Scrape Data from Google Maps (in 2026) | Extract Leads & Phone Numbers
Learn how to extract high quality business leads from Google Maps using Octoparse. This 2026 tutorial is designed for anyone who wants to master Google Maps scraping, local business data extraction, phone number scraping, and fully automated lead generation workflows. You will discover how to gather business details at scale using clean and reliable XPath techniques, perfect for freelancers, marketers, agency owners, and data professionals.
This updated guide shows you how to build a complete Google Maps scraper in Octoparse. You will learn how to capture business names, categories, phone numbers, websites, ratings, and addresses, all while automating scrolling, listing loops, pagination behavior, and safe scraping methods. The focus is on accuracy, efficiency, and stable data extraction for lead generation and B2B outreach.
📩 Work inquiries or custom scraping projects
Contact me directly: [email protected]
🔹 What you will learn in this 2026 tutorial
How to extract phone numbers and addresses from Google Maps
How to build a stable loop structure for business listings
How to write precise XPath for consistent data extraction
How to automate pagination
How to export and clean your data for lead generation
How to use Octoparse for Google Maps scraping in 2026
🛠 XPaths used in this tutorial
Loop Item XPath:
//DIV[contains(@class,"rlfl__tls rl_tls")]/div[contains(@id,"tsuid_")]
Address:
//span[starts-with(normalize-space(), "Address")]/following-sibling::span[@class="LrzXr"]
Phone Number:
//span[contains(@aria-label, "Call phone number")]
Website:
//span[starts-with(normalize-space(), "Website")]/ancestor::a
🔥 If this tutorial helps you scrape Google Maps faster, remember to like, share, and comment to support future guides.
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