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Aftab Ahmed
ā€¢ May 4
šŸ¤– WEB SCRAPING LEAD GENERATION BOT
A Python automation bot that extracts product data from e-commerce websites and converts raw HTML into structured CSV leads.
āš™ļø HOW IT WORKS (Step-by-Step):
šŸ”¹ SCRAPE LAYER:
requests.get() sends HTTP request to target URL
BeautifulSoup parses HTML using CSS selectors
Extracts: Product Name, Price, Availability
Data stored in pandas DataFrame
šŸ”¹ CLEAN LAYER:
drop_duplicates() removes duplicate entries
Regex pattern r"[^\d.]" removes currency symbols (Ā£, $)
pd.to_numeric() converts price string to float
Handles missing values automatically
šŸ”¹ STORAGE LAYER:
raw_leads.csv (original scraped data for audit)
clean_leads.csv (processed, analysis-ready data)
šŸ”¹ AUTOMATION LAYER:
schedule.every().day.at("14:51").do(run_bot)
Continuous while loop with schedule.run_pending()
Bot runs daily without manual intervention
šŸ“Š COMPLETE DATA PIPELINE: Website ā†’ HTTP Request ā†’ HTML Parse ā†’ Extract ā†’ Clean ā†’ Export CSV ā†’ Schedule Repeat
šŸŽÆ REAL-WORLD USE CASE:
Competitor price monitoring
Automated lead generation for sales teams
Market research data collection
šŸ’» TECH STACK: Python, Requests, BeautifulSoup4, Pandas, Schedule
Web ScrapingData AnalysisBeautifulSoupPython
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