Data AutomationLead Generation
Map ScrapingTool
Built a scraper that pulls 150 leads per minute from Google Maps. AMN Cambodia used to spend 4 hours doing this by hand. Now it takes 60 seconds.
0%
Time Reduction
1 min
Per 150 Leads
240x
Faster
Cambodia
AMN Cambodia4 days delivery
150
leads/min
EXTRACT
anywhere·undetected·unlimited
EVERYTHING
>proxy rotation·field filtering·anti-detection
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The Challenge
Every week, the team lostan entire morningto manual data entry.
AMN Cambodia's sales team did this every week: open Google Maps, click a business, copy the info, paste into a spreadsheet. Over and over. Four hours gone.
Every Tuesday morning, same story
8:00 AM
Open Google Maps, start clicking
Tab after tab after tab
9:30 AM
Still copy-pasting details...
Typos everywhere, fields missed
11:00 AM
Cleaning up duplicates
40% of the data is garbage
12:00 PM
Done. Burned out.
Only 100 leads to show for it
4h
burned every week
= 200+ hours per year
= 5 full work weeks
= deals lost to competitors
40%data unusable
3zones covered
200hlost per year
"We knew this was dumb. We just didn't expect the fix to be this fast."
— Vireak, AMN Cambodia
The Solution
How IBuilt It
Python + Playwright doing the scraping. 30 rotating proxies so Google never catches on. You pick the fields you want, it grabs only those.
scraplify.py
$ python scraplify.py --region="Paris" --category="restaurants"
[INFO] Initializing Map Scraping Tool...
[CONFIG] Fields: phone ✓ | website ✓ | rating (mandatory) ✓
[CONFIG] Proxies: 30 active | Engine: Playwright
Progress:░░░░░░░░░░ 0%
Extracted: 0/1000 businesses
Tech Stack
Python
Core engine
Playwright
Browser automation
PostgreSQL
Data storage
extraction_pipeline.sh
# How it works — 4 simple steps
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Here's whatthey gained
SCRAPLIFY
INVESTMENT SUMMARY
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“We used to waste the whole morning clicking around Maps. Now we get better data in a fraction of the time and actually plan our visits properly.”
— Commercial Team, AMN Cambodia
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