LeadzScrapper - Chrome Extension
Case Study
Problem Statement:
The client required a Chrome extension that would enable users to scrape lead information from Google Maps search results. This involved extracting details such as business name, rating, description, and email addresses from the listings displayed on Google Maps for specific search queries (e.g., "Doctor near me"). The scraped data needed to be downloadable in an Excel format, with a login feature to access search history and previously scraped data.
Proposed Solution:
We developed a Chrome extension using React.js for the front-end and Webpack for bundling the code. The extension included a login functionality, allowing users to access their search history and download previously scraped data. Our solution employed advanced scraping techniques to extract comprehensive lead information, including email addresses, from Google Maps search results. The scraped data could be conveniently downloaded as an Excel file. The back-end was built using Django with a PostgreSQL database to store user data and scraping records.
Result:
Our Chrome extension empowered users to efficiently scrape valuable lead information directly from Google Maps search results. With the ability to extract business details, ratings, descriptions, and email addresses, users could gain a comprehensive understanding of potential leads in their area of interest. The login feature ensured secure access to search history and previously scraped data, enabling users to revisit and analyze leads at their convenience. The seamless integration of front-end and back-end components, coupled with robust scraping algorithms, delivered a powerful tool for streamlining lead generation efforts.
Technology Used:
ReactJS, WebPack, Django, AWS Lambda, AWS S3 Bucket, Google Chrome