Playwright Chromium scraping automation executing on 24-hour cron jobs to ingest raw grant listings from multiple municipal and federal agency sources.
— Case Study
AI & Machine LearningSaaS
Automated AI Government Grant Discovery & Recommendation Platform
Startups and organizations struggled to find relevant government funding across hundreds of fragmented agency portals. We built an automated discovery platform that uses Playwright web scrapers to ingest grant opportunities daily, OpenAI to standardize listing formats, and a profile-based recommendation engine to deliver targeted weekly digests.
— The Challenge
The Problem We Solved
Finding relevant public grant opportunities across municipal, state, and federal U.S. government sources created severe discovery barriers:
Government grant opportunities remained scattered across fragmented agency websites, forcing applicants to search dozens of portals manually.
Manual grant searching was time-consuming and inconsistent, causing organizations to miss critical application deadlines.
Unstructured grant listings contained formatting noise and missing category metadata, making programmatic filtering impossible.
Subscribers needed targeted notification workflows to receive high-relevance funding matches without sorting through hundreds of irrelevant listings.
4
Challenges Identified
Every challenge was systematically addressed through tailored engineering and design — no workarounds, no compromises.
— Our Solution
How We Solved It
We designed and built an automated grant aggregation and personalized recommendation ecosystem combining automated scrapers, AI formatting, and workflow orchestration:
OpenAI data processing layer that cleans unstructured portal text, standardizes eligibility criteria, and populates PostgreSQL with structured records.
n8n workflow orchestration triggering automated data pipelines, monitoring ingestion status, and scheduling weekly digest emails.
Profile-based recommendation engine matching user attributes (location, industry, company size) against open grants with percentage relevancy scoring.
Centralised Next.js user dashboard displaying open funding opportunities, status badges (Forecasted, Open), deadline countdowns, and Stripe payment integration.
Automated weekly email digest dispatching top-10 grant matches exceeding a 75% relevance score directly to subscribers.
— Tech Stack
Technologies Used
Next.js
Node.js
Express.js
TypeScript
Playwright
OpenAI API
n8n Workflows
PostgreSQL
Stripe
Cron Jobs
— Impact
Results & Outcomes
- 24-Hour
- Automated Scraping Cycles
- 75%+
- Relevance Match Threshold
- Top-10
- Automated Weekly Digest
Centralized nationwide government grant listings into a single searchable dashboard, eliminating manual portal checking.
Standardized unstructured grant text using OpenAI data parsing, producing consistent eligibility criteria and funding amounts.
Delivered high-relevance grant opportunities to subscribers automatically via personalized weekly digests.
Established a scalable subscription business model backed by automated Playwright ingestion and Stripe recurring billing.
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