Case study · Real-estate investment
Axiom Realty Solutions — Cutting a Chicago property firm's manual workload by about 70%
Charyx Labs automated large-scale property-data acquisition for Axiom Realty Solutions using Selenium, the Zillow API and Apify, then built ETL pipelines feeding CRM dashboards and Google Sheets. The firm's manual data workload fell by roughly 70%, and Charyx Labs now administers the company's IT — GoHighLevel workflows, VPS, Google Workspace, domains and cloud APIs.
- Client
- Axiom Realty Solutions
- Industry
- Real-estate investment
- Location
- Chicago, Illinois, United States
The problem
- Property data was collected by hand across multiple sources, which does not scale and introduces copy errors.
- Reporting lived in spreadsheets that someone had to rebuild every week.
What we built
- Large-scale property-data acquisition with Selenium, the Zillow API and Apify.
- ETL pipelines landing clean data into CRM dashboards and Google Sheets.
- Ongoing IT administration: GoHighLevel workflows, VPS, Google Workspace, domain and cloud API management.
Outcomes
- Manual workload reduced by approximately 70%.
- Reporting is generated rather than assembled, so it is current rather than a week old.
Stack
- Python
- Selenium
- Apify
- Zillow API
- ETL
- GoHighLevel
- Google Sheets
Questions about this build
Is scraped property data reliable long term?
Scraped sources break, so the pipelines are built with per-source fallbacks and alerting — a single broken source degrades one field rather than failing the whole run. Charyx Labs says which sources are fragile before a client depends on them.