifulSoup or Selenium, Google Maps scraping libraries, or another reliable method—speed and accuracy are what matter most. If Google imposes any access limits along the way, you’ll need to handle proxies, delays, or captcha bypass so the sheet is complete.
Deliverables are accepted once I can open the Excel file, scan a random sample of rows in Google, and see that the information matches the live listings.