Just wrapped up a large-scale real estate scraping project for a client who needed comprehensive property data across Redfin, Realtor.com, and Zillow. The specific ask was filtering for residential properties without swimming pools within defined price ranges within specific Arizona suburbs - ended up delivering 10,000 entries with complete details including addresses, home values, owner names (if found), property types, lot sizes, bedrooms, and more. What made this interesting was the client's 5.0 rating feedback and the scale of the dataset. When you're pulling tens of thousands of properties with that level of detail across multiple platforms, the possibilities for what you can do with that data really open up - investment analysis, market research, targeted marketing campaigns, you name it. If you had unlimited access to real estate data like this, what would you do with it?

We were doing research wrong. Every Monday morning, 4 of us would independently search ArXiv, Google Scholar, and PubMed for papers on AI automation and document processing. 3 hours each. 12 hours total team time. Then we'd compare notes and realize we'd all found the same 7-8 papers. Complete duplication of effort. THE BREAKING POINT: One Monday, our lead researcher was sick. We had a client call Tuesday needing current research on AI extraction methods. Nobody had done the Monday search. We looked unprepared. "We can't keep doing research this way. There has to be a better system." WHAT I BUILT: n8n workflow that runs daily at 6 AM: SCHEDULE TRIGGER - Fires every morning before team arrives ACADEMIC SEARCH NODE - Searches ArXiv, Google Scholar, Semantic Scholar simultaneously for "AI automation document processing" papers published in last 24 hours DATE FILTER - Code node that validates papers are actually from last 24 hours (some databases have lag) VALIDATION FILTER - Ensures paper has abstract, PDF link, and author information (removes incomplete entries) LIMIT TO TOP 5 - Selects highest-cited papers only NOTION INTEGRATION - Creates database page with: Title, Authors, Abstract, PDF link, Citation count, Source, Publication date SLACK NOTIFICATION - Sends formatted morning digest to #research channel The whole workflow took 30 minutes to set up. THE RESULTS: Team arrives each morning to curated research digest. Zero manual search time. Everyone sees same papers. Complete metadata automatically captured. From 12 hours weekly search → 45 minutes weekly review. Found 3 papers in last 4 months that directly influenced client projects. Would've missed them with old manual approach because they were published Thursday afternoon (we only searched Mondays). CURRENT STATUS: Been running 4 months. Zero maintenance required. Notion database now has 480+ papers with full metadata. Searchable knowledge base that grows automatically. Team actually reads MORE papers now. Discovery friction removed.