Back to Case Studies

Location Extractor

Crawl Millions of Business Websites to Extract Office Locations

Project Overview

Location Extractor is a powerful web crawling system designed to automatically discover and extract office locations from millions of business websites. Using advanced AI and NLP, the system can identify, parse, and validate location data at massive scale, creating comprehensive business location databases for market research applications.

The solution employs a Deep Web Crawler with JavaScript support and Focused Crawling techniques to efficiently navigate rich internet applications. By combining Natural Language Processing and Computer Vision, the system accurately extracts location details from specific pages like Contact Us, About Us, and Office Locations.

Industry
Market Research & Data Intelligence
Duration
6 months
Database Growth
1B to 1.5B locations

See It In Action

Watch how our crawler extracts office locations from millions of websites

Challenge

Problem

Our client offers market research to its customers. Helping customers identify the demand & supply of certain businesses in a given region. With their database offering location data of 1 Billion+ business, they wanted to expand the records in their database.

Our Approach

Solution

We built an Internet crawler. Much like a typical Search Engine's crawler – it would go to millions of websites every day, and employ AI and NLP to identify the office locations where their business operates from. These office locations would be extracted from special webpages of each website. For pages like : Contact Us, About Us, Office Locations, etc

Impact

Result

Our client was able to expand their database of 1 Billion business locations to 1.5 Billion business locations in a matter of 6 months. This 50% increase was attributed to the Location Extract Internet Crawler we built for them.

Methodology

Approach

A lot of websites today are built using rich internet applications. Because these websites make heavy use of Javascript, the typical HTTP crawlers are not able to interpret the content in such websites. To solve this we built a Deep Web Crawler. Our crawler would navigate the websites with javascript enabled web browser, and navigate through network of links on the website much like humans would. To speed up this crawler & save on crawling costs we also implemented Focused Crawling. This enabled our crawler to prevent going from the entire website content, but rather using AI to identify just the key pages where location data was most likely to be found. By identifying which webpages for Contact Us, About Us, Office Locations, we would navigate directly to them. To access only the information we were interested in. Finally we used a combination of Natural Language Process and Computer Vision to identify the very region of the pages where Location Details were mentioned.

Success Metrics

Impact Metrics

Massive database expansion achieved in just 6 months

1B
Initial Database
Business locations before expansion
1.5B
Final Database
Business locations after expansion
50%
Growth
Database expansion in 6 months
Millions
Websites Crawled
Daily website processing
Capabilities

Key Features

Advanced web crawling and location extraction capabilities

Deep Web Crawler with JavaScript support
Focused Crawling using AI
Natural Language Processing for location extraction
Computer Vision for page region identification
Automated navigation to key pages (Contact Us, About Us, Office Locations)
Cost-effective crawling optimization

Technologies Used

Robust technology stack for large-scale web crawling and data extraction

Deep Web Crawler
JavaScript-enabled Browser
Natural Language Processing
Computer Vision
Focused Crawling AI
Distributed Computing

Ready to Scale Your Data Extraction?

Let's discuss how we can help you build powerful web crawling and data extraction systems