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Input: First Name, Last Name, Province Every check do the following:
Return:match: YES/NOsummary: 1–2 sentence context (via OpenAI)sourceLink: direct link to case or listing
If no results: return "match": "NO" with empty summary and null linkIf loading or site unreachable: return "match": "PENDING" or "ERROR" with status messageHandles empty Airtable rows, invalid characters, and inconsistent data formatting
Make.com – for automating trigger + data flowCrawl4AI – for scraping speed and reliabilityChatGPT API – for natural language case summarizationAirtable – as source and destination for input/output
adyan@cove.devMalik1973!
adyan@getcove.coMalik1973!
Ontario → Openroom.caQuebec → CanLII, SOQUIJ, TALBC → RTB / BC HousingAlberta → Alberta Courts / QP Alberta
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PRD - AI Scraper Eviction Check
Feature: AI Legal Background & Eviction Scraper
Overview:
Take first name, last name, and province from the ID.
Core Functionality:
JSON Output Example If Fail:
{
"name": "John Doe",
"province": "Ontario",
"match": "YES",
"summary": "Jane Doe was involved in a 2023 eviction dispute related to non-payment of rent.",
"sourceLink": "https://openroom.ca/dashboard/document/366832d6-1fae-420a-b051-c4f64f8f65eb/
JSON Output Example If Passed:
{
"name": "Adyan Tanver",
"province": "Ontario",
"match": "No",
"summary": "User Passed, no records found.",
"sourceLink": ""
Edge Case Handling:
Tools:
Testing Interface:
Temporary frontend built in Next.js to manually trigger and test workflows before integrating with production at .
Logins:
Make.com
Airtable
Dump
Then for every search use crawler / ai to check these websites
Use browserbase to get past, do later
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