From NYC Property Violation Data to Paid Contractor Leads

Public records are easy to collect and hard to turn into something anyone will pay for. A property violation record tells you an issue exists. It doesn't tell you who to call, whether the opportunity is even worth a contractor's time, or whether somebody already bought the lead an hour ago.

For Sidewalk Fix NYC, we built an n8n-powered pipeline that carries an opportunity from raw property data all the way through enrichment, outreach, payment, and delivery. One constraint shaped almost every decision in the build: contractors needed enough information to judge whether a lead was worth buying, but the homeowner's actual contact details had to stay hidden until someone paid for them.

Enrich it before you try to sell it

The workflow pulls NYC property violation records and runs them through BatchData's reverse-address lookup to surface homeowner contact information. Everything gets stored centrally, ready for the sales and fulfillment steps downstream. That matters because a raw violation record and a sellable lead are two different things: the system has to connect a relevant property event to real, usable contact data before any of the rest of it makes sense.

Once a batch of qualified leads is ready, Twilio SMS reaches out to local contractors directly. The message can describe a relevant opportunity without putting the homeowner's full details in that first text. That's exactly the gap the next step exists to close.

A preview that sells without giving anything away

PDFMonkey generates a teaser report for each lead: enough detail to show a contractor what the opportunity actually is, with the sensitive homeowner information masked out. That report is the real commitment gate in this whole system: a contractor gets to evaluate before they pay, and the full, usable report stays locked behind the purchase.

Once Stripe confirms payment, the automation validates the webhook, marks that specific lead as sold in the database, and releases the unlocked report. That "sold" flag isn't a reporting afterthought. It's load-bearing. Without it, a second workflow run could resell the exact same lead to someone else an hour later, and the whole trust model falls apart.

More than a scraper with a storefront

What makes this build worth describing isn't any single step. It's that it joins several jobs that are normally handled by different people at different times: finding the public record, enriching it, reaching the right buyer, generating something sellable, taking payment, and releasing the goods. The hard part was never any one of those steps in isolation. It was keeping one consistent status for each lead as it moved through all of them.

We don't have a verified lead volume or revenue number to share here, and we'd only add one once it can be confirmed. What the build already demonstrates is a pattern worth stealing: when the information itself is the product, access control and sale status can't be bolted on afterward. They have to be designed into the workflow from the first step.

Have a data source that still needs a person to research and fulfill it by hand? Tell us about the process.