Get Sheet Done is a Chrome extension designed for professionals who need to pull structured data from websites without the headache of manual configuration or coding. Instead of requiring users to map out CSS selectors or build complex scraping recipes, the tool uses AI to identify field names and data types as you browse. It handles the more tedious aspects of data collection, such as auto-scrolling through infinite feeds and navigating through multiple pages, while simultaneously cleaning up inconsistent formats like dates and currency values. While many enterprise-level scrapers involve a steep learning curve, this tool prioritizes speed and accessibility for sales teams, recruiters, and market researchers. It functions as a lightweight interface over the browser, making it particularly useful for platforms like LinkedIn, Amazon, or Google Maps where information is organized in repetitive layouts. While the tool is currently focused on real-time extraction, it fills a specific gap for users who find traditional web scrapers too cumbersome but need more power than a simple copy-paste. It effectively bridges the gap between manual data entry and high-end data engineering by turning live web content into structured spreadsheets.
Problem: Manually copying contact information from LinkedIn or directory sites is slow and error-prone.
Solution: The extension identifies profile data fields and extracts them directly into a structured spreadsheet.
Example: A sales rep collects 200 targeted LinkedIn profiles into a CSV in minutes by navigating through search results.
Problem: Tracking pricing changes across multiple e-commerce sites requires constant manual updates.
Solution: It uses AI to detect product names and prices, allowing for 2-click extraction from any retail site.
Example: A marketer scrapes pricing data from Amazon and Etsy to perform a weekly competitive analysis.
Problem: Realtors need to compile listings from various platforms that don't offer easy data exports.
Solution: The tool handles infinite scrolling and pagination to pull entire lists of properties into one sheet.
Example: An investor extracts hundreds of property listings from Zillow including price, sq ft, and location details.
Target audience: Best for: Sales Professionals, Real Estate Agents, Market Researchers
Pricing: Subscription · Categories: Productivity, Sales, Spreadsheets
Tags: AI, low-code/no-code, Productivity Tool, sales, spreadsheet