Case study

Listing Distribution Automation

Rental listings distributed to partner portals through official feeds and APIs, driven by a self-updating desktop agent and a cloud pipeline with per-portal delivery status.

Client type: Property marketing agency publishing to many portals (sample scenario)
Industry: SaaS
Duration: 8 months

Sample contentSample engagement. Illustrative scenario used while the site is in build — not a named client project.

saas2025

Python
TypeScript
PostgreSQL
Docker

01Challenge

Listings were published by hand to a long list of portals, each with a different format, media requirement and update rule. Errors surfaced as missing or stale adverts, and nobody could say with confidence where a given property was currently live.

02Solution

A distribution pipeline built on official portal feeds and partner APIs, a normalised internal listing model, and a small desktop agent for the offline media and legacy office systems that had no network interface.

03Business impact

The agency could add portals without adding headcount, and account managers could answer 'where is this listing live right now' without checking each site by hand.

04Approach

01Portal-by-portal review of official feed specifications and partner API terms
02Canonical listing model with per-portal transformation and validation
03Desktop agent for offices with local media libraries and no API access
04Self-update channel for the agent so field machines stay current
05Delivery status per portal surfaced in a single operations view

Official interfaces only

Every portal in scope was integrated through its published feed specification or a partner API agreement. Where no interface existed, the portal stayed manual and was flagged as such — automating around a site’s terms would have put the client’s accounts at risk.

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Listing Distribution Automation

Official interfaces only

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