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Data AutomationLead Generation

Map ScrapingTool

From 4 hours to 1 minute. High-speed Google Maps data extraction with proxy rotation, parallel processing, and customizable field filtering for AMN Cambodia.

0%
Time Reduction
1 min
Per 150 Leads
240x
Faster
Cambodia
AMN Cambodia
4 days delivery
Scraplify Interface
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 was stuck in a painful routine: open Google Maps, search for businesses, click each result, copy the details, paste into a spreadsheet. Repeat. For four hours straight.

The weekly ritual of frustration

8:00 AM
Open Google Maps, start searching
Slow navigation, constant clicking
9:30 AM
Still copying business details...
Typos, missed fields, fatigue
11:00 AM
Cleaning up duplicate entries
Realizing 40% of data is unusable
12:00 PM
Finally done — exhausted
Only 100 leads collected
4h
wasted every single week
= 200+ hours per year
= 5 full work weeks
= countless missed opportunities
40%data unusable
3zones covered
200hlost per year

"We knew there had to be a better way. We just didn't know it would be this fast."

— Vireak, AMN Cambodia

The Solution

Map ScrapingTool Architecture

A high-performance scraping tool built with Playwright, featuring customizable field filtering, proxy rotation, and intelligent anti-detection.

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
Python
Core engine
Playwright
Playwright
Browser automation
PostgreSQL
PostgreSQL
Data storage
extraction_pipeline.sh
# How it works — 4 simple steps
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Here's whatthey gained

SCRAPLIFY
INVESTMENT SUMMARY
================================

“Instead of scattered manual searches, we now benefit from exhaustive, geo-structured lists that lead to more efficient visit scheduling.”

— Commercial Team, AMN Cambodia

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