Google Map Lead Extractor Software for India

Built for Indian lead lists, sold across India

Most “Google Maps scraper” pages you will find are written for a US or Europe credit card and a cloud dashboard. This page is for people who actually work Indian territories: an agency in Pune building a dentist list for Pune and Pimpri, a plywood wholesaler mapping dealers in Surat and Rajkot, a CA-practice marketer covering Lucknow localities one line at a time, or a recruiter who needs factory HR numbers in Hosur and Sriperumbudur. The same Windows install covers all of those jobs. You type the keyword Google Maps already understands, add one city or locality per line, and save an .xlsx file.

MediaByteX makes the software at Sentrum Mall, Asansol, West Bengal 713305, and supports it on WhatsApp from India. That is the company address. The product itself is not a local-services landing page for Asansol. If your search is “interior designer in Jaipur” or “diagnostic centre in Guwahati”, the app will run that search. If the listing exists on Google Maps, it can be collected, whether the PIN is 110001 or 682001.

There is no Mac or Linux native build, no browser version and no API. Your Windows PC has to stay on while a job runs. Those limits are the trade for a fixed rupee licence instead of a per-record cloud bill.

Why the Indian address columns matter

A Google Maps listing in India is rarely a clean “street, city, ZIP” string. You get shop numbers, “opp. railway station”, village names inside a municipal area, and a six-digit PIN at the end — or sometimes not. Google Map Lead Extractor still saves the full address, then tries to split City, State and Pincode / postcode into their own Excel columns. That split is tuned for Indian addresses. It is the difference between a sheet you can filter (“show me only 5600xx”) and a sheet you have to re-parse by hand.

Typical uses of those columns inside India:

• Courier and field-sales routing. Sort by PIN or city so a rider or a territory executive is not hopping across two districts in one afternoon.
• GST-state grouping. State names from the listing help you keep Maharashtra leads apart from Gujarat leads when you plan a campaign or a distributor map.
• Locality batches. For a metro, do not type only “Mumbai”. Add Andheri, Bandra, Thane, Navi Mumbai, Kalyan — one per line — so each run stays inside a workable Maps viewport.
• Duplicate control. Chain stores reuse one phone. After export, Excel → Data → Remove Duplicates on the phone column, then on the Google Maps URL column.

Parsing is not magic. A listing that has no PIN, or an address written only in a local language without a numeric code, can leave the pincode cell empty. That is expected. You still have the full address and the Maps link to check.

How an Indian extraction actually runs

1. Pick the words customers type on Maps. “Dental clinic” beats “doctor”. “CA firm” beats “accountant”. “Hardware wholesaler” beats “shop”. Match the category Google already uses.
2. List places, one per line. A state-wide dump of “Tamil Nadu” is a poor Maps query. City and locality names work. Overnight jobs can stack dozens of lines.
3. Decide on email and WhatsApp. Those two fields are not on the Google Maps card. Tick the optional grabber only if you need them; the app then visits each business website, which makes the run slower. Details: email extractor and WhatsApp number extractor.
4. Start, pause, save. The live grid shows lead, email and WhatsApp counters. Save writes a file named after the keyword and city, ready for Excel, LibreOffice or Google Sheets.

Google Maps itself still caps a single search at roughly 120 visible results. Paid Deep Coverage walks a city as a grid (radius and density settings) when you need more than that one viewport. The trial does not include Deep Coverage; it does include the other sixteen fields, limited to 10 rows per search so you can judge the sheet before you pay.