AI Construction News Scrapper
Automated system to track, analyze, and organize construction companies’ press releases for competitive insights
A construction intelligence agency faced major hurdles in tracking competitor news and contract announcements:
Manual overload
They had to check company websites weekly—time-consuming and inconsistent.
Rigid code
Their scraping workflow was hard-coded, which requires rewrite for every new target site, and whenever the existing page structure changes
Unstructured data
Google Sheets couldn’t support analysis or filtering at scale.
I proposed and implemented a system built with Airtable and Relay.app to deliver continuous, reliable press monitoring:
Structured Database
Airtable stores and organizes announcements, categorized by type, company, date, and contract value.
Custom Dashboard
A clean Airtable interface lets the team filter by contract type, company, or timeframe—no spreadsheet mess.
AI-Automated Scraping
Relay.app scrapes company sites weekly and feeds results into the database. Natural language models extract key information like project value, location, and partners from raw announcements.
Easy scaling
The same scraping flow can be reused by potentially hundreds of more construction websites, without recreate the flow