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v2.4.0 PRODUCTION PYTHON 3.10+

LEAD GENERATION // STANDALONE AUTOMATION ENGINE

gmaps_scraper.py

> Google Maps Local Lead Generator

Headless browser automation tool that crawls Google Maps to extract verified business names, direct phone numbers, addresses, and websites into clean CSVs.

~ $ pip install -r requirements.txt && python gmaps_scraper.py --query="Coffee Shops" --location="Seattle, WA" --max=10 --output="leads.csv"
100% VirusTotal Clean Zero API Cost ($0.00) Instant Source Unlock MIT Commercial License
VERIFIED
user@intscript:~/automation$ python gmaps_scraper.py --query="Coffee Shops" --location="Seattle, WA" --max=10 --output="leads.csv" [INFO] Starting lead collection for: 'Coffee Shops in Seattle, WA' [INFO] Launching Playwright browser to scrape Google Maps... [INFO] Scrolling results feed to extract items... [INFO] Discovered 6 potential listing links. Parsing details... [INFO] [Scraped] Storyville Coffee Pike Place | Phone: +1 206-780-5777 | Web: https://storyville.com [INFO] [Scraped] Coffee TAB Downtown | Phone: +1 425-243-7356 | Web: http://coffeetab.org [INFO] [Scraped] Overcast Coffee Roasters | Phone: +1 206-588-2621 | Web: http://overcastcoffee.co [SUCCESS] Exported 3 verified B2B lead records to 'seattle_coffee_leads.csv'

// COMMAND INVOCATION:

python gmaps_scraper.py --query="Coffee Shops" --location="Seattle, WA" --max=10 --output="leads.csv"

// SUPPORTED COMMAND-LINE ARGUMENTS:

ARGUMENT FLAG TYPE DEFAULT DESCRIPTION
--query string 'Coffee Shops' Industry, niche, or business category keyword
--location string 'Seattle, WA' Target city, state, or metropolitan postal area
--max integer 10 Maximum number of verified business leads to collect
--output filepath 'leads.csv' Destination UTF-8 CSV spreadsheet filename

// PRODUCTION OUTPUT SCHEMA (CSV / Excel) — SAMPLE EXTRACTED DATASET:

business_name phone address website rating reviews_count
Storyville Coffee Pike Place +1 206-780-5777 94 Pike St, Seattle, WA 98101 https://storyville.com 4.8 1,248
Coffee TAB Downtown +1 425-243-7356 1124 2nd Ave, Seattle, WA 98101 http://coffeetab.org 4.9 312
Overcast Coffee Roasters +1 206-588-2621 214 1st Ave S, Seattle, WA 98104 http://overcastcoffee.co 4.7 584
Victrola Coffee Roasters +1 206-325-6520 310 E Pike St, Seattle, WA 98122 https://victrolacoffee.com 4.6 980

• Ready for direct import into PostgreSQL, MongoDB, Airtable, HubSpot, or Microsoft Excel without pre-processing.

Runtime & OS
Python 3.10+ / PyPy3
Engine & Concurrency
Chromium SPA Infinite Scroll
Anti-Detection Strategy
Dynamic DOM Selectors & Delays
API Key Requirement
$0.00 / Zero API Keys Required

Technical Specifications & Implementation Details

> Python Dependencies:
pip install playwright pip install beautifulsoup4 pip install pandas pip install requests
> Architecture Overview:

An industrial-grade local business lead scraping engine built for B2B prospecting, cold outreach, and market research. Combines Playwright browser automation to navigate Google Maps' Single Page Application (SPA) infinite scroll with a resilient BeautifulSoup HTTP fallback. Automatically strips private unicode icon glyphs, parses international phone standards, and exports structured spreadsheets ready for your CRM.

> Core Architectural Highlights:
  • • Dual-engine architecture: Playwright Chromium browser + lightweight HTTP fallback
  • • Automated infinite feed scroll with dynamic height calculation
  • • Extracts: Business Name, Phone Number, Physical Address, Website, Rating, and Review Count
  • • Regex text sanitization removing icon artifacts (\ue0b0, \ue30c) and line breaks
  • • Pandas UTF-8-SIG CSV export compatible with Microsoft Excel and Google Sheets

// 3-STEP EXECUTION PIPELINE

From Download to Production in 60 Seconds

01
Install Dependencies

Run pip install -r requirements.txt in your virtual environment to load required packages.

02
Configure Flags

Pass your target keywords, URLs, price thresholds, or proxy lists via simple CLI command flags.

03
Extract Clean Data

The script parses the live target and generates pristine UTF-8 spreadsheets, media, or JSON files.

READY FOR DEPLOYMENT

Unlock gmaps_scraper.py Source Code

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